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Remote Data Engineer Jobs in Long Beach, CA (NOW HIRING)

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 ... As a Data Migration Engineer on the client's migration delivery team, the role will own customer ...

Pivotal Health

Head of Data Engineering

Los Angeles, CA · Remote

$230K - $260K/yr

We view Data Engineering as a specialized discipline of Software Engineering, not a traditional ... Remote and hybrid flexibility varies by role and team, and is outlined in each . If you're excited ...

Sapta Global Inc

Big Data Developer

Signal Hill, CA · Remote

$56.50 - $73.50/hr

Remote Salary: $ 65/hrDuration: CTH 6 Months Start: Asap SGI is searching for a Power BI Report ... This global organization is expanding their data department. They want a Sr. Developer who is ...

Jobcertify

Senior Data Analyst (Remote)

Los Angeles, CA · On-site +1

$92K - $116K/yr

Preferred degree with a specialization in Statistics, Data Science, Analytics, Computer Science, Engineering, or another quantitative field or equivalent * Mastery of SQL, Python, and other scripting ...

NextDeavor Inc.

Principal Data Architect

Irvine, CA · Remote

$126K - $214K/yr

You will partner with product, engineering, analytics, ML, finance, risk, and customer-facing teams to translate needs into durable data designs. This is a hands-on, remote role where you will both ...

ZipRecruiter

Engineering Manager, Big Data

Los Angeles, CA · Remote

$190K - $240K/yr

As part of this effort, we're hiring an Engineering Manager to lead our Big Data Engineering team ... Employer-matched 401(k) plan #LI-Remote The US base salary range for this full-time position is ...

ZipRecruiter

Engineering Manager, Big Data

Los Angeles, CA · Remote

$190K - $240K/yr

As part of this effort, we're hiring an Engineering Manager to lead our Big Data Engineering team ... Employer-matched 401(k) plan #LI-Remote The US base salary range for this full-time position is ...

ZipRecruiter

Engineering Manager, Big Data

Los Angeles, CA · Remote

$190K - $240K/yr

As part of this effort, we're hiring an Engineering Manager to lead our Big Data Engineering team ... Employer-matched 401(k) plan #LI-Remote The US base salary range for this full-time position is ...

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Showing results 21-40

All JobsData Engineer JobsRemote Data Engineer JobsRemote Data Engineer Jobs in Long Beach, CA

Remote Data Engineer information

See Long Beach, CA salary details

$46.8K

$136.4K

$186.6K

How much do remote data engineer jobs pay per year?

As of Sep 5, 2026, the average yearly pay for remote data engineer in Long Beach, CA is $136,394.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,400.00 and $144,600.00 per year, depending on experience, location, and employer.

What is a remote data engineer?

A Remote Data Engineer is a professional who designs, builds, and maintains data pipelines, databases, and data processing systems while working from a location outside of a traditional office. They collaborate with data scientists, analysts, and other stakeholders to ensure data is collected, stored, and made accessible efficiently and securely. Remote Data Engineers use programming languages like Python or Scala, work with technologies such as SQL, Hadoop, or cloud platforms, and address challenges related to data quality and scalability. Their remote role allows them to work for companies regardless of geographic location, often relying on virtual collaboration tools to stay connected with their teams.

What does a remote data engineer do?

As a remote data engineer, you focus on collecting, storing, and organizing large amounts of information. You work from home to design, develop, and maintain systems for the mining, warehousing, and processing of data. A data engineer communicates with employers, clients, or other data professionals to assess the needs of the project and develop and implement solutions to meet those needs. Data engineers also take steps to manage current database architecture and make updates when needed. Remote engineers typically handle their responsibilities in a cloud-based environment using “big data” tools, such as Amazon Web Services (AWS) and SQL.

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

To thrive as a Remote Data Engineer, you need strong programming skills in languages like Python or Scala, expertise in SQL, data modeling, and a background in computer science or a related field. Familiarity with cloud platforms (such as AWS, Azure, or GCP), big data tools (like Hadoop and Spark), and certifications in cloud or data engineering are highly valued. Excellent problem-solving, communication, and self-management skills help remote data engineers collaborate effectively and stay productive in a distributed environment. These competencies ensure reliable data pipelines, scalable solutions, and seamless teamwork, which are critical for organizational success in data-driven projects.

How do remote data engineers typically collaborate with other team members across different time zones?

Remote Data Engineers often work with cross-functional teams, including data scientists, analysts, and software engineers, many of whom may be located in different parts of the world. Collaboration is usually facilitated through project management tools, version control platforms, and regular virtual meetings. It’s common to have a mix of synchronous check-ins and asynchronous communication, allowing for flexible scheduling and efficient handoffs. Strong written communication skills and proactive status updates are essential for staying aligned with team objectives and project deadlines.

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

AspectRemote Data EngineerRemote Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related; SQL, Python, cloud certificationsBachelor's in Statistics, Data Science, or related; SQL, Excel, visualization tools
Work EnvironmentCollaborates with data engineering teams, cloud platforms, big data toolsWorks with business teams, dashboards, reporting tools
Industry UsageTech, finance, healthcare, e-commerceMarketing, finance, retail, healthcare
Common Search IntentBuilding data pipelines, data infrastructureData reporting, insights, visualization

Remote Data Engineers focus on designing and maintaining data pipelines and infrastructure, often requiring programming and cloud skills. Remote Data Analysts interpret data, create reports, and provide insights using visualization tools. While both roles work with data, their responsibilities and skill sets differ, making each suited for different career paths within data teams.

Are remote data engineers still in demand?

Remote data engineers are currently in high demand due to the increasing reliance on data-driven decision making and cloud-based data platforms. Skills in SQL, Python, cloud services, and data pipeline tools are highly sought after, and many organizations continue to hire for remote roles to access a broader talent pool.

Can a remote data engineer work remotely?

Yes, remote data engineers can work remotely, as the role primarily involves managing data pipelines, databases, and cloud-based tools that can be accessed from anywhere with an internet connection. Many companies offer remote positions for data engineers, often requiring skills in SQL, Python, cloud platforms, and data architecture. However, some roles may require occasional on-site presence or specific certifications depending on the employer's policies.
More about Remote Data Engineer jobs

What are the most commonly searched types of Data Engineer jobs in Long Beach, CA?

The most popular types of Data Engineer jobs in Long Beach, CA are:

What are popular job titles related to Remote Data Engineer jobs in Long Beach, CA?

For Remote Data Engineer jobs in Long Beach, CA, the most frequently searched job titles are:

What job categories do people searching Remote Data Engineer jobs in Long Beach, CA look for?

The top searched job categories for Remote Data Engineer jobs in Long Beach, CA are:

What cities near Long Beach, CA are hiring for Remote Data Engineer jobs?

Cities near Long Beach, CA with the most Remote Data Engineer job openings:

Remote Data Engineer jobs near you
Infographic showing various Remote Data Engineer job openings in Long Beach, CA as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $136,394 per year, or $65.6 per hour.

Data Migration Engineer

AccelerateHC

Santa Monica, CA • On-site, Remote

$128K - $154K/yr

Full-time

Life, Retirement, PTO

Re-posted 4 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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