Data Engineer

Analytica is seeking Data Engineers across multiple experience levels—from junior to senior—to join our growing team and support the design and development of scalable data platforms and analytics solutions. We are actively considering candidates with a range of expertise, and responsibilities will be aligned to demonstrated technical depth, autonomy, and ability to deliver impact.The ideal candidate thrives in an agile, collaborative environment and brings experience (or strong foundational knowledge, for emerging engineers) in building data pipelines and architectures using Databricks and modern data engineering frameworks.Analytica has been recognized by Inc. Magazine as one of the fastest-growing private companies in the U.S. for three consecutive years. We partner with organizations across industries to deliver impactful, data-driven solutions. We offer competitive compensation, performance-based bonuses, employer-sponsored health benefits, professional development funding, and a 401(k) match.Responsibilities include (but are not limited to):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 casesBuild and support ETL/ELT processes using SQL, Python, and Spark to ingest, transform, and curate datasetsCollaborate with stakeholders to translate business requirements into technical data solutionsEnsure data quality, integrity, and performance through testing, monitoring, and optimizationContribute 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 applicationsApply data governance, security, and metadata management best practicesQualifications (aligned to expertise level):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 levelUS Citizenship and must be able to obtain and maintain security clearanceEmerging / Junior Data Engineer:Foundational knowledge of SQL and Python (or similar language)Exposure to Databricks, Apache Spark, or distributed data processing concepts through coursework, internships, or projectsUnderstanding of basic data modeling and ETL/ELT conceptsAbility to work within established pipelines and contribute to data workflows with guidanceMid-Level Data Engineer:Hands-on experience building and maintaining data pipelines using Databricks and SparkStrong SQL and programming skills (Python and/or Scala)Experience designing data models and optimizing data processing workflowsAbility to independently deliver data solutions and troubleshoot performance issuesSenior Data Engineer:Deep expertise in Databricks, Spark, and large-scale data processing architecturesProven ability to design and implement scalable data platforms and lakehouse architecturesStrong experience with performance tuning, data reliability, and cost optimizationAbility to lead technical design, mentor team members, and influence data engineering best practicesExperience working cross-functionally to define data strategy and architectureStrong communication skills and ability to work effectively with both technical and non-technical stakeholdersUS Citizenship and must be able to obtain and maintain security clearancePreferred Qualifications:Experience with Delta Lake and lakehouse architecture patternFamiliarity with modern data stack tools (e.g., dbt, Airflow, or similar orchestration tools)Experience with data governance, cataloging, and lineage toolsExperience mentoring junior engineers or leading technical initiatives (senior level)Relevant certifications in data engineering or big data technologies particularly in DatabricksAbout Analytica: Analytica is a leading consulting and information technology solutions provider to public sector organizations supporting health, civilian, and national security missions. The company is an award-winning SBA certified small business that has been recognized by Inc. Magazine each of the past three years as one of the 250 fastest-growing companies in the U.S. Analytica specializes in providing software and systems engineering, information management, analytics & visualization, agile project management, and management consulting services. The company is appraised by the Software Engineering Institute (SEI) at CMMI® Maturity Level 3 and is an ISO 9001:2008 certified provider.