Senior Data Engineer
Galent
Job Description
Hi Job Seekers,
\n \nAbout Galent: Galent is an AI-native digital engineering firm delivering enterprise-ready AI solutions. Through consulting, AI-native services, and digital engineering, we help organizations unlock the full potential of AI and drive next-generation digital transformation.
\n \nFor more information about Galent and our suite of AI solutions, visit
\n \nJob Title: Senior Data Engineer
\nLocation: Washington DC (Onsite)
\nFull Time
\n \n"Must be able to obtain a Public Trust clearance"
\n \nJob Description:
\n \nMust-Haves
\n- \n
- 4–7 years of hands-on Data Engineering experience \n
- Experience delivering multiple production-grade cloud data platform implementations \n
- Advanced Python, SQL, and Spark/PySpark with some exposure to Databricks. \n
- Strong knowledge of ETL/ELT, data modeling, CDC, streaming, governance, and performance optimization \n
- Experience with Git, CI/CD, automated testing, and deployment strategies \n
- Experience contributing to solution design and architectural decisions \n
- Experience leading technical implementation activities and/or mentoring engineers \n
- At least one Associate-level or higher AWS, Azure, or GCP certification \n
Nice-to-Haves
\n \n- \n
- Delta Lake / Lakehouse experience \n
- Snowflake, Redshift, Synapse, or BigQuery experience \n
- Docker / Kubernetes exposure \n
- Working knowledge of Terraform / Infrastructure as Code \n
We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, citizenship status, age, disability, genetic information, protected veteran status, or any other characteristic protected by applicable law. verify.gov/sites/default/files/everify/posters/IER_RighttoWorkPoster.pdf
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