Database Engineer
Accenture Federal Services
| Company | Accenture Federal Services |
| Category | Engineering |
| Location | San Antonio |
| Remote | On-site (inferred) |
| Employment | Not stated |
| Level | Not stated |
| Salary | Not stated by the employer |
| Posted | 4 Jun 2026 |
| Last verified | 30 Jul 2026 |
| Source | Employer career page (greenhouse) |
Description
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!
Accenture Federal Services is seeking a Database Engineer with Accumulo experience to join our team and support our client in San Antonio, TX. You will be a hands-on Database Engineer/Administrator specializing in Apache Accumulo within a distributed big data ecosystem. This role is critical to the sustainment, performance, security, and modernization of the customer's data platform. We are looking for a specialist fluent in Accumulo internals, HDFS, Zookeeper, YARN, and secure, large scale distributed data environments.
What you'll do:
Accumulo Administration & Engineering
Manage, configure, and optimize Accumulo clusters, including tservers, master, monitor, and garbage collector services.
Perform and tune Accumulo compactions, flush operations, and table‑level maintenance routines.
Engineer, configure, and validate Accumulo tables, iterators, splits, security labels, and performance settings (tablet distribution, bloom filters, tserver configurations).
Troubleshoot and resolve complex Accumulo server errors, iterator issues, classloader problems, and runtime exceptions.
Distributed System Architecture
Configure and optimize the supporting Hadoop ecosystem, including HDFS, Zookeeper, and YARN , ensuring tightly paired but properly decoupled management where feasible.
Evaluate and tune distributed file system architecture for enterprise‑scale ingestion, analytics, and storage workloads.
Security & Cell‑Level Access Control
Implement and maintain Accumulo’s cell‑level security and read‑path enforcement (Standard Read vs. Full Access modes).
Ensure strict compliance with CUI, TS/SCI, and cross‑domain security requirements for data at rest and in motion.
Backup, Recovery, and Sustainment
Manage Accumulo‑level and HDFS‑level backup processes, automated backup directories, and restore procedures.
Work with multi‑environment (NIPR/SIPR/JWICS) deployments following enterprise sustainment and modernization expectations.
Operational Diagnostics & Continuous Improvement
Analyze Accumulo logs and metrics to troubleshoot ingest failures, iterator misconfigurations, ZK/YARN dependencies, and scaling constraints.
Collaborate with engineering teams on evaluating modernization options and improving architectural resilience.
What you’ll need:
5 years of experience working with distributed data systems and/or large-scale storage technologies
Experience with Accumulo and/or Hadoop and/or Zookeeper
DoD 8140 compliance (e.g. Security+, CISSP, CASP, etc.) or ability to obtain within 6 months
Bonus points if you have:
Experience with distributed systems architecture, data migration, and consolidation projects
Understanding of platform reliability and operational best practices
Clearance :
Must have an active TS/SCI level clearance
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As required by local law, Accenture Federal Services provides reasonable ranges of compensation for hired roles based on labor costs in the states of California, Colorado,
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