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Remote Azure Data Factory Jobs in California (NOW HIRING)

Maverick Payments

Data Warehouse Engineer

Calabasas, CA · On-site +1

$110K - $125K/yr

Monitor health and SLAs via Azure Monitor/Log Analytics, Synapse and Data Factory dashboards ... Pay Range : $110K- 125K This position will consider remote work for candidates in the following ...

Horizontal Talent

Sr. Data Engineer

San Francisco, CA · On-site +1

$60 - $96/hr

This position focuses on building reliable, high-performance pipelines and modern data platform capabilities using Databricks, Azure Data Factory, and DevOps practices. Responsibilities * Design ...

Lorven Technologies

Data Engineer

Los Angeles, CA · On-site +1

$123K - $148K/yr

California - Remote Duration: 6+ Months Contract The Senior Data Engineer is responsible for ... ADLS, Azure Data Factory, Event Hub, IoT Hub, Azure Stream Analytics, Azure Analysis Service ...

NextDeavor Inc.

Principal Data Architect

Irvine, CA · Remote

$126K - $214K/yr

Principal Data Architect Full-time Remote Exclusive confidential search -- details shared with ... Familiarity with Azure data services (ADLS Gen2, Azure Data Factory, Event Hubs, Synapse, Purview ...

Bluelight Consulting

$134K - $161K/yr

Azure Data Lake Storage (ADLS), Azure Data Factory, Azure Key Vault * DevOps & Infrastructure: Git, Azure DevOps, CI/CD, Infrastructure as Code (Terraform preferred) * Integration & Analytics: REST ...

Ennoble Care

Director of Data Engineering

San Diego, CA · Remote

$121K - $146K/yr

Ennoble Care offers a variety of programs including, remote patient monitoring, behavioral health ... Azure SQL, Azure Data Factory, Azure DevOps, GitHub, Azure Blob Storage, Azure Databricks ...

Ennoble Care

Director of Data Engineering

San Francisco, CA · Remote

$134K - $162K/yr

Ennoble Care offers a variety of programs including, remote patient monitoring, behavioral health ... Azure SQL, Azure Data Factory, Azure DevOps, GitHub, Azure Blob Storage, Azure Databricks ...

Avantiico

Microsoft BI (Fabric) Engineer

San Diego, CA · On-site +1

Build and maintain pipelines using Azure Data Factory and Synapse / Fabric Pipelines. * Manage source control, branching, and deployment using Git and Azure DevOps. * Run client-facing workshops ...

Carrington Mortgage

Senior, Data Engineer

Aliso Viejo, CA · Remote

$140K - $160K/yr

Come join our amazing team and work remote from home! What you'll do: Under direct supervision ... Knowledge of cloud-based database management and integration services (e.g., Azure Data Factory ...

GlobalLogic

Senior Product Manager IRC299888

San Jose, CA · On-site +1

$160K - $180K/yr

Azure, AWS and/or Google Cloud Platform. • Data integration using Informatica, Fivetran, dbt, Kafka, Spark, Airflow, Azure Data Factory, Talend or equivalent. • API-first architecture, event ...

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All JobsAzure Data Factory JobsRemote Azure Data Factory JobsRemote Azure Data Factory Jobs in California

Remote Azure Data Factory information

What are the key skills and qualifications needed to thrive as a Remote Azure Data Factory Engineer, and why are they important?

To thrive as a Remote Azure Data Factory Engineer, you need strong expertise in data integration, ETL processes, and cloud-based data solutions, typically supported by experience in Microsoft Azure and a relevant technical degree. Proficiency in Azure Data Factory, SQL, Power BI, and familiarity with other Azure services or certifications (such as Azure Data Engineer Associate) is highly beneficial. Excellent problem-solving, communication, and time management skills are crucial for effective remote collaboration and troubleshooting. These competencies ensure efficient data pipeline development, seamless data flow, and the ability to deliver robust analytics solutions in distributed environments.

What are some common challenges faced by remote Azure Data Factory professionals, and how can they be addressed?

Remote Azure Data Factory professionals often encounter challenges related to communication and collaboration, especially when integrating data from multiple sources across different teams. To address this, it's essential to establish clear documentation practices, utilize collaboration tools such as Microsoft Teams, and schedule regular check-ins with stakeholders. Additionally, proactively managing data pipeline failures and ensuring security compliance in a remote setting requires strict adherence to best practices and close coordination with IT and security teams. Building a strong support network and maintaining open lines of communication are key to overcoming these challenges and succeeding in the role.

What is the difference between Remote Azure Data Factory vs Remote Data Engineer?

AspectRemote Azure Data FactoryRemote Data Engineer
CredentialsAzure certifications, data integration skillsData engineering certifications, cloud platform knowledge
Work EnvironmentCloud-based, primarily using Azure platformCloud and on-premises environments, broader tech stack
Industry UsageData integration, ETL workflows in AzureData pipeline development, database management
Search & Comparison IntentFocus on specific tool (Azure Data Factory)Broader data engineering roles

Remote Azure Data Factory specialists focus on designing and managing data workflows within the Azure platform, often requiring specific certifications. Remote Data Engineers have a broader scope, building and maintaining data pipelines across various environments. While both roles involve data integration, Azure Data Factory roles are more tool-specific, whereas Data Engineers encompass a wider range of technologies and responsibilities.

What is a Remote Azure Data Factory professional?

A Remote Azure Data Factory professional is an IT specialist who designs, builds, and manages data integration solutions using Microsoft Azure Data Factory while working from a remote location. They create and manage data pipelines to move and transform data between various sources and destinations in the cloud. These professionals often collaborate with data engineers, analysts, and business stakeholders to ensure data is accessible, secure, and reliable for analytics and reporting needs.
What are the most commonly searched types of Azure Data Factory jobs in California? The most popular types of Azure Data Factory jobs in California are:
What are popular job titles related to Remote Azure Data Factory jobs in California? For Remote Azure Data Factory jobs in California, the most frequently searched job titles are:
What job categories do people searching Remote Azure Data Factory jobs in California look for? The top searched job categories for Remote Azure Data Factory jobs in California are:
What cities in California are hiring for Remote Azure Data Factory jobs? Cities in California with the most Remote Azure Data Factory job openings:
Remote Azure Data Factory jobs near you
Infographic showing various Remote Azure Data Factory job openings in California as of July 2026, with employment types broken down into 90% Full Time, 4% Part Time, and 6% Contract. Highlights an 81% Physical, 6% Hybrid, and 13% Remote job distribution.
Data Warehouse Engineer

Data Warehouse Engineer

Maverick Payments

Calabasas, CA • On-site, Remote

$110K - $125K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 19 hours 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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