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Data Software Engineer Remote Jobs in California

AccelerateHC

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 ... A Bachelor's degree in Computer Science, Information Systems, Data or Software Engineering, or a ...

10a Labs

Data Engineer, Web Scraping

San Francisco, CA · Remote

$105K - $125K/yr

Collaborate with ML engineers, other data engineers, and software developers to deliver actionable ... Fully remote, U.S.-based * Health Benefits: Comprehensive health, dental, and vision coverage

Golden State

Data Engineer

San Francisco, CA · Remote

$165K/yr

This is a full-time remote position. Key Responsibilities * Developing batch and streaming / event ... Experience with orchestration software like Airflow or Dagster * Experience with transformation ...

Golden State

Data Engineer

San Francisco, CA · Remote

$165K/yr

This is a full-time remote position. Key Responsibilities * Developing batch and streaming / event ... Experience with orchestration software like Airflow or Dagster * Experience with transformation ...

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Data Software Engineer Remote information

See California salary details

$43.9K

$128K

$175.2K

How much do data software engineer remote jobs pay per year?

As of Aug 6, 2026, the average yearly pay for data software engineer remote in California is $128,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,000.00 and $135,700.00 per year, depending on experience, location, and employer.
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Data Migration Engineer

AccelerateHC

Santa Monica, CA • On-site, Remote

$128K - $154K/yr

Full-time

Life, Retirement, PTO

Re-posted 5 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.

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