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Data Migration Assistant Jobs in Washington (NOW HIRING)

Hatch IT

Junior Data Engineer (DEA)

Arlington, VA · On-site

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 ...

Socket.dev

Senior Salesforce Data Engineer

Washington, DC · On-site

$160K - $175K/yr

Support and leads Salesforce data migration efforts by extracting, cleansing, transforming ... Develop and implement business processes, automation, tooling, and scripting that assist in data ...

Hesfp, Llc

Senior Salesforce Data Engineer

Washington, DC · On-site

$160K - $175K/yr

Support and leads Salesforce data migration efforts by extracting, cleansing, transforming ... Develop and implement business processes, automation, tooling, and scripting that assist in data ...

Leidos

Mid-Level Data Scientist

Springfield, VA · On-site

$73K - $132K/yr

Perform Data Conversion/migration * Assist with development and performance of automated Business Analytics. Basic Qualifications * Typically requires a BA degree and 4 - 8 years of prior relevant ...

Leidos

Mid-Level Data Scientist

Springfield, VA · On-site

$73K - $132K/yr

Perform Data Conversion/migration * Assist with development and performance of automated Business Analytics. Basic Qualifications * Typically requires a BA degree and 4 - 8 years of prior relevant ...

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Data Migration Assistant information

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How much do data migration assistant jobs pay per hour?

As of Sep 14, 2026, the average hourly pay for data migration assistant in Washington is $77.41, according to ZipRecruiter salary data. Most workers in this role earn between $69.09 and $91.44 per hour, depending on experience, location, and employer.

What does a data migration assistant do?

A Data Migration Assistant is responsible for helping organizations move data from one system or storage solution to another. This involves assessing data quality, planning and executing migration strategies, ensuring data integrity, and troubleshooting issues that arise during the process. They often work with IT teams to minimize downtime and ensure that critical data is transferred securely and accurately. Data Migration Assistants may also document procedures and provide support after the migration is complete.

What are the key skills and qualifications needed to thrive as a data migration assistant, and why are they important?

To thrive as a Data Migration Assistant, you need strong analytical skills, attention to detail, and a basic understanding of database structures and data management, often supported by a relevant degree or experience. Familiarity with data migration tools (such as SQL, ETL software, or Microsoft Data Migration Assistant), spreadsheet programs, and data validation systems is typically required. Excellent problem-solving abilities, effective communication, and organizational skills help you manage tasks and collaborate with team members. These skills ensure accurate, efficient data transfers and minimize risks of data loss or errors during migration projects.

What are some common challenges data migration assistants face during large-scale data transfers, and how are they typically addressed?

Data Migration Assistants often encounter challenges such as data incompatibility between old and new systems, maintaining data integrity, and minimizing downtime during transfers. To address these, they work closely with IT teams to perform thorough data mapping, conduct trial migrations, and validate data accuracy post-migration. Regular communication with stakeholders and using specialized migration tools also help ensure a smooth transition and timely issue resolution.

What is the difference between Data Migration Assistant vs Data Analyst?

AspectData Migration AssistantData Analyst
Required CredentialsCertifications in data management, SQL, and cloud platformsDegree in statistics, mathematics, or related field; often certifications in data analysis tools
Work EnvironmentIT teams, data migration projects, enterprise environmentsBusiness units, reporting teams, data visualization platforms
Employer & Industry UsageIT departments in tech, finance, healthcare; focus on data transferMarketing, finance, consulting; focus on data insights

The Data Migration Assistant primarily focuses on transferring and validating data between systems, requiring technical skills and certifications. In contrast, Data Analysts interpret data to provide insights, often working with visualization and reporting tools. While both roles handle data, their core functions and environments differ significantly.

What cities in Washington are hiring for Data Migration Assistant jobs?

Cities in Washington with the most Data Migration Assistant job openings:

Data Migration Assistant jobs near you

Data Engineer 2 - TS required - Washington DC area

Arlington, VA • On-site

Bow Wave LLC
See more jobs at Bow Wave LLCexternal

$80K - $85K/yr

Full-time

Posted 26 days ago

Job description

Education Requirement: Bachelor's Degree
Key Responsibilities:
• Assist in designing, developing, and maintaining basic ETL pipelines for ingesting, transforming, and loading datasets under the guidance of more experienced engineers.
• Support analysis of data structures, mappings, and data quality checks to identify issues or gaps.
• Help ensure data accuracy, consistency, and integrity by running validation queries, profiling datasets, and supporting data cleanup efforts.
• Contribute to data migration tasks, such as mapping source data to target systems and running migration scripts.
• Collaborate with analysts, data scientists, and business stakeholders to translate requirements into simple data transformations or pipeline updates.
• Monitor pipeline performance and assist in troubleshooting operational issues, escalating complex problems as needed.
• Help document data flows, transformation logic, and operational processes to support maintainability and knowledge sharing.
Required Skills & Experience
• 0-1 Years of Professional Experience
• Foundational exposure to data analysis, ETL concepts, or data migration activities-via coursework, internships, personal projects, or early professional experience.
• Working knowledge of SQL, including writing basic queries, joins, and aggregations.
• Familiarity with Python for data manipulation or automation tasks (introductory level acceptable).
• Introductory experience with ETL or workflow tools such as Apache Airflow, Talend, or similar platforms.
• Understanding of basic data warehousing concepts, such as staging, fact/dimension models, or schema structure.
• Exposure to cloud-based data storage or compute platforms (e.g., AWS S3/Redshift, Google BigQuery, Azure Storage).
Bonus / Preferred Qualifications
• Hands on or coursework experience with cloud ecosystems such as AWS, Azure, or Google Cloud Platform.
• Exposure to big data technologies (Hadoop, Spark, or distributed processing frameworks).
• Familiarity with data visualization tools (Power BI, Tableau, Looker) and version control systems such as Git.
• Experience building or supporting automated data workflows using orchestration tools or scheduled scripting.
Core Skills & Competencies
• Foundational ETL development and data pipeline understanding
• Data profiling and validation
• SQL and Python basics
• Understanding of data warehousing fundamentals
• Collaboration with analysts, engineers, and business stakeholders
• Problem solving mindset and willingness to learn
• Clear communication and strong documentation skills
• Adaptability in fast paced, evolving environments

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