Data Engineer
Tekwissen
Overview: TekWissen is a global workforce management provider headquartered in Ann Arbor, Michigan that offers strategic talent solutions to our clients world-wide. Our client provider of digital technology and transformation, information technology and services
Position: Data Engineer Location: Bellevue,WA/ Frisco,TX/ Atlanta, GA Duration: 6 months Job Type: Temporary Assignment Work Type: Hybrid Job Description: About the Role:
TekWissen® Group is an equal opportunity employer supporting workforce diversity.
Position: Data Engineer Location: Bellevue,WA/ Frisco,TX/ Atlanta, GA Duration: 6 months Job Type: Temporary Assignment Work Type: Hybrid Job Description: About the Role:
- The Data Foundations team is looking for a Data Engineer ready to own meaningful work end-to-end.
- You'll design and deliver production-grade data pipelines, ensure the data your team ships is trustworthy and well-defined, and actively use AI tools like Claude to move faster and build smarter.
- You bring solid engineering fundamentals and an AI-first mindset to everything you build.
- Design & Build Production Pipelines: Architect and implement ELT/ETL pipelines using Databricks and dbt; build robust data workflows on Azure (ADLS, ADF) to support batch and near-real-time use cases.
- Own Data Quality & Reliability: Take end-to-end ownership of data quality in your domain define schemas, freshness SLAs, and ownership boundaries so that downstream consumers, including the Reporting team, can depend on the data you produce.
- Use AI to Build Better, Faster: Actively use Claude to generate code, automate repetitive engineering tasks, prototype new solutions, and accelerate delivery while maintaining full ownership and accountability for what ships.
- Write Maintainable, Tested Code: Write clean, testable Python and SQL;
- contribute to CI/CD pipelines in Azure DevOps; participate in and lead code reviews with a focus on quality and long-term maintainability.
- Tune for Performance & Cost: Profile and optimize Databricks notebooks, dbt models, and Snowflake queries to meet SLAs without unnecessary cloud spend.
- Work Closely with the Reporting Team: Partner with the Reporting team and product managers to understand downstream data needs and deliver data products that directly support business decisions for Growth and Emerging Business.
- Deliver in Agile Sprints: Operate effectively within Scrum own your sprint commitments, participate in planning and retrospectives, and communicate blockers and progress transparently.
- Operate & Improve Production Systems: Serve as a primary on-call responder for pipelines in your domain; own incident triage and resolution; write post-incident summaries and translate learnings into platform improvements.
- Bachelor's degree in Computer Science, Engineering, Data Science, or equivalent experience.
- 2-4 years of experience in data engineering or a closely related software engineering role.
- Strong SQL and Python skills applied to data transformation and pipeline development.
- Hands-on experience with Databricks (Spark, Delta Lake) and Snowflake.
- Experience building pipelines on Azure (ADF, ADLS, or equivalent).
- Experience with dbt for data transformation and modeling.
- Solid Git workflow practices and CI/CD experience, ideally with Azure DevOps.
- Demonstrated use of AI tools (Claude, GitHub Copilot, or similar) to accelerate and improve your engineering work.
- Experience working in Agile/Scrum teams.
- Familiarity with data quality frameworks such as Great Expectations or dbt tests
- Experience with orchestration tools like Airflow or Azure Data Factory pipelines.
- Track record of building AI-assisted automation for data engineering tasks.
- Data Foundations The Data Foundations team is the data backbone of Client's business, purpose-built to support Growth and Emerging Business initiatives.
- You won't just maintain infrastructure you'll help define how Client's most ambitious new bets are powered by data, from day one of a product's life.
- Our team operates at the intersection of scale and speed, and you'll have the freedom to experiment with AI-driven engineering while seeing your work's impact on products used by tens of millions of customers.
TekWissen® Group is an equal opportunity employer supporting workforce diversity.
Vacancy posted 3 days ago
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