2 months ago
Bethesda, MD, USAStaff+
Responsibilities
- Lead day-to-day technical execution for engineering teams delivering data and analytics solutions.
- Design, develop, troubleshoot, and optimize scalable data pipelines, integrations, and processing frameworks using Databricks and AWS.
- Mentor engineers, guide technical collaboration, conduct code reviews, and lead by example while remaining hands-on.
- Collaborate with architects, program leadership, application engineers, QA/test teams, and business analysts to deliver project objectives.
- Break requirements into development tasks and support sprint execution, backlog refinement, sprint planning, and technical estimation.
- Support production operations, root-cause analysis, performance improvement, maintainability, testing, and continuous improvement.
Requirements
- U.S. citizenship and ability to obtain and maintain required clearance or suitability determinations.
- Bachelor’s degree in Computer Science, Information Systems, Engineering, Data Science, or a related field; a master’s degree is a plus.
- At least 8 years of experience building and maintaining ETL/ELT pipelines and large-scale data processing solutions.
- Hands-on expertise with Databricks and modern data engineering frameworks.
- Experience working in AWS cloud environments and strong proficiency with Python and/or Spark-based data processing.
- Familiarity with CI/CD pipelines, Git-based workflows, and Agile development practices.
- Strong troubleshooting, collaboration, communication, and stakeholder-bridging skills.
- Ability to lead technical efforts while remaining hands-on in delivery.
- Databricks Certified Data Engineer Associate, Databricks Certified Machine Learning Associate, AWS Certified Data Analytics – Specialty, and/or AWS Certified DevOps Engineer – Professional certifications are relevant qualifications.
- Experience in client-facing or consulting environments and familiarity with Agile/Scrum methodologies and tools.
Benefits
- Hybrid schedule with candidates located in the DMV area for in-person collaboration as needed.
- Competitive compensation with opportunities for bonuses.
- Employer-paid health care.
- Training and development funds.
- 401(k) match.
Tech Stack
Categories
Data Engineering
About Analytica
Analytica provides data and software engineering, analytics, and IT modernization consulting to U.S. government health, civilian, and national security agencies. Its services span cloud and enterprise data platforms (e.g., AWS, Databricks), DevSecOps, GIS, and AI/ML, delivered via government contracts. Founded in 2009 and headquartered in Washington, DC, the privately held firm is an SBA-certified 8(a) and HUBZone small business.