Data Engineer

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:

• 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.

Key Responsibilities

• 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.

Required Qualifications

• 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.

Preferred Qualifications

• 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.

Why:

• 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.