331 Results for Data Engineer Jobs in Norfolk, VA

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Data Engineer

Seattle, WA
remote
Temporary / Contract
70.00 - 75.00 USD / Hourly
Robert Half is seeking an Enterprise Data Modeler to support a major enterprise data initiative for a professional services organization based in Seattle, WA. This consultant will help develop a governed semantic data layer using Denodo, creating consistent business definitions and trusted data models to support reporting, analytics, and AI-assisted data access. Duration: 6 months contract to hire Location: 100% remote Schedule: Monday - Friday - CST hours Key Responsibilities<ul><li>Design and maintain conceptual, logical, and semantic data models that establish consistent business definitions and relationships across enterprise data.</li><li>Build and support Denodo base, derived, interface, and semantic views for reporting, analytics, and AI applications.</li><li>Apply enterprise data modeling standards for naming conventions, keys, relationships, reusable entities, and certified reporting views.</li><li>Reconcile conflicting data definitions, identifiers, and business rules across multiple source systems.</li><li>Define and maintain Denodo metadata, associations, descriptions, and business terminology to support reporting tools and AI-assisted querying.</li><li>Collaborate with data governance and security teams to support data classification, lineage, privacy, and access controls.</li><li>Align data models with master data management (MDM) standards, business glossaries, and data catalog tools such as Collibra.</li><li>Support AI and MCP-based use cases by defining business terminology, synonyms, sample questions, and testing criteria for data query accuracy.</li><li>Maintain documentation, including data dictionaries, entity catalogs, source-to-target mappings, lineage, and modeling standards.</li></ul>
2026-10-09T22:58:43Z

Data Engineer

St. Paul, MN
onsite
Temporary to Hire
57.00 - 66.00 USD / Hourly
We are looking for a senior Data Engineer. This position combines architectural leadership with hands-on development across a modern cloud data ecosystem, with a strong focus on building dependable, scalable, and efficient data solutions. The role will help shape engineering standards, strengthen platform governance, and support high-quality data delivery for enterprise analytics and emerging AI-driven use cases. Responsibilities:• Provide technical direction to engineering teams and guide the successful execution of complex data platform initiatives.• Create and enhance robust data pipelines and reusable data products that support scalable analytics and reporting needs.• Develop and refine cloud-based data solutions using Snowflake, dbt, Fivetran, and Azure services.• Build automation-first, metadata-driven processing frameworks to improve consistency, maintainability, and operational efficiency.• Design curated data structures using established modeling approaches such as Data Vault, Kimball, and dimensional modeling.• Improve platform performance through tuning, cost management, and scalability planning across data workloads.• Establish and reinforce best practices for data quality, governance, lineage tracking, observability, and CI/CD delivery.• Support Azure-based integration, storage, compute, and DevOps capabilities required for reliable end-to-end data operations.• Enable data foundations that can support advanced analytics, AI/ML initiatives, and modern analytical architectures.
2026-09-23T10:33:43Z

Data Engineer

Norman, OK
remote
Temporary / Contract
- USD / Hourly
We are looking for a Data Platform Engineer to join a 4-month contract opportunity based in Norman, Oklahoma. This role owns the storage, retention and pipeline-correctness workstream. This is data engineering, not cloud infrastructure. What they will actually do▪ Own the storage and pipeline backlog across the ingestion and processing repositories▪ Event ordering and bitemporal modelling: separating event time from ingestion time, deterministic replay▪ Atomic snapshot publication with schema admission and rollback▪ Design the historical layer on object storage so it can be queried economically and answer as-of questions correctly — file format, partitioning, compaction, and whether the canonical layer moves onto a managed table format▪ Reconcile the operational database and the historical store so a point-in-time question returns one answer rather than two▪ Evidence immutability and retention: object-lock semantics, preventing overwrite of stored evidence, validated recovery paths▪ Pipeline durability: idempotent runs, completeness receipts, restore testing▪ Support production cutover in month 4 — this seat does not roll off early
2026-09-29T18:43:46Z

Data Engineer

Cincinnati, OH
remote
Temporary / Contract
- USD / Hourly
We are looking for a Data Engineer to support a short-term Contract engagement focused on assessing and strengthening OpenLink security role design for a recently acquired business. This position will play a key role in reviewing current configurations, identifying gaps in segregation of duties, and helping shape a more effective access model. The role is based in Cincinnati, Ohio, with flexibility for remote or hybrid work depending on experience and project needs. Responsibilities: • Evaluate the existing OpenLink security framework and determine how well current role assignments support appropriate access controls. • Recommend and help design an improved security role structure that aligns with segregation-of-duties expectations across the environment. • Configure and refine OpenLink settings to support a secure, scalable, and well-governed access model. • Partner with project stakeholders to document findings, explain risk areas, and outline practical remediation options. • Support analysis related to the acquired company’s OpenLink setup and identify where adjustments are needed for consistency and control. • Contribute technical expertise during project discussions, providing guidance on role configuration best practices and implementation considerations. • Use data engineering tools and scripting capabilities to assist with analysis, validation, and supporting technical tasks where applicable.
2026-09-30T12:53:44Z

Data Engineer

Houston, TX
onsite
Permanent / Full Time
110000.00 - 130000.00 USD / Yearly
We are looking for a Data Engineer to join our Data & Analytics team in Houston, Texas, and help strengthen the reporting foundation that supports decisions across the business. In this role, you will shape data into reliable, business-ready models, develop scalable reporting structures, and work closely with teams such as Finance and Operations to turn complex rules into clear insights. This position blends technical data engineering with analytics-focused development, offering the opportunity to improve reporting quality, maintain dependable data flows, and contribute to ongoing enhancements in our analytics environment. Responsibilities: • Develop and maintain structured data models, including staging layers, reporting tables, and dimensional designs within the Azure-based data warehouse environment. • Create and support Power BI semantic models, calculated measures, security configurations, dashboards, and reports used for operational and enterprise reporting. • Monitor scheduled data workflows and dataset refresh activity, investigate processing issues, and resolve failures to keep reporting available and accurate. • Adjust and enhance existing ETL and orchestration processes as business needs evolve, using tools such as Azure Data Factory and related Microsoft data platforms. • Collaborate with stakeholders across functions to translate reporting needs, financial logic, and operational rules into dependable analytical solutions. • Produce clear technical and business documentation covering model design, metric definitions, transformation logic, and data ownership. • Apply and help refine development standards for naming, modeling approach, query design, and reporting structure to improve consistency and quality. • Identify opportunities to streamline current data practices, improve performance, and introduce effective tools or methods that strengthen analytics capabilities.
2026-10-05T23:18:44Z

Data Engineer

Battle Creek, MI
onsite
Permanent / Full Time
70000.00 - 110000.00 USD / Yearly
We are looking for a Data Engineer to help maintain and improve a mission-driven technology environment that supports essential nonprofit operations in Battle Creek, Michigan. This position blends application support, database engineering, and systems integration work, making it ideal for someone who enjoys solving technical problems across multiple platforms. The role works closely with internal teams and external partners to keep business systems reliable, data accurate, and reporting processes running smoothly. Responsibilities: • Maintain and resolve issues across core business applications, including Dynamics 365 Business Central, Microsoft 365, SharePoint, Power BI, procurement tools, workforce systems, and other connected platforms. • Administer Microsoft SQL Server environments by monitoring system health, tuning performance, managing security access, and overseeing backup, recovery, upgrade, and capacity planning activities. • Build, refine, and troubleshoot SQL queries to support operational needs while identifying and correcting data consistency, accuracy, and reconciliation problems between systems. • Develop and support integrations, APIs, ETL processes, Azure Data Factory workflows, scheduled data exchanges, and SFTP-based transfers to ensure dependable movement of information across platforms. • Investigate reporting and data warehouse issues by resolving failed loads, refresh interruptions, and mismatches between source systems and business intelligence outputs. • Contribute to software rollouts and system enhancements through testing, data conversion support, deployment activities, post-launch issue resolution, and production stabilization efforts. • Partner with software vendors and external service providers to diagnose complex technical challenges and drive incidents through to completion. • Create and maintain clear technical documentation for applications, databases, integrations, and data flows while sharing knowledge with teammates to strengthen team coverage. • Support both strategic engineering work and day-to-day technical tasks within a collaborative IT team, adapting to changing priorities as needed.
2026-09-28T14:04:47Z

Data Engineer - Python/Snowflake

Houston, TX
onsite
Permanent / Full Time
110000.00 - 160000.00 USD / Yearly
Join a growing data engineering team supporting mission-critical analytics and business operations within the energy, commodities trading, oil & gas, or financial services sector. This role is focused on designing and supporting cloud-based data solutions using Python, Snowflake, and AWS, enabling scalable, reliable, and high-performance data platforms.You will work closely with business stakeholders, analysts, and engineering teams to build production-grade data pipelines, modernize legacy data environments, and deliver trusted datasets that support operational and strategic decision-making. Responsibilities<ul><li>Design, develop, and maintain scalable Python-based data pipelines that ingest, transform, and deliver data from internal and external sources.</li><li>Build and optimize data models within Snowflake, ensuring performance, scalability, and cost efficiency.</li><li>Develop ELT/ETL solutions leveraging cloud-native AWS services.</li><li>Create, monitor, and support batch and near real-time data integration workflows.</li><li>Work with structured, semi-structured, and time-series datasets from operational, trading, financial, and market data systems.</li><li>Modernize legacy data processes and migrate legacy database workloads into modern cloud architectures.</li><li>Implement data quality, reconciliation, monitoring, and alerting capabilities across the data platform.</li><li>Collaborate with analysts, traders, business users, and technology teams to deliver data solutions aligned with business objectives.</li><li>Participate in code reviews, testing, documentation, and deployment activities following engineering best practices.</li><li>Support production environments and troubleshoot data pipeline issues as needed.</li></ul>
2026-10-05T23:13:44Z

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.
2026-09-23T15:53:48Z

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

Principal Data Engineer

Des Moines, IA
remote
Permanent / Full Time
180000.00 - 225000.00 USD / Yearly
Position: Principal Data Engineer | Direct Hire Permanent Location: Remote Salary: $180,000 - $225,000 base plus SIGNIFICANT bonus and or equity potential *** For immediate and confidential consideration, please send a message to MEREDITH CARLE on LinkedIn or send an email to me with your resume. My email can be found on my LinkedIn page. *** Build the data foundation that powers analytics, AI, and enterprise decision-making. We’re hiring a Principal Data Engineer to design and deliver a modern, scalable data platform from the ground up. This is a high-impact, hands-on role where you’ll lead architecture decisions, build production-grade pipelines, and enable secure, multi-tenant data capabilities that support everything from reporting to advanced AI use cases. What You’ll Own • Design and build a modern data platform across ingestion, transformation, storage, and consumption • Develop scalable batch and real-time pipelines across diverse data sources (relational, event, document) • Establish data architecture standards, modeling practices, and engineering frameworks • Create secure, multi-tenant data environments with strong governance and access controls • Build data models and serving layers for reporting, self-service analytics, and AI workloads • Evaluate and implement cloud data technologies for performance, cost, and scalability • Partner with engineering and business leaders to align data strategy with company priorities • Guide vendors and external partners while enforcing internal data standards and quality What You Bring • 10+ years of experience in data engineering, including large-scale architecture ownership • Strong programming skills in Python and experience with tools like Spark, Kafka, or similar • Expertise building batch and streaming pipelines in cloud environments (AWS preferred) • Deep knowledge of data modeling for both transactional and analytical systems • Hands-on experience with Snowflake, Redshift, or modern data platforms • Strong understanding of data governance, privacy, and secure data design • Experience with ETL frameworks, testing, and CI/CD-driven data workflows • Ability to clearly communicate technical strategy and tradeoffs to senior stakeholders Why This Role • Architect and build a next-generation data platform from foundational level • Direct impact on analytics, product insights, and AI capabilities • High ownership, visibility, and influence across engineering and leadership • Opportunity to define standards, tooling, and long-term data strategy If you’re a hands-on data engineer who enjoys building scalable platforms and shaping how data is leveraged across an organization, this is a high-impact opportunity to lead from the front. *** For immediate and confidential consideration, please send a message to MEREDITH CARLE on LinkedIn or send an email to me with your resume. My email can be found on my LinkedIn page. Also, you may contact me by office: 515-303-4654 or mobile: 515-771-8142. Or one click apply on our Robert Half website. No third party inquiries please. Our client cannot provide sponsorship and cannot hire C2C. ***
2026-09-23T20:08:45Z

Data Engineer

Jacksonville, FL
onsite
Temporary / Contract
- USD / Hourly
We are seeking a Data Engineer to develop and maintain scalable data pipelines and cloud-based data platforms. This role will work closely with analytics and business teams to deliver reliable, high-quality data solutions.Responsibilities<ul><li>Build and maintain ETL/ELT processes.</li><li>Develop data pipelines for structured and unstructured data.</li><li>Support enterprise data warehouse solutions.</li><li>Optimize data models and database performance.</li><li>Implement data quality and governance standards.</li><li>Collaborate with business intelligence teams.</li></ul>
2026-10-09T10:53:44Z

Principal Data Engineer

Des Moines, IA
remote
Permanent / Full Time
225000.00 - 300000.00 USD / Yearly
Position: Principal Data Engineer | Direct Hire Permanent Location: Remote Salary: $225,000 - 300,000 base plus bonus potential *** For immediate and confidential consideration, please send a message to MEREDITH CARLE on LinkedIn or send an email to me with your resume. My email can be found on my LinkedIn page. *** Build the data foundation that powers analytics, AI, and enterprise decision-making. We’re hiring a Principal Data Engineer to design and deliver a modern, scalable data platform from the ground up. This is a high-impact, hands-on role where you’ll lead architecture decisions, build production-grade pipelines, and enable secure, multi-tenant data capabilities that support everything from reporting to advanced AI use cases. What You’ll Own • Design and build a modern data platform across ingestion, transformation, storage, and consumption • Develop scalable batch and real-time pipelines across diverse data sources (relational, event, document) • Establish data architecture standards, modeling practices, and engineering frameworks • Create secure, multi-tenant data environments with strong governance and access controls • Build data models and serving layers for reporting, self-service analytics, and AI workloads • Evaluate and implement cloud data technologies for performance, cost, and scalability • Partner with engineering and business leaders to align data strategy with company priorities • Guide vendors and external partners while enforcing internal data standards and quality What You Bring • 10+ years of experience in data engineering, including large-scale architecture ownership • Strong programming skills in Python and experience with tools like Spark, Kafka, or similar • Expertise building batch and streaming pipelines in cloud environments (AWS preferred) • Deep knowledge of data modeling for both transactional and analytical systems • Hands-on experience with Snowflake, Redshift, or modern data platforms • Strong understanding of data governance, privacy, and secure data design • Experience with ETL frameworks, testing, and CI/CD-driven data workflows • Ability to clearly communicate technical strategy and tradeoffs to senior stakeholders Why This Role • Architect and build a next-generation data platform from foundational level • Direct impact on analytics, product insights, and AI capabilities • High ownership, visibility, and influence across engineering and leadership • Opportunity to define standards, tooling, and long-term data strategy If you’re a hands-on data engineer who enjoys building scalable platforms and shaping how data is leveraged across an organization, this is a high-impact opportunity to lead from the front.
2026-09-23T20:18:47Z

Data Engineer

Atlanta, GA
remote
Permanent / Full Time
100000.00 - 120000.00 USD / Yearly
Robert Half is working with a client in the metro-Atlanta area seeking a Data Engineer.<ul><li>Develop ETL/ELT pipelines</li><li>Integrate multiple data sources</li><li>Optimize performance</li><li>Build data models</li><li>Manage cloud environments</li><li>Support analytics teams</li></ul>
2026-10-02T13:48:45Z

Data Engineer

Seattle, WA
remote
Temporary / Contract
70.00 - 75.00 USD / Hourly
Robert Half is seeking an experienced Data Visualization Engineer with strong Denodo expertise to support a law firm and its growing data and analytics initiatives. This role will focus on building and optimizing data services, integrating information from multiple enterprise platforms, and creating the interface layer that enables meaningful visualization and reporting across the firm. A key area of focus will be supporting analytics related to AI tool adoption and usage, helping business and technology leaders gain visibility into how AI technologies are being utilized across legal and operational teams. Responsibilities:<ul><li>Design, develop, and maintain data views and data services within the Denodo platform.</li><li>Connect and integrate data from multiple enterprise systems, including ERP, CRM, HRIS, and other business applications.</li><li>Build and manage base views, derived views, and interface views.</li><li>Create and maintain data virtualization solutions that support reporting and visualization initiatives.</li><li>Develop and troubleshoot API integrations, including authentication methods such as OAuth and Basic Authentication.</li><li>Validate and test integrations using Postman, Swagger, and related tools.</li><li>Investigate and resolve data connectivity and API-related issues.</li><li>Partner with business leaders and end users to understand reporting requirements and deliver scalable data solutions.</li><li>Support visualization and analytics efforts related to AI tool usage, adoption metrics, and operational reporting.</li></ul>
2026-10-08T17:18:45Z

Data Architect

Glendale, AZ
remote
Temporary / Contract
100.00 - 105.00 USD / Hourly
Robert Half is working with a client who is looking to hire a Data Architect to help define the architecture and technical direction of a major enterprise data modernization initiative.This individual will be responsible for designing scalable data platforms, establishing enterprise data standards, and providing architectural guidance across engineering, analytics, reporting, and AI initiatives.Responsibilities<ul><li>Design enterprise data architecture across cloud and on-premise environments.</li><li>Define architectural standards for data ingestion, storage, transformation, governance, and consumption.</li><li>Develop conceptual, logical, and physical data models.</li><li>Provide technical direction to Data Engineers and Analytics teams.</li><li>Evaluate technologies and recommend appropriate data platform solutions.</li><li>Design integrations across ERP, CRM, operational, and third-party systems.</li><li>Partner with security and governance teams to establish data controls.</li><li>Support cloud migration and data platform modernization projects.</li><li>Create architecture diagrams, roadmaps, and technical documentation.</li></ul>
2026-10-06T17:48:42Z

AI Engineer

Memphis, TN
onsite
Permanent / Full Time
125000.00 - 150000.00 USD / Yearly
<ul><li>Design, develop, test, and deploy AI-powered applications and services.</li><li>Build and optimize LLM and generative AI solutions using Azure OpenAI and related platforms.</li><li>Develop RAG architectures that connect LLMs to enterprise documents, databases, APIs, and other data sources.</li><li>Design and implement vector search, embeddings, semantic search, and knowledge retrieval capabilities.</li><li>Develop AI workflows using frameworks such as Semantic Kernel, LangChain, LangGraph, or Microsoft Copilot Studio.</li><li>Integrate AI solutions with existing enterprise applications, APIs, databases, and data platforms.</li><li>Develop production-quality services using Python and/or .NET/C#.</li><li>Work with Azure services including Azure OpenAI, Azure AI Foundry, Azure AI Search, Azure Functions, Azure Storage, and related cloud services.</li><li>Build data pipelines and preprocessing workflows to prepare enterprise information for AI applications.</li><li>Evaluate LLM performance, accuracy, relevance, latency, and cost.</li><li>Implement techniques such as prompt engineering, grounding, retrieval optimization, evaluation, and guardrails.</li><li>Partner with data engineers, software engineers, architects, and business stakeholders to move AI initiatives from proof-of-concept to production.</li><li>Establish appropriate practices for security, responsible AI, data privacy, and governance.</li><li>Troubleshoot and optimize AI applications in production environments.</li><li>Stay current with emerging AI technologies, models, frameworks, and development practices.</li></ul>
2026-10-06T19:23:47Z

Data Architect (GCP)

Appleton, WI
onsite
Permanent / Full Time
140000.00 - 170000.00 USD / Yearly
Robert Half is seeking a Data Architect for our partner in the Appleton area to help accelerate the development of their modern data platform. This is an opportunity to join a growing data organization that is transitioning to a cloud-based architecture centered around Google Cloud Platform and BigQuery. The Data Architect will work closely with a team of Data Engineers, Data Analysts, and Data Scientists to establish the technical vision, architecture, and standards for the organization’s modern data environment. This person will provide hands-on technical leadership to the engineering team while helping move the platform from its current development stage into a scalable, production-ready environment. What You’ll Do<ul><li>Define and implement the architecture for a modern cloud data lakehouse using GCP, BigQuery, and related technologies.</li><li>Partner closely with Data Engineers to translate architectural strategy into scalable, production-ready solutions.</li><li>Establish standards and best practices for data ingestion, transformation, storage, orchestration, security, governance, and performance.</li><li>Help accelerate the development and deployment of the organization’s GCP data platform.</li><li>Evaluate existing architecture and recommend improvements to increase scalability, reliability, performance, and development velocity.</li><li>Provide technical leadership, mentorship, and architectural guidance to a team of Data Engineers.</li><li>Work with Data Analysts and Data Scientists to ensure the data platform effectively supports analytics, reporting, machine learning, and AI initiatives.</li><li>Collaborate with Project Managers, Business Analysts, and business stakeholders to translate requirements into effective technical solutions.</li><li>Stay current with emerging data and AI technologies and identify opportunities to incorporate AI into engineering processes and business solutions.</li><li>Remain hands-on with technology, including troubleshooting complex technical challenges and demonstrating solutions for the engineering team.</li></ul>
2026-10-01T13:58:42Z

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>
2026-10-09T07:04:06Z

Capacity Operations Engineer III

Philadelphia, PA
onsite
Temporary / Contract
45.00 - 50.00 USD / Hourly
Capacity Analytics/Data EngineerLong-term contract through 2027Hybrid in Philadelphia, PA (2-4 days onsite) This opportunity is for a Data Engineer/Capacity Analytics professional supporting private cloud infrastructure capacity planning and optimization. The role focuses on analyzing infrastructure demand, utilization, and capacity trends while developing forecasting models, reporting solutions, and automation capabilities. The environment supports technologies including VMware, OpenStack, Kubernetes, Docker, and storage platforms, with a strong emphasis on cost optimization, efficiency, and data-driven decision-making within a small, collaborative engineering team. Responsibilities:<ul><li>Analyze infrastructure demand, utilization, and capacity data across private cloud environments.</li><li>Build, maintain, and automate forecasting models to support capacity planning and resource optimization.</li><li>Develop reporting, dashboards, and data visualizations to drive operational and strategic decisions.</li><li>Monitor compute and storage utilization and proactively identify capacity risks and issues.</li><li>Support the full lifecycle of capacity management, including planning, purchasing, deployment, and decommissioning activities.</li><li>Identify opportunities to reduce waste, improve utilization, and optimize infrastructure costs.</li><li>Work with large datasets to generate actionable insights and improve forecasting accuracy.</li><li>Collaborate with engineering and architecture teams to support infrastructure planning initiatives.</li><li>Drive automation and process efficiency improvements across capacity analytics and reporting functions</li></ul>
2026-10-02T16:08:46Z

Data Engineer/Modeler

West Des Moines, IA
onsite
Temporary / Contract
- USD / Hourly
We are looking for a Data Engineer/Modeler to join a long-term contract opportunity in West Des Moines, Iowa. This position focuses on shaping enterprise semantic models and ontology frameworks that make business information consistent, governed, and usable across analytics, reporting, AI, and advanced data initiatives. The ideal candidate will combine strong data modeling expertise with hands-on semantic and knowledge graph experience, along with a solid understanding of insurance data domains. Working closely with technical teams and business partners, this role will help create a trusted data foundation that supports enterprise decision-making. Responsibilities: • Build and enhance enterprise ontologies, semantic structures, taxonomies, and knowledge graph models to represent core business concepts in a machine-readable format. • Define entities, attributes, hierarchies, relationships, business rules, and performance metrics across multiple data domains to support a consistent semantic layer. • Develop models for insurance-focused subject areas such as policy, claims, underwriting, customer, product, sales, and producer or agency data. • Translate logic captured in reports, dashboards, operational workflows, stored procedures, and stakeholder knowledge into governed semantic and data models. • Apply both business-led and source-system-driven modeling approaches to align conceptual designs with underlying data structures. • Assess and improve AI-assisted ontology outputs to ensure semantic accuracy, usability, and alignment with enterprise standards. • Connect ontology concepts to physical source systems and confirm model integrity against trusted systems of record. • Manage model promotion and version control across development, testing, and production environments using Git and established release practices. • Partner with architects, engineers, BI teams, analysts, and business stakeholders to deliver scalable semantic solutions and support governance, lineage, metadata, and data quality efforts.
2026-09-18T13:58:42Z

Sr. Software Engineer

New York, NY
remote
Permanent / Full Time
180000.00 - 200000.00 USD / Yearly
Robert Half is hiring! We are looking for a Senior Software Engineer to build and evolve data-driven platforms that turn complex information into reliable, usable products. In this role, you will create resilient systems that process diverse data sources, support application experiences, and improve how information is stored, accessed, and delivered. You will work closely with teammates to shape engineering practices, solve production issues, and deliver iterative improvements that keep customer value at the center of development. Responsibilities:• Architect and develop scalable pipelines that collect, normalize, and transform structured and unstructured data from varied sources into formats ready for analytics and AI use cases.• Build production-ready services with strong observability, dependable error handling, and ongoing performance tuning to support reliability at scale.• Improve database and search-layer design across relational and document-oriented systems to balance speed, efficiency, and operating cost.• Develop APIs and data access components that connect core data platforms with downstream application functionality in a clean and maintainable way.• Lead feature development across the full lifecycle, from initial ingestion and backend processing through delivery of end-user capabilities.• Investigate operational alerts, trace issues to underlying causes, and implement corrective actions that prevent repeat incidents.• Partner with engineering leadership and cross-functional teammates to define sound data engineering standards, maintain useful technical documentation, and promote knowledge sharing.• Make pragmatic engineering decisions by prioritizing customer outcomes and adjusting approach when added complexity does not create meaningful value.• Deliver enhancements in incremental releases, using continuous iteration to steadily strengthen product quality and impact.
2026-10-01T12:04:30Z

AWS Data Engineer

Dallas, TX
onsite
Permanent / Full Time
105000.00 - 120000.00 USD / Yearly
Seeking a hands-on Data Platform Engineer to build and operate the AWS infrastructure supporting an enterprise analytics environment. This is an engineering-focused position centered on building pipelines, orchestration, and cloud infrastructure, not dashboards or business analysis. What You'll Do<ul><li>Build and maintain an AWS-based data platform and Amazon Redshift environment.</li><li>Code and build data pipelines using Python, dbt, and AWS Lambda.</li><li>Work across AWS services including S3, Glue, Step Functions, IAM, and CloudWatch.</li><li>Develop ETL/ELT processes and data transformation workflows.</li><li>Monitor pipeline health and troubleshoot failures, latency, and infrastructure issues.</li><li>Build for reliability, scalability, security, and cloud cost efficiency.</li><li>Support data ingestion into the warehouse environment.</li><li>Maintain data-flow documentation and operational runbooks.</li><li>Translate analytics requirements into technical pipeline and infrastructure solutions.</li><li>Recommend automation and architectural improvements as the platform grows.</li></ul>
2026-09-13T08:10:19Z

Epic Data Engineer

Milwaukee, WI
onsite
Permanent / Full Time
75000.00 - 90000.00 USD / Yearly
We are looking for a Data Analyst to turn complex healthcare, financial, and operational data into meaningful insights that guide leadership decisions. This position supports organizational performance by connecting information from clinical and business systems, building practical reporting tools, and highlighting trends that matter. Based in Milwaukee, Wisconsin, the role works closely with finance, operations, and clinical stakeholders to improve visibility, planning, and overall effectiveness. Local candidates to the Greater Milwaukee area with Healthcare Epic experience is desired. Responsibilities:• Create and maintain dashboards, scorecards, and recurring reports that combine Epic data with financial and operational information from connected platforms.• Work with leaders across finance, operations, and clinical teams to define measurable indicators and track performance in patient services, revenue activity, and resource use.• Gather, clean, and evaluate large datasets to support forecasting, monthly business reviews, and long-range planning initiatives.• Present findings in a clear, business-focused format so non-technical stakeholders can understand trends, risks, and opportunities.• Collaborate with IT and data governance partners to uphold data accuracy, reporting consistency, and compliance with organizational standards.• Identify patterns in clinical and administrative workflows and recommend improvements that increase efficiency and support better decision-making.• Contribute to reporting automation and process enhancements that improve speed, reliability, and access to timely performance data.
2026-09-28T19:53:45Z

Application Development Analyst IV (Contractor)

Philadelphia, PA
remote
Temporary / Contract
47.00 - 52.00 USD / Hourly
SQL - Application Development Analyst IV (Contract)Contract - Potential for Extension or ConversionLocation: Philadelphia, PA (Remote EST)Pay: Available on W2OverviewWe are seeking a SQL Application Analyst to support and enhance a large-scale real-time reporting platform used by thousands of business users. This role blends data engineering, application support, and stakeholder engagement, making it ideal for someone who enjoys solving complex data challenges while serving as a technical owner for a critical business application.The successful candidate will have strong SQL expertise, experience troubleshooting production systems, and the ability to work across technical and business teams to ensure data integrity, platform reliability, and continuous improvement.Key Responsibilities<ul><li>Serve as the primary technical owner for a business-critical real-time reporting application.</li><li>Investigate and resolve production issues, support requests, and data-related incidents.</li><li>Perform data validation, analysis, and troubleshooting across multiple systems and environments.</li><li>Trace data flows from source systems through reporting platforms and downstream applications.</li><li>Collaborate with business stakeholders to understand reporting requirements and implement requested enhancements.</li><li>Review and manage application access requests and access audits.</li><li>Support onboarding and integration of new data sources into the reporting environment.</li><li>Coordinate and communicate application changes, issue resolution, and project updates to internal stakeholders.</li><li>Partner with technical teams and external support vendors to maintain platform stability and performance.</li><li>Identify opportunities for process improvements and enhancements to data quality and reporting capabilities.</li></ul>
2026-09-25T16:53:45Z

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331 results for Data Engineer in Norfolk, VA