Engineer Jobs in San Leandro, CA

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1mo ago

Data & Analytics Engineer

Peterson CAT San Leandro, CA

San Leandro, CA

1mo ago Closed

$105k - $125k/yr Full time Analytics Artificial Intelligence Business Analytics

This position is no longer accepting applications (closed Jul 14, 2026).

Job Description

Peterson CAT invites you to join as a Data & Analytics Engineer in San Leandro, CA, onsite. You will help evolve the enterprise analytics platform through data engineering, analytics delivery, and reporting, with a focus on cloud data platforms, Power BI, and AI enabled workflows to improve speed, quality, and scale while preserving data accuracy and governance. The role offers a competitive salary of $105,000 to $125,000 per year, generous benefits, opportunities for advancement, and a total compensation package in addition to base pay.

This is an onsite role based in San Leandro, California and requires a Bachelor's Degree with at least three years of related experience. You will collaborate with business, finance, and IT teams to translate needs into trusted analytics solutions.

Benefits

Competitive wages
Generous benefits
Promotional opportunities
Total compensation package in addition to base salary

Responsibilities

Ingest and steward data across Raw, Transformed, and Curated layers aligned to business and analytics requirements.
Develop and maintain data pipelines using cloud architectures such as Snowflake and Microsoft Fabric, while supporting existing SSIS workloads and Azure Data Factory when applicable.
Design and build curated, analytics ready datasets using SQL based transformations.
Create and maintain reports, dashboards, and semantic models, mainly with Power BI.
Leverage Python and AI driven workflows to accelerate data ingestion and schema discovery.
Accelerate source-to-target mapping and transformation logic with Python and AI driven workflows.
Speed ETL troubleshooting and optimization using Python and AI workflows.
Streamline report and dashboard generation with Python and AI workflows.
Enhance data validation, reconciliation, and impact analysis through Python and AI workflows.
Uphold strong data quality, reconciliation, and documentation standards.
Support data ingestion, modeling, and analytics enablement for finance and ERP platforms, including Microsoft Dynamics.
Develop reusable data pipelines, transformation patterns, and data models to improve consistency and scalability.
Contribute to standards, best practices, and frameworks within the evolving Data & Analytics Center of Excellence.
Collaborate with business, finance, and IT teams to define requirements, validate outputs, and deliver trusted analytics solutions.
Maintain punctual, regular, and predictable attendance.

Requirements

Bachelor's Degree from an accredited college in Data Science, Information Technology, Engineering, or a related field; and a minimum of three years of directly related experience in data engineering, business intelligence, or analytics, or an equivalent combination.
On-site work with close collaboration with business, finance, and IT teams.
Strong SQL and data warehousing experience, with hands-on work in modern cloud data platforms such as Snowflake or Microsoft Fabric, 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, with Power BI required and other BI tools acceptable.
Experience using Microsoft integration tools, including SSIS and/or Azure Data Factory.
Experience supporting end-to-end data pipelines from ingestion through analytics and reporting.

Technologies

Snowflake
Microsoft Fabric
SQL Server Integration Services (SSIS)
Azure Data Factory
SQL
Power BI
Python
Microsoft Dynamics
Spark / PySpark

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