221 Results for Principal Data Engineer Jobs in Html

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Data Engineer - Lead

Houston, TX
onsite
Permanent / Full Time
175000.00 - 225000.00 USD / Yearly
We are looking for an experienced Lead Data Engineer to oversee the design, implementation, and management of advanced data infrastructure in Houston, Texas. This role requires expertise in architecting scalable solutions, optimizing data pipelines, and ensuring data quality to support analytics, machine learning, and real-time processing. The ideal candidate will have a deep understanding of Lakehouse architecture and Medallion design principles to deliver robust and governed data solutions. Responsibilities: • Develop and implement scalable data pipelines to ingest, process, and store large datasets using tools such as Apache Spark, Hadoop, and Kafka. • Utilize cloud platforms like AWS or Azure to manage data storage and processing, leveraging services such as S3, Lambda, and Azure Data Lake. • Design and operationalize data architecture following Medallion patterns to ensure data usability and quality across Bronze, Silver, and Gold layers. • Build and optimize data models and storage solutions, including Databricks Lakehouses, to support analytical and operational needs. • Automate data workflows using tools like Apache Airflow and Fivetran to streamline integration and improve efficiency. • Lead initiatives to establish best practices in data management, facilitating knowledge sharing and collaboration across technical and business teams. • Collaborate with data scientists to provide infrastructure and tools for complex analytical models, using programming languages like Python or R. • Implement and enforce data governance policies, including encryption, masking, and access controls, within cloud environments. • Monitor and troubleshoot data pipelines for performance issues, applying tuning techniques to enhance throughput and reliability. • Stay updated with emerging technologies in data engineering and advocate for improvements to the organization's data systems.
2026-10-05T23:13:44Z

Data Engineer

Philadelphia, PA
remote
Temporary / Contract
- USD / Hourly
We are looking for a Data Engineer to join a Contract engagement supporting people analytics and HR-focused data initiatives in Philadelphia, Pennsylvania. This role is centered on designing, building, and refining scalable data pipelines and curated data assets using Azure Databricks and Azure Data Factory. The ideal candidate will be comfortable working hands-on with complex source data, translating business needs into reliable transformations, and delivering production-ready solutions with minimal oversight. Responsibilities: • Design, build, and maintain robust ETL and ELT workflows that support HR and workforce data products. • Develop scalable data transformations using Python, SQL, Spark, and Azure Databricks to prepare high-quality datasets for downstream use. • Orchestrate and monitor pipeline execution through Azure Data Factory to ensure dependable and timely data delivery. • Analyze existing source systems and data structures to map requirements and create efficient ingestion and transformation logic. • Partner with stakeholders across HR and analytics teams to turn business questions into practical engineering solutions. • Improve data quality, performance, and reliability by applying modern engineering standards, testing practices, and documentation. • Support integrations across HRIS and related platforms, including contributing to interface development where needed. • Create production-ready datasets that enable reporting, workforce analysis, and broader people data initiatives.
2026-10-15T15:33:45Z

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

Data Engineer

Santa Monica, CA
onsite
Temporary / Contract
55.41 - 64.16 USD / Hourly
We are looking for a Data Engineer to join a team in Santa Monica, California on a Long-term Contract assignment. This position focuses on building dependable data solutions that connect multiple sources, support reporting needs, and improve access to trusted business information. The role offers a blend of pipeline development, dashboard ownership, data quality work, and cross-functional collaboration with partner teams. Responsibilities: • Design, validate, and release data pipelines that bring together information from varied source systems within an existing ingestion environment. • Create and support connections to external platforms, APIs, and vendor tools so data remains current, consistent, and available for analysis. • Oversee daily pipeline health, investigate processing issues, and partner with senior engineers to address failures and improve reliability. • Develop and maintain roughly 10 business intelligence dashboards used by 2 to 3 stakeholder groups, keeping reporting useful and aligned with team needs. • Improve dashboard quality by reviewing accuracy, optimizing performance, enhancing usability, and retiring reports that no longer provide value. • Write and maintain data validation checks, including tests at the source level to strengthen data quality and reduce downstream issues. • Support data modeling and transformation efforts using dbt to prepare clean, well-structured datasets for analytics and reporting. • Handle ad hoc data requests submitted through an intake process, providing timely answers to business questions with clear supporting analysis. • Produce and update documentation for pipelines, reporting assets, and operational workflows to promote maintainability and knowledge sharing. • Take part in peer code review by submitting thoughtful feedback and incorporating suggestions to maintain strong engineering standards.
2026-10-08T22:48:44Z

Data Engineer

Plano, TX
onsite
Temporary to Hire
60.00 - 70.00 USD / Hourly
We are looking for a Data Engineer to join a Financial Services team in Plano, Texas on a contract basis with the potential for a permanent role. This role is focused on designing and delivering reliable data pipelines in a cloud-first environment, with Snowflake serving as a central platform for analytics and data consumption. The position offers a balanced mix of new development and targeted optimization, with an emphasis on improving data quality, operational visibility, and scalable processing capabilities. Responsibilities: • Design, build, and deploy end-to-end data pipelines with Snowflake as a primary data platform. • Create new ingestion and transformation workflows while resolving issues affecting existing pipeline performance and reliability. • Support streaming data integration using Apache Kafka to enable timely and scalable data movement. • Strengthen observability across data workflows by improving monitoring, alerting, and pipeline transparency. • Enhance data quality practices through validation, testing, and proactive issue identification. • Modernize data architecture by reducing dependency on legacy processes and addressing technical debt. • Contribute to engineering standards by applying disciplined development practices, code quality measures, and repeatable delivery methods. • Help expand CI/CD and testing capabilities by promoting more consistent automation across build and release activities. • Use AI-assisted development tools to accelerate coding, testing, and documentation where appropriate.
2026-09-28T16:04:30Z

Data Engineer

Conshohocken, PA
remote
Permanent / Full Time
100000.00 - 150000.00 USD / Yearly
We are looking for a Data Engineer to join a growing team in Conshohocken, Pennsylvania within the financial services industry. In this role, you will build and enhance modern data pipelines and warehouse structures that support reporting, analytics, and business decision-making. You will partner with technical and business teams to deliver reliable, well-governed data solutions using Python, Azure Synapse Analytics, and related cloud technologies. Responsibilities: • Build and support scalable data pipelines using Python, including PySpark, within Azure Synapse Analytics notebooks and pipeline workflows. • Design, load, and maintain warehouse structures in a massively parallel processing environment, applying dimensional modeling concepts such as facts and dimensions. • Ingest and transform data from a range of sources, including APIs, databases, and flat files, to create dependable datasets for downstream use. • Improve the efficiency and reliability of Azure Synapse processes by tuning queries, refining workloads, and addressing performance constraints. • Partner with data architects, analysts, and other stakeholders to translate business needs into practical data models and engineering solutions. • Establish validation routines and data quality controls to promote completeness, consistency, and accuracy across datasets. • Monitor scheduled jobs and pipeline activity, troubleshoot failures, and implement corrective actions to maintain service levels. • Document data flows, transformation logic, technical configurations, and operating procedures to support maintainability and knowledge sharing. • Apply security, privacy, and governance standards to data solutions while supporting broader data platform initiatives such as lakes, lakehouses, and cataloging practices.
2026-10-08T15:53:43Z

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

Cincinnati, OH
onsite
Temporary / Contract
- USD / Hourly
We are looking for a Data Engineer to support scalable data solutions for a Long-term Contract position based in Cincinnati, Ohio. This role focuses on building reliable data pipelines, optimizing data movement across platforms, and enabling efficient access to high-quality datasets for business and technical teams. The ideal candidate brings strong hands-on experience with modern big data tools and a practical approach to designing robust ETL workflows. Responsibilities: • Design and maintain end-to-end data pipelines that process large and complex datasets with a focus on performance and reliability. • Develop ETL workflows using Python and Spark to transform raw data into structured, usable formats for downstream consumption. • Work with Hadoop-based environments to manage distributed data processing and storage activities at scale. • Integrate streaming and messaging components such as Kafka to support near real-time data ingestion and event-driven processing. • Monitor pipeline health, troubleshoot data issues, and implement improvements that strengthen stability and data quality. • Collaborate with analysts, developers, and other stakeholders to understand data needs and translate them into technical solutions. • Improve existing data architecture by refining workflows, reducing processing bottlenecks, and increasing operational efficiency.
2026-10-14T12:53:44Z

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

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

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

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

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

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 Software Engineer

Knoxville, TN
remote
Permanent / Full Time
- USD / Yearly
Robert Half is hiring! We are looking for a Principal Software Engineer to lead the design and delivery of modern AI-driven software solutions. This role combines hands-on engineering with technical leadership across backend services, frontend applications, and intelligent workflow development. The ideal candidate brings deep full-stack expertise, a strong product mindset, and the ability to guide scalable systems from concept through production. Responsibilities:• Lead complete product delivery efforts, from technical planning and architecture through implementation, testing, and long-term support.• Create and refine agentic AI workflows that support business goals and integrate effectively with broader application ecosystems.• Build, enhance, and support scalable server-side applications using Python frameworks such as Django, Flask, or FastAPI, or Node.js frameworks including Express or NestJS.• Develop robust RESTful and GraphQL interfaces that enable reliable communication between platforms, services, and user-facing applications.• Implement and improve React-based frontend features with a focus on usability, responsiveness, and smooth integration with backend systems.• Architect and maintain microservices and distributed application components to support performance, resilience, and future growth.• Improve system efficiency by tuning application behavior, streamlining database interactions, and optimizing cloud infrastructure usage.• Apply strong security standards by implementing access controls, authentication mechanisms, and authorization practices across the platform.• Oversee automated delivery processes and container-based deployments using CI/CD pipelines, Docker, and related engineering tools.• Partner with product, design, and DevOps teams to resolve production issues, maintain cloud-based services, and deliver high-quality software outcomes.
2026-09-28T19:14:09Z

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 Warehouse Engineer

Jacksonville, FL
onsite
Temporary / Contract
- USD / Hourly
Our client is seeking a Data Warehouse Engineer to support the design, development, and optimization of modern enterprise data platforms. This position will play a key role in building scalable data solutions for reporting, analytics, and business intelligence initiatives.Responsibilities<ul><li>Design and develop ETL/ELT pipelines</li><li>Build and maintain enterprise data warehouses and data marts</li><li>Optimize SQL queries and data models for performance</li><li>Work with business stakeholders to deliver reporting solutions</li><li>Support Power BI, Tableau, or similar analytics platforms</li><li>Ensure data quality, integrity, and governance standards</li></ul>
2026-10-22T21:04:19Z

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

Milwaukee, WI
onsite
Permanent / Full Time
75000.00 - 90000.00 USD / Yearly
We are looking for a Data Engineer 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.
2026-10-20T19:23:50Z

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

Database Engineer (VB6 / MS Access)

West Nyack, NY
onsite
Permanent / Full Time
115000.00 - 130000.00 USD / Yearly
We are a market-leading U.S. consumer packaged goods (CPG) food manufacturer specializing in top-selling, allergy-friendly, and plant-based baked goods. Founded with a mission to create safe, delicious products for individuals with severe food allergies, our products are distributed to major retail and distribution partners nationwide.Position OverviewWe are seeking a highly motivated, in-house ERP & Database Engineer to take full ownership of our business data systems—assessing, updating, and optimizing our technical infrastructure.We currently operate on an on-premise manufacturing ERP running on a Firebird 3.0 database (approx. 14 GB across 250+ tables). Internal reporting is driven by a legacy dashboard built in Visual Basic 6.0 (VB6), Microsoft Access, and ODBC connections. The ideal candidate will quickly master our existing legacy environment, document data flows, recommend a modernized path forward, and lead the technical execution. Key Responsibilities Phase 1: Assessment & Strategy<ul><li>System Mapping: Map data flows between the core ERP, Firebird database, legacy VB6/Access dashboard, and EDI invoicing infrastructure.</li><li>Database Audit: Identify custom tables/queries, resolve duplicate or inconsistent records, repair missing keys, and extract business logic embedded in legacy reports or spreadsheets.</li><li>System Health Check: Review database maintenance, automated backups, file growth trends, and database version status.</li><li>Knowledge Capture: Interview key internal stakeholders across Engineering, Accounting, Sales, and Production to document legacy logic and operational workflows.</li><li>Strategic Recommendation: Present a comprehensive plan (including cost, timeline, and risk analysis) choosing one of the following paths:</li></ul><ol><li>Maintain the current ERP, clean core data, and replace the legacy dashboard.</li><li>Maintain the current ERP and build a separate, well-modeled reporting database to power dashboards.</li><li>Replace the legacy ERP with a new enterprise system and execute the data migration.</li></ol>Phase 2: Remediation & Execution<ul><li>Lead the selected technical roadmap from design and architecture through system cutover.</li><li>Establish automated database maintenance, tested backup procedures, monitoring, and upgrade schedules.</li><li>Retire the legacy VB6/Access dashboard in collaboration with our internal Systems Analyst (currently developing a modern Python replacement).</li><li>Maintain comprehensive documentation and train internal team members to ensure long-term system maintainability and continuity.</li></ul>
2026-10-22T16:23:44Z

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

Principal Software Engineer

Edison, NJ
remote
Temporary to Hire
87.09 - 100.84 USD / Hourly
We are looking for a Principal Software Engineer to join our team in Edison, New Jersey. In this role, you will be responsible for shaping the technical direction of our connected equipment platform while delivering high-quality software solutions. This Contract to permanent position offers the opportunity to lead impactful projects, collaborate with cross-functional teams, and contribute to the modernization of our systems. If you're passionate about scalable systems, enjoy mentoring others, and thrive in a fast-paced environment, this could be the perfect opportunity for you. Responsibilities: • Provide technical leadership and mentorship to software engineers, fostering collaboration and a culture of excellence. • Develop and implement innovative solutions for complex engineering challenges to enhance system performance. • Build robust mobile, front-end, and back-end software components for our connected equipment platform. • Write clean, efficient, and scalable code, ensuring reliability and optimal performance. • Drive the transition from monolithic systems to scalable microservices architectures, modernizing the platform. • Lead efforts in system architecture design, database development, and strategic technical decisions. • Collaborate with Product Managers to define and prioritize features, ensuring alignment with business goals. • Work closely with senior leadership to address critical business needs through technology. • Partner with QA engineers to deliver thoroughly tested and user-focused software solutions. • Stay up-to-date with emerging technologies, recommending tools and frameworks to improve productivity.
2026-09-25T15:04:05Z

Database Engineer

Westlake, OH
onsite
Permanent / Full Time
70000.00 - 155000.00 USD / Yearly
We are looking for a skilled Database Engineer to join our team in Westlake, Ohio. In this role, you will design, implement, and optimize database solutions to support business operations and data-driven decision-making. You will collaborate with cross-functional teams and leverage advanced technologies to ensure robust database performance and scalability. Responsibilities: • Design and implement database solutions that align with business requirements and technical specifications. • Optimize and tune database performance to ensure efficiency and scalability. • Collaborate with cross-functional teams to analyze data needs and develop appropriate solutions. • Write, test, and troubleshoot complex SQL queries, including joins, aggregations, and stored procedures. • Monitor and maintain database systems, performing regular updates and performance checks. • Utilize source control and CI/CD tools, such as Azure DevOps, to manage database development and deployment. • Stay updated on emerging technologies and integrate new tools into existing systems as needed. • Provide technical guidance and support to team members regarding database-related issues. • Ensure data integrity and security through regular audits and implementation of best practices.
2026-10-01T14:03:49Z

Principal Platform Engineer

Des Moines, IA
remote
Permanent / Full Time
250000.00 - 300000.00 USD / Yearly
Principal Platform Engineer | Direct Hire Permanent Location: Remote Salary: $250,000-$300,000 Base + 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 Engineering Platform That Powers Scale, Security, and AI Innovation We are seeking a Principal Platform Engineer to lead the architecture, automation, and standardization of a modern cloud platform supporting enterprise-scale software delivery, cloud operations, and emerging AI capabilities. This is a newly created, high-impact leadership role for a hands-on platform engineering expert who thrives at the intersection of cloud architecture, DevSecOps, developer experience, automation, and reliability engineering. You'll help define how engineering teams build, deploy, secure, and operate software across the organization. What You'll Own • Define and execute a platform engineering strategy that improves developer productivity, consistency, and operational resilience • Architect and scale enterprise-grade CI/CD platforms that accelerate delivery while reducing operational risk • Design and implement Infrastructure as Code using Terraform with reusable, standardized modules • Embed security throughout the engineering lifecycle through automated guardrails, policy-as-code, secrets management, and governance controls • Advance deployment automation, progressive delivery practices, and rapid recovery capabilities • Build observability strategies across distributed applications, microservices, and cloud-native environments • Strengthen AWS cloud operations through improved IAM, networking, governance, and runtime visibility • Establish engineering standards and platform best practices across multiple development teams and external partners What You'll Bring • 10+ years of Platform Engineering, DevOps, Cloud Infrastructure, or Site Reliability Engineering experience • Proven success operating and scaling complex production CI/CD ecosystems • Deep hands-on expertise with Terraform and modern Infrastructure as Code practices • Strong background in DevSecOps, security automation, compliance, policy enforcement, and vulnerability management • Experience implementing observability, monitoring, logging, and operational excellence across distributed systems • Advanced knowledge of AWS, Kubernetes, IAM, networking, cloud architecture, and platform operations • Strong understanding of software delivery, developer tooling, release management, and operational metrics such as reliability and MTTR • Ability to influence technical direction, establish enterprise standards, and communicate effectively with engineering leadership and executive stakeholders Why This Opportunity • Strategic new role with significant influence on platform and engineering strategy • Opportunity to build and mature a modern, AI-ready cloud platform • Highly visible position partnering with senior engineering and business leaders • Blend of architecture, hands-on engineering, and enterprise-wide technical leadership • Direct impact on scalability, security, developer experience, and operational excellence • Remote opportunity with exceptional compensation and bonus potential If you're a platform engineering leader who enjoys building standardized, scalable, and secure cloud environments while shaping the future of engineering delivery, we'd love to connect.
2026-09-23T20:18:47Z

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