Senior Data Engineer - Lakehouse (Remote)

ASRC Federal is a leading government contractor furthering missions in space, public health and defense. They are seeking a Senior Data Engineer to support enterprise data modernization efforts for the Defense Contract Audit Agency, responsible for designing, building, and maintaining scalable data pipelines and architectures for advanced analytics and machine learning capabilities.

Responsibilities:

• Design, develop, and maintain scalable data pipelines and ETL/ELT processes supporting structured and unstructured data
• Implement and manage lakehouse architecture solutions (e.g., Delta Lake, Databricks, or similar platforms)
• Integrate data from multiple sources including enterprise systems, cloud platforms, and external data feeds
• Develop and optimize data models to support business intelligence, analytics, and reporting requirements
• Collaborate with data scientists and analysts to enable machine learning and AI-driven insights
• Support the deployment and operationalization of ML models within production data environments
• Ensure data quality, integrity, governance, and compliance with DoD and federal data standards
• Develop dashboards and reporting solutions using BI tools (e.g., Power BI, Tableau)
• Optimize performance and scalability of data platforms in cloud environments (AWS, Azure, or similar)
• Document data architecture, workflows, and technical solutions

Requirements:

• Bachelor's degree in Computer Science, Data Engineering, Information Systems, or related field. Equivalent combination of education and experience will be considered
• 5+ years of experience in data engineering, business intelligence, or related field
• Active Secret Clearance Required
• Experience with data lake or Lakehouse architectures
• Strong proficiency in SQL and at least one programming language (Python, Scala, or Java)
• Experience with cloud platforms (AWS, Azure, or Google Cloud)
• Familiarity with ETL/ELT tools and big data technologies (e.g., Spark, Hadoop)
• Experience supporting BI tools such as Power BI, Tableau, or similar
• Understanding of data governance, security, and compliance requirements
• Experience with Databricks, Snowflake, or Delta Lake
• Experience integrating or supporting machine learning models in production environments
• Knowledge of AI/ML frameworks (e.g., TensorFlow, PyTorch, or scikit-learn)
• Familiarity with DevSecOps and CI/CD pipelines for data solutions
• Experience supporting federal or DoD environments
• Relevant certifications (e.g., AWS Certified Data Analytics, Azure Data Engineer Associate)