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Job Description

D2 Technologies is building enterprise-scale data capabilities and is seeking an experienced Data Engineer to design, develop, and optimize data solutions on the Databricks Lakehouse Platform. This hybrid role in Herndon, VA supports large-volume data processing through scalable ETL/ELT pipelines and performance-focused analytics engineering using Apache Spark and SQL.

What You’ll Do

  • Design, develop, and maintain scalable data engineering solutions using Databricks and Apache Spark
  • Build and optimize high-performance ETL/ELT pipelines for both structured and unstructured data
  • Develop, tune, and optimize complex SQL queries for data transformation and analytics
  • Translate business requirements into scalable technical solutions
  • Troubleshoot production issues and optimize data pipeline performance
  • Ensure data quality, integrity, security, and governance across enterprise data platforms
  • Collaborate with data architects, software engineers, analysts, and business stakeholders
  • Participate in code reviews and follow software engineering best practices
  • Create and maintain technical documentation for solutions, deployments, and operational support
  • Support production releases and provide operational support as needed

What You Bring

  • U.S. Citizenship is required
  • Top Secret (TS) Security Clearance or Public Trust Clearance preferred
  • Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field (or equivalent experience)
  • Hands-on experience developing and implementing data engineering solutions using Databricks
  • Strong, hands-on experience with the Databricks Lakehouse Platform
  • Strong programming experience with Apache Spark (PySpark/Spark SQL)
  • Expert-level SQL skills, including writing, optimizing, and troubleshooting complex queries
  • Strong analytical, critical thinking, and problem-solving skills
  • Experience designing, developing, and supporting ETL/ELT pipelines
  • Strong understanding of data modeling, data warehousing, and Delta Lake
  • Experience using Git or other version control systems
  • Excellent verbal and written communication skills

Additional Preferred Qualifications

  • Experience with Azure, AWS, or Google Cloud Platform
  • Knowledge of CI/CD pipelines and DevOps practices
  • Experience with Databricks Delta Live Tables (DLT) and Unity Catalog
  • Nice to have: PL/SQL

Technologies: Databricks, Databricks Lakehouse Platform, Apache Spark, PySpark, Spark SQL, SQL, ETL, ELT, Delta Lake, Git, Azure, AWS, Google Cloud Platform, Databricks Delta Live Tables (DLT), Unity Catalog, PL/SQL, CI/CD

Location: Hybrid remote in Herndon, VA 20192
Salary: $100,000 - $150,000 per year (negotiable)

Application screening: Federal Project requires US Citizenship. Are you US Citizen?

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