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Senior Data Engineering Jobs in Virginia (NOW HIRING)

Senior Data Analyst

Quantico, VA · On-site

$91K - $114K/yr

Senior Data Analyst ID: 1592 Location: Quantico, VA More about this job > Description Data ... Master's degree in Data Science, Computer Science, Engineering, Mathematics, or related field

Senior Data Engineer

Chantilly, VA

$108K - $147K/yr

... engineering, mathematics, etc.). * Experience with services including Apache Kafka, Apache Spark, and Prefect * Experience containerizing applications using Docker and deployments on Kubernetes

Overview We are looking for seasoned Senior Data Engineer to work with our team and our clients to ... Engineering with experience in tools such as: * Big data tools: Hadoop, Spark, Kafka, etc.

Senior Data Engineer

Chantilly, VA · On-site

$108K - $147K/yr

... engineering, mathematics, etc.). * Experience with services including Apache Kafka, Apache Spark, and Prefect * Experience containerizing applications using Docker and deployments on Kubernetes

Senior Data Engineer

Mclean, VA · On-site

$125K - $165K/yr

We are looking for seasoned Senior Data Engineer to work with our team and our clients to develop ... Engineering with experience in tools such as: * Big data tools: Hadoop, Spark, Kafka, etc.

Senior Data Science Analyst

Richmond, VA · On-site

$85K - $107K/yr

Job Title: Data Engineer Primary location of assignment: Thomas F Farrell Building How many ... The Senior Data Engineer drives and implements data engineering best practices, ensures high ...

Senior Data Engineer

Mclean, VA · On-site

$125K - $165K/yr

Overview We are looking for seasoned Senior Data Engineer to work with our team and our clients to ... Engineering with experience in tools such as: * Big data tools: Hadoop, Spark, Kafka, etc.

Senior Data Engineer

Arlington, VA · Hybrid

$132K - $212K/yr

Title and Summary Senior Data Engineer Overview: Mastercard Services Technology is seeking a Senior ... engineering concepts and methodologies, including data modeling and database design to support ...

Senior Data science Engineer - Remote

Reston, VA · On-site +1

$110K - $149K/yr

... engineering teams that meet and anticipate business goals and strategies • Work with senior data ... science engineers in analyzing and understanding all aspects of data, including source, design ...

Senior Data Engineer

Chantilly, VA · On-site

$109K - $148K/yr

Overview VTG is seeking a talented and experienced Senior Data Engineer to serve as an integrator ... If you have a passion for data engineering and are ready to take on a challenge that marries ...

Senior Data Engineer

Herndon, VA · On-site

$109K - $148K/yr

Overview VTG is seeking a talented and experienced Senior Data Engineer to serve as an integrator ... If you have a passion for data engineering and are ready to take on a challenge that marries ...

Senior Data Scientist

Alexandria, VA · On-site

$131.30 - $237.35/hr

Senior Data Scientist Are you ready to thrive? Through training, teamwork, and exposure to ... Collaborate with multidisciplinary teams of analysts, engineers, and developers to solve complex ...

Overview We are looking for a seasoned Senior Data Engineer t o work with our team and our clients ... Engineering with experience in tools such as: * Big data tools: Hadoop, Spark, Kafka, etc.

We are looking for more than just a "Senior Data Engineer", but a technologist with excellent ... Data Engineering with experience in tools such as: * Big data tools: Databricks, Apache Spark ...

Senior Data Engineer

Mclean, VA · On-site

$125K - $165K/yr

Overview We are looking for a seasoned Senior Data Engineer t o work with our team and our clients ... Engineering with experience in tools such as: * Big data tools: Hadoop, Spark, Kafka, etc.

Showing results 41-60

Senior Data Engineering information

What is a senior data engineer?

A Senior Data Engineer is an experienced professional who designs, builds, and maintains scalable data systems and infrastructure within an organization. They are responsible for developing robust data pipelines, ensuring data quality, and optimizing data workflows to support analytics and business intelligence needs. Senior Data Engineers often mentor junior team members, collaborate with data scientists and analysts, and help establish best practices for data management. Their expertise enables organizations to efficiently store, process, and analyze large volumes of data for strategic decision-making.

What are the key skills and qualifications needed to thrive as a senior data engineer?

To thrive as a Senior Data Engineer, you need deep expertise in data modeling, ETL processes, programming (often Python, Java, or Scala), and a strong background in computer science or a related field. Proficiency with big data tools like Hadoop, Spark, SQL/NoSQL databases, and cloud platforms such as AWS, Azure, or GCP is typically required, along with relevant certifications. Strong problem-solving, communication, and leadership skills help you collaborate effectively and mentor junior engineers. These skills ensure reliable, scalable data infrastructure that supports business intelligence and decision-making across the organization.

How does a senior data engineer typically collaborate with data scientists and analysts on projects?

As a Senior Data Engineer, you will frequently work alongside data scientists and analysts to design, build, and optimize data pipelines and infrastructure that support complex analytics and machine learning initiatives. Collaboration often involves translating business or analytical requirements into scalable data solutions, ensuring data quality, and enabling efficient access to large datasets. Regular communication and agile teamwork are essential, as you'll often participate in cross-functional meetings to align on project goals, resolve data issues, and support the deployment of analytical models into production environments.

What is the difference between Senior Data Engineering vs Data Engineer?

AspectSenior Data EngineerData Engineer
Required CredentialsBachelor's or Master's in CS, experience in data pipelines, cloud platformsBachelor's in CS or related field, foundational data skills
Work EnvironmentDesigning complex data systems, mentoring juniors, optimizing pipelinesBuilding and maintaining data pipelines, data ingestion, basic ETL tasks
Employer & Industry UsageTech companies, finance, healthcare, large enterprisesStartups, mid-sized companies, tech firms

Senior Data Engineers typically have more experience, handle complex data architecture, and mentor teams, whereas Data Engineers focus on building and maintaining data pipelines. Both roles are essential in data-driven organizations, but Senior Data Engineers often take on leadership and strategic responsibilities.

What do senior data engineers do?

Senior data engineers design, build, and maintain large-scale data pipelines and infrastructure to support data collection, storage, and analysis. They often work with tools like SQL, Spark, and cloud platforms, and may lead data team projects while ensuring data quality and security.

What are the most commonly searched types of Data Engineering jobs in Virginia?

The most popular types of Data Engineering jobs in Virginia are:

What job categories do people searching Senior Data Engineering jobs in Virginia look for?

The top searched job categories for Senior Data Engineering jobs in Virginia are:

What cities in Virginia are hiring for Senior Data Engineering jobs?

Cities in Virginia with the most Senior Data Engineering job openings:

Infographic showing various Senior Data Engineering job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 19% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Senior Data Analyst

Data Intelligence LLC

Quantico, VA • On-site

$91K - $114K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 2 days ago


Job description

Data Intelligence LLC
Job Openings >> Senior Data Analyst
Senior Data Analyst
Summary
Title: Senior Data Analyst ID: 1592 Location: Quantico, VA
More about this job >
Description

Data Intelligence is seeking a highly skilled Senior Data Analyst to support the Naval Criminal Investigative Services IT at NCIS Headquarters in Quantico, VA. This role focuses on advanced data analytics, statistical modeling, and integration of data-driven solutions to enhance investigative and intelligence capabilities. The ideal candidate will bring deep expertise in data science methodologies, software integration, and scalable analytics architectures.

Key Responsibilities

  • Develop, implement, and maintain advanced data science and analytics solutions
  • Design and execute data analysis workflows using statistical and mathematical modeling techniques
  • Build and manage ETL pipelines for ingesting, transforming, and delivering structured and unstructured data
  • Develop and integrate APIs and data services to support enterprise analytics platforms
  • Perform software integration and testing, including development and execution of test plans and scripts
  • Utilize Python, R, and other scripting languages for data analysis and automation
  • Apply data mining, graph algorithms, and statistical techniques to support mission objectives
  • Work with SQL and NoSQL databases, search indexes, and web application servers
  • Leverage tools such as Jupyter Notebook, Pandas, NumPy, Requests, and related data science libraries
  • Create data visualizations and dashboards using spreadsheets and other tools
  • Collaborate with cross-functional teams to deliver scalable and secure analytics solutions

Required Qualifications

  • Master's degree in Data Science, Computer Science, Engineering, Mathematics, or related field
  • Minimum 10 years of professional experience in data science or advanced analytics
  • Experience with software integration or testing, including analyzing and implementing test plans and scripts
  • Strong experience with scripting languages such as Python and R
  • Experience with data science, data mining, statistics, and graph algorithms
  • Proficiency with SQL, NoSQL, API development, ETL pipelines, web application servers, and search indexing technologies
  • Experience using tools and frameworks such as:
    • Python, Jupyter Notebook, Pandas, NumPy, Requests
  • Strong foundation in complex mathematical and statistical concepts
  • Experience applying statistical analysis and operations research methodologies
  • Proficiency in data manipulation and visualization using spreadsheets and related tools

Certifications (Preferred)
One or more relevant industry certifications, such as:

  • CompTIA Cloud Essentials, CompTIA A+, CompTIA Security+
  • Microsoft Technical Associate (MTA), MCPD, MCSD, MCSE
  • Certificate of Cloud Security Knowledge (CCSK)
  • EMC Data Science Associate (EMCDSA)
  • Cloudera Certified Data Scientist (CCDH) / Certified Cloud Professional (CCP)
  • Certified Apache Hadoop Developer (HCAHD) / Cloudera Certified Administrator for Apache Hadoop (CCAH)
  • Certified Information Systems Security Professional (CISSP)

About Data Intelligence, LLC:

Data Intelligence, LLC (DI) is a small business that provides Information Technology System Development (Agile, DevSecOps, Cloud Platform support) Cybersecurity (RMF, Security Engineering, Cross Domain Solutions), Tactical Data Link Standards Development and Testing, and Logistics/Warehousing services to U.S. federal clients both CONUS and OCONUS. DI consistently demonstrates exceptional customer service, maintains an employee-centric culture, and delivers hands-on technical expertise to help our clients achieve their mission.

Since 2005, DI has successfully provided IT Systems Engineering, Software Development, Cybersecurity, and supporting solutions and services to customers that include the Department of Defense, Intelligence, and Federal Civilian clients. Current clients include the US Navy, Air Force, Army, Marine Corps, Coast Guard, National Geospatial-Intelligence Agency, Defense Logistics Agency, and The Department of Homeland Security. DI is headquartered in Marlton, New Jersey, with satellite offices in California, Maryland, Ohio, Pennsylvania, Virginia, and Washington, D.C.

Why you should join us:

Data Intelligence offers competitive salaries, comprehensive benefits, a team-oriented environment, and opportunities for advancement. Our excellent employee retention record reflects our employee focus. We work with Veteran's organization to proactively hire those who have served our country. We offer medical, dental and vision insurance, 401k, PTO and 11 paid holidays.

Apply Now
 
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