Position Overview

We are seeking an experienced Data Engineer to design, develop, and optimize enterprise-scale data solutions using the Databricks Lakehouse Platform. The ideal candidate is a hands-on engineer with strong expertise in Databricks, Apache Spark, and SQL, excellent analytical and problem-solving skills, and experience building scalable data pipelines in cloud environments.

Required Qualifications

• 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 with experience writing, optimizing, and troubleshooting complex SQL 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.

Preferred Qualifications

• Strong analytical and problem-solving skills.
• Strong SQL query writing, optimization, and performance tuning skills.
• 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: Experience with PL/SQL.

Key Responsibilities

• Design, develop, and maintain scalable data engineering solutions using Databricks and Apache Spark.
• Build and optimize high-performance ETL/ELT pipelines for processing large volumes of structured and unstructured data.
• Develop, tune, and optimize complex SQL queries for data transformation and analytics.
• Analyze business requirements and translate them 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.

Desired Skills

• Strong attention to detail and commitment to delivering high-quality solutions.
• Ability to work independently and collaboratively within Agile teams.
• Excellent organizational, communication, and interpersonal skills.
• Passion for learning new technologies and continuously improving data engineering practices.

Pay Range: Negotiable

Pay: $100,000.00 - $150,000.00 per year

Application Question(s):

• This is Federal Project and requires US Citizenship. Are you US Citizen?

Work Location: Hybrid remote in Herndon, VA 20192