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Data & Analytics Engineer

Peterson CAT -
San Leandro, CA

Quick Apply

Job Details

Full-time
$105,000 - $125,000 a year

Qualifications

Performance dashboard reports
Commercial use (data warehousing systems)
Cloud analytics services
Data visualization software proficiency
Data Integration (Data management)
Data analysis reporting
Cloud data warehouses
Dashboard creation
Business intelligence report generation
Dashboard creation support
SQL
ETL process automation
Business intelligence tools
Integration Platforms (Enterprise solutions)
AI-driven automation
Python
Data analytics technologies
Database software proficiency

Full 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.

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.

Quick Apply

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data engineer jobs in richmond, ca

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