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Data Engineer Data Analyst Jobs in Virginia (NOW HIRING)

Data Engineer

Springfield, VA · On-site

$110K - $165K/yr

Everforth ECS seeks a Data Engineer to support a project team responsible for managing an ... Complete complex data analysis, catering results to the customer in a holistic and easy-to ...

Construct and document analytic datasets using SAS, SQL, R, or other programming tools. * Respond to data requests adhering to department standards and procedures. * Support compliance monitoring and ...

Data Engineer

Chantilly, VA

$117K - $140K/yr

This project regularly needs various types of people - Data Scientists, Data / ETL Engineers, Analytic Software Engineers, Full Stack Developers, UI/UX Developers, and AWS/DevOps experts. We're ...

Data Engineer with Security Clearance

Reston, VA · On-site

$119K - $143K/yr

At Data Machines we leverage data analytics, DevSecOps, machine intelligence, and data science to engineer solutions for our Federal government, defense, and commercial sponsors to solve real-world ...

Partner with data engineers/data architects to support data definitions, lineage, and reporting consistency. Required qualifications to be successful in this role: Bachelor's degree in Analytics ...

Partner with data engineers/data architects to support data definitions, lineage, and reporting consistency. Required qualifications to be successful in this role: Bachelor's degree in Analytics ...

Data Strategy-Manager

Richmond, VA · On-site

$99K - $232K/yr

... Analytics / Solutions Architect - Azure Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified ...

Data Warehouse Engineer LOCATION Tysons, VA 22182 CLEARANCE TS/SCI Full Poly (Please note this ... analytics and reporting. You will be responsible for implementing ETL processes, maintaining data ...

Big Data Engineer

Tysons, VA · On-site

$56 - $74/hr

Big Data Engineer LOCATION Tysons, VA 22182 CLEARANCE TS/SCI Full Poly (Please note this position ... and analytics needs. You will work closely with cross-functional teams to handle large-scale ...

Big Data Engineer

Reston, VA · On-site

$58 - $76.75/hr

Big Data Engineer LOCATION Reston, VA 20190 CLEARANCE TS/SCI Full Poly (Please note this position ... and analytics needs. You will work closely with cross-functional teams to handle large-scale ...

Big Data Engineer

Chantilly, VA · On-site

$57.50 - $76.25/hr

Big Data Engineer LOCATION Chantilly, VA 20151 CLEARANCE TS/SCI Full Poly (Please note this ... and analytics needs. You will work closely with cross-functional teams to handle large-scale ...

Data Warehouse Engineer LOCATION Chantilly, VA 20151 CLEARANCE TS/SCI Full Poly (Please note this ... analytics and reporting. You will be responsible for implementing ETL processes, maintaining data ...

Data Warehouse Engineer LOCATION Reston, VA 20190 CLEARANCE TS/SCI Full Poly (Please note this ... analytics and reporting. You will be responsible for implementing ETL processes, maintaining data ...

Data Engineer

Chesapeake, VA · On-site

$85K - $105K/yr

Description We are seeking a Data Engineer to help us build and scale the data infrastructure that ... You will help define our technical foundation, accelerate analytics maturity, and enable teams ...

New

Data Engineer - Sr

Charlottesville, VA · On-site

$109K - $131K/yr

Conducting data analytics, data engineering, data mining, exploratory analysis, predicative analysis, and statistical analysis, and uses scientific techniques to correlate data into graphical ...

Data Engineer

Chesapeake, VA · On-site

$85K - $105K/yr

We are seeking a Data Engineer to help us build and scale the data infrastructure that powers ... You will help define our technical foundation, accelerate analytics maturity, and enable teams ...

New

Showing results 21-40

Data Engineer Data Analyst information

How do data engineer data analysts typically collaborate with data scientists and business stakeholders?

Data Engineer Data Analysts play a crucial role in bridging the technical and analytical needs of an organization. They work closely with data scientists by preparing, cleaning, and structuring large datasets to enable advanced analytics and modeling. Additionally, they collaborate with business stakeholders to understand data requirements, translate business questions into technical solutions, and deliver actionable insights. Effective communication and teamwork are essential, as the role often involves facilitating data access, ensuring data quality, and aligning data projects with business objectives.

What are the key skills and qualifications needed to thrive as a data engineer data analyst, and why are they important?

To thrive as a Data Engineer/Data Analyst, you need strong analytical and statistical skills, proficiency in programming languages like Python or SQL, and typically a degree in computer science, statistics, or a related field. Familiarity with data warehousing tools, ETL processes, and experience with platforms like Hadoop, Spark, or Tableau is often required. Attention to detail, problem-solving ability, and effective communication are crucial soft skills for interpreting data and sharing insights with stakeholders. These competencies ensure accurate data management, insightful analysis, and support data-driven decision-making within organizations.

What is the difference between Data Engineer Data Analyst vs Data Scientist?

AspectData EngineerData Scientist
Required CredentialsBachelor's in CS, Engineering, or related; often certifications in cloud or data toolsBachelor's or higher in CS, Statistics, or related; often advanced degrees
Work EnvironmentBuilds data pipelines, manages databases, ensures data flowAnalyzes data, creates models, interprets insights
Employer & Industry UsageTech companies, finance, healthcare, e-commerceResearch firms, tech, finance, marketing

Data Engineers focus on developing and maintaining data infrastructure, while Data Scientists analyze data to generate insights. Both roles require strong technical skills, but Data Engineers are more involved in data architecture, whereas Data Scientists focus on modeling and analysis.

What are popular job titles related to Data Engineer Data Analyst jobs in Virginia? For Data Engineer Data Analyst jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Data Engineer Data Analyst jobs in Virginia look for? The top searched job categories for Data Engineer Data Analyst jobs in Virginia are:
What cities in Virginia are hiring for Data Engineer Data Analyst jobs? Cities in Virginia with the most Data Engineer Data Analyst job openings:
Infographic showing various Data Engineer Data Analyst job openings in Virginia as of August 2026, with employment types broken down into 78% Full Time, and 22% Contract. Highlights an 82% In-person, 7% Hybrid, and 11% Remote job distribution.

Data Engineer

ECS

Springfield, VA • On-site

$110K - $165K/yr

Full-time

Posted 25 days ago


Job description

Everforth ECS is seeking a Data Engineer to work in a hybrid remote/onsite capacity, with minimum of 3 business days onsite with the potential for up to 5 days onsite primarily at our Springfield, VA customer SCIF site, and/or at our Fairfax, VA company office.
Everforth ECS seeks a Data Engineer to support a project team responsible for managing an Artificial Intelligence initiative. The work is performed in a multidisciplinary and collaborative team environment. This role will report to a project lead and will focus on developing and maintaining data pipelines, as well as performing data analysis, to support Artificial Intelligence development across multiple classification levels and environments.
Position Responsibilities:
  • Participate in technical exchange meetings and discussions with our customers, vendors, and internal team to help coordinate, prioritize, and track datasets supporting AI efforts.
  • Work in person at the required office and, as needed, classified locations with team members and customer stakeholders.
  • Help cultivate an environment that promotes customer service, excellence, innovation, collaboration, and teamwork.
  • Develop and document data workflows, assisting stakeholders with data management tasks, procedures, and best practices across multiple environments and classification levels.
  • Extract, transform, and load data to prepare for ingest into Machine Learning (ML) development environments.
  • Coordinate with the Program Manager and Data Team to determine data requirements and to serve as the project data advocate.
  • Independently identify, document, and address technical challenges.
  • Identify, design, and implement internal process improvements including optimizing data delivery and automating manual processes.
  • Complete complex data analysis, catering results to the customer in a holistic and easy-to-understand way.

We are a rapidly growing company that considers our employees and teams to be our most important assets. Our team environment provides opportunities for growth to individuals who are motivated to excel. Our growing program works with the most forward-leaning technologies and extraordinary customers who are thought and action leaders within the AI/ML domain. We offer a highly competitive compensation and benefits package to the right person for this key position.
Salary Range: $110,000 - $165,000
General Description of Benefits
  • Must be a US Citizen
  • Ability to obtain a TS/SCI Clearance W/ Poly
  • A Bachelor's Degree in Data Engineering, Data Science, Information Management, Computer Science, Engineering, or an equivalent field
  • 2-8+ years of working experience in one of the related areas: Data Engineering, Computer Engineering, Computer Science, or Data Science
  • Demonstrated advanced proficiency with Python, Pyspark, and/or SQL
  • Demonstrated advanced proficiency with parsing data in different formats for ML applications
  • Demonstrated advanced experience with text parsing
  • Demonstrated advanced proficiency of database principles and technology
  • Demonstrated advanced data processing and data transformation skills with the ability to build, optimize, and automate data pipelines
  • Demonstrated ability to perform root cause analysis on external and internal processes to identify opportunities for improvement and answer questions
  • Excellent communication skills, analytical skills, and problem-solving abilities