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Data Migration Jobs in Washington, DC (NOW HIRING)

Hatch IT

Data Engineer (DEA)

Arlington, VA · On-site

$131K - $158K/yr

This position will contribute to the modernization and migration of DEA legacy data while helping ensure data is accurate, consistent, secure, and prepared to support analytics and emerging AI/ML ...

Hatch IT

Data Engineer (DEA)

Arlington, VA · On-site

$131K - $158K/yr

This position will contribute to the modernization and migration of DEA legacy data while helping ensure data is accurate, consistent, secure, and prepared to support analytics and emerging AI/ML ...

Expression

Data Engineer (DEA)

Washington, DC · On-site

$129K - $155K/yr

Support large-scale migration of legacy data into the modernized DEA investigative and case management ecosystem. * Analyze complex data structures and source-to-target mappings to identify ...

Hatch IT

Data Engineer (DEA)

Arlington, VA · On-site

$125 - $150/hr

This position will contribute to the modernization and migration of DEA legacy data while helping ensure data is accurate, consistent, secure, and prepared to support analytics and emerging AI/ML ...

Hatch IT

Data Engineer (DEA)

Arlington, VA · On-site

$131K - $158K/yr

This position will contribute to the modernization and migration of DEA legacy data while helping ensure data is accurate, consistent, secure, and prepared to support analytics and emerging AI/ML ...

Expression Networks

Data Engineer (DEA)

Washington, DC · On-site

$125 - $150/hr

Support large-scale migration of legacy data into the modernized DEA investigative and case management ecosystem. * Analyze complex data structures and source-to-target mappings to identify ...

Expression Networks

Data Engineer (DEA)

Washington, DC · On-site

$129K - $155K/yr

Support large-scale migration of legacy data into the modernized DEA investigative and case management ecosystem. * Analyze complex data structures and source-to-target mappings to identify ...

Hirekeyz Inc

Data Engineer

Fairfax, VA · On-site

$117K - $140K/yr

The role includes leading complex data migration efforts, building scalable data pipelines, engaging directly with business users, and supporting enterprise O&M operations. This role requires strong ...

Meta Force Technology Staffing LLC

Data Modeler

Reston, VA · On-site

$57 - $73.75/hr

Candidates should be well-versed in both relational and dimensional modeling, with experience in AWS environments, specifically RDS and Redshift, and handling data migration projects involving ...

CMT Services, Inc.

Data Architect

Washington, DC · On-site +1

$72.25 - $93/hr

Migration strategy, plans, timelines, crosswalks, mapping rules, trial migrations, reconciliation (LEAD) * Data Governance & Metadata Management: Metadata standards, stewardship, lineage ...

CMT Services Inc

Data Architect

Washington, DC · On-site

$72.25 - $93/hr

Migration strategy, plans, timelines, crosswalks, mapping rules, trial migrations, reconciliation (LEAD) * Data Governance & Metadata Management: Metadata standards, stewardship, lineage ...

CMT Services Inc.

Data Architect

Washington, DC · On-site

$72.25 - $92.75/hr

Migration strategy, plans, timelines, crosswalks, mapping rules, trial migrations, reconciliation (LEAD) * Data Governance & Metadata Management: Metadata standards, stewardship, lineage ...

ECS

Senior Databricks Migration Engineer

Arlington, VA · On-site

$130K - $158K/yr

This role leads technical data migration efforts from legacy SQL systems, warehouses and servers to Databricks Lakehouse (Delta Lake), ensuring best practice Lakehouse design. This also includes ...

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All JobsData Migration JobsData Migration Jobs in Washington, DC

Data Migration information

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How much do data migration jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for data migration in Washington, DC is $45.87, according to ZipRecruiter salary data. Most workers in this role earn between $32.26 and $54.97 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 Washington, DC?

The most popular types of Data Migration jobs in Washington, DC are:

What are popular job titles related to Data Migration jobs in Washington, DC?

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

What job categories do people searching Data Migration jobs in Washington, DC look for?

The top searched job categories for Data Migration jobs in Washington, DC are:

Data Migration jobs near you
Infographic showing various Data Migration job openings in Washington, DC as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $95,419 per year, or $45.9 per hour.

Data Engineer (DEA)

Hatch IT

Arlington, VA • On-site

$131K - $158K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 12 days ago

Job description

hatch I.T. is partnering with Expression to find a Data Engineer. See details below:
About The Role:
Expression is seeking a Data Engineer to support the Drug Enforcement Administration (DEA) Investigative Case and Data Ecosystem (ICDE) modernization effort. This program is focused on modernizing DEA's case management capabilities and creating a centralized, secure, scalable ecosystem supporting law enforcement, investigative, forensic, and intelligence missions.
The Data Engineer will design, develop, and maintain scalable data pipelines supporting the ingestion, transformation, migration, validation, and integration of structured and unstructured data. This position will contribute to the modernization and migration of DEA legacy data while helping ensure data is accurate, consistent, secure, and prepared to support analytics and emerging AI/ML capabilities.
Location and Clearance:
  • Clearance: Top Secret (SCI) required.
  • 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:
  • Design, develop, and maintain scalable ETL pipelines for ingesting, transforming, and loading structured and unstructured datasets.
  • Support large-scale migration of legacy data into the modernized DEA investigative and case management ecosystem.
  • Analyze complex data structures and source-to-target mappings to identify opportunities for workflow optimization and automation.
  • Implement data cleaning, standardization, validation, classification, and transformation processes to improve data quality and consistency.
  • Monitor and ensure data accuracy, completeness, consistency, and integrity across systems and platforms.
  • Implement data migration strategies supporting application modernization and transitions across platforms and cloud environments.
  • Develop and execute data validation processes and checkpoints throughout data migration activities.
  • Collaborate with analysts, data scientists, developers, and business partners to translate requirements into effective data engineering solutions.
  • Support data interoperability and exchange across integrated systems.
  • Monitor pipeline performance, troubleshoot operational issues, and improve reliability, scalability, and efficiency.
  • Support data preparation and tagging activities needed for analytics and AI/ML use cases.
  • Participate in Agile development activities, including sprint planning, stand-ups, reviews, and retrospectives.
  • Document data flows, source-to-target mappings, transformation logic, validation processes, and operational procedures.

Qualifications:
  • Bachelor's degree on STEM fields and 2+ years of professional experience.
  • Hands-on experience with data analysis, ETL development, and data migration.
  • Proficiency in SQL, including complex queries, data transformations, and performance tuning.
  • Familiarity with Python for data manipulation, scripting, and workflow automation.
  • Experience with ETL frameworks or orchestration tools such as Apache Airflow, Talend, dbt, or similar technologies.
  • Understanding of data warehousing principles, including dimensional modeling and staging architectures.
  • Exposure to cloud-based data platforms such as AWS Redshift, Google BigQuery, Azure SQL, or similar environments.
  • Ability to perform data profiling, validation, troubleshooting, and root-cause analysis.
  • Ability to clearly document technical processes, data mappings, and transformation logic.
  • Ability to collaborate effectively with engineers, analysts, developers, and business stakeholders.

Preferred Qualifications:
  • Experience with AWS, Azure, or Google Cloud Platform.
  • Knowledge of big-data technologies such as Hadoop, Spark, or other distributed-processing frameworks.
  • Experience with data visualization tools such as Power BI, Tableau, or Looker.
  • Familiarity with Git or similar version-control systems.
  • Experience designing automated data workflows or integrating workflow-orchestration tools.
  • Experience supporting large-scale data migration or application-modernization initiatives.
  • Experience working in Agile development environments.
  • Experience supporting Federal Government programs or systems.

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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