Job Requirements
Job Description
Accumulo Database Engineer
Location: San Antonio, TX (Hybrid – Remote acceptable for 1-2 months)
Required Clearance: Top Secret/SCI (Eligible)
Since 1999, ITEC has delivered mission-critical support to the DoD and Intelligence Community. Now part of ManpowerGroup Public Sector (MGPS), we continue that work with expanded capabilities. Employees hired through this process will join MGPS and receive a comprehensive benefits package and competitive pay.
U.S. Citizenship Mandatory: Due to our US federal government contract, candidates for this position are required to be a US Citizen and will be subject to a background investigation.
Job Description:
We are seeking a highly skilled Hadoop and Accumulo expert—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 C2IE data platform.
As documented across our ongoing staffing efforts, this is a high priority, immediate need for someone with deep Accumulo mastery—not an Oracle/Postgres heavy DBA, but a specialist fully fluent in Accumulo internals, HDFS, Zookeeper, YARN, and secure, large scale distributed data environments. Candidates without demonstrable Accumulo experience will not be a fit.
Job Responsibilities:
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.
- 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.
Required Skills:
- Expert level Accumulo experience (absolute non negotiable).
- Must have engineered, administered, tuned, and operated enterprise Accumulo clusters—not just used it as a client.
- Hands on experience with HDFS, Zookeeper, YARN (distributed systems internals & optimization), Hadoop ecosystem troubleshooting, performance tuning, and configuration management.
- Strong Python and/or Java familiarity to work within and debug Accumulo backed services (TCF/EAPI references in logs).
- Experience with secure, multi classification DoD environments.
- Ability to analyze deep system issues (e.g., classloader failures, iterator load problems).
Desired Skills:
- Experience supporting Accumulo backed systems for ingestion, analytics, graph processing, or cyber analytics workflows.
- Familiarity with C2IE, BDP, or similar mission applications.
- Experience building automation around Accumulo management, backups, table configuration, and monitoring.
- Understanding of Java based microservice stacks dependent on Accumulo.
Education:
Bachelor’s
