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Data Analytics Developer Jobs in California (NOW HIRING)

Data & Analytics Engineer

San Leandro, CA · On-site

$129K - $155K/yr

Peterson Cat has a need for a Data & Analytics Engineer to work onsite at our San Leandro, CA location. WE ARE UNABLE TO PROVIDE SPONSORSHIP AT THIS TIME SUMMARY The Data & Analytics Engineer is ...

Partner closely with data engineering teams to design and improve scalable data pipelines, data models, and data structures that support analytics and reporting needs * Ensure data integrity ...

Data & Analytics Engineer

San Leandro, CA

$129K - $155K/yr

Peterson Cat has a need for a Data & Analytics Engineer to work onsite at our San Leandro, CA location. WE ARE UNABLE TO PROVIDE SPONSORSHIP AT THIS TIME SUMMARY The Data & Analytics Engineer is ...

Data Analytics Location: Santa Clara, CA (Onsite) Duration: Full Time and Contract Need profiles with Strong SQL, Tableau & Data Analytics (Instead of Data Analyst), Databricks and AWS and Python 1 ...

Netpace Inc is looking for an outstanding Data & Analytics Engineer to join their Information Services department. The role involves designing and developing analytics solutions, architecting data ...

Data Analytics Engineer

Calabasas, CA · On-site

$90K - $100K/yr

Role Summary AmaWaterways is hiring a Data Analytics Engineer to own the analytics layer of our modern data platform. You will design governed data marts, build the semantic layer that powers our ...

Data Analytics Engineer

Pleasanton, CA · On-site

$126K - $151K/yr

In this role as Data Analytics Engineer, In this role, you will build and maintain data pipelines, tools, and visualizations to enable organizational insights. You'll develop KPI reports, partner ...

Alchemy is the only complete developer platform that offers the powerful APIs, SDKs, and tools ... Experience designing efficient, scalable analytical data models * Proficiency with dbt or ...

About the Role We are seeking a highly analytical and detail-oriented Data Analytics Engineer to join our data team. This role will report into the Revenue Operations team. The ideal candidate will ...

Provide guidance and mentor developers in the data analytics team Required Experience: 10+ years Mandatory Skills: In-depth knowledge on the Hadoop stack (Map reduce, HDFS, Hive, Pig, Zookeeper)

Provide guidance and mentor developers in the data analytics team; Skills: Required In-depth knowledge on the Hadoop stack (Map reduce, HDFS, Hive, Pig, Zookeeper); Experience with Business ...

Showing results 21-40

Data Analytics Developer information

See California salary details

$24

$54

$93

How much do data analytics developer jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for data analytics developer in California is $54.03, according to ZipRecruiter salary data. Most workers in this role earn between $43.41 and $61.20 per hour, depending on experience, location, and employer.

What does a data analytics developer do?

A Data Analytics Developer is responsible for designing, developing, and implementing data analysis tools and solutions. They work with large datasets to extract insights, create data models, and build dashboards or reports that help organizations make data-driven decisions. Their role often involves collaborating with data scientists, business analysts, and IT teams to ensure data accuracy, performance, and security. They typically use programming languages like Python or SQL and may work with business intelligence platforms such as Tableau or Power BI.

What are the key skills and qualifications needed to thrive as a data analytics developer?

To thrive as a Data Analytics Developer, you need strong analytical skills, proficiency in programming languages like Python or R, and a solid background in statistics or mathematics, typically supported by a relevant degree. Experience with data visualization tools (such as Tableau or Power BI), SQL, and cloud-based analytics platforms, as well as certifications like Google Data Analytics or Microsoft Certified: Data Analyst Associate, are highly beneficial. Excellent problem-solving abilities, attention to detail, and effective communication skills set top performers apart in this field. These skills ensure accurate data analysis, actionable insights, and successful collaboration with stakeholders to drive data-informed decision-making.

What are some common challenges data analytics developers face when integrating new data sources into existing analytics platforms?

Data Analytics Developers often encounter challenges such as data inconsistency, varying data formats, and incomplete documentation when integrating new sources. Ensuring data quality and compatibility with existing pipelines requires close coordination with data engineers and source system owners. Additionally, they must balance the need for rapid integration with maintaining data security and compliance standards. Overcoming these challenges typically involves thorough data profiling, robust ETL processes, and proactive communication across teams.

What is the difference between Data Analytics Developer vs Data Analyst?

AspectData Analytics DeveloperData Analyst
Required SkillsSQL, programming, data modeling, visualization toolsExcel, SQL, basic statistics, visualization
CertificationsData analytics, programming certificationsExcel, Tableau, Power BI certifications
Work EnvironmentDevelops data tools, pipelines, and dashboardsAnalyzes data, creates reports, interprets findings
Industry UsageTech, finance, healthcare, where data tools are neededBusiness, marketing, finance, where insights are required

While both roles work with data, Data Analytics Developers focus on building data systems and tools, whereas Data Analysts interpret data to provide insights. The roles often overlap but differ mainly in technical development versus analysis and reporting.

What are popular job titles related to Data Analytics Developer jobs in CA?

For Data Analytics Developer jobs in CA, the most frequently searched job titles are:

Infographic showing various Data Analytics Developer job openings in California as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $112,382 per year, or $54 per hour.

Data & Analytics Engineer

Peterson

San Leandro, CA • On-site

$129K - $155K/yr

Full-time

Re-posted 24 days ago


Job description

It's your time, make it matter.
At Peterson, we partner with our customers to build the future. For over 85 years, our peoples' work has shaped the communities where we live, where we raise our families, and where we thrive. Peterson's legacy permeates every aspect of our communities. From roads and bridges, back-up power at hospitals, fire-fighting, concerts and moving goods; we are everywhere you look. At Peterson, you don't just have a career, you have a purpose.
Our family-oriented environment is built on safety, winning, growth, and professional achievement. Hiring and developing exceptional people is critical to our continued success. We have high standards for a good reason: our people represent Peterson, our family, our brand, and our values.
You have high expectations too. You are exceptionally motivated, have outstanding skills, and want your work to matter. Peterson offers competitive wages, generous benefits, and promotional opportunities at a family-owned and operated business. It's time to use your skills and passion to do work that matters!
Job Description
Peterson Cat has a need for a Data & Analytics Engineer to work onsite at our San Leandro, CA location.
WE ARE UNABLE TO PROVIDE SPONSORSHIP AT THIS TIME
SUMMARY
The Data & Analytics Engineer is responsible for supporting and evolving Peterson's enterprise analytics platform. This is role performs data engineering, analytics delivery, and reporting, with a focus on modern cloud data platforms, layered data architecture, Power BI reporting, and AI enabled (including agentic) workflows to improve speed, quality, and scale-while maintaining data accuracy, governance, and trust.
ESSENTIAL JOB FUNCTIONS
The following reflects management's definition of essential functions for this job but does not restrict the tasks that may be assigned. Management may assign or reassign the functions to this job at any time due to reasonable accommodation or other reasons. Job functions include the following. Other duties may be assigned.
  • Ingest and manage data across Raw, Transformed, and Curated layers based on business and analytics requirements.
  • Build and maintain data pipelines using modern cloud data architectures, including Snowflake and Microsoft Fabric, and support existing SQL Server Integration Services (SSIS) workloads and Azure Data Factory where applicable.
  • Design and develop curated, analytics-ready datasets using SQL-based transformation approaches.
  • Build and maintain reports, dashboards, and semantic models, primarily in Power BI.
  • Use Python and AI/agentic workflows to accelerate:
    • Data ingestion and schema discovery
    • Source-to-target mapping and transformation logic
    • ETL troubleshooting and optimization
    • Report and dashboard generation
    • Data validation, reconciliation, and impact analysis
  • Apply and maintain strong data quality, reconciliation, and documentation standards.
  • Support data ingestion, modeling, and analytics enablement for finance and enterprise resource planning (ERP) platforms, including Microsoft Dynamics.
  • Develop reusable data pipelines, transformation patterns, and data models to improve consistency and scalability.
  • Contribute to data and analytics standards, best practices, and frameworks as part of an evolving Data & Analytics Center of Excellence.
  • Partner with business, finance, and IT teams to define requirements, validate outputs, and deliver trusted analytics solutions.
  • Maintain punctual, regular, and predictable attendance.

QUALIFICATIONS
Bachelor's Degree from a fully accredited college in Data Science, Information Technology, Engineering, or other closely related field; and a minimum of three (3) years of directly related experience in data engineering, business intelligence, or analytics roles, preferably in a heavy industrial environment; or an equivalent combination of education and work experience. Must be comfortable working on-site and collaborating closely with business, finance, and IT teams.
Required Experience:
  • Strong SQL and data warehousing experience, with hands-on work in modern cloud data platforms (e.g., Snowflake, Microsoft Fabric, or similar), including ETL/ELT ingestion and transformations.
  • Experience with Python for data engineering, automation, and AI-enabled workflows.
  • Hands-on experience building production reports and dashboards (Power BI required; other BI tools acceptable).
  • Experience working with Microsoft integration tools, including SSIS and/or Azure Data Factory.
  • Experience supporting end-to-end data pipelines, from ingestion through analytics and reporting.

Preferred Experience:
  • Experience with modern cloud data platforms (e.g., Microsoft Fabric, Snowflake, or similar), with the ability to work across evolving architectures.
  • Finance domain knowledge (GL, revenue, costs, contracts).
  • Microsoft Dynamics or ERP data migration experience.
  • Experience working within the Microsoft ecosystem / Microsoft 365.
  • Experience with Spark/PySpark or notebook-based data processing for advanced transformations.

CERTIFICATES, LICENSES, REGISTRATIONS
None required
The pay range for this position is: $105,000.00 - $125,000.00 (Starting wage will depend on experience and education. We also offer a total compensation package in addition to base salary.)
#INDL
Peterson Holding Company is committed to equal employment opportunity and affirmative action. Minorities, females, veterans, and individuals with disabilities are encouraged to apply. A drug screen and background check is required.