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Data Migration Jobs in Virginia (NOW HIRING)

Junior Data Engineer (DEA)

Arlington, VA

$131K - $158K/yr

Support migration of legacy data into the modernized DEA investigative and case management ecosystem. * Assist with analyzing data structures, source-to-target mappings, and data-quality checks to ...

Junior Data Engineer (DEA)

Arlington, VA · On-site

$131K - $158K/yr

Support migration of legacy data into the modernized DEA investigative and case management ecosystem. * Assist with analyzing data structures, source-to-target mappings, and data-quality checks to ...

Salesforce Data Architect

Vienna, VA · On-site

$69.25 - $85.75/hr

Data Migration: Lead end-to-end data migration activities: source system inventory and profiling, field-level mapping to Salesforce objects, ETL job development with cleansing and transformation ...

Salesforce Data Architect

Vienna, VA · On-site

$160K - $170K/yr

Data Migration: Lead end-to-end data migration activities: source system inventory and profiling, field-level mapping to Salesforce objects, ETL job development with cleansing and transformation ...

Data Engineer

Mclean, VA

$115K - $139K/yr

Data Migration Support: Support phased data migration from legacy databases and ETL tools to Azure Databricks environments, including transformation documentation and data mapping. * Lakehouse & Data ...

Data Analyst - DataBricks

Herndon, VA · On-site

$110K - $140K/yr

Provides subject matter expertise in data architecture, data migration, analytics, visualization, and business intelligence while collaborating with stakeholders to deliver scalable, secure, and data ...

Data Analyst - DataBricks

Herndon, VA · On-site +1

$110K - $140K/yr

Provides subject matter expertise in data architecture, data migration, analytics, visualization, and business intelligence while collaborating with stakeholders to deliver scalable, secure, and data ...

Showing results 41-60

Data Migration information

See Virginia salary details

$14

$41

$66

How much do data migration jobs pay per hour?

As of Sep 15, 2026, the average hourly pay for data migration in Virginia is $41.55, according to ZipRecruiter salary data. Most workers in this role earn between $29.22 and $49.80 per hour, depending on experience, location, and employer.

What is a data migration?

A Data Migration job involves transferring data from one system, format, or storage location to another while ensuring its integrity, accuracy, and security. This process is common during system upgrades, cloud migrations, or database consolidations. Data migration specialists analyze source and target systems, map data fields, and implement validation procedures to prevent data loss or corruption. They may also clean and transform data to meet new system requirements. Effective data migration ensures minimal downtime and seamless transition for businesses.

What are the typical challenges faced by data migration professionals, and how can they be addressed?

Data Migration professionals often encounter challenges like data inconsistencies, legacy system incompatibility, and unanticipated downtime during migration projects. Careful planning, thorough testing, and strong documentation are essential to mitigate these risks. Working collaboratively with IT, business analysts, and end users helps anticipate potential issues and ensures all data requirements are met. A proactive approach to troubleshooting and continuous communication with stakeholders helps achieve successful, error-free migrations. As a Data Migration expert, you'll frequently navigate these situations to deliver smooth transitions for organizations undergoing digital transformation.

What are the key skills and qualifications needed to thrive in the data migration position, and why are they important?

To thrive in Data Migration, you need strong expertise in database management, data mapping, and ETL (Extract, Transform, Load) processes, often backed by a degree in computer science or a related field. Familiarity with tools like SQL, Microsoft SQL Server, Oracle, Informatica, or similar platforms, as well as certifications in data management or cloud technologies, is highly valued. Excellent problem-solving skills, attention to detail, and clear communication are key soft skills for success in this role. These capabilities are critical to ensuring data integrity, minimizing downtime, and facilitating smooth transitions during system upgrades or technology changes.

What are data migration jobs?

Data migration jobs involve transferring data from one system, format, or storage environment to another, often during system upgrades or consolidations. These roles require knowledge of databases, data structures, and migration tools, and may involve planning, testing, and validating data accuracy throughout the process.

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

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

What are popular job titles related to Data Migration jobs in Virginia?

For Data Migration jobs in Virginia, the most frequently searched job titles are:

What cities in Virginia are hiring for Data Migration jobs?

Cities in Virginia with the most Data Migration job openings:

Infographic showing various Data Migration job openings in Virginia as of September 2026, with employment types broken down into 58% Full Time, 5% Part Time, and 37% Contract. Highlights an 72% In-person, and 28% Remote job distribution, with an average salary of $86,431 per year, or $41.6 per hour.

Junior Data Engineer (DEA)

Arlington, VA

Hatch IT
11 - 50 employees

$131K - $158K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 19 days ago


Job description

hatch I.T. is partnering with Expression to find a Junior Data Engineer (DEA). See details below:

About The Role:

Expression is seeking a Junior Data Engineer to support the Drug Enforcement Administration (DEA) Investigative Case and Data Ecosystem (ICDE) modernization effort. The program is focused on replacing fragmented legacy investigative and case management capabilities with a centralized, secure, scalable, and integrated ecosystem.

Working alongside experienced data engineers and other technical team members, the Data Engineer 2 will support data ingestion, transformation, validation, migration, and integration activities. This is an early-career opportunity for an individual with foundational data engineering knowledge who is interested in developing hands-on experience supporting a large-scale Federal technology modernization program.

Clearance: Secret level required and willingness to pursuit TS/SCI.
Location: Arlington, VA. The program is primarily onsite at DEA Headquarters.

About the Company:

Founded in 1997 and headquartered in Washington DC, Expression provides data fusion, data analytics, software engineering, information technology, and electromagnetic spectrum management solutions to the U.S. Department of Defense, Department of State, and national security community. Expression's "Perpetual Innovation" culture focuses on creating immediate and sustainable value for their clients via agile delivery of tailored solutions built through constant engagement with their clients. Expression was ranked #1 on the Washington Technology 2018's Fast 50 list of fastest growing small business Government contractors and a Top 20 Big Data Solutions Provider by CIO Review.

Responsibilities:
  • Assist in designing, developing, and maintaining ETL pipelines for ingesting, transforming, and loading datasets under the guidance of more experienced engineers.
  • Support migration of legacy data into the modernized DEA investigative and case management ecosystem.
  • Assist with analyzing data structures, source-to-target mappings, and data-quality checks to identify issues or gaps.
  • Help ensure data accuracy, consistency, and integrity by executing validation queries, profiling datasets, and supporting data-cleaning efforts.
  • Contribute to data migration activities, including mapping source data to target systems and executing migration scripts.
  • Support data cleaning, standardization, classification, and tagging activities.
  • Collaborate with analysts, data scientists, engineers, and business stakeholders to translate requirements into data transformations and pipeline updates.
  • Monitor pipeline performance and assist with troubleshooting operational issues, escalating complex issues as appropriate.
  • Participate in validation activities and help document migration results and identified data-quality issues.
  • Participate in Agile ceremonies and support data engineering activities throughout development sprints.
  • Help document data flows, transformation logic, mappings, and operational processes to support maintainability and knowledge sharing.
Qualifications:
  • Bachelor's degree in STEM fields and 0-1 years of professional experience.
  • Foundational exposure to data analysis, ETL concepts, or data migration through coursework, internships, personal projects, or early professional experience.
  • Working knowledge of SQL, including basic queries, joins, and aggregations.
  • Familiarity with Python for data manipulation or automation tasks; introductory-level experience is acceptable.
  • Introductory experience with ETL or workflow tools such as Apache Airflow, Talend, or similar technologies.
  • Understanding of basic data warehousing concepts, including staging, fact/dimension models, or schema structures.
  • Exposure to cloud-based data storage or compute platforms such as AWS S3/Redshift, Google BigQuery, Azure Storage, or similar environments.
  • Foundational understanding of data profiling, validation, and data quality.
  • Strong communication and documentation skills.
  • Ability and willingness to learn in a fast-paced, evolving technical environment.
Preferred Qualifications:
  • Hands-on or coursework experience with AWS, Azure, or Google Cloud Platform.
  • Exposure to Hadoop, Spark, or other distributed-processing technologies.
  • Familiarity with Power BI, Tableau, Looker, or similar visualization tools.
  • Familiarity with Git or similar version-control systems.
  • Experience building or supporting automated data workflows using orchestration tools or scheduled scripting.
  • Exposure to Agile development methodologies.
  • Coursework, internship, project, or professional exposure to data migration or system-modernization activities.

Benefits:

Expression offers competitive salaries and benefits, such as:

  • 401k matching

  • PPO and HDHP medical/dental/vision insurance

  • Education reimbursement

  • Complimentary life insurance

  • Generous PTO and holiday leave

  • Onsite office gym access

  • Commuter Benefits Plan

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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