Why This Role Stands Out
Embark on a journey of significant career growth by becoming a Senior Data Engineer at RKube Inc., where you'll gain specialized Databricks expertise through paid, remote training and contribute to impactful federal government programs. This role is ideal for experienced data professionals with strong Python, SQL, and Spark skills who are eager to lead and innovate within a reputable organization. Apply now to elevate your skills and make a tangible impact in the Washington, DC Metro area.
Quick Overview
Seniority
Mid Senior
Work mode
On Site
Location
Washington, DC, United States
Posted
21 hours ago
DockerSQLAWSETLSnowflakeAzureBigQueryDatabricksGitGoogle CloudKubernetesPythonRedshiftTerraform
Job Description
Role Overview
We are hiring experienced Senior Data Engineers to support a large-scale Databricks platform build supporting federal government programs in the Washington, DC area.
Candidates will complete 10 weeks of paid, full-time Databricks specialization training remotely, followed by onsite deployment in the DC Metro area. Training and Databricks certification costs are covered.
Required Qualifications
- 4–7 years of hands-on Data Engineering experience
- Experience delivering production-grade cloud data platform implementations
- Advanced Python, SQL, and Spark/PySpark
- Exposure to Databricks
- Strong knowledge of:
- ETL/ELT
- Data Modeling
- Change Data Capture (CDC)
- Streaming
- Data Governance
- 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 Google Cloud Platform certification
- Willingness to work onsite in the Washington, DC Metro area after training
- Ability to successfully complete a background investigation
Nice to Have
- Delta Lake / Lakehouse experience
- Snowflake, Redshift, Synapse, or BigQuery
- Docker or Kubernetes
- Terraform / Infrastructure as Code
Training & Deployment
- 10 weeks of paid remote Databricks training
- Databricks Certified Data Engineer Associate and Professional certifications
- Certification exam costs covered
- Onsite deployment in Washington, DC Metro after training
- Training expected to begin in October 2026
- Deployment expected around December 2026
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