Data Jobs in San Leandro, CA

1 job found

Include remote jobs

2mo ago

Data & Analytics Engineer

Peterson CAT San Leandro, CA

San Leandro, CA

2mo 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 is seeking an on-site Data & Analytics Engineer in San Leandro, CA to evolve its enterprise analytics platform with cloud data platforms, Power BI, and AI enabled workflows.

Responsibilities

Ingest and steward data through raw, transformed, and curated layers aligned to analytics needs.
Design and maintain cloud-based data pipelines using Snowflake and Microsoft Fabric, while continuing to support existing SSIS workloads and Azure Data Factory where applicable.
Create analytics ready datasets via SQL based transformations.
Develop and maintain reports, dashboards, and semantic models, primarily in Power BI.
Leverage Python and AI enabled workflows to speed 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 assisted workflows.
Enhance report and dashboard generation through Python and AI enabled processes.
Advance data validation, reconciliation, and impact analysis with AI powered workflows.
Uphold strong data quality, reconciliation, and documentation standards across data assets.
Support ingestion, modeling, and analytics enablement for finance and ERP platforms, including Microsoft Dynamics.
Build reusable data pipelines, transformation patterns, and data models to improve consistency and scalability.
Contribute to data and analytics 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 closely related field, plus at least three years of direct experience in data engineering, business intelligence, or analytics, or an equivalent combination.
On-site work capability with close collaboration to business, finance, and IT teams.
Strong SQL and data warehousing experience with hands-on work on modern cloud platforms (Snowflake, Microsoft Fabric, or similar), including ETL/ELT ingestion and transformations.
Experience using Python for data engineering tasks, automation, and AI-enabled workflows.
Hands-on experience building production reports and dashboards; Power BI is required, with other BI tools acceptable.
Experience with Microsoft integration tools, including SSIS and/or Azure Data Factory.
Proven 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

Benefits

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

Certifications, Licenses, Registrations

None required

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