Job Summary:
Analytica is a leading consulting and information technology solutions provider to public sector organizations. They are seeking Data Engineers to support the design and development of scalable data platforms and analytics solutions.
Responsibilities:
• Design, build, and maintain scalable data pipelines and data architectures using Databricks and distributed processing frameworks (ownership and complexity vary by level)
• Develop and optimize data models, including dimensional (star/snowflake) schemas, to support analytics and reporting use cases
• Build and support ETL/ELT processes using SQL, Python, and Spark to ingest, transform, and curate datasets
• Collaborate with stakeholders to translate business requirements into technical data solutions
• Ensure data quality, integrity, and performance through testing, monitoring, and optimization
• Contribute to data platform design decisions, tooling selection, and engineering best practices (increasing influence at higher levels)
• Implement and support CI/CD pipelines for data workflows and assist with deployment and maintenance of data applications
• Apply data governance, security, and metadata management best practices
Qualifications:
Required:
• Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related quantitative field (or equivalent experience)
• Experience working across cloud (AWS, Azure) or hybrid data environments
• Demonstrated hands-on experience with Databricks commensurate with overall years of experience and seniority level
• US Citizenship and must be able to obtain and maintain security clearance
• Strong communication skills and ability to work effectively with both technical and non-technical stakeholders
• Foundational knowledge of SQL and Python (or similar language)
• Exposure to Databricks, Apache Spark, or distributed data processing concepts through coursework, internships, or projects
• Understanding of basic data modeling and ETL/ELT concepts
• Ability to work within established pipelines and contribute to data workflows with guidance
• Hands-on experience building and maintaining data pipelines using Databricks and Spark
• Strong SQL and programming skills (Python and/or Scala)
• Experience designing data models and optimizing data processing workflows
• Ability to independently deliver data solutions and troubleshoot performance issues
• Deep expertise in Databricks, Spark, and large-scale data processing architectures
• Proven ability to design and implement scalable data platforms and lakehouse architectures
• Strong experience with performance tuning, data reliability, and cost optimization
• Ability to lead technical design, mentor team members, and influence data engineering best practices
• Experience working cross-functionally to define data strategy and architecture
Preferred:
• Experience with Delta Lake and lakehouse architecture pattern
• Familiarity with modern data stack tools (e.g., dbt, Airflow, or similar orchestration tools)
• Experience with data governance, cataloging, and lineage tools
• Experience mentoring junior engineers or leading technical initiatives (senior level)
• Relevant certifications in data engineering or big data technologies particularly in Databricks
Company:
Analytica has built a team of exceptionally dedicated analysts, associates and public sector subject matter experts. Founded in 2009, the company is headquartered in Washington, USA, with a team of 51-200 employees. The company is currently Growth Stage.