Senior Data Engineer

Hi Job Seekers,

Increase your chances of an interview by reading the following overview of this role before making an application.

About 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.

For more information about Galent and our suite of AI solutions, visit Title: Senior Data Engineer

Location: Washington DC (Onsite)

Full Time

"Must be able to obtain a Public Trust clearance"

Job Description:

Must-Haves

• 4–7 years of hands-on Data Engineering experience
• Experience delivering multiple production-grade cloud data platform implementations
• Advanced Python, SQL, and Spark/PySpark with some exposure to Databricks.
• Strong knowledge of ETL/ELT, data modeling, CDC, streaming, governance, and performance optimization
• Experience with Git, CI/CD, automated testing, and deployment strategies
• Experience contributing to solution design and architectural decisions
• Experience leading technical implementation activities and/or mentoring engineers
• At least one Associate-level or higher AWS, Azure, or GCP certification

Nice-to-Haves

• Delta Lake / Lakehouse experience
• Snowflake, Redshift, Synapse, xevrcyc or BigQuery experience
• Docker / Kubernetes exposure
• Working knowledge of Terraform / Infrastructure as Code

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.