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Data Migration Remote Jobs in California (NOW HIRING)

Data Migration Engineer

Santa Monica, CA · On-site +1

$128K - $154K/yr

The company is fully remote across the US and Canada and operates with a transparent salary ... As a Data Migration Engineer on the client's migration delivery team, the role will own customer ...

Our client seeks an Veeva Project Lead Data Migration for a Full Time project in Remote .Below is the detailed requirement Job Title: Project Lead Veeva Data Migration Work location : Remote Duration ...

Data Engineer

Los Angeles, CA · On-site +1

$123K - $148K/yr

California - Remote Duration: 6+ Months Contract The Senior Data Engineer is responsible for ... Hands-on experience implementing data migration and data processing using Azure services: ADLS ...

New

Solutions Architect

San Francisco, CA · Remote

$74.25 - $97.75/hr

Austin TX, Denver CO, Philadelphia PA, Boston MA (fully remote) About The Role We are looking for a ... Guide customers through critical technical decisions: integration architecture, data migration ...

Solutions Architect

San Francisco, CA · Remote

$74.25 - $97.75/hr

Austin TX, Denver CO, Philadelphia PA, Boston MA (fully remote) About The Role We are looking for a ... Guide customers through critical technical decisions: integration architecture, data migration ...

Solutions Architect

San Francisco, CA · Remote

$74.25 - $97.75/hr

Austin TX, Denver CO, Philadelphia PA, Boston MA (fully remote) About The Role We are looking for a ... Guide customers through critical technical decisions: integration architecture, data migration ...

Director Master Data Management

Irvine, CA · On-site +1

$143K - $228K/yr

Remote Position Summary: The Director - MDM COE is responsible for establishing and leading the ... Oversee data migration planning and validation for new system deployments. Technology & Systems:

Director Master Data Management

Irvine, CA · On-site +1

$143K - $228K/yr

Remote Position Summary: The Director - MDM COE is responsible for establishing and leading the ... Oversee data migration planning and validation for new system deployments. Technology & Systems:

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Data Migration Remote information

What are Data Migration Remote jobs?

Data Migration Remote jobs involve transferring data from one system, database, or storage format to another while working remotely. Professionals in these roles handle tasks such as planning migration strategies, mapping data fields, ensuring data integrity, and troubleshooting issues that arise during the process. These positions often require strong technical skills, experience with databases, and familiarity with cloud platforms or migration tools. Remote data migration specialists collaborate with teams virtually, using communication and project management tools to coordinate efforts and ensure successful data transitions.

What are the key skills and qualifications needed to thrive as a Data Migration Specialist working remotely, and why are they important?

To thrive as a Data Migration Specialist working remotely, you need expertise in data analysis, database management, and proficiency with data migration methodologies, typically backed by a degree in computer science or IT. Familiarity with tools like SQL, ETL platforms (such as Informatica or Talend), and cloud migration systems is crucial, along with certifications like AWS Certified Data Analytics or Microsoft Azure Data Engineer. Strong problem-solving skills, attention to detail, and effective communication are essential soft skills, especially when collaborating with distributed teams. These skills ensure data integrity, seamless transitions between systems, and successful remote project execution.

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

AspectData Migration RemoteData Analyst Remote
Required CredentialsTypically requires SQL, ETL tools, and database management certificationsRequires SQL, Excel, and data visualization certifications
Work EnvironmentPrimarily involves database management, scripting, and technical tasksFocuses on data analysis, reporting, and insights generation
Employer & Industry UsageUsed in IT, data management, and software companies for system upgradesCommon in finance, marketing, and consulting firms for business insights

Data Migration Remote and Data Analyst Remote roles share some technical skills like SQL but differ in focus. Data Migration Remote emphasizes database management and system transfers, while Data Analyst Remote centers on analyzing data to inform business decisions. Both roles are vital in data-driven industries but serve distinct functions.

What are some common challenges faced during remote data migration projects, and how can they be addressed?

Remote data migration professionals often encounter challenges such as coordinating across distributed teams, ensuring data security during transfers, and managing unexpected data compatibility issues. Clear communication and regular virtual meetings are essential to stay aligned with team members and stakeholders. Utilizing secure transfer protocols and robust validation processes helps maintain data integrity and security. Proactively planning for potential roadblocks and documenting each step can significantly reduce project risks and ensure smoother migrations.
What are the most commonly searched types of Data Migration jobs in California? The most popular types of Data Migration jobs in California are:
What are popular job titles related to Data Migration Remote jobs in California? For Data Migration Remote jobs in California, the most frequently searched job titles are:
What job categories do people searching Data Migration Remote jobs in California look for? The top searched job categories for Data Migration Remote jobs in California are:
What cities in California are hiring for Data Migration Remote jobs? Cities in California with the most Data Migration Remote job openings:
Infographic showing various Data Migration Remote job openings in California as of July 2026, with employment types broken down into 62% Full Time, and 38% Contract. Highlights an 100% Remote job distribution.

Data Migration Engineer

AccelerateHC

Santa Monica, CA • On-site, Remote

$128K - $154K/yr

Full-time

Life, Retirement, PTO

Posted 10 days ago


Job description

About Our Client
Our client is a fast-growing, venture-backed software company building a modern operating system for communications service providers - a single platform managing billing, operations, and automation. The company is fully remote across the US and Canada and operates with a transparent salary philosophy, with compensation published internally under a structured evaluation framework.
About the Role
When a new customer joins the platform, their data has to come with them - out of legacy systems and into the client's product, accurately, completely, and on schedule. This role owns the technical execution of that work.
As a Data Migration Engineer on the client's migration delivery team, the role will own customer migrations end-to-end from the technical side: exploring legacy source systems, exporting data, transforming it into the platform's standard format, and driving it to a validated, production-ready state. The engineer works from business context and mapping rules defined by a customer-facing migration counterpart, and works daily in the company's internal migration tooling - improving it directly where possible and specifying larger needs for the platform engineering team to build.
This is a hands-on role for someone who enjoys turning messy, real-world data into something clean, repeatable, and trusted - and who is equally comfortable leading technical conversations directly with customers. The team is expanding significantly, so this hire will help shape how migrations are run going forward.
Key Responsibilities
  • Explore legacy source systems - databases, flat files, reports, APIs - to understand their structure, quality, and relationships in the context of the target data model.
  • Export source data across a range of access methods, including SQL, APIs, manual extracts, and database backups.
  • Transform exported data into the platform's standard format by authoring declarative, version-controlled mapping files that encode agreed business rules.
  • Execute migrations end-to-end on the internal migration platform: load, validate against target schemas, reconcile, and import to production.
  • Build and reuse mappings, templates, and validation rules so each migration is faster and more repeatable than the last.
  • Contribute engineering improvements to the migration tooling - validation rules, transforms, mapping updates - and raise larger needs to the platform engineering team.
  • Diagnose and resolve data discrepancies during dry runs, UAT, and post-cutover.
  • Document mapping specs, transformation logic, and data anomalies so migrations are auditable and repeatable.

What Success Looks Like
  • Source data lands in the platform accurately, completely, and on schedule - with discrepancies caught before go-live.
  • Transformation and validation work is reusable, so later migrations build on prior templates and rules.
  • Data issues are diagnosed and resolved quickly, keeping migrations on track.
  • Tooling gaps are either fixed directly or clearly specified for the platform engineering team.
  • Delivered data is trusted - accurate and well-documented enough to present to customers with confidence.
What the Right Person Brings
  • 3-5+ years in data engineering, data migration, ETL, or a similar hands-on data role.
  • Strong SQL and ETL fundamentals - treating extract → transform → load as a deliberate methodology: staging, repeatable and idempotent loads, full vs. incremental loads, and validation and reconciliation at every stage.
  • Hands-on data-manipulation fluency across SQL, Python, JSON, or similar - querying, profiling, reshaping data, and debugging unfamiliar source schemas.
  • Experience extracting data from varied sources: relational databases, APIs, flat files, and backups.
  • AWS experience - particularly Athena - and depth in SQL-based systems.
  • A background in high-volume, structured, or legacy data environments - for example banking, legal software, payroll, large CRMs, or enterprise SaaS with financial modules.
  • A proven ability to transform messy, poorly documented data into clean, structured output, with a solid grasp of data quality, validation, reconciliation, and cleansing.
  • Client-facing communication skills - comfortable leading technical conversations directly with customers.
  • Comfort in fast-paced, ambiguous environments with shifting source systems, and a bias toward reusability and automation over one-off scripts.
  • A Bachelor's degree in Computer Science, Information Systems, Data or Software Engineering, or a related field - or equivalent work experience.
Nice to Have
  • Familiarity with TypeScript/JavaScript (Node).
  • Familiarity with OSS/BSS, telecom, or billing/CRM data models (subscribers, services, billing accounts) - or a demonstrated ability to ramp quickly on unfamiliar domain models.
  • Comfort using AI-assisted tooling to accelerate data exploration, mapping, and validation.
  • Experience building or extending an internal data platform or migration tooling.
  • Exposure to cutover and go-live operations: delta loads, reconciliation, rollback.
  • Experience collaborating with a separate platform or product engineering team.
Compensation & Benefits
  • Our client offers competitive compensation aligned with experience and geography, under a transparent internal salary framework, along with:
  • A flexible 25-day vacation policy and flexible working hours.
  • Stock options.
  • Group insurance and telemedicine.
  • A life spending account and retirement savings plan.
  • 100% remote work, company-wide.
Equal Opportunity
Our client is an equal-opportunity employer. Accommodations are available on request throughout the hiring process. To learn more about this opportunity, please contact Accelerate HC.