Senior Data Engineer

SDFM; Alexandria (VA); Hybrid; USD 120,000 - 160,000; Full time

Job summary

SDFM is seeking a Senior Data Engineer in the Alexandria, VA area for a hybrid role that combines hands-on data engineering with business-facing collaboration. You will help scale data capabilities and partner with stakeholders to deliver robust data solutions.

The role requires a strong data engineering background, experience with MDM, data governance and Power BI analytics, plus a bachelor's degree and excellent communication skills.

Qualifications

• Bachelor's degree required.
• Strong experience with MDM tools and data engineering across warehouses, lakes, ETL, and data quality.
• Proven ability to partner with multiple business and back-office functions and translate requirements to data solutions.
• Excellent communication and presentation skills to translate technical concepts for business stakeholders.
• Experience with Power BI and semantic modeling.
• Experience operating in government contracting or compliance-driven environments, including data governance and risk considerations.

Responsibilities

• Scale and modernize back-office data capabilities as the organization grows.
• Serve in a high-visibility, business-facing data engineering role with stakeholders across functions.
• Design, enhance, and support data warehouses, data lakes, ETL, MDM, and data quality solutions.
• Partner with business teams to translate requirements into scalable data solutions.
• Leverage Power BI and semantic modeling to strengthen reporting and analytics across the enterprise.
• Establish and advance data quality, governance, and risk-management practices within a compliance-driven environment.
• Communicate technical concepts and data strategies effectively to technical and non-technical audiences.

Skills

MDM tools

Data warehouses

Data lakes

ETL patterns

Data quality

Business partnering

Communication

Power BI

Semantic modeling

Data governance

Regulatory compliance

Education

Bachelor's degree

Tools

Python

Scala

Job description

Company – Our client is a growing global provider of data-driven analytical and technical services supporting critical national security missions across defense, intelligence, and homeland security. With more than five decades of experience, the organization is recognized for its people-focused culture and long-standing reputation as a top workplace.

Job Title – Senior Data Engineer

Location – Hybrid in Alexandria, VA – typically 3 days onsite / 2 days remote, with occasional 4-day onsite weeks based on business needs

Role Type – Direct Hire / Full-Time

Must Have Skills:

• Strong experience with Master Data Management (MDM) tools
• Strong data engineering background spanning data warehouses, data lakes/lake architectures, ETL patterns, and data quality frameworks
• Proven ability to partner with multiple business and back-office functions, gather requirements, and advance enterprise data engineering capabilities
• Strong communication and presentation skills with the ability to translate complex technical and data engineering concepts into plain English for business stakeholders
• Experience with Power BI and semantic modeling
• Experience operating in a government contracting or similarly compliance-driven environment, including data governance and risk considerations

Responsibilities and Job Details:

• Help scale and modernize our client’s back-office data capabilities as the organization continues to grow.
• Serve in a highly visible, business-facing data engineering role that partners closely with stakeholders across multiple functions.
• Design, enhance, and support data engineering solutions involving data warehouses, data lakes, ETL processes, MDM, and data quality.
• Partner with business teams to understand requirements and translate them into effective, scalable data solutions.
• Leverage Power BI and semantic modeling to strengthen enterprise reporting, analytics, and overall data capabilities.
• Help establish and advance data quality, governance, and risk-management practices within a compliance-driven environment.
• Communicate technical concepts, recommendations, and data strategies effectively to both technical and non-technical audiences.
• Bring a proactive, can-do approach to identifying opportunities and driving measurable improvements across the organization’s data environment.
• Bachelor’s degree required.
• Python or Scala programming experience is a plus.