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Data Engineer Data Analyst Jobs in Virginia (NOW HIRING)

Standard Calibrations, Inc

Data Engineer

Chesapeake, VA · On-site

$85K - $105K/yr

You will help define our technical foundation, accelerate analytics maturity, and enable teams ... Advocate for best practices in data management, engineering, and analytics. * Contribute to ...

Nalley Consulting

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 Intelligence LLC

Senior Data Analyst

Quantico, VA

$91K - $114K/yr

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 ...

Pwc

Data Governance- 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 Intelligence LLC

Senior Data Analyst

Quantico, VA · On-site

$91K - $114K/yr

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 ...

Palnar

Sr. Data Engineer

Mclean, VA · On-site

$116K - $139K/yr

Jenkins, Snowflake, Databricks, AWS, Lead software engineer/data engineer with experience in popular data tools such as Databricks and Snowflake. Have the ability to read and understand code in Scala ...

NALLEY CONSULTING

Data Engineer - Sr

Charlottesville, VA · On-site

$107K - $128K/yr

Responsibilities : • Conducting data analytics, data engineering, data mining, exploratory analysis, predicative analysis, and statistical analysis, and uses scientific techniques to correlate data ...

Redhorse Corporation

Data Engineer

Arlington, VA · On-site

$131K - $158K/yr

... analytics and DevOps pipeline for rapid delivery of functionality. • Maintain all operational aspects of data transfers, accounting for the security posture of the underlying infrastructure and ...

Hirekeyz Inc

Data Engineer

Fairfax, VA · On-site

$117K - $140K/yr

Data Engineer Location: Onsite in Fairfax, VA 3 days and in Washington, DC 2 days per week ... Architect and develop scalable data models, curated datasets, and analytics-ready structures for ...

IT America Inc

Data Engineer

Mclean, VA · On-site

$115K - $139K/yr

Data Engineer Location: Mclean, VA Duration: Long term contract Note: Looking for Ex-Capital One ... This role involves working closely with Capital One's data, analytics, and technology teams to ...

Spotsylvania County

Data Engineer

Spotsylvania, VA · On-site

$91K - $130K/yr

Prepares, organizes, and structures organizational data to support approved enterprise analytics ... Engineering, Data Science, or a related field; supplemented with at least five (5) years of ...

Cape Fox SS

Data Engineer

Fort Belvoir, VA · On-site

$185K - $220K/yr

Implement long-term data storage solutions and data models supporting analytics; ensure classified-environment data security. Coordinate with software developers for data integration; provide ...

ICF

Data Engineer (Databricks)

Reston, VA · Remote

$119K - $143K/yr

This role supports an enterprise initiative focused on platform infrastructure and analytics ... You'll be joining a cross-functional team of full stack developers, data engineers, and data ...

Engineering Square

Data Analyst

Richmond, VA · On-site

This team has 2 developers /2 analysts and 3rd role will be reporting to the HM, partner with the partnership team, daily stands up . 1. Data Ingestion & Missing File Reconciliation Monitor automated ...

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All JobsData Engineer Data Analyst JobsData Engineer Data Analyst Jobs in Virginia

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:
Data Engineer Data Analyst jobs near you
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

Standard Calibrations, Inc

Chesapeake, VA • On-site

$85K - $105K/yr

Full-time

Posted 4 days ago

Job description

Job Type
Full-time
Description
We are seeking a Data Engineer to help us build and scale the data infrastructure that powers decision making across Standard Calibrations. In this role, you will architect, implement, and maintain the systems and pipelines that transform raw data into clean, reliable, and analytics-ready datasets. You will also be working with these datasets to report on metrics for the business to base their decisions on.
You will work closely with our data, product, and engineering teams to design end-to-end data flows, integrate new data sources, and establish the foundation for long-term scalability. You will partner with stakeholders across the company - sales, finance, operations, and customer service - to ensure they have timely, trustworthy data and the tools to use it effectively.
In this role, you will directly influence how data is collected, structured, and leveraged across Standard Calibrations. You will help define our technical foundation, accelerate analytics maturity, and enable teams throughout the organization to make smarter, faster, data-driven decisions.
Requirements
Key Responsibilities:
Data Architecture & Modeling
  • Define and develop data architecture, schemas, ETL/ELT processes, and data models to develop and maintain our data pipelines and data warehouse within our Microsoft Fabric environment.
  • Ensure adherence to best practices in data modeling, scalability, governance, and performance optimization.
  • Develop standardized, well-documented semantic layers and curated datasets for analytics consumers. Ensure pipelines are resilient, observable, well-tested, and optimized for cost and performance

Infrastructure Ownership
  • Perform ongoing maintenance, tuning, optimization, and administration of SQL and Microsoft Fabric environments.
  • Monitor data pipeline and warehouse health ensuring availability, reliability, and data integrity.
  • Establish and maintain standards for version control, deployment, orchestration, and environment governance.

Cross-Functional Collaboration and Analytics
  • Partner with product teams to identify KPIs, define metrics, and develop measurement strategies. Develop and maintain Power BI data models and dashboards to visualize these metrics and provide self-service tools data analytics for the business.
  • Develop and maintain Crystal Reports alongside the business to support production needs and provide polished documents/statements for our customers.
  • Support daily, weekly, and monthly reporting needs across multiple departments.

Data Quality, Security & Governance
  • Implement and enforce data governance and security best practices, ensuring clean and lean data pipelines and datasets.
  • Troubleshoot pipeline failures, data quality issues, and system performance challenges.
  • Maintain detailed documentation for data requirements, data flows, schemas, and operational processes.

Innovation & Continuous Improvement
  • Evaluate new tools, frameworks, and architectures to enhance data engineering workflows.
  • Advocate for best practices in data management, engineering, and analytics.
  • Contribute to building a scalable, self-service analytics ecosystem that empowers teams across the organization.

Required Qualifications:
  • 5-7+ years of experience in data engineering, data analytics, or data development with a reporting focus.
  • Proficiency in Microsoft SQL, Microsoft PowerBI, and data migration tools such as Microsoft SSIS.
  • Proficiency in designing SAP Crystal Reports 2020 or newer.
  • Experience integrating data from various sources (e.g., relational DBs, NoSQL, APIs, external SaaS platforms).
  • Ability to design scalable, maintainable, and robust data pipelines.
  • Familiarity with project management workflows and working within change management guidelines.
  • Excellent communication skills and the ability to collaborate with technical and non-technical stakeholders.
  • Must be able to pass a pre-employment drug screen.

Preferred Qualifications:
  • Experience with Microsoft Fabric or similar transformation frameworks.
  • Familiarity with cloud environments, preferably Microsoft Azure.
  • Familiarity with Visual Studio 2019 or newer.
  • Background in analytics, business intelligence, and/or reporting such as SSRS.
  • Knowledge of data governance frameworks and security best practices.
  • Experience building data products or enabling self-service analytics tools.

Safety
It is SCI's policy to require safe operations and practices from all employees and to ensure safe working environments.
Appearance
  • Business casual

Physical Requirements
  • Ability to lift equipment weighing up to 40 pounds (with equipment, as needed)
  • Bending/squatting/kneeling/stooping/crouching
  • Able to sit or stand for long periods of time when needed
  • Ability to use and view a computer screen, keyboard, and mouse

AAP/EEO Statement
Standard Calibrations, Inc. is committed to equal employment opportunity. We recruit, employ, train, compensate, and promote without regard to race, religion, color, national origin, age, sex, disability, protected veteran status, or any other basis protected by applicable federal, state, or local law.
#IND123
Salary Description
$85,000 to $105,000, DOE

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