1

Contract Data Engineering Jobs in Virginia (NOW HIRING)

We are seeking an experienced Data Engineering Manager with deep technical expertise and the ... Manage 3-5 individual contributors as well as contract and vendor resources. * Collaborate closely ...

We are seeking an experienced Data Engineering Manager with deep technical expertise and the ... Manage 3-5 individual contributors as well as contract and vendor resources. * Collaborate closely ...

We are seeking an experienced Data Engineering Manager with deep technical expertise and the ... Manage 3-5 individual contributors as well as contract and vendor resources. * Collaborate closely ...

... contracts. This position is contingent upon your ability to obtain/maintain a Secret security clearance In this role, you will: * Lead and manage data engineering teams responsible for the design ...

GCP Data Engineer

Henrico, VA · Hybrid

$103.90K - $124.80K/yr

... of data engineering best practices. • Ability to work in a mixed cloud environment. Basic Qualification : Additional Skills : Long-term contract with opportunity to convert FTE Background Check

Data Engineer

Herndon, VA · On-site

$117.70K - $141.40K/yr

You will leverage your understanding of data engineering principles, best practices, and ... However, it is not intended to be a contract, and we reserve the right to modify the at any time.

Data Engineer

Herndon, VA · On-site

$117.60K - $141.30K/yr

You will leverage your understanding of data engineering principles, best practices, and ... However, it is not intended to be a contract, and we reserve the right to modify the at any time.

Data Engineer

Glen Allen, VA · Remote

$50 - $53/hr

Yes //This role is a long term, almost 2 year contract. It is 100% remote. However, if someone ... data engineering processes and standards to business-intelligence, data, and analytics ...

Data Engineer

Herndon, VA · On-site

$117.70K - $141.40K/yr

You will leverage your understanding of data engineering principles, best practices, and ... However, it is not intended to be a contract, and we reserve the right to modify the at any time.

Data Engineer

Mclean, VA · On-site

$115.70K - $139K/yr

Mclean, VA Duration: Long term contract Note: Looking for Ex-Capital One Employee / Contractor About the Role: We are seeking an experienced Data Engineer to join our team supporting Capital One. The ...

$108.20K - $129.90K/yr

Contracts * CDD IDIQ * DOS COE BPA * GSA OASIS * GSA PSS * SEAPORT NxG * TEPS III * VECTOR * Case ... The ideal candidate will be an expert in data engineering, responsible for designing, building, and ...

next page

Showing results 1-20

Contract Data Engineering information

What are the key skills and qualifications needed to thrive as a Contract Data Engineer, and why are they important?

To thrive as a Contract Data Engineer, you need strong proficiency in data modeling, ETL processes, and programming languages such as Python or SQL, often supported by a degree in computer science or a related field. Familiarity with big data platforms (e.g., Hadoop, Spark), cloud services (AWS, Azure, GCP), and relevant certifications like Google Cloud Professional Data Engineer are typically required. Excellent problem-solving, adaptability, and effective communication are crucial soft skills in this role. These competencies enable efficient project delivery, seamless collaboration with stakeholders, and the ability to quickly adapt to new technical environments and client requirements.

What are some common challenges faced by contract data engineers and how can they be addressed?

Contract data engineers often face the challenge of quickly familiarizing themselves with a company's existing data infrastructure and processes. Since contracts are typically short-term, there is limited time to onboard, understand unique data pipelines, and build relationships with stakeholders. To address this, successful contract data engineers proactively communicate with team members, document their work thoroughly, and leverage their prior experience with a variety of tools and platforms. Flexibility and strong problem-solving skills are essential for adapting to new environments and delivering results efficiently.

What is contract data engineering?

Contract data engineering refers to hiring data engineers on a temporary or project basis, rather than as full-time employees. Contract data engineers are responsible for designing, building, and maintaining data pipelines, databases, and other infrastructure to support data analytics and business needs. Companies often hire contract data engineers to handle specific projects, scale up teams quickly, or bring in specialized skills for a limited time. This arrangement offers flexibility for both the company and the engineer, and is common in industries with fluctuating data workloads or short-term projects.

What is the difference between Contract Data Engineering vs Data Analyst?

AspectContract Data EngineeringData Analyst
Required SkillsSQL, Python, ETL, cloud platforms, data pipeline developmentSQL, Excel, data visualization, reporting tools
Work EnvironmentProject-based, technical teams, cloud or on-premises infrastructureBusiness units, reporting teams, often in office or remote
Industry UsageTech, finance, healthcare, retailMarketing, finance, healthcare, retail

Contract Data Engineers focus on building and maintaining data pipelines and infrastructure, requiring technical skills in programming and cloud platforms. Data Analysts interpret data, create reports, and visualize insights, often using different tools. While both roles work with data, Contract Data Engineering is more technical and infrastructure-oriented, whereas Data Analysts focus on data interpretation and business insights.

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 Contract Data Engineering jobs in Virginia look for? The top searched job categories for Contract Data Engineering jobs in Virginia are:
What cities in Virginia are hiring for Contract Data Engineering jobs? Cities in Virginia with the most Contract Data Engineering job openings:
Manager, Data Engineering

Manager, Data Engineering

Family Dollar

Chesapeake, VA • On-site

Other

This job post has expired today. Applications are no longer accepted.


Family Dollar rating

4.2

Company rating: 4.2 out of 10

Based on 1,086 frontline employees who took The Breakroom Quiz

682nd of 710 rated retailers


Job description

"Candidates must be authorized to work in the United States without the need for current or future visa sponsorship."

Summary of Position (Job Purpose)

This is an exciting opportunity to join the Data & Analytics Delivery Organization at Family Dollar. As the company undergoes major transformation, insights derived from data will play a critical role.

We are seeking an experienced Data Engineering Manager with deep technical expertise and the ability to be hands‑on. This leader will help transform how Family Dollar leverages internal & external data and ensure structured & unstructured data can be securely and efficiently utilized across the organization. You will collaborate closely with business users, data product owners, platform teams, enterprise architecture, data management, and business intelligence team to build high‑performing, scalable, and maintainable data capabilities using current and emerging cloud technologies.

This role is responsible for the design and execution of data engineering initiatives in partnership with the Director of Data Analytics & Reporting. The candidate must be highly collaborative, organized, and effective at communication and problem‑solving. Leadership experience managing individual contributors, contractors, and vendors is essential

Principal Duties and Responsibilities

  • Build, lead, and manage the Data Engineering team, driving rapid delivery of data solutions that enhance analytics and insights capabilities.

  • Manage 3–5 individual contributors as well as contract and vendor resources.

  • Collaborate closely with stakeholders across product, architecture, development, business intelligence, and executive teams.

  • Make recommendations for enterprise‑wide data, data onboarding, and self‑service analytics roadmap and architecture.

  • Design data pipelines and data models optimized for BigQuery performance, cost control, and reliability

  • Provide technical direction and solution guidance to ensure projects enable effective data availability and meet business requirements.

  • Serve as an escalation point for issues or roadblocks impacting delivery timelines.

  • Stay current on emerging trends and technologies in Data Warehousing and Analytics—particularly within retail.

  • Deliver solutions in a fast‑paced, dynamic, and agile environment.

  • Initiate proof‑of‑concepts (POCs) and prototypes to validate recommendations and test new approaches.

  • Act as the subject‑matter expert on data acquisition, ingestion, and information delivery.

  • Lead the creation of standards for data quality, lineage, governance, observability, and CI/CD processes across the data engineering organization

  • Collaborate with data product owners to define, prioritize, and execute the data engineering roadmap aligned with business objectives

  • Coach and mentor engineers, fostering a culture of technical excellence and continuous improvement

Minimum Requirements/Qualifications

  • Bachelor’s degree or higher.

  • 5+ years of experience working with large‑scale, enterprise data sets.

  • 2+ years managing full‑time employees, contract partners, or vendor resources.

  • Strong curiosity and a passion for identifying new ways to leverage data to creates business value.

  • Proven experience delivering end‑to‑end data solutions, with emphasis on enabling self‑service analytics across diverse user groups.

  • Experience working with end users to gather requirements and translate them into technical solutions from concept through implementation.

  • Self‑starter capable of independently delivering outcomes with minimal oversight.

  • Hands‑on experience working with structured and unstructured data and modern data technologies—including GCP, BigQuery, Dataflow, Python, etc.

  • Experience delivering data as a product as plus

  • Retail, supply chain, or e‑commerce experience is a plus but not required.

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

Supply Chain Support

Family Dollar


What Family Dollar employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom