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Lead Data Engineer - Hybrid

Job in Eagan, Dakota County, Minnesota, USA
Listing for: Genesis10
Full Time, Contract position
Listed on 2026-01-30
Job specializations:
  • IT/Tech
    Data Engineer, Data Analyst
Salary/Wage Range or Industry Benchmark: 85 - 95 USD Hourly USD 85.00 95.00 HOUR
Job Description & How to Apply Below
Position: Lead Data Engineer - Hybrid and Contract to Hire Opportunity

Lead Data Engineer – 9 Month Contract-to-Hire

Genesis
10 is currently seeking a Lead Data Engineer for a 9-month contract-to-hire role with our healthcare client in Eagan, MN. This role will be hybrid, working 2 days onsite.

Compensation

$85.00 - 95.00 per hour, depending on skill and experience level.

How Is This Role Important to Our Work?

We are hiring a Lead Data Engineer for Client of MN! This position is responsible for providing technical and resource leadership to enable data analytics with structured and unstructured data. You will be responsible for leading or executing user story development, data design and architecture, data integration development, testing, or BI application delivery in the data analytics framework, including surrounding enablement environments.

You'll get to collaborate and/or partner with business areas, project teams, IT technical teams, as well as outsourced vendors to ensure high-quality delivery of data architecture and data integration applications, focusing on business analytical enablement for medium to large projects or support efforts.

A Day in Life
  • As a technical expert, leads creation and review of highly complex data solutions, enforcing best practices, processes, and standards for user story development, data analysis, architecture, modeling, design, coding, testing, deployment, and scheduling.
  • Advocates for the broad education and understanding of the corporate data strategy within the department and enterprise, including varying levels of leadership within the organization as needed, seeking collaborative opportunities as appropriate.
  • Leads or oversees the execution of the data management lifecycle to enable business data analytics.
  • Performing lead functions (e.g., providing work direction, monitoring work, providing feedback, coaching/mentoring as needed).
    * Design and develop prototypes or final data solutions to enable the measurement or monitoring of key performance indicators.
  • Responsible for identifying and/or making significant improvement enhancements to existing artifacts to align with enterprise strategy or to improve user experience.
  • Ensure test environment and data readiness are appropriate for support and project deliverables.
  • Accountable for complex test cases in interdependent enterprise systems based on system requirements and technical design documentation, using automation to the fullest extent.
  • Execution and maintenance of manual and/or automated test cases and scripts, as assigned.
  • Analyzes test results and documents defects and issues using the Incident Management Process.
  • Demonstrates self-initiative and continuous learning in emerging technologies.
  • Takes the lead on projects, providing technical guidance and direction.
  • Utilizes AI prompting for coding efficiency and workflow improvements.
  • Communicate effectively with technical and non-technical stakeholders.
Technical Required Skills
  • Experience with storage, ETL/ELT processes, and orchestration with AWS Cloud Technologies
  • Apache Spark
  • AWS S3 and Labda
  • Terraform (Infrastructure as Code/CI/CD Exposure)
  • Git
  • SQL
  • Data Warehouse Design
  • Linus/Unix Command Line (Shell Scripting, Data Processing, and Automation)
  • Experience with Agile/Scrum
Nice to Have
  • Bachelor's Degree
  • Experience with AI prompting for coding and working efficiencies
  • Databricks
  • Experience taking the lead on complex data projects
  • Knowledge of the health care/health insurance industry
  • Practical and relevant experience with two or more data warehouses and big data technical tools
  • Teradata, Informatica, Wheres cape Red, Power BI experience
Required Skills and Experiences
  • 5+ years of professional related experience. All relevant experience, including work, education, transferable skills, and military experience, will be considered.
  • Experience developing medium-complex data integration solutions using two or more data management software tools.
  • Experienced knowledge in data analysis using SQL, user story development, data warehouse design and modeling (3rd normal form or dimensional modeling), data integration design and development, and/or performance tuning.
  • able in data warehouse market best practices, development standards, and methodologies.
  • Demonstrated…
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