Senior Data Engineer

General Information

Requisition # 686

Locations USA-VA-Charlottesville, USA-NC-Raleigh

Posting Date 04/03/2026

Security Clearance Required - NA

Remote Type Hybrid

Time Type Full time

Description & Requirements

Elder Research Inc., a wholly owned subsidiary of MANTECH international Corporation seeks a motivated, career and customer-oriented Senior Data Engineer to join our team in Raleigh, NC. The Senior Data Engineer has strong engineering skills and will provide technical support across multiple project teams by leading, designing, and implementing the software and data architectures necessary to deliver analytics to our clients, as well as providing consulting and training support to client teams in the areas of architecture, data engineering, ML engineering and/or related areas. The ideal candidate will have a strong command of Python for data analysis and engineering tasks, a demonstrated ability to create reports and visualizations using tools like R, Python, SQL, or Power BI, and deep expertise in Microsoft Azure or similar environments. The candidate will play a key role in collaborating with cross-functional teams, including software developers, cloud engineers, architects, business leaders, and power users, to deliver innovative data solutions to our clients.

This role requires a consultative mindset, excellent communication skills, and a thorough understanding of the Software Development Life Cycle (SDLC). Candidates should have 5-10 years of relevant experience and experience in client-facing or consultative roles. The role will be based out of Raleigh NC or Charlottesville VA and will require 2-4 days of Business Travel to our customer site every 6 weeks.

Responsibilities include but are not limited to:

Data Engineering & Analysis:

• Develop, optimize, and maintain scalable data pipelines and systems in Azure environments.
• Analyze large, complex datasets to extract insights and support business decision-making.
• Create detailed and visually appealing reports and dashboards using R, Python, SQL, and Power BI.

Collaboration & Consulting:

• Work closely with software developers, cloud engineers, architects, business leaders, and power users to understand requirements and deliver tailored solutions.
• Act as a subject-matter expert in data engineering and provide guidance on best practices.
• Translate complex technical concepts into actionable business insights for stakeholders.

Azure Expertise:

• Leverage Azure services such as Azure Data Factory, Azure Synapse Analytics, Azure Databricks, Azure SQL Database, and Azure Blob Storage for data solutions.
• Ensure data architecture is aligned with industry standards and optimized for performance in cloud environments.

SDLC Proficiency:

• Follow and advocate for SDLC best practices in data engineering projects.
• Collaborate with software development teams to ensure seamless integration of data solutions into applications.

Minimum Qualifications:

• Experience: 5-10 years in data engineering, analytics, or related fields
• Education: Master’s degree in Computer Science, Data Science, Engineering, or a related field.
• Consultative Skills: Strong client-facing experience with excellent communication and presentation abilities.
• SDLC Knowledge: Proven track record of delivering data solutions following SDLC methodologies
• Programming: Advanced expertise in Python; experience with R is a plus.
• Data Tools: Proficient in SQL, Power BI,

Preferred Qualifications:

• Certifications in Azure (e.g., Azure Data Engineer, Azure Solutions Architect).
• Familiarity with Azure Functions, Event Grid, and Logic Apps.
• Azure Knowledge: Strong understanding of Azure services, including data integration, storage, and analytics solutions.
• Hands-on experience with machine learning frameworks and big data processing tools (e.g., Spark, Hadoop).
• Familiarity with CI/CD pipelines and DevOps practices for data engineering workflows.

About Elder Research, Inc - People Centered. Data Driven

Elder Research considers all qualified applicants for employment without regard to disability or veteran status or any other status protected under any federal, state, or local law or regulation.

If you need a reasonable accommodation to apply for a position with Elder Research, please email us at careers@elderresearch.com and provide your name and contact information.