Data Engineering Manager, Data Consumer Experience

Capital Group; San Antonio (TX); On-site; USD 166,000 - 265,000; Full time

Benefits offered by this job

Generous time-off & health benefits

2-for-1 matching gifts & annual grants

Professional development resources

Job summary

Capital Group is seeking a Data Engineering Manager for the Data Consumer Experience team within the Data Platforms Engineering group. You will lead a team integrating vendor tools, validating open-source analytics across our platforms, and ensuring a healthy, scalable consumer ecosystem used by thousands of users daily.

You will partner with business leaders to shape tool usage and generate business insights, leveraging AWS, Python, SQL, and modern data tooling.

Qualifications

• Bachelor's degree in computer science, engineering, math, or related technical field.
• At least 10 years in a mix of software/data engineering, analytics, and reporting.
• Led data engineering or tech teams; mentor/coach.
• Proficiency in Python, SQL, Power BI, Tableau, Databricks, Terraform; vendor management.

Responsibilities

• Lead a team that integrates vendor tools across platforms.
• Validate open-source analytics software on our data platforms.
• Keep consumer ecosystem healthy, governed, and scalable for thousands of users.
• Partner with business leaders to shape tool usage and drive insights.

Skills

Leadership

Mentoring

Stakeholder influence

Operational excellence

Education

Bachelors in CS/Engineering/Math

Tools

Python

SQL

Power BI

Tableau

Databricks

Terraform

AWS

Job description

Capital Group is seeking a Data Engineering Manager for the Data Consumer Experience team within the Data Platforms Engineering group. You will lead a team integrating vendor tools, validating open-source analytics across our platforms, and ensuring a healthy, scalable consumer ecosystem used by thousands of users daily.

You will partner with business leaders to shape tool usage and generate business insights, leveraging AWS, Python, SQL, and modern data tooling.