Start searching
Back to Jobs
Recently postedTechnology

Data Engineer

RKube IncWashington, DC🇺🇸United States

Quick overview

SeniorityMid Senior
Work modeOn Site
LocationWashington, DC, United States
DockerSQLGitApache SparkAWSETLSnowflakeBigQueryDatabricksGoogle CloudPythonRedshiftTerraformAzureKubernetesCI/CDDelta Lake

Job description

Exclusively for S
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

Similar jobs

Apply