Data Engineer
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Job Location:
Bellevue, WA - USA
Monthly Salary:
Not Disclosed
Posted on:
Yesterday
Vacancies:
1 Vacancy
Job Summary
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: BellevueWA / FriscoTX /Atlanta GA
Duration: 6 Months
Job Type: Temporary Assignment
Work Type: Onsite
Job Description
About the Role:
- The Data Foundations team is looking for a Data Engineer ready to own meaningful work end-to-end.
- Youll 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:
- Bachelors 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 Clients business purpose-built to support Growth and Emerging Business initiatives.
- You wont just maintain infrastructure youll help define how Clients most ambitious new bets are powered by data from day one of a products life.
- Our team operates at the intersection of scale and speed and youll have the freedom to experiment with AI-driven engineering while seeing your works impact on products used by tens of millions of customers.
TekWissen Group is an equal opportunity employer supporting workforce diversity.
