Senior Data Engineer - Lakehouse (Remote)

ASRC Federal•Reston, VA

1d•Remote

About The Position

ASRC Federal Technology Solutions is seeking a Business Intelligence Data Engineer – Lakehouse / ML / AI to support enterprise data modernization efforts for the Defense Contract Audit Agency (DCAA). This role is responsible for designing, building, and maintaining scalable data pipelines and architectures that enable advanced analytics, reporting, and machine learning capabilities. The ideal candidate will have experience working with Lakehouse architectures, cloud-based data platforms, and integrating AI/ML solutions into business intelligence environments.

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

Nice To Haves

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)

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

Benefits

Comprehensive plans for medical, dental, vision, life insurance, and short-term/long-term disability
Inclusive policies for bereavement, military obligations, and parental needs, along with 11 paid holidays annually
A 401(k) plan with a generous company match and immediate vesting
Employee referral bonuses
Professional development program including annual funding for pursuing degrees, obtaining certifications, participating in certificate programs, and covering registration fees for conferences
Competitive pay and benefits packages
Health care, dental, vision, life insurance
401(k)
Education assistance
Paid time off including PTO, holidays, and any other paid leave required by law