271 Results for Data Engineer Jobs in Remoter

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Data Engineer

Cincinnati, OH
remote
Temporary / Contract
80.00 - 100.00 USD / Hourly
We are looking for an experienced Data Engineer to support enterprise-scale data initiatives for a financial services environment in Cincinnati, Ohio. This Long-term Contract position will focus on building reliable data foundations, shaping data structures that support investment and portfolio reporting, and partnering with business and technology leaders to solve complex information challenges. The ideal candidate brings deep expertise in modern data engineering, strong knowledge of financial data domains, and the ability to turn strategic needs into scalable technical solutions. Responsibilities: • Design and maintain scalable data pipelines that collect, transform, and deliver high-value business and financial data across enterprise platforms. • Develop conceptual, logical, and physical data models that improve consistency, usability, and long-term management of critical information assets. • Collaborate with executive stakeholders, business teams, and technical partners to define data solutions aligned with operational and strategic objectives. • Establish and strengthen practices for data governance, stewardship, metadata management, lineage tracking, and data quality oversight. • Translate complex business questions related to funds, investments, portfolio companies, and investors into effective engineering and data architecture solutions. • Build and optimize ETL workflows using technologies such as Python, Apache Spark, Hadoop, and Kafka to support large-scale data processing. • Partner across business and technology functions to ensure data platforms meet regulatory, privacy, risk, and compliance expectations within a financial services setting. • Analyze enterprise data issues, identify improvement opportunities, and implement solutions that enhance reliability, accessibility, and reporting accuracy.
2026-11-02T14:58:46Z

Sr. Data Engineer

Minneapolis, MN
onsite
Permanent / Full Time
115000.00 - 144000.00 USD / Yearly
We are looking for a Senior Data Engineer to strengthen our data foundation and help deliver reliable, scalable information solutions across Minneapolis, Minnesota. In this role, you will create and optimize modern data platforms that power analytics, reporting, and machine learning initiatives. You will collaborate with technical and business partners to turn complex source data into trusted, accessible assets that support better decisions across the organization. Responsibilities: • Build and maintain scalable data pipelines that ingest, transform, and deliver information from a variety of enterprise and operational data sources. • Design data models and warehouse structures that improve reporting performance, support analytics use cases, and enable long-term scalability. • Develop and orchestrate ETL and ELT workflows using cloud-based and workflow automation tools to ensure dependable data movement across systems. • Create batch and near-real-time processing solutions that provide timely, accurate datasets for downstream applications and analytical teams. • Write efficient, well-structured Python and SQL code to cleanse, transform, and validate large and complex datasets. • Monitor pipeline health, investigate failures, and tune jobs for reliability, cost control, and overall platform performance. • Establish data quality checks, testing routines, and governance practices to maintain consistency, integrity, and compliance across the data environment. • Partner with architects, analysts, data scientists, AI/ML engineers, and DevOps teams to support production-ready data products, automated deployments, and reproducible machine learning workflows.
2026-11-04T22:08:42Z

Data Engineer

Campbell, CA
remote
Temporary to Hire
60.00 - 82.00 USD / Hourly
We are looking for an experienced Data Engineer to strengthen and scale an enterprise data environment in California. This contract opportunity with potential for a permanent role is ideal for someone who enjoys building reliable cloud-based data solutions, shaping reporting-ready datasets, and connecting information from diverse business platforms. The role offers meaningful ownership across data modeling, pipeline development, and analytics enablement while working closely with stakeholders in a collaborative setting. Responsibilities: • Create and refine scalable data structures that support reporting, analytics, and long-term platform growth. • Develop and maintain curated datasets that are dependable, well-organized, and ready for business intelligence use. • Connect data from multiple enterprise applications and align it into a consistent, usable format. • Build and manage mappings, reference relationships, and cross-system data associations to improve data consistency. • Enhance existing ingestion and transformation workflows to support expanding business and analytics needs. • Strengthen platform stability through better monitoring, testing practices, and operational improvements. • Tune and optimize data processing performance while contributing to ongoing platform enhancements. • Produce clear documentation for lineage, transformation rules, and support procedures to improve maintainability. • Collaborate with business partners to deliver high-confidence data assets that support reporting and decision-making. • Help establish engineering standards, documentation practices, and technical guidelines across the data platform.
2026-11-04T15:04:01Z

Principal Data Engineer

Avon, MN
onsite
Permanent / Full Time
130000.00 - 190000.00 USD / Yearly
We are looking for a Principal Data Engineer to shape and lead a modern enterprise data platform serving multiple business lines. This position will define the architectural direction for a Microsoft Fabric-based environment, guide engineering best practices, and partner closely with data and IT leaders to support long-term growth. The role is ideal for a senior technical expert who combines deep hands-on engineering capability with strong mentorship and platform strategy experience. Responsibilities:• Lead the design and ongoing evolution of a Microsoft Fabric lakehouse environment, establishing a scalable architecture across raw, refined, and curated data layers.• Create and support robust data integration workflows that bring information together from more than 30 enterprise applications and operational platforms.• Set technical standards for data engineering, including coding practices, solution design patterns, documentation, and review processes.• Mentor data engineers through hands-on coaching, collaborative development, and detailed code feedback to strengthen team capability.• Partner with data and IT leadership to align platform architecture with business priorities and future expansion needs.• Develop high-quality data pipelines using modern tools and frameworks such as SQL, Python, Spark, and PySpark within cloud-based data ecosystems.• Evaluate new technologies, architectural approaches, and data platform trends, then provide informed recommendations for adoption.• Support governance and platform reliability by promoting strong lineage, quality, performance, and scalable engineering practices.• Contribute to cross-platform interoperability initiatives, including environments that may involve Databricks, governance tooling, and enterprise data services.
2026-10-16T13:04:08Z

Data Engineer

Mckinney, TX
onsite
Temporary to Hire
63.34 - 73.34 USD / Hourly
We are looking for a Data Engineer to join a confidential enterprise organization in McKinney, Texas and help advance a large-scale cloud data environment. This contract opportunity with potential for a permanent role focuses on building and refining a modern lakehouse platform in Azure, with a strong emphasis on Azure Databricks and scalable data engineering practices. The role will work across technical and business teams to create dependable, secure, and high-performing data solutions that support analytics and decision-making. Responsibilities: • Create and maintain robust data pipelines in Azure Databricks using Spark-based engineering approaches to support large-volume processing needs. • Build ingestion frameworks that bring data from APIs, event streaming platforms, cloud storage, and enterprise systems into structured lakehouse layers. • Apply lakehouse design standards across bronze, silver, and gold environments to improve data usability, consistency, and downstream reporting value. • Enhance platform efficiency by tuning Spark workloads, refining storage strategies, and improving processing performance and cost management. • Connect Databricks solutions with Azure services such as Data Factory, Synapse, Data Lake Storage, Event Hub, Key Vault, and Azure DevOps. • Establish secure data access patterns through governance controls, identity-based access, and protection measures such as masking and policy alignment. • Partner with architects, analysts, data scientists, and business stakeholders to deliver trusted datasets, metrics, and KPI-ready data assets. • Strengthen data reliability by implementing validation checks, monitoring, lineage tracking, alerting, and recovery processes for critical workflows. • Contribute technical leadership through code reviews, engineering guidance, and mentoring support for other members of the data team.
2026-11-09T17:33:44Z

Data Engineer

Jacksonville, FL
onsite
Permanent / Full Time
115000.00 - 130000.00 USD / Yearly
We are looking for a Data Engineer to join our team in Jacksonville, Florida and help shape scalable, enterprise-ready analytics solutions. In this role, you will turn complex business needs into well-structured data models, high-performing pipelines, and actionable reporting assets that support informed decision-making. The ideal candidate brings deep experience with modern data platforms, strong technical leadership, and the ability to guide best practices for analytics, governance, and data usability across the organization. Responsibilities: • Design and maintain scalable data pipelines and transformation workflows using tools such as Python, Apache Spark, Hadoop, Kafka, and ETL frameworks. • Build and optimize enterprise semantic models that support consistent metrics, reusable analytics assets, and reliable reporting across multiple business areas. • Partner with business and technical stakeholders to convert complex requirements into practical data solutions, dashboards, and analytical datasets. • Develop and support analytics solutions within modern cloud and hybrid environments, with a strong focus on Microsoft Power BI, Microsoft Fabric, and Azure Synapse Analytics. • Improve data quality, model performance, and platform reliability through testing, validation, tuning, and adherence to established governance standards. • Provide technical guidance to team members by sharing best practices in data modeling, visualization, and scalable analytics design. • Evaluate and incorporate AI-enabled analytics capabilities and automation opportunities while ensuring outputs align with business needs and quality expectations. • Communicate technical concepts and analytical insights clearly to a range of audiences, including leadership, to support strategic decisions.
2026-10-21T12:58:47Z

Sr. Data Engineer

Newport Beach, CA
onsite
Temporary / Contract
55.00 - 60.00 USD / Hourly
We're seeking a hands-on Senior Data Engineer to lead the design, optimization, and evolution of a growing data platform. This role will focus on building scalable data pipelines, improving data quality, optimizing database performance, and supporting enterprise reporting and analytics initiatives. This role is FULLY ONSITE in Newport Beach, CA What You'll Do<ul><li>Design and maintain scalable ETL/ELT pipelines</li><li>Optimize PostgreSQL databases and complex SQL workloads</li><li>Lead data migration and integration efforts from legacy systems</li><li>Build data quality, validation, and deduplication processes</li><li>Develop solutions within a cloud data warehouse environment (Snowflake)</li><li>Implement monitoring, alerting, and reliability best practices</li><li>Partner with business and technical stakeholders to deliver trusted data solutions</li></ul>
2026-11-07T00:38:41Z

Data Engineer

Saddle Brook, NJ
onsite
Temporary to Hire
75.00 - 75.00 USD / Hourly
We are looking for a Data Engineer to join a Chemicals Manufacturing organization in New Jersey in a contract-to-permanent capacity. This role focuses on creating reliable, secure, and scalable data solutions that connect operational and business systems to enterprise reporting, analytics, and advanced data use cases. The position will work across IT and operational environments to support trusted data delivery for functions such as finance, supply chain, operations, commercial teams, and corporate analytics. Responsibilities:• Design, build, and maintain large-scale data pipelines that move information from enterprise and operational source systems into structured data layers for analytics and reporting.• Develop curated and semantic data models that support business intelligence platforms, downstream applications, and data-driven decision-making across the organization.• Connect manufacturing and operational technology data sources using approved integration methods while coordinating with plant and controls teams to protect system reliability and safety.• Establish data quality standards through validation rules, automated testing, and monitoring processes that improve accuracy, completeness, and timeliness of delivered datasets.• Implement observability practices such as lineage tracking, alerting, and operational runbooks to strengthen support processes and reduce production issues.• Apply security and governance controls including access management, secrets handling, data classification, and retention practices aligned with enterprise policies.• Automate deployment workflows with Git-based CI/CD processes to promote consistent releases across environments and improve delivery reliability.• Tune platform performance and resource usage by optimizing processing strategies, scaling approaches, and storage patterns to balance speed and cost.• Partner with BI, data, and IT stakeholders to define data contracts, document solutions, and provide operational knowledge transfer to internal teams and external partners. 02710-0013476075
2026-10-22T15:08:45Z

Data Engineer

Minneapolis, MN
onsite
Permanent / Full Time
90000.00 - 115000.00 USD / Yearly
We are looking for a Data Engineer to strengthen reporting and data capabilities for distribution operations in Minneapolis, Minnesota. In this role, you will turn information from sales, inventory, warehouse, vendor, and point-of-sale platforms into practical insights that support branch leaders, purchasing teams, and senior decision-makers. The position focuses on creating reliable data solutions that improve inventory planning, pricing visibility, and day-to-day operational performance across a multi-site distribution environment. Responsibilities: • Design, build, and maintain data pipelines that consolidate information from ERP, point-of-sale, warehouse, vendor, and sales systems. • Develop dashboards and operational reports that help business teams monitor inventory movement, pricing performance, margin trends, and service levels. • Write and optimize SQL queries to extract, validate, and transform data from platforms such as SQL Server, Postgres, and distribution-focused ERP systems. • Partner with branch management, purchasing, and leadership teams to translate business questions into clear analytics and reporting solutions. • Ensure data quality and consistency by investigating discrepancies, validating source data, and improving reporting logic across systems. • Support analysis of inventory health by tracking metrics such as turns, fill rate, reorder thresholds, and safety stock performance. • Produce insights that help identify opportunities to improve replenishment decisions, operational efficiency, and pricing accuracy across multiple branches or warehouses. • Contribute to reporting and integration work involving business systems and connected commerce platforms when operational data needs evolve.
2026-10-30T11:44:09Z

Data Engineer

Salt Lake City, UT
onsite
Permanent / Full Time
90000.00 - 110000.00 USD / Yearly
We are looking for a Data Engineer to join our team in Salt Lake City, Utah and help build reliable, scalable data solutions that support key business initiatives. This role is ideal for someone who combines strong hands-on engineering ability with sound technical judgment and can guide decisions across architecture, delivery, and system improvement. The right candidate brings experience working with modern cloud services, data modeling practices, and collaborative development environments while communicating effectively with both technical and business partners. Responsibilities: • Lead the technical direction for a core data domain, making thoughtful architecture decisions that support scalability, reliability, and long-term maintainability. • Design, build, and enhance data pipelines and platform components using Python, SQL, DBT, and cloud-based services within AWS environments. • Develop data models aligned with Kimball methodology to support analytics, reporting, and downstream business use cases. • Break large initiatives into clear technical workstreams, estimate effort, and drive execution against timelines while monitoring progress and addressing delivery risks. • Work closely with cross-functional partners to convert business goals into practical data solutions and provide guidance on technical tradeoffs. • Establish and reinforce engineering standards through code reviews, design discussions, and implementation of best practices for quality and performance. • Identify areas of technical debt, prioritize remediation efforts, and balance platform stability with the delivery of new capabilities. • Implement monitoring, alerting, and maintenance strategies that improve system health, data reliability, and operational visibility. • Assess emerging tools and approaches to recommend improvements that strengthen system efficiency, searchability, and maintainability.
2026-11-09T17:44:04Z

Staff Data Engineer

Brookfield, WI
onsite
Permanent / Full Time
160000.00 - 200000.00 USD / Yearly
We are looking for a Staff Data Engineer to shape the direction of enterprise data platforms in Brookfield, Wisconsin. In this role, you will guide technical decisions, partner with engineering and leadership teams, and build scalable solutions across hybrid environments. This position focuses on delivering secure, high-performing data capabilities that support both internal operations and client-facing data products while maintaining strong governance and privacy standards. Health care industry experience is strongly desired. Responsibilities:• Provide senior technical guidance on data platform architecture, serving as a key advisor to engineering partners and business leaders.• Design and evolve scalable frameworks for ingesting, transforming, storing, and governing high-value data across warehouse and lakehouse environments.• Lead delivery of complex data initiatives by aligning project scope, coordinating contributors, and communicating progress, risks, and outcomes to stakeholders.• Establish and uphold data governance, lineage, auditability, and stewardship practices, including administration of cataloging capabilities that improve visibility and control.• Develop and enforce data security standards, including least-privilege access models and protections for sensitive and de-identified healthcare information.• Architect and optimize robust batch, streaming, and event-driven pipelines that improve reliability, resilience, and processing efficiency at enterprise scale.• Build and enhance cloud-based data solutions using Databricks, Delta Live Tables, Python, Scala, and ETL technologies to support diverse structured and unstructured datasets.• Create and maintain infrastructure as code with Terraform and related deployment assets to strengthen platform consistency, scalability, and operational efficiency.• Develop APIs and integration patterns that connect internal platforms and external systems, enabling dependable data exchange with third-party applications and client solutions.• Monitor platform performance, manage pipeline health, and partner with the business on cost-conscious designs that balance transparency, value, and long-term sustainability.
2026-11-10T20:04:06Z

AWS Senior Data Engineer

Torrance, CA
remote
Temporary / Contract
70.00 - 76.00 USD / Hourly
We are looking for an AWS Senior Data Engineer to join a long-term contract opportunity in Southern California. This onsite role requires a highly experienced data engineering specialist who can build resilient, scalable data platforms and support enterprise analytics through well-architected cloud solutions. The ideal candidate will bring deep expertise in AWS-based data ecosystems, modern ETL development, and data warehousing, while maintaining a strong focus on quality, security, and performance. Responsibilities:• Build and support cloud-based data pipelines that move and transform large volumes of data using AWS services such as S3, Glue, Athena, Redshift, Spectrum, Lambda, and MWAA/Airflow.• Create scalable ETL and ELT workflows with Python, PySpark, Apache Spark, or Scala to deliver reliable datasets for reporting, analytics, and operational use.• Strengthen data quality by implementing validation rules, exception handling, monitoring, and cleansing processes across integration pipelines.• Improve platform efficiency by tuning queries, refining workflow design, and addressing processing bottlenecks to meet performance targets and cost expectations.• Partner with analysts, technical teams, and business stakeholders to convert data needs into technical designs and production-ready engineering solutions.• Maintain dependable data availability for business intelligence initiatives by ensuring pipelines are stable, timely, and aligned with service-level requirements.• Produce and update technical documentation while supporting adherence to data governance, security controls, and regulatory expectations.• Contribute to secure data lake operations through access management, policy enforcement, and governance practices within AWS Lake Formation and related cloud services.
2026-11-10T20:18:55Z

Data & Integration Engineer

Mankato, MN
onsite
Permanent / Full Time
95000.00 - 115000.00 USD / Yearly
We are looking for a Data & Integration Engineer to support the design and delivery of dependable data solutions for healthcare operations in Mankato, Minnesota. In this role, you will create and optimize data pipelines, connect critical applications, and help ensure information moves accurately across clinical, operational, and business platforms. This position is ideal for someone who combines strong technical depth with a practical understanding of healthcare data standards, platform reliability, and regulatory expectations. Responsibilities: • Develop and support scalable data workflows that collect, transform, and distribute information across enterprise systems. • Build and manage integrations between clinical, operational, and business applications to enable consistent data exchange. • Monitor data processing and interface performance, troubleshoot failures, and improve overall reliability of connected systems. • Establish and maintain controls that strengthen data accuracy, completeness, and consistency throughout the data lifecycle. • Create and enhance data infrastructure using modern cloud and database technologies to support reporting, analytics, and operational needs. • Partner with technical and business teams to understand integration requirements and translate them into effective engineering solutions. • Implement solutions that align with healthcare data regulations and interoperability expectations across connected platforms. • Support interfaces and data connections involving electronic health record and practice management systems, including related downstream applications.
2026-10-08T15:43:43Z

Snowflake Data Engineer

Radnor, PA
onsite
Permanent / Full Time
140000.00 - 160000.00 USD / Yearly
We are looking for a Snowflake Data Engineer to build modern data solutions that support analytics, AI, and enterprise decision-making. This role will focus on creating reliable pipelines, scalable data models, and secure data products within a Snowflake environment. The position is based in Radnor, Pennsylvania, and offers the opportunity to work closely with engineering, security, product, and business teams on high-impact initiatives. Responsibilities: • Architect and maintain scalable data pipelines, transformation workflows, and structured data models within Snowflake to support reporting, analytics, and AI use cases. • Develop and deploy AI and machine learning capabilities using Snowflake-native tools, including intelligent agents, search-driven experiences, and customer-facing applications where applicable. • Define and manage semantic views and business logic layers that provide governed, consistent definitions for analytics and AI consumption. • Implement and support data ingestion frameworks using technologies such as Kafka, Snowpipe, APIs, Openflow, and third-party connectors, including integrations with enterprise platforms like NetSuite. • Create reusable engineering utilities and automation with SQL, SnowSQL or related Snowflake tooling, Python, and JavaScript when appropriate. • Establish strong production standards through automated testing, data quality validation, observability, exception handling, and controlled deployment processes. • Tune queries, pipelines, AI workloads, and data structures to improve performance, scalability, maintainability, and downstream usability. • Design secure data-sharing solutions and data-product delivery patterns for internal stakeholders, external partners, and customers. • Collaborate with platform administrators and security teams to align access controls, governance requirements, identity integration, and production readiness for Snowflake solutions. • Investigate and resolve issues affecting pipelines, semantic models, applications, and data quality while partnering across technical and business teams to deliver durable solutions.
2026-11-03T19:04:01Z

Data Engineer

Oskaloosa, IA
onsite
Permanent / Full Time
- USD / Yearly
Position: Data Engineer Location: Oskaloosa, IA / Des Moines, IA -- Onsite Salary: $100,000 - $120,000 base + exceptional benefits *** For immediate and confidential consideration, please APPLY and EMAIL YOUR RESUME to MEREDITH CARLE . My email can be found on my LinkedIn page. *** Data Engineer Shape the Future of Enterprise Analytics, AI & Data Innovation Are you the type of data professional who sees a business problem and immediately starts thinking about how to model, engineer, and deliver the right solution? A highly successful, technology-driven organization is seeking a Data Engineer to help build the foundation for enterprise analytics, business intelligence, governance, and next-generation AI initiatives. This is an opportunity to make a visible impact across the business while working alongside a collaborative team of data professionals who are passionate about solving complex challenges. This role is ideal for someone who enjoys being hands-on, partnering with the business, and building modern data solutions that drive meaningful outcomes. What You'll Do • Design and develop scalable data models, semantic layers, and enterprise data solutions • Build trusted data structures that support analytics, reporting, AI, and business intelligence initiatives • Develop and optimize cloud-based data pipelines and integrations • Improve data governance, lineage, metadata management, and observability practices • Create automated data quality and validation frameworks • Implement CI/CD processes and modern DataOps best practices • Optimize SQL performance across warehouses, lakehouses, and reporting environments • Partner with analysts and business stakeholders to transform complex problems into actionable solutions • Contribute to technical standards, mentoring, documentation, and architectural best practices What We're Looking For Core Qualifications • Strong experience with data modeling and semantic modeling • Hands-on experience with Microsoft Fabric, Azure, and Power BI • Advanced SQL development and performance optimization skills • Experience with Git, CI/CD, and modern data engineering practices • Ability to translate business requirements into scalable technical solutions • Experience developing enterprise data pipelines and analytics platforms • A plus if you have data governance, data warehouse, data lake and or DBT experience. *** For immediate and confidential consideration, please APPLY and EMAIL YOUR RESUME to MEREDITH CARLE . My email can be found on my LinkedIn page. Also, you may contact me at 515-303-4654. Or one click apply on our Robert Half website. No third party inquiries please. Our client cannot provide sponsorship and cannot hire C2C. ***
2026-10-13T13:58:43Z

Data Engineer

Philadelphia, PA
remote
Temporary / Contract
- USD / Hourly
We are looking for an experienced Data Engineer to support the design and delivery of scalable data solutions within the People and HR data domain in Philadelphia, Pennsylvania. This Long-term Contract position is ideal for someone who can step into an existing environment, learn source systems quickly, and build reliable data pipelines that support reporting and business analysis. The role centers on hands-on development using Azure Databricks, Spark, and Azure Data Factory, with an emphasis on creating production-ready data assets. Experience working with HR data and workforce-related systems will be highly valuable in helping translate business needs into dependable engineering solutions. Responsibilities: • Design, build, and maintain data pipelines that ingest, transform, and prepare HR and workforce data for downstream analytics and reporting. • Develop scalable data processing solutions using Azure Databricks, Python, Spark, and SQL to support production-grade data products. • Orchestrate and monitor data workflows through Azure Data Factory to ensure timely, accurate, and resilient data movement. • Analyze existing data sources and business requirements to create efficient transformation logic and structured datasets. • Collaborate with stakeholders across technical and functional teams to align data engineering deliverables with HR reporting and operational needs. • Improve data quality, performance, and reliability by applying sound ETL practices, validation checks, and optimization techniques. • Support integration efforts involving HR systems and related interfaces, including work connected to evolving source platforms when needed. • Contribute to documentation, technical standards, and knowledge sharing to support maintainability and long-term solution success.
2026-10-15T15:33:45Z

Data Engineer

Oklahoma City, OK
onsite
Permanent / Full Time
100000.00 - 125000.00 USD / Yearly
A Manufacturing/ distribution company is looking for a Data Engineer with 3 + years of experience to join a dynamic team in Oklahoma City, Oklahoma. In this role, you will play a crucial part in designing and maintaining the data infrastructure to support analytics and decision-making processes. You will be a key contributor in developing, optimizing, and maintaining the data infrastructure that supports analytics and business intelligence initiatives, and data driven decision-making using Snowflake, Matillion, and other tools. Position will be in-office to work closely with the team. You must live in the Oklahoma City area. Client is unable to sponsor. No 3rd parties please. Responsibilities: • Design, develop, and maintain scalable data pipelines to support data integration and real-time processing.• Implement and manage data warehouse solutions, with a strong focus on Snowflake architecture and optimization.• Write efficient and effective scripts and tools using Python to automate workflows and enhance data processing capabilities.• Work with SQL Server to design, query, and optimize relational databases in support of analytics and reporting needs.• Monitor and troubleshoot data pipelines, resolving any performance or reliability issues.• Ensure data quality, governance, and integrity by implementing and enforcing best practices.
2026-10-09T16:44:06Z

Systems Engineer

Seattle, WA
remote
Temporary / Contract
55.00 - 63.00 USD / Hourly
Robert Half is seeking an Interoperability Engineer to support a healthcare client based in Seattle, WA. This is a senior, hands-on role on a small team. You will design and validate the data flows, write the specifications partners build against, and work directly with partner engineers to get them live. Apply today! Location: 100% Remote Duration: Through September 2027 – possible for extension/conversionSchedule: Monday – Friday (40 hours, must align with the team and overlap hours during 9-3PM PST) Job Responsibilities: Standards and data design• Own the mapping and conversion of inbound C-CDA/CCD documents into FHIR R4 resources in Azure Health Data Services, including conversion templates and handling of data that does not map cleanly.• Define the FHIR profiles, validation rules, and implementation guidance for trading partners posting FHIR bundles to us.• Ensure the data we ingest and expose conforms to USCDI v3 and US Core, and maintain the testing and evidence needed to demonstrate conformance Washington state IT security standards.• Guide terminology handling across LOINC, SNOMED CT, RxNorm, ICD-10-CM, and CVX.Patient identity and data quality• Own the data flow for how incoming records are matched and linked through our master patient index before landing in the FHIR service.• Partner with our data engineer to monitor data quality, identify partner-specific issues, and drive fixes at the source.APIs for participants and payers• Own the design for the FHIR APIs we expose to participants and payers, including search behavior, authorization scopes, and documentation.Partner onboarding and migration• Lead technical onboarding for trading partners: specifications, connectivity and conformance testing, troubleshooting, and go-live.Building and operating with the team• Work with our developers on Azure-based ingestion pipelines, giving them precise requirements for what correct output looks like.• Work with our operations engineering team on monitoring, alerting, runbooks, and incident response for clinical data flows.• Apply strong privacy and security practices to every flow that touches protected health information.
2026-11-06T22:28:42Z

Data Automation Engineer

Washington, DC
remote
Temporary / Contract
48.00 - 54.00 USD / Hourly
We are looking for a Data Automation Engineer to design, develop, and maintain scalable data automation solutions leveraging AWS cloud services, selected Azure technologies, and emerging Generative AI capabilities. Key Responsibilities:· Design and implement scalable data automation workflows using AWS services with integration to Azure platforms.· Develop and maintain ETL/ELT processes to ingest, transform, and move data across DynamoDB, SQL Server, Azure SQL, and other enterprise data sources.· Build and support batch and near real-time data pipelines using Apache Spark and streaming technologies such as Kafka or Flume.· Develop scalable data processing solutions utilizing Amazon EMR, AWS Fargate, Kubernetes, and related cloud technologies.· Integrate REST APIs, external services, and Amazon Connect customer interaction data into analytics platforms.· Evaluate and prototype Generative AI solutions using Amazon Bedrock, Azure OpenAI, Hugging Face, LangChain, and related technologies.· Implement source control, CI/CD, and automation practices using GitHub, Azure DevOps, Jenkins, Docker, and Agile methodologies.· Ensure data solutions meet security and compliance requirements, including IAM, encryption, RBAC, VPC isolation, and firewall policies.
2026-10-15T16:58:42Z

Database Developer

Lehi, UT
remote
Permanent / Full Time
160000.00 - 180000.00 USD / Yearly
Staff Database EngineerThis Staff Database Engineer will play a key role in modernizing a large, multi-tenant database environment, with particular focus on Couchbase, large-scale migrations, AWS database technologies, data pipelines, and production reliability. This is a hands-on Staff-level role requiring both deep technical expertise and the ability to guide architecture and migration strategy.What You'll Do<ul><li>Lead large-scale database migrations involving TB+ datasets, including planning, data validation, replication, cutover, rollback, and risk mitigation.</li><li>Evaluate existing Couchbase workloads and determine whether they should remain on Couchbase or migrate to DynamoDB, DocumentDB, or another database platform based on access patterns, scale, performance, and cost.</li><li>Configure, monitor, and troubleshoot Couchbase XDCR or comparable replication technologies, including replication failures, lag, and performance issues.</li><li>Design database strategies for complex multi-tenant environments with varying customer sizes, traffic patterns, and performance requirements.</li><li>Architect and support cloud database solutions primarily within AWS, utilizing technologies such as DynamoDB, DocumentDB, RDS, DMS, Glue, Lambda, and CloudWatch.</li><li>Design, build, and support ETL/ELT pipelines feeding Snowflake or similar modern data platforms, including data validation, backfills, recovery, and troubleshooting.</li><li>Use Python and SQL for automation, data processing, database operations, and workflow orchestration.</li><li>Take ownership of production database incidents, from troubleshooting and recovery through root-cause analysis and preventative improvements.</li><li>Establish proactive monitoring, alerting, and performance strategies using Datadog, CloudWatch, Azure Monitor, or similar observability tools.</li><li>Serve as a technical leader, partnering with engineering teams on database architecture, migrations, performance, reliability, and platform strategy.</li></ul>
2026-11-09T17:28:45Z

Data Governance Engineer

Glendale, CA
onsite
Temporary / Contract
72.00 - 78.00 USD / Hourly
We are looking for a Data Governance Engineer to support the implementation, administration, and continuous improvement of enterprise data governance capabilities across a modern cloud data platform. This role will work closely with data platform, security, and product teams to translate governance requirements into scalable technical solutions that improve data security, accessibility, quality, and compliance. Key Responsibilities:· Administer and configure Snowflake security and governance capabilities, including RBAC, dynamic masking, and object tagging.· Implement, maintain, and troubleshoot access governance controls within Immuta and other governance platforms.· Configure and monitor data quality checks, alerting mechanisms, and governance-related operational processes.· Maintain, enrich, and optimize enterprise data catalog content to improve discoverability, classification, and metadata quality.· Support the adoption and enhancement of AI-assisted data documentation and description generation tools.· Partner with engineering teams to test, validate, and deploy ingest-time data tagging and metadata management solutions.· Collaborate with program and product stakeholders to translate governance policies, security requirements, and compliance standards into technical implementations.· Support governance operations, incident resolution, root cause analysis, and continuous process improvement initiatives.· Participate in evaluations, testing, and implementation of new governance, catalog, quality, and security technologies.
2026-10-28T19:08:45Z

Data Platform Engineer

Cleveland, OH
onsite
Permanent / Full Time
75000.00 - 90000.00 USD / Yearly
One of Robert Half's clients is looking for a curious, resourceful Data Platform Engineer to help us strengthen the foundation behind our data. This is a hands-on, growth-oriented role for someone who enjoys investigating how systems work, solving practical problems, and learning new technologies. You will help build and maintain data pipelines, improve the reliability and accessibility of our data, and contribute to an assessment of our current data architecture. You will have the opportunity to work across several areas of data engineering rather than being limited to one narrow specialty. This may include data integration, pipeline development, data modeling, quality monitoring, documentation, reporting support, and architecture discovery. We are more interested in how you approach problems than whether you have already used every technology in our environment. The right person is dependable, asks thoughtful questions, follows work through to completion, and knows how to use modern AI development tools responsibly and effectively. Essential Functions Build, maintain, and improve pipelines that move data between operational systems, databases, warehouses, and reporting tools. Help document our existing data environment, including data sources, integrations, transformations, storage, reporting dependencies, and access controls. Support an audit of the current data architecture by investigating how systems connect and identifying potential reliability, scalability, data-quality, security, or maintainability concerns. Work with more experienced team members and business stakeholders to evaluate and prioritize improvements. Develop and maintain reusable data models for reporting, analytics, and operational use. Add testing, monitoring, alerting, logging, and documentation to important data workflows. Investigate failed jobs, inconsistent metrics, and other data issues through structured root-cause analysis. Write readable, maintainable code using source control, code review, automated testing, and repeatable deployment practices. Translate business needs into practical technical solutions with guidance from internal stakeholders. Use AI-assisted development tools to accelerate research, coding, testing, documentation, and troubleshooting. Review and validate AI-generated work rather than accepting it without verification. Learn unfamiliar systems and technologies as needed and share what you discover with the team. Knowledge, Skills & Abilities Strong foundational SQL skills and experience working with relational data. Working knowledge of Python, R, or another language used for data processing and automation. Some experience building, modifying, or supporting ETL/ELT pipelines. Familiarity with databases, data warehouses, APIs, scheduled jobs, or cloud-based data services. Basic experience with Git and modern software-development practices. An ability to investigate unfamiliar problems, test assumptions, and communicate findings clearly. A dependable approach to execution, documentation, and follow-through. Genuine curiosity and a willingness to learn technologies outside your current experience. Practical experience using AI coding assistants or language models as part of a development workflow. Good judgment about validating AI-generated code and protecting confidential or sensitive company information.
2026-10-30T14:58:43Z

Sr. MLOps Engineer

King of Prussia, PA
onsite
Permanent / Full Time
165000.00 - 185000.00 USD / Yearly
We are looking for a Senior MLOps Engineer to strengthen our machine learning infrastructure in King of Prussia, Pennsylvania. This hybrid position will focus on building dependable systems that support the full model lifecycle, from data preparation and training to deployment and ongoing performance oversight. The role works closely with machine learning and engineering partners to improve reliability, scalability, and cost efficiency across production ML operations. Responsibilities: • Lead the design, maintenance, and enhancement of the machine learning platform that supports experimentation, training workflows, model versioning, deployment, and production observability. • Develop and operate resilient data pipelines for model training and live inference, including processes for replaying historical data, recovering from source interruptions, and handling delayed or inconsistent inputs. • Establish data handling practices that preserve time-accurate training sets so models are built on information available at the correct point in time. • Create repeatable pathways for promoting validated models into production while maintaining consistency, traceability, and operational stability. • Implement standards that make training runs reproducible, allowing teams to reliably compare results and investigate performance changes. • Track model behavior in production over time, including delayed outcome validation, and surface issues that affect model quality or business impact. • Optimize infrastructure and workflows to manage compute and data costs as usage expands across larger datasets and multiple deployed models. • Collaborate with ML engineers on model assessment, production readiness, and technical decision-making related to deployment strategies and platform improvements. • Contribute to architecture planning and recommend enhancements to the broader ML and operational ecosystem using sound engineering practices. • Support cloud-native operations using AWS, Kubernetes, Terraform, and Ansible to maintain scalable and well-managed environments.
2026-11-03T16:13:37Z

AI Engineer

La Jolla, CA
onsite
Permanent / Full Time
150000.00 - 200000.00 USD / Yearly
We are looking for an AI Engineer to create practical, employee-facing applications that improve how internal teams find information, complete work, and make decisions. This role partners closely with business stakeholders to uncover operational challenges, shape effective solutions, and deliver reliable tools from concept through production support. The ideal candidate brings strong engineering depth, sound product judgment, and hands-on experience building applied AI systems that drive measurable efficiency and adoption. Responsibilities: • Partner with business leaders and end users to map workflows, identify inefficiencies, and define high-value AI solutions for internal operations. • Design, build, and deploy AI-powered applications in Python using model APIs, orchestration frameworks, and enterprise-ready software practices. • Develop retrieval-based experiences that enable users to search, analyze, and ask questions across internal documents and structured data sources. • Create end-to-end automated processes that connect language models with business platforms, data systems, and human review checkpoints where needed. • Architect agent-driven or multi-step AI solutions with clearly defined roles, secure permissions, and dependable coordination between components. • Strengthen application quality through thoughtful testing, monitoring, documentation, deployment standards, and ongoing performance improvements. • Assess model behavior for factual quality, consistency, traceability to source material, and usefulness in real business scenarios. • Build intuitive user interfaces that allow employees to interact with AI tools easily without requiring technical expertise. • Manage post-launch ownership by resolving issues, incorporating user feedback, and delivering enhancements that improve reliability and adoption. • Present technical decisions, tradeoffs, and business impact clearly to both technical teams and non-technical stakeholders.
2026-10-18T02:48:41Z

Python Engineer

Los Angeles, CA
onsite
Permanent / Full Time
200000.00 - 300000.00 USD / Yearly
Python Engineer Company OverviewBased in Los Angeles, California, the company specializes in transforming complex, multi-source data into actionable insights through machine learning, knowledge graph technologies, and advanced analytics. This is an opportunity to work on mission-critical applications in a highly collaborative environment focused on innovation, scalability, and operational excellence. Role SummaryThe Python Engineer will play a critical role in designing, training, deploying, and optimizing machine learning models that operate on large-scale temporal, geospatial, relational, and unstructured datasets. Key Responsibilities<ul><li>Design, train, evaluate, deploy, and optimize machine learning models across multiple production use cases.</li><li>Build predictive solutions for anomaly detection, forecasting, entity resolution, relationship prediction, risk assessment, and operational decision support.</li><li>Partner with data engineering teams to develop high-quality training datasets from structured, unstructured, temporal, relational, and geospatial data sources.</li><li>Design model architectures and select appropriate algorithms based on business objectives, data characteristics, and operational requirements.</li><li>Develop and maintain machine learning pipelines spanning data preparation, feature engineering, training, evaluation, deployment, and monitoring.</li><li>Build scalable solutions that leverage graph-based and knowledge graph-driven data architectures.</li><li>Establish rigorous evaluation frameworks, baselines, performance metrics, and validation methodologies.</li><li>Design experiments that mitigate data leakage, model drift, bias, and changing data distributions.</li><li>Implement monitoring, observability, alerting, retraining, rollback, and model governance processes.</li><li>Maintain reproducible datasets, model artifacts, evaluation results, and deployment workflows.</li><li>Collaborate with distributed engineering teams to deliver reliable and scalable machine learning capabilities.</li><li>Improve model calibration, confidence scoring, uncertainty estimation, and explainability.</li><li>Contribute to technical architecture, machine learning standards, and long-term platform strategy.</li></ul>
2026-11-09T22:43:44Z

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