Data Engineering (Onsite - San Antonio, TX)

Accenture Federal ServicesSan Antonio, TX
1dOnsite

About The Position

At Accenture Federal Services, nothing matters more than helping the US federal government make the nation stronger and safer and life better for people. Our 13,000+ people are united in a shared purpose to pursue the limitless potential of technology and ingenuity for clients across defense, national security, public safety, civilian, and military health organizations. Join Accenture Federal Services, a technology company within global Accenture. Recognized as a Glassdoor Top 100 Best Place to Work, we offer a collaborative and caring community where you feel like you belong and are empowered to grow, learn and thrive through hands-on experience, certifications, industry training and more. Join us to drive positive, lasting change that moves missions and the government forward! The work:

Requirements

  • US Citizenship required (no dual citizens)
  • DoD Interim Secret clearance
  • Experience with AWS, Palantir Foundry, and Databricks data engineering capabilities, particularly around system interfaces.
  • Hands-on experience building and sustaining automated data pipelines and monitoring systems.
  • Experience leading or supervising technical team members.
  • Ability to operate in a client-facing environment.
  • Ability to commute to San Antonio or be located within commuting distance.

Nice To Haves

  • Active DoD Secret clearance
  • Knowledge of GovCloud.
  • Familiarity with DoD cyber requirements or DoD environments.
  • Experience deploying AI or automation solutions within enterprise data environments.

Responsibilities

  • Lead delivery of automated, real-time, self-healing data pipelines across platforms and manage metadata repositories.
  • Implement automated error detection and alerting systems to ensure data accuracy and consistency.
  • Support client and delivery teams in deploying AI and other automation approaches.
  • Manage monitoring and sustainment of data pipelines, resolving data discrepancies in near real time.
  • Supervise a small team (2–3 members), both local and remote.
  • Work closely with the client to automate enterprise data pipelines and ensure data quality.
  • Perform client-facing duties with direct responsibility for guiding technical discussions and delivery.

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What This Job Offers

Job Type

Full-time

Career Level

Mid Level

Education Level

No Education Listed

Number of Employees

1,001-5,000 employees

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