Data Engineering Manager
Ledgent Technology, San Diego, CA, United States
True Engineering management role - not people management, not hands on engineering
Must have led engineers through building and delivering data engineering projects; a leader that makes design decisions, guides pipeline builds, and drives execution...not just keeping systems stable
Preferred from regulated industry or banking ideally; healthcare or insurance tech works
Startups won't be a fit
Must sit onsite 100% in San Diego; remote candidates will not be considered
No C2C or 3rd party candidates
Requirements
Bachelor's degree in computer science, MIS or related degree
10+ years' experience managing Data Engineering and leading Technology Teams
7+ years' working with SQL Server and other DB management systems with Cloud and on-PREM data ecosystems
7+ years' working with cloud-native data ecosystems (GCP, Azure, AWS) with deep experience in Cloud Data Warehouses (e.g., BigQuery, Snowflake, Databricks), exposure to various database types (SQL and NoSQL) and on-prem databases including SQL Server
Expertise in Databricks and the Spark ecosystem, including designing and optimizing pipelines using PySpark, implementing the moder data architecture and strong hands‑on experience
Advanced level experience with Python and PySpark (for data processing), advanced SQL, and modern ELT/ETL tools (e.g., Fivetran and dbt). Strong experience with a breadth of Data Integration tools, Databases, Big Data Platforms, Cloud based data platforms and Data Streaming technologies
Experience leading technical teams (e.g., Data Engineers, Tech Leads), including mentoring, project oversight, and setting technical direction
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, and Los Angeles County Fair Chance Ordinance.
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Must have led engineers through building and delivering data engineering projects; a leader that makes design decisions, guides pipeline builds, and drives execution...not just keeping systems stable
Preferred from regulated industry or banking ideally; healthcare or insurance tech works
Startups won't be a fit
Must sit onsite 100% in San Diego; remote candidates will not be considered
No C2C or 3rd party candidates
Requirements
Bachelor's degree in computer science, MIS or related degree
10+ years' experience managing Data Engineering and leading Technology Teams
7+ years' working with SQL Server and other DB management systems with Cloud and on-PREM data ecosystems
7+ years' working with cloud-native data ecosystems (GCP, Azure, AWS) with deep experience in Cloud Data Warehouses (e.g., BigQuery, Snowflake, Databricks), exposure to various database types (SQL and NoSQL) and on-prem databases including SQL Server
Expertise in Databricks and the Spark ecosystem, including designing and optimizing pipelines using PySpark, implementing the moder data architecture and strong hands‑on experience
Advanced level experience with Python and PySpark (for data processing), advanced SQL, and modern ELT/ETL tools (e.g., Fivetran and dbt). Strong experience with a breadth of Data Integration tools, Databases, Big Data Platforms, Cloud based data platforms and Data Streaming technologies
Experience leading technical teams (e.g., Data Engineers, Tech Leads), including mentoring, project oversight, and setting technical direction
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, and Los Angeles County Fair Chance Ordinance.
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