Senior Data Engineer

Between $114k and $140k Per Year DOE (Depends on Experience) Senior Data Engineer Lereta

Occupation:

Office and Administrative Support Workers, All Other

Location:

Pomona, CA - 91768 Positions available: 1 Job #: 19843979

Source:

CalJOBS

Posted:

03/13/2026

Updated:

03/14/2026

Expires:

05/12/2026

Web Site:

CalJOBS Onsite /

Remote:

Work at home all of the time

Job Type:

Regular, Full Time (30 Hours or More), Permanent Employment

Agency Job ID:

SENIO001572

Job Requirements and Properties Help for Job Requirements and Properties. Opens a new window. Telework & Remote Full Time Education Bachelor's Degree Experience 24 Month(s) Schedule Full Time Job Type Regular Duration Permanent Employment Public Transit Available Benefits Job Description Help for Job Description. Opens a new window. The Senior Data Engineer leads the design, modernization, and operational support of the enterprise data platform. This role is responsible for architecting, optimizing, and supporting enterprise data integration, warehousing, reporting, and automation solutions across Azure, Snowflake, Microsoft BI technologies, and the Power Platform.

Key Responsibilities:

Defines and implements enterprise data architecture leveraging Azure Data Factory (ADF), Azure Data Lake Storage (ADLS Gen2), Azure SQL, Snowflake, Snowflake OpenFlow, SSIS, SSRS, Power BI, Power Automate, and Power Query. Leads conversion of SSIS packages to Azure Data Factory, Snowflake OpenFlow and modern ELT frameworks Designs scalable ingestion patterns to prevent duplicate extracts and enable incremental loading Optimizes long-running data extractions and improves pipeline performance Manages and tunes Snowflake warehouses for performance and cost efficiency Develops and supports Power BI datasets, data models, and enterprise reporting solutions Supports and modernizes SSRS reporting and downstream Power Platform dependencies Develops automation workflows using Power Automate to streamline operational processes Utilizes advanced Excel capabilities for analysis, reconciliation, validation, and business support Establishes best practices for data modeling, environment promotion (Dev/QA/Prod), naming conventions, monitoring, and operational support Provides Tier 2 / Tier 3 production support for data integration and reporting platforms Participates in Agile/Scrum ceremonies including sprint planning, backlog refinement, and progress reporting. Identifies obsolete fact tables, unused reports, and redundant processes to streamline the data ecosystem Partners with leadership to provide visibility into sprint progress, platform health, and modernization initiatives Leverages Ataccama ONE for governance, data quality monitoring, and metadata management Integrates and maintain Ataccama data quality workflows to support enterprise data governance This position will perform other duties as assigned based on the needs of the department.

Salary range:

$114,280 - $140,000

Core Competencies:

Strong communication skills with the ability to translate technical concepts to business stakeholders Strong analytical and problem-solving abilities High attention to detail and data accuracy Strong work ethic with a sense of ownership and accountability Ability to prioritize effectively in a production support and development environment Collaborative team player with the ability to work cross-functionally

Required Education & Experience:

Bachelor's degree in Computer Science, Information Systems, or equivalent field 10+ years of experience in software design and development, with the majority of time focused in a data engineering role

Required Technical Skills:

Azure Data Factory Azure Data Lake Storage (Gen2) Snowflake (data modeling, performance tuning, streams & tasks) Snowflake OpenFlow SQL Server Integration Services (SSIS) SQL Server Reporting Services (SSRS) Power BI (data modeling, DAX, report optimization) Power Automate Power Query Visual Studio Azure DevOps Advanced SQL development and tuning Microsoft Excel (advanced formulas, pivot tables, data validation) Git-based version control and CI/CD practices Agile / Scrum methodology Enterprise production support experience