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Data Engineering Jobs in Hampton, VA (NOW HIRING)

Data Engineer

Chesapeake, VA · On-site

$95K - $106K/yr

You will be responsible for designing and building data engineering solutions on our cloud-based data platform. The role includes contributing to technical design, developing scalable data pipelines ...

Data Engineer

Chesapeake, VA · On-site

$95K - $106K/yr

You will be responsible for designing and building data engineering solutions on our cloudbased data platform. The role includes contributing to technical design, developing scalable data pipelines ...

Conduct data exploration, feature engineering, model training, validation, testing, and performance optimization activities. * Design and implement ETL/ELT processes supporting operational ...

Data Quality Engineer - VA

Norfolk, VA

$110K - $133K/yr

... engineering, data quality engineering, and expertise in cloud technologies in Azure, GCP or AWS. The ideal candidate will also have exposure to artificial intelligence (AI) concepts and tools.

Data Quality Engineer - VA

Norfolk, VA · On-site

$110K - $133K/yr

... engineering, data quality engineering, and expertise in cloud technologies in Azure, GCP or AWS. The ideal candidate will also have exposure to artificial intelligence (AI) concepts and tools.

Data Engineer

Chesapeake, VA · On-site

$85K - $105K/yr

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 ...

Palantir Data Engineer

Norfolk, VA · On-site

$61K - $141K/yr

You Have: * 3+ years of experience with data science, machine learning, data engineering, or data analytics * Experience with Palantir software * Experience with data connections and code repos or ...

Data Engineer

Chesapeake, VA · On-site

$85K - $105K/yr

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 ...

Data Engineer

Chesapeake, VA · On-site

$85K - $105K/yr

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 ...

Palantir Data Engineer

Norfolk, VA · On-site

$61K - $141K/yr

You Have: * 3+ years of experience with data science, machine learning, data engineering, or data analytics * Experience with Palantir sof tware * Experience with data connections and code repos or ...

Data Engineer

Virginia Beach, VA · On-site

$77K - $176K/yr

Turning that data into actionable insight requires strong engineering, thoughtful design, and scalable platforms. As a senior Data Engineer at Booz Allen, you will design and build data platforms and ...

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Showing results 1-20

Data Engineering information

See Hampton, VA salary details

$44.5K

$159.5K

$235.3K

How much do data engineering jobs pay per year?

As of Aug 22, 2026, the average yearly pay for data engineering in Hampton, VA is $159,480.00, according to ZipRecruiter salary data. Most workers in this role earn between $129,000.00 and $164,300.00 per year, depending on experience, location, and employer.

What is data engineering?

A Data Engineering job involves designing, building, and maintaining the infrastructure that enables efficient data collection, storage, and processing. Data Engineers develop pipelines to transform raw data into usable formats for analytics and machine learning. They work with databases, big data technologies, and cloud platforms to ensure data is accessible and reliable. Their role is crucial for organizations to make data-driven decisions and optimize business processes.

What does a data engineer do?

Data Engineers regularly design, build, and maintain scalable data pipelines to support analytics and business intelligence teams. Their daily tasks often involve working with large datasets, optimizing data storage, ensuring data integrity, and troubleshooting data-related issues. Collaboration with data scientists, analysts, and software engineers is common to align on data requirements and improve workflows. You may also participate in regular code reviews and contribute to the ongoing improvement of data infrastructure. This role is ideal for problem-solvers who enjoy working with both code and complex systems in a collaborative, fast-paced environment.

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

To thrive in Data Engineering, you need a solid background in programming (such as Python, Java, or Scala), data modeling, and database management, typically supported by a degree in computer science or a related field. Familiarity with ETL tools, cloud platforms like AWS or Azure, big data frameworks (e.g., Hadoop, Spark), and relevant certifications is highly valued. Strong problem-solving abilities, effective communication, and the ability to work collaboratively across teams are key soft skills for this role. These attributes are crucial for designing robust data pipelines, ensuring data quality, and enabling organizations to make data-driven decisions efficiently.

Are data engineers still in demand?

Data engineers are currently in high demand due to the increasing reliance on data-driven decision making and the growth of big data technologies. They typically need skills in SQL, cloud platforms, and tools like Apache Spark or Hadoop, and job opportunities are expected to remain strong as organizations continue to prioritize data infrastructure.

What are popular job titles related to Data Engineering jobs in Hampton, VA?

For Data Engineering jobs in Hampton, VA, the most frequently searched job titles are:

What job categories do people searching Data Engineering jobs in Hampton, VA look for?

The top searched job categories for Data Engineering jobs in Hampton, VA are:

What cities near Hampton, VA are hiring for Data Engineering jobs?

Cities near Hampton, VA with the most Data Engineering job openings:

Infographic showing various Data Engineering job openings in Hampton, VA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $159,480 per year, or $76.7 per hour.

Data Engineer

Dollar Tree

Chesapeake, VA • On-site

$95K - $106K/yr

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.


Dollar Tree rating

4.5

Company rating: 4.5 out of 10

Based on 2,527 frontline employees who took The Breakroom Quiz

37th of 39 rated national retailers


Job description

Candidates must be authorized to work in the United States without the need for current or future visa sponsorship.
This position is for full-time, onsite employment at the Family Dollar Chesapeake Store Support Center.
Summary of Position (Job Purpose)
This is an exciting opportunity to join the Data & Analytics Delivery Organization at Family Dollar. The company is undergoing a major transformation, and data-driven insights are playing a critical role in delivering the best possible customer experience.
We are seeking a Data Engineer who combines strong business acumen with hands-on technical expertise. This role requires someone who can partner with key stakeholders to understand business challenges and translate them into world-class technical solutions using modern cloud technologies. You will be responsible for designing and building data engineering solutions on our cloud-based data platform. The role includes contributing to technical design, developing scalable data pipelines, and supporting data engineering workloads.
Principal Duties and Responsibilities:
  • Collaborate closely with stakeholders across product, architecture, development, business intelligence, and executive teams.
  • Analyze data from multiple sources and develop solutions to integrate data into the enterprise data ecosystem
  • Develop automated pipelines to ingest and process structured and unstructured data using both batch and streaming patterns with cloud-native toolsets
  • Work with diverse datasets and technologies to understand cross-system correlations, patterns, and data relationships
  • Build, schedule, and monitor data pipeline orchestrations
  • Implement automation to optimize compute and storage usage across the cloud data platform
  • Develop and enhance end-to-end monitoring and observability capabilities for cloud-based data platforms
  • Support knowledge sharing, cross-training, and onboarding activities for team members
  • Provide clear and frequent updates to stakeholders on progress, risks, and deliverables
  • Participate in daily Scrum standups and contribute to an agile development environment
  • Stay current on emerging trends and technologies in Data Warehousing and Analytics-particularly within retail.

Minimum Requirements/Qualifications:
  • Bachelor's degree or higher in Computer Science, Engineering, or a related field.
  • 3+ years of experience in data engineering or data analytics.
  • Strong understanding of RDBMS concepts with 3+ years of advanced SQL and data analysis experience.
  • 2+ years of experience with Linux command-line tools and scripting.
  • 3+ years of Python development experience with expert-level proficiency.
  • 1+ year working with Big Data processing frameworks and tools.
  • Hands-on experience with GCP services such as Cloud Storage, Dataflow, Pub/Sub, and BigQuery.
  • Strong proficiency in SQL, Python, Linux shell scripting, and data modeling.
  • Solid knowledge of data modeling techniques
  • Ability to analyze source systems and transform data to meet target data model requirements.
  • Experience working with large-scale data warehouses (10+ TB) and high-volume ETL/ELT workloads (50M+ records/day).
  • Demonstrated experience delivering end-to-end technical solutions within enterprise BI/Data Warehousing environments.
  • Experience with performance tuning and optimization across the data delivery pipeline-from ingestion through analytics.
  • Experience migrating data of various formats (JSON, delimited files, APIs, real-time feeds) into Google BigQuery is strongly preferred.
  • Experience working in a Scrum/Agile environment and tools such as Jira.
  • Nice to have:
    • Experience working with a data science workbench or ML development environment.
    • Familiarity with data engineering aspects of machine learning pipelines (e.g., data prep, splitting, feature engineering, scoring)

"Projected Salary Range: $95,000 - $106,500".
This is not to be considered a complete list of job duties, as they may be amended or added to as needed.
Family Dollar is an equal opportunity employer and committed to recruiting, hiring, training, and promoting qualified people of all backgrounds, and make all employment decisions without regard to any protected status. We are committed to complying with the Americans with Disabilities Act (ADA) and providing reasonable accommodations to qualified individuals with disabilities.
Full time
510 Volvo Parkway,Chesapeake,Virginia 23320
Transportation
Family Dollar

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About Dollar Tree

Sourced by ZipRecruiter

With Dollar Tree and Family Dollar, we put value front and center for our customers. We do this by providing our customers with quality merchandise, amazing values, convenience, and a fun shopping experience. Whether you’re looking for the thrill of the hunt at Dollar Tree or shopping for your favorite brands at Family Dollar, you’re sure to find savings on a great selection of merchandise in our stores.

Industry

Retail

Company size

10,000+ Employees

Headquarters location

Chesapeake, VA, US