AI-First Data Engineer Lead

Capital-Group-1

Los Angeles (CA)

On-site

USD 202,000 - 323,000

Full time

6 days ago
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Benefits offered by this job

Bonuses
Retirement plan contribution
Health benefits

Job summary

Capital Group is seeking a Data Engineer Lead in the Capital Solutions Group Technology (CSGT) in Southern California. You will set the technical direction for the data platform powering portfolio construction, investment research, and monitoring, as a senior hands-on contributor.

You will write code, own architecture and delivery, and lead AI-first engineering practices across large-scale data pipelines, collaborating with investment professionals and product leaders to deliver reliable data

Qualifications

  • 10+ years of experience in data or software engineering with technical leadership.
  • Strong hands-on Python and SQL skills with distributed data processing knowledge.
  • Production experience with Databricks on AWS and orchestration with Airflow.

Responsibilities

  • Set the data engineering strategy and roadmap for CSGT, including Lakehouse architecture.
  • Design and build ingestion, transformation, and serving pipelines with Databricks, PySpark, Delta Lake, dbt, and Airflow.
  • Lead AI-first engineering, turning outcomes into well-defined specs and agent workflows.
  • Partner with investment professionals and product managers to align data products with business goals.
  • Define testing strategy, data quality, observability, and CI/CD controls.

Skills

Python
SQL
Databricks
PySpark
Delta Lake
Unity Catalog
Airflow
dbt
AI-first
Leadership

Education

Bachelor's degree in CS/Engineering

Tools

Databricks on AWS
Airflow
dbt
Terraform
Datadog

Job description

Capital Group is seeking a Data Engineer Lead in the Capital Solutions Group Technology (CSGT) in Southern California. You will set the technical direction for the data platform powering portfolio construction, investment research, and monitoring, as a senior hands-on contributor.

You will write code, own architecture and delivery, and lead AI-first engineering practices across large-scale data pipelines, collaborating with investment professionals and product leaders to deliver reliable data

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