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Remote Data Engineer Jobs in Oxnard, CA (NOW HIRING)

Maverick Payments

Data Warehouse Engineer

Calabasas, CA · On-site +1

$110K - $125K/yr

The Data Warehouse Engineer is a hands-on role responsible for designing, building, and operating ... Pay Range : $110K- 125K This position will consider remote work for candidates in the following ...

Saransh Inc

Salesforce Engineer

Woodland Hills, CA · Remote

$56.75 - $75.25/hr

Atlanta, GA / Woodland Hills, CA (3 days a week onsite is required) / Remote also fine Job Type ... Data Modeling specific to Salesforce * Must have strong hands-on experience in OmniStudio ...

Teradyne

Senior Mechanical Engineer

Agoura Hills, CA · On-site +1

$121K - $214K/yr

Also, the ability to communicate effectively in a remote environment is a key requirement. Finally ... data for new and existing signal delivery designs. * Create and maintain part numbers, bills of ...

Amgen, Inc.

Sr Machine Learning Engineer

Thousand Oaks, CA · On-site +1

$109K - $150K/yr

Collaborate with data scientists to develop, train, and evaluate machine learning models. * Build ... Flexible work models, including remote and hybrid work arrangements, where possible Apply now and ...

Amgen

Sr Machine Learning Engineer

Thousand Oaks, CA · On-site +1

$128K - $169K/yr

Collaborate with data scientists to develop, train, and evaluate machine learning models. * Build ... Flexible work models, including remote and hybrid work arrangements, where possible Apply now and ...

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All JobsData Engineer JobsRemote Data Engineer JobsRemote Data Engineer Jobs in Oxnard, CA

Remote Data Engineer information

See Oxnard, CA salary details

$47.1K

$137.4K

$188K

How much do remote data engineer jobs pay per year?

As of Jul 26, 2026, the average yearly pay for remote data engineer in Oxnard, CA is $137,367.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,300.00 and $145,600.00 per year, depending on experience, location, and employer.

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 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.

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 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 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.
More about Remote Data Engineer jobs
What are the most commonly searched types of Data Engineer jobs in Oxnard, CA? The most popular types of Data Engineer jobs in Oxnard, CA are:
What are popular job titles related to Remote Data Engineer jobs in Oxnard, CA? For Remote Data Engineer jobs in Oxnard, CA, the most frequently searched job titles are:
What job categories do people searching Remote Data Engineer jobs in Oxnard, CA look for? The top searched job categories for Remote Data Engineer jobs in Oxnard, CA are:
What cities near Oxnard, CA are hiring for Remote Data Engineer jobs? Cities near Oxnard, CA with the most Remote Data Engineer job openings:
Remote Data Engineer jobs near you
Infographic showing various Remote Data Engineer job openings in Oxnard, CA as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $137,367 per year, or $66 per hour.
Data Warehouse Engineer

Data Warehouse Engineer

Maverick Payments

Calabasas, CA • On-site, Remote

$110K - $125K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 29 days ago

Job description

Exciting Opportunities at Maverick Payments!
Join our fast-paced, growing company and further your career with Maverick Payments, where you can thrive, your ideas are valued, and your colleagues feel more like family than coworkers!
About Payments:
Maverick Payments is a family-owned and privately held full-service payment provider. Located in Calabasas, California, Maverick has created innovative technology designed for sales organizations, such as ISO's and ISV's, looking to monetize payments by reselling our white-labeled payments stack. Our payment products include merchant acquiring services, a proprietary gateway, ACH processing, fraud & chargeback tools, analytics, and other value-add services. Maverick's team includes underwriting, risk management, compliance & legal, technology & product development, on-boarding, customer support, information technology, and more.
About the Position:
The Data Warehouse Engineer is a hands-on role responsible for designing, building, and operating Maverick's Azure data platform. Reporting to the Data Team Director, you will partner with external implementation resources in Phase 1 and then own daily operations, reliability, and continuous improvement of the platform. The role balances operational excellence (pipeline uptime, SLAs, observability) with platform development (new data pipelines, sponsor bank integrations, performance/cost optimization). Your work enables the Maverick organization to access reliable, timely, and governed data for analytics, BI, and regulatory reporting.
  • Monitor health and SLAs via Azure Monitor/Log Analytics, Synapse and Data Factory dashboards; respond to critical pipeline incidents within 2 hours.
  • Triage and resolve data integration failures (sponsor bank files, CRM/ITSM connectors, API ingestions), distinguishing data quality vs. pipeline vs. infrastructure issues; escalate when needed.
  • Perform root-cause analysis (RCA) and drive corrective actions; maintain and conduct post-mortems.
  • Support users with ad-hoc SQL, Power BI connectivity, refresh scheduling, and semantic model best practices.
  • Track pipeline performance and data freshness, optimize query runtimes, memory, and SLA compliance.
  • Design and build Azure Data Factory pipelines (ETL/ELT) for batch and incremental ingestion using parameterized, reusable templates.
  • Write and optimize T-SQL in Synapse SQL pools for reliability and maintainability.
  • Implement incremental loads, CDC (Change Data Capture), idempotent retries, and robust error handling.
  • Onboard new sponsor banks and data sources against the Director's roadmap; standardize patterns for file-based (CSV/JSON/Parquet/Delta) and API-based data.
  • Strengthen data quality and observability with validation checks, reconciliations, and anomaly detection
  • Optimize Synapse cost and performance: distribution strategies (hash/round-robin/replicated), partitioning, indexing and statistics, workload management, scale up/down and pause/resume patterns, and archival/retention strategies.
  • Collaborate with vendors during Phase 1; participate in code reviews, document architecture decisions (ADRs) and platform standards.
  • Integrate Microsoft Purview for data lineage/catalog for transformation governance where appropriate.
  • Create and maintain runbooks ("respond to X failure"), troubleshooting guides, and common query patterns.
  • Document pipeline architecture, data lineage, schemas, and transformation logic for knowledge transfer.
  • Maintain a data dictionary/metadata (descriptions, refresh cadence, PII tags, sensitivity labels).
  • Train internal stakeholders on basic SQL and data request procedures; contribute to architecture diagrams.
  • Assist with PCI-DSS and SOC 2 reviews (encryption at rest/in transit, RBAC/ACLs, Key Vault, Private Link, Managed Identity, least privilege).
  • Stay current on Azure/Synapse best practices, security updates, and cost optimization.
  • Attend vendor training in Phase 1; pursue DP-203, DP-300 (preferred).
  • Share knowledge with the Director and future data science hires via code examples, patterns, and mentoring.
  • Deliver specialized data engineering enhancements as directed by the Data Team Director.
  • Support ad-hoc analysis, process improvements, and cross-functional analytics.
  • Evaluate emerging Azure services and tooling for platform improvement.
  • Other duties as assigned.
Qualifications:
  • 3+ years in data engineering/data warehousing or related technical roles.
  • Advanced SQL/T-SQL: complex queries, stored procedures, views, indexing, and performance tuning.
  • Hands-on Azure: Data Factory, Synapse SQL, Data Lake Gen2, Key Vault (or strong equivalents: Snowflake, BigQuery, Redshift).
  • Proven delivery of ETL/ELT for file-based (CSV/JSON/Parquet) and API data sources.
  • Strong data modeling: star/snowflake, dimensional modeling, fact/dimension tables, SCDs (Type 1/2).
  • Git proficiency and CI/CD concepts for infra/pipeline deployment (Azure DevOps/GitHub Actions; ARM/Bicep/Terraform a plus).
  • Demonstrated troubleshooting and RCA across complex systems; able to drive solutions independently.
  • Experience supporting BI/analytics consumers (Power BI preferred; semantic models, incremental refresh, gateway basics)
  • Advanced SQL/T-SQL; performance tuning; query optimization; indexing; statistics; partitioning; workload management
  • Azure Data Factory; pipeline orchestration; triggers; parameterized reusable templates; error handling; retries; idempotency
  • Azure Synapse (dedicated/serverless SQL pools); PolyBase/COPY INTO; distribution strategies (hash/round-robin/replicate)
  • Azure Data Lake Gen2; Parquet/Delta; hierarchical folder structures; retention/archival; lifecycle management
  • Incremental loads; CDC; SCD Type 2; watermarking; late-arriving data; schema evolution
  • Data modeling (Kimball); dimensional schemas; semantic layers; Power BI model optimization
  • Observability & reliability: Azure Monitor, Log Analytics, KQL, alerts, dashboards; SLA/SLO adherence, post-mortems
  • Security & governance: RBAC/ACLs, Key Vault, Managed Identity, Private Endpoints/Virtual Networks, data masking, tokenization, Purview lineage/catalog
  • DevOps: Git, pull requests, code reviews; CI/CD (Azure DevOps/GitHub Actions); IaC (ARM/Bicep/Terraform)
  • Cross-functional communication; clear documentation; vendor collaboration; prioritization by business impact; ownership mindset
What We Offer:
  • Competitive Salary, Bonuses and Incentives.
  • Comprehensive employer sponsored health, vision, and dental insurance programs.
  • Paid time off, Paid Sick and Paid Holidays.
  • 401K plan with up to a 3% matching contribution.
  • Commitment to Career Development and Advancement.
  • Vibrant Office Culture, Team Building, Birthdays, Work Anniversaries, Snacks, and more!
Pay Range: $110K- 125K
This position will consider remote work for candidates in the following states: AZ, CA (outside Los Angeles), CO, FL, GA, ID, IN, KS, KY MA, MD, ME, NE, NC, NJ, NV, NY, OH, OR, PA, TN, TX, UT, VA, WA
Maverick Payments is an Equal Opportunity Employer.
Pay Transparency Notice: At Maverick Payments, we believe in openness, honesty, and empowering our candidates to make informed career choices. As part of our commitment to transparency, we disclose the salary range for our positions. These ranges reflect our dedication to fair compensation practices and recognize the value that each team member brings to our organization. The final salary offer will be based on factors such as your experience, skills, and qualifications.
Non-Solicitation from Third Parties: Do not contact Maverick Payments about this position unless you are a job seeker and potential applicant for this position. Do not contact Maverick Payments about other services, products or commercial interests.
Notice to Agency and Search Firm Representatives: Maverick Payments is not accepting unsolicited resumes from agencies and/or search firms for this or other job postings. Resumes submitted to any Maverick Payments employee by a third-party agency and/or search firm without a valid written and signed search agreement, will become the sole property of Maverick Payments. No fee will be paid if a candidate is hired for this position as a result of an unsolicited agency or search firm referral.
Fair Chance Ordinance: Maverick will consider qualified applicants with criminal histories in a consistent manner with the Los Angeles Fair Chance Initiative for Hiring.

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