Senior Azure Data Engineer

Native American Talent; Madison (WI); A distancia; USD 103.000 - 117.000; A tiempo parcial

Descripción de la vacante

Native American Talent seeks a Senior Azure Data Engineer to modernize an enterprise data platform by migrating on-premises data warehouses to an Azure cloud data lake. You will design and build scalable data pipelines with Databricks and Data Factory, shaping data architecture and driving best practices across the team.

The role emphasizes hands-on development combined with guidance on solution design, data quality, and performance optimization in a remote, contract-to-hire setting.

Formación

• Strong hands-on data engineering experience in enterprise environments.
• Demonstrated experience with Azure Databricks and Azure Data Factory.
• Proficient in SQL and Python or PySpark.
• Experience designing and developing batch data pipelines and ETL/ELT workflows.
• Experience implementing data-quality, data-validation, and reconciliation processes.
• Knowledge of medallion/lakehouse architecture (Bronze/Silver/Gold).
• Experience with relational databases and large datasets.
• Understanding of data modeling, schema design, partitioning, and performance optimization.
• Experience with Git and CI/CD practices.

Responsabilidades

• Design, develop, test, and maintain data pipelines using Azure Databricks and Azure Data Factory.
• Migrate data and ETL workloads from on-premises Oracle and DataStage to Azure cloud data lake.
• Develop scalable ingestion, transformation, and data-processing solutions.
• Implement medallion architecture across Bronze, Silver, Gold layers.
• Incorporate data-quality checks and validation into pipelines and workflows.
• Automate validation and testing to improve data product reliability.
• Guide architectural discussions and engineering standards.
• Troubleshoot pipeline failures and data-quality issues.
• Collaborate with engineers, analysts, architects, and stakeholders to translate requirements into data solutions.
• Participate in code reviews, documentation, testing, deployment, and continuous-improvement.

Conocimientos

SQL

Python/PySpark

Data engineering

ETL/ELT

CI/CD

Git

Azure architecture

Analytical thinking

Herramientas

Azure Databricks

Azure Data Factory

Descripción del empleo

Senior Azure Data Engineer

Anywhere

Type: Contract-to-Hire

Category: Development

Industry: Insurance

Workplace Type: Remote

Standard Hours: Open

Reference ID: JN -102026-108886

Date Posted: 10/01/2026

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

Description:

Hybrid Bloomington MN

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.

Rate: $75.00 to $85.00/hr. w2 Contract to hire available

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.

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…