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Senior Enterprise Data Engineer

Ledgent TechnologySan Diego, CA🇺🇸United StatesPosted 3 Sept 2026

Why This Role Stands Out

This hybrid Senior Enterprise Data Engineer role offers a competitive salary range of $105-$132k and the opportunity to leverage your expertise in data warehousing and ETL processes within a respected company. You'll thrive here if you have a strong background in SQL Server, data modeling, and BI tools, with a desire to contribute to enterprise-scale data solutions. Apply today to advance your career with this exciting opportunity.

Quick Overview

Seniority
Mid Senior
Work mode
Hybrid
Location
San Diego, CA, United States
Posted
Yesterday
SQLSQL ServerETLScrumAgileApacheApache SparkAzureDatabricksGitPower BIPython

Job Description



Direct Hire position


No C2C or 3rd Party Candidates will be considered


Hybrid Position:must sit onsite 3 days per week in San Diego


Target salary is $105-$132k


Qualifications



  • Bachelor's degree in Computer Science, Information Technology, Software Development, or a related field, or an equivalent combination of education and experience.

  • 5+ years of experience in database engineering and design within OLTP and OLAP environments.

  • 5+ years of experience developing data extraction, transformation, and loading processes using SSIS, Azure Data Factory, Python, or similar technologies.

  • 5+ years of experience developing enterprise reporting and analytics solutions using Power BI and SSRS.

  • Advanced expertise with SQL Server 2016 and newer versions.

  • Strong understanding of:

  • Data warehousing concepts

  • Dimensional modeling and star schema design

  • Data modeling and normalization

  • ETL/ELT development

  • Data quality and governance

  • Reporting and business intelligence solutions

  • Experience working in Agile and Scrum environments.


Preferred Qualifications



  • Experience with Microsoft Azure data and analytics technologies, including:

  • Azure Data Factory

  • Azure Synapse Analytics

  • Azure Data Lake Storage

  • Databricks

  • Apache Spark

  • Microsoft Fabric

  • Experience with Azure DevOps, Git, CI/CD practices, and source control management.

  • Python development experience.

  • Experience supporting enterprise-scale data and analytics environments.



All qualified applicants will receive consideration for employment without regard to race, color, national origin, age, ancestry, religion, sex, sexual orientation, gender identity, gender expression, marital status, disability, medical condition, genetic information, pregnancy, or military or veteran status. We consider all qualified applicants, including those with criminal histories, in a manner consistent with state and local laws, including the California Fair Chance Act, City of Los Angeles' Fair Chance Initiative for Hiring Ordinance, Los Angeles County Fair Chance Ordinance, and San Francisco Fair Chance Ordinance.

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