ZipRecruiter

Log In

1

Azure Data Factory Jobs in California (NOW HIRING)

Maverick Payments

Data Warehouse Engineer

Calabasas, CA · On-site +1

$110K - $125K/yr

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 ...

Paul Hastings

Senior Data Engineer

Los Angeles, CA

$194K/yr

Design, build and manage scalable data pipelines usingAzure Data Factory (ADF),Azure Data Lake Storage (ADLS) andAzure Databricks; * Develop ELT frameworks for ingesting and transforming structured ...

BakerHostetler

Data Solutions Engineer

Los Angeles, CA · On-site

$123K - $148K/yr

Proficiency in the following tools, technologies, and data concepts: • Azure Data Factory, Azure SQL Database, PostgreSQL, Azure Blob Storage, Azure Data Lake Storage • Azure Synapse Analytics ...

Dlapiper

Data Engineer

San Diego, CA · On-site

$121K - $146K/yr

Design and implement data pipelines using Azure data technologies (e.g., Azure Data Factory, Azure Databricks, Azure Event Hubs, SSIS) to ingest, process, and deliver data from sources such as APIs ...

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 ...

Dlapiper

Data Engineer

Los Angeles, CA · On-site

$123K - $148K/yr

Design and implement data pipelines using Azure data technologies (e.g., Azure Data Factory, Azure Databricks, Azure Event Hubs, SSIS) to ingest, process, and deliver data from sources such as APIs ...

Dlapiper

Data Engineer

Palo Alto, CA

$134K - $161K/yr

Design and implement data pipelines using Azure data technologies (e.g., Azure Data Factory, Azure Databricks, Azure Event Hubs, SSIS) to ingest, process, and deliver data from sources such as APIs ...

East West Bank

Enterprise Data Architect

Pasadena, CA · On-site

$130K/yr

Lead architecture design for Azure-native and cloud-based enterprise data platforms including Databricks, Azure Data Lake, Synapse, Microsoft Fabric, Azure Data Factory, and Power BI ecosystems.

Dlapiper

Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

Design and implement data pipelines using Azure data technologies (e.g., Azure Data Factory, Azure Databricks, Azure Event Hubs, SSIS) to ingest, process, and deliver data from sources such as APIs ...

Saransh Inc

Lead Data Engineer - Only W2

San Francisco, CA · On-site

$134K - $162K/yr

Azure Data Factory (ADF) * Datastage (or other ETL tools) * SSAS cubes * BI tools (Cognos, Tableau, ThoughtSpot, etc.) * Strong Database knowledge (SQL & No-SQL preferred) * Advanced SQL and Python ...

WinWire

Data Engineer

Santa Clara, CA · On-site

$210K - $230K/yr

Create/ Modify a generic, meta-data driven Azure Data Factory solution that orchestrates end-to-end flow from various data sources to final warehouse; Create/ Modify Pyspark data bricks notebooks to ...

Career Movement

Data Engineer

Santa Fe Springs, CA · On-site

$116K - $139K/yr

Familiarity with Azure data services (Data Factory, Synapse, or SQL Database) or a comparable cloud platform * Comfort operating in a hybrid environment where legacy systems and modern cloud ...

previous pagenext page

Showing results 21-40

All JobsAzure Data Factory JobsAzure Data Factory Jobs in California

Azure Data Factory information

See California salary details

$10

$57

$78

How much do azure data factory jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for azure data factory in California is $57.64, according to ZipRecruiter salary data. Most workers in this role earn between $52.21 and $64.76 per hour, depending on experience, location, and employer.

What is an Azure Data Factory?

An Azure Data Factory job refers to a data processing task executed within Azure Data Factory (ADF), a cloud-based data integration service. ADF enables the creation, scheduling, and orchestration of ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) workflows. These jobs help in moving and transforming data between various data stores, such as Azure Blob Storage, SQL databases, and on-premises systems. By using pipelines, activities, and triggers, ADF automates data workflows efficiently.

What are the key skills and qualifications needed to thrive in the Azure Data Factory position, and why are they important?

To thrive in an Azure Data Factory role, you need expertise in data integration, ETL processes, and cloud data solutions, typically supported by a background in computer science or information technology. Familiarity with Microsoft Azure Data Factory, Azure SQL Database, and certifications such as Microsoft Certified: Azure Data Engineer Associate are highly valued. Strong analytical thinking, effective communication, and problem-solving skills help professionals excel in cross-functional teams. These skills are essential for designing, deploying, and maintaining efficient data workflows that support business analytics and decision-making.

What are some typical challenges faced by professionals working with Azure Data Factory, and how can they be addressed?

One of the main challenges in an Azure Data Factory role is managing complex data pipelines that span multiple data sources and destinations, which requires careful orchestration and monitoring. Troubleshooting data integration issues and ensuring data accuracy can also be demanding, especially when dealing with large volumes of data or evolving business requirements. Successful professionals often address these challenges by staying updated with Azure’s latest features, implementing robust error-handling, and collaborating closely with data architects and business analysts. Joining a supportive team environment and accessing ongoing training can further assist in overcoming common hurdles and advancing in your career.

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 Azure Data Factory jobs in California? For Azure Data Factory jobs in California, the most frequently searched job titles are:
What job categories do people searching Azure Data Factory jobs in California look for? The top searched job categories for Azure Data Factory jobs in California are:
What cities in California are hiring for Azure Data Factory jobs? Cities in California with the most Azure Data Factory job openings:
Azure Data Factory jobs near you
Infographic showing various 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, with an average salary of $119,886 per year, or $57.6 per hour.

Data Warehouse Engineer

Maverick Payments

Calabasas, CA • On-site, Remote

$110K - $125K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 9 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 the end-to-end process of 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:
  • 5-8 years in Data Engineering/Data Warehousing or closely 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: $140K- 160K
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.

Apply