Senior Azure Data Engineer

Eliassen Group; Madison (WI); Remote; USD 214,906,000 - 243,835,000; Full time

Benefits offered by this job

Medical benefits

Dental benefits

Vision benefits

401k with match

Life insurance

Job summary

Eliassen Group is seeking a Senior Azure Data Engineer to modernize an enterprise data platform by migrating from on-prem Oracle/DataStage to Azure data lake architecture. You will design, build, and optimize scalable data pipelines with Azure Databricks and Azure Data Factory, contributing to architecture decisions and engineering best practices.

Remote work is offered for a contract-to-hire engagement. The role involves ingesting data from legacy systems, implementing data-quality checks, and

Qualifications

• Strong hands-on data engineering experience in enterprise environments.
• Demonstrated experience with Azure Databricks and Azure Data Factory.
• Strong SQL and Python or PySpark development skills.
• Experience designing and developing batch data pipelines and ETL or ELT workflows.
• Experience implementing data-quality, data-validation, and reconciliation processes.
• Knowledge of medallion or lakehouse architecture, including Bronze, Silver, and Gold data layers.
• Experience working with relational databases and large, complex datasets.
• Understanding of data modeling, schema design, partitioning, and performance optimization.
• Experience with Git or another version-control platform.
• Experience working with CI/CD and automated deployment practices.
• Strong analytical, troubleshooting, and problem-solving skills.
• Ability to contribute directly to development while providing technical guidance to other team members.
• Strong communication and collaboration skills.
• Preferred: experience migrating on-premises platforms to Azure, Oracle and IBM DataStage, Azure data lake or lakehouse design, Delta Lake and Databricks features, automated data testing and monitoring, Azure DevOps, Agile or Scrum, healthcare or finance-related data, and regulated enterprise environments.

Responsibilities

• Design, develop, test, and maintain data pipelines using Azure Databricks and Azure Data Factory.
• Support the migration of data and ETL workloads from an on-premises Oracle and DataStage environment to an Azure cloud data lake.
• Develop scalable ingestion, transformation, and data-processing solutions.
• Design and implement medallion architecture patterns across Bronze, Silver, and Gold data layers.
• Build data-quality, reconciliation, and validation checks directly into data pipelines and engineering workflows.
• Automate validation and testing to improve the reliability of data products.
• Help guide technical discussions and decisions related to data architecture, solution design, and engineering standards.
• Troubleshoot pipeline failures, data-quality issues, and performance problems.
• Collaborate with engineers, analysts, architects, and business stakeholders to translate requirements into practical data solutions.
• Participate in code reviews, documentation, testing, deployment, and continuous-improvement activities.
• Promote reusable development patterns and sound engineering practices across the team.

Skills

Azure Databricks

Azure Data Factory

SQL

Python/PySpark

Batch ETL pipelines

Data quality & validation

Medallion architecture

Relational databases

Data modeling

Partitioning

Performance optimization

Git

CI/CD

Azure DevOps

Agile/Scrum

Tools

Git

CI/CD

Azure DevOps

Job description

Senior Azure Data Engineer

Anywhere

Type: Contract-to-Hire

Category: Development

Industry: Insurance

Workplace Type: Remote

Standard Hours: Open

Date Posted: 10/01/2026

Shortcut: http://careers.eliassen.com/ELp7Pi

Description:

Remote

As a Senior Azure Data Engineer, you will help modernize an enterprise data platform by migrating data and workloads from an on-premises Oracle data warehouse and IBM DataStage environment to a cloud-based Azure data lake architecture. You will design, build, and optimize scalable data pipelines using Azure Databricks and Azure Data Factory. This role requires someone who can contribute directly to development while also helping guide data architecture decisions, technical design discussions, and engineering best practices. Your work will include ingesting data from legacy and enterprise source systems, implementing data-quality and validation processes, and promoting data through medallion architecture layers. You will collaborate with engineers, architects, analysts, and business partners to build reliable, maintainable, and trusted data products. Healthcare or health-plan experience is beneficial, particularly experience with claims, billing, finance, or plan-administration data, but strong Azure Databricks and data-platform engineering capabilities are the primary priorities.

Applicants must be willing and able to work on a w2 basis and convert to FTE following contract duration. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance.

Rate: $75.00 to $85.00/hr. w2

Responsibilities

• Design, develop, test, and maintain data pipelines using Azure Databricks and Azure Data Factory.
• Support the migration of data and ETL workloads from an on-premises Oracle and DataStage environment to an Azure cloud data lake.
• Develop scalable ingestion, transformation, and data-processing solutions.
• Design and implement medallion architecture patterns across Bronze, Silver, and Gold data layers.
• Build data-quality, reconciliation, and validation checks directly into data pipelines and engineering workflows.
• Automate validation and testing to improve the reliability of data products.
• Help guide technical discussions and decisions related to data architecture, solution design, and engineering standards.
• Troubleshoot pipeline failures, data-quality issues, and performance problems.
• Collaborate with engineers, analysts, architects, and business stakeholders to translate requirements into practical data solutions.
• Participate in code reviews, documentation, testing, deployment, and continuous-improvement activities.
• Promote reusable development patterns and sound engineering practices across the team.

Experience Requirements

• Strong hands-on data engineering experience in enterprise environments.
• Demonstrated experience with Azure Databricks and Azure Data Factory.
• Strong SQL and Python or PySpark development skills.
• Experience designing and developing batch data pipelines and ETL or ELT workflows.
• Experience implementing data-quality, data-validation, and reconciliation processes.
• Knowledge of medallion or lakehouse architecture, including Bronze, Silver, and Gold data layers.
• Experience working with relational databases and large, complex datasets.
• Understanding of data modeling, schema design, partitioning, and performance optimization.
• Experience with Git or another version-control platform.
• Experience working with CI/CD and automated deployment practices.
• Strong analytical, troubleshooting, and problem-solving skills.
• Ability to contribute directly to development while providing technical guidance to other team members.
• Strong communication and collaboration skills.
• Preferred: experience migrating on-premises platforms to Azure, Oracle and IBM DataStage, Azure data lake or lakehouse design, Delta Lake and Databricks features, automated data testing and monitoring, Azure DevOps, Agile or Scrum, healthcare or finance-related data, and regulated enterprise environments.

Recruitment Transparency Notice

Eliassen Group values transparency in our recruitment practices. Please be advised that Eliassen Group utilizes artificial intelligence (AI) tools as part of its initial application screening and hiring process. You may receive email and SMS notifications from the Eliassen Virtual Recruiting Team ([e-mail], 781-808-2924) inviting you to complete a brief voice screening as part of your application process. These tools assist our hiring teams in different ways, including but not limited to, assistance in reviewing application materials to help identify candidates whose qualifications most closely match the requirements of the position. All AI-assisted evaluations and responses are reviewed by human recruiters before any hiring decisions are made. The use of AI in our process is intended to support fairness, efficiency, and consistency, and Eliassen Group takes measures to prevent bias or discrimination in connection with its hiring practices. By proceeding, you acknowledge, agree, and consent to Eliassen Group’s use of these tools, including AI tools, as part of the application and hiring process.

Skills, experience, and other compensable factors will be considered when determining pay rate. The pay range provided in this posting reflects a W2 hourly rate; other employment options may be available that may result in pay outside of the provided range.

W2 employees of Eliassen Group who are regularly scheduled to work 30 or more hours per week are eligible for the following benefits: medical (choice of 3 plans), dental, vision, pre-tax accounts, other voluntary benefits including life and disability insurance, 401(k) with match, and sick time if required by law in the worked-in state/locality.

If anyone reaches out to you about an open position connected with Eliassen Group, please ensure that you are working directly with us by confirming the following:

When you work with Eliassen Group, all email communication will come from an Eliassen.com address, never Gmail, Yahoo, etc.

Eliassen Group will never ask you for personal information (home address, bank account, or check routing number) until you have worked with someone clearly associated with Eliassen Group.

If you have any indication of fraudulent activity, please contact [e-mail].

About Eliassen Group

Eliassen Group is a strategic consulting firm that helps organizations reach further and achieve more through our technology, business advisory, and life sciences solutions. For nearly 40 years, we have combined exceptional people, deep domain expertise, and intelligent capabilities to expand our clients’ capacity and accelerate meaningful outcomes. We are driven by a purpose to positively impact the lives of our employees, clients, consultants, and the communities we serve.

Eliassen is committed to building a diverse and inclusive team from a variety of backgrounds, perspectives, and skills. We are an Equal Opportunity and Aff…

Eliassen does not discriminate on the basis of race, color, gender identity or expression, sexual preference or orientation, sex (including pregnancy, childbirth, and related medical conditions), marital status, creed, religion, physical or mental disability, genetic information, military or veteran status, age, ancestry, national origin, citizenship status, prohibited criminal record inquiries of applicants and employees, or any other category protected by federal, state, or local laws.

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