Senior Data Engineer | Remote- Temp To Hire

Position: Data Engineer
Location: Reston VA (Remote)
Duration: 6+ Months

Job Description
Position: Senior Data Engineer (data analytics and AI focused)
Mode: Temp to Hire (no visa or 1099 candidates)
Location: Remote (please note that FTE conversion salaries are based on cost-of-living locations)

Team:

• Team is Client delivery platform and Cumulus lots of data exchanges: AWS platform using Redshift as data warehouse Dynamo of meta-data.
• They are working on evolving code for digital SAT products and need dynamic Senior Data engineer who will also design, build and write test automation.

• We are seeking a highly skilled Data Engineering Quality Engineer to define and implement end-of-the-end testing strategies for a modern data platform built on AWS.
• This role will be responsible for ensuring data quality, reliability, and performance across the entire pipeline; from ingestion to transformation and reporting.

• Hiring team appreciates it when suppliers add the tech-stack grid to the resume (vs just in submission comments).
• Remote Interview Protocol (share document w/candidate to set expectations and upload image upon accepting invitation).
• .5 interview w/mgr> 90 mins w/panel > - remote onboarding each Tues 8:45 EST - 9:00 EST.

• Define the end-to-end testing scope based on solution architecture and project documentation.
• Design and implement a comprehensive testing strategy and plan aligned with organizational QA standards.
• Develop and maintain test scripts and frameworks for the Redshift serverless platform.

• AWS Redshift
• AWS DMS (Data Migration Service)
• AWS Glue
• PySpark Deequ
• Event Bridge
• Data Lakes
• Python-based data pipelines
• Apache Airflow
• dbt (data build tool)

• End-to-end data validation.
• Data ingestion accuracy.
• Transformation logic integrity.
• Data pipeline reliability.
• Conduct test coverage analysis and ensure adequate validation across all data engineering workflows.
• Prepare and manage test data.

• Solution architecture.
• Data models.
• Design and technical documentation.

• Identify testing impacts.
• Mitigate risks.
• Ensure high-quality deliverables.

• Proven experience in data engineering testing / data QA / ETL validation.
• Strong hands-on experience with AWS data services (Redshift, Glue, DMS).
• Proficiency in Python for test automation and validation.
• Experience with Airflow and orchestration testing.
• Hands-on experience with dbt and data transformation validation.
• Familiarity with CDK for infrastructure validation.
• Experience in BI testing in Quicksuite will be highly beneficial.
• Experience with data quality tools such as PySpark Deequ or similar.

• Data warehousing concepts.
• ETL/ELT pipelines.
• Data validation techniques (schema, reconciliation, anomaly detection).

• Experience designing enterprise-level test strategies for data platforms.
• Knowledge of CI/CD pipelines for data and test automation.
• Experience working in Agile / Scrum environments.
• Familiarity with data observability frameworks.

Why TalentBurst?
At TalentBurst, we deliver more than talent, we deliver outcomes. We partner with you to move quickly and connect you to opportunities aligned with your skills and long term growth.

Backed by precision, transparency, and results, we connect top talent with leading organizations through trusted partnerships.

We offer competitive compensation and comprehensive benefits, including medical, dental, vision, and retirement options.

TalentBurst is an equal opportunity employer committed to an inclusive and diverse workforce.