Senior Data Engineer

The Senior Data Engineer is a hybrid role combining Data Analyst, Data Engineer, and Data Scientist responsibilities. This position operates with a high level of autonomy, owning projects end-to-end across functional areas. The ideal candidate is proactive, solution-oriented, and capable of identifying opportunities, reducing complexity, and delivering efficient, high-quality data solutions.

This role also provides guidance to team members, helps remove roadblocks, and contributes to the continuous improvement of processes, systems, and deliverables., Data Analysis & Insights

• Gather, clean, and analyze complex datasets using advanced analytical techniques
• Apply statistical methods to identify trends, patterns, and anomalies
• Conduct exploratory data analysis (EDA) to support decision-making
• Translate data findings into actionable insights for technical and non-technical stakeholders

Data Engineering & Pipeline Development

• Design, develop, and maintain ETL/ELT pipelines using Databricks and Delta Lake
• Implement Medallion Architecture (Bronze, Silver, Gold) to ensure data quality and scalability
• Manage data ingestion processes with a focus on traceability and governance (e.g., Collibra)
• Build and maintain data pipelines within DoD environments such as Advana/Jupiter
• Troubleshoot, debug, and optimize data pipelines, identifying root causes and implementing solutions

Data Visualization & Reporting

• Develop dashboards, reports, and visualizations using tools such as Tableau, Power BI, Qlik, or Foundry
• Create interactive dashboards and reports to support operational and strategic decisions
• Ensure accuracy, quality, and usability of all data visualizations and deliverables

Integration & System Support

• Collaborate with data engineers, analysts, scientists, and stakeholders to deliver integrated data solutions
• Support real-time data streaming using Databricks Structured Streaming
• Optimize data storage solutions leveraging Delta Lake capabilities (e.g., schema evolution, time travel)

Governance & Compliance

• Maintain data lineage and governance using tools such as Collibra
• Ensure compliance with data security, privacy, and DoD requirements
• Establish and enforce data quality standards across multiple data sources

Collaboration & Communication

• Work closely with cross-functional teams to gather and refine requirements
• Communicate findings, recommendations, and metrics clearly and professionally
• Track assigned tasks and provide regular updates to leadership
• Mentor junior team members and support team development initiatives

• Active DoD Secret Clearance
• Bachelor’s degree in Data Science, Computer Science, Statistics, Engineering, or a related field
• 5+ years of experience in data engineering and building data pipelines and architectures
• 5+ years of experience in data analysis, data mining, or business intelligence
• 3+ years of experience developing data solutions using Python, SQL, and/or PySpark in big data environments (e.g., Databricks, Snowflake)
• Strong experience with data visualization tools (Tableau, Power BI, Qlik, Foundry) and advanced Excel (macros, pivot tables, VBA)
• Experience with cloud platforms such as AWS, Azure, or Google Cloud
• Familiarity with big data frameworks (Hadoop, Spark, Kafka)
• Strong understanding of ETL processes, data warehousing, and BI best practices
• Proven ability to analyze large datasets and communicate insights effectively
• Strong problem-solving skills and attention to detail
• U.S. work authorization required, * Master’s degree in Data Engineering, Computer Science, or related field
• Experience with DoD data platforms such as Advana and Jupiter
• Familiarity with statistical methods (e.g., hypothesis testing, regression analysis)
• Experience with SAP, Foundry, or advanced analytics platforms
• Experience with NoSQL databases (e.g., Cassandra, MongoDB)
• Knowledge of containerization tools (Docker, Kubernetes)
• Experience with version control systems (Git) and Agile methodologies (Scrum, Kanban)
• Prior experience in a client-facing government environment

• 401(k)
• 401(k) matching
• Dental insurance
• Health insurance
• Life insurance
• Paid time off
• Professional development assistance
• Retirement plan
• Vision insurance