Accumulo Database Engineer Remote / Telecommute Jobs

Big Data Database Engineer (Accumulo Specialist)

Location: Hybrid (San Antonio, TX area) Work Model: Onsite with initial remote flexibility (2–3 month ramp period)

Overview: An enterprise federal program is seeking a highly specialized Big Data Database Engineer with deep expertise in Apache Accumulo to support a mission-critical distributed data platform. This role is focused on the sustainment, optimization, security, and modernization of large-scale data environments operating across multiple classification levels. This is a hands-on engineering role requiring true subject matter expertise in Accumulo and its supporting ecosystem—not a general database administrator.

Key Responsibilities:

• Accumulo Engineering & Administration
• Administer and optimize distributed Accumulo clusters, including core services and system components
• Perform advanced tuning of compactions, tablet management, and table-level configurations
• Design and maintain table structures, iterators, partitioning strategies, and performance settings
• Troubleshoot complex system-level issues including iterator failures, class loading issues, and runtime errors
• Distributed Systems Management
• Configure and maintain Hadoop ecosystem components including HDFS, Zookeeper, and YARN
• Optimize distributed storage and compute performance for high-volume ingestion and analytics workloads
• Ensure proper integration and stability between platform components
• Data Security & Access Control
• Implement and enforce fine-grained data security controls, including cell-level access restrictions
• Ensure compliance with multi-classification data handling requirements
• Support secure data flows across enterprise environments
• Backup, Recovery & Sustainment
• Manage backup and recovery strategies across distributed data platforms
• Support operations across multiple network environments with differing classification levels
• Maintain system reliability and support ongoing modernization efforts
• System Diagnostics & Optimization
• Analyze logs and performance metrics to identify and resolve ingest bottlenecks and system constraints
• Diagnose dependency issues across distributed services
• Partner with engineering teams to improve system performance and scalability

Required Qualifications:

• Active TS/SCI clearance or TS with SCI eligibility
• Proven, hands-on experience engineering and administering Apache Accumulo in enterprise environments (required)
• Strong experience with distributed systems, including HDFS, Zookeeper, and YARN
• Background in Hadoop ecosystem configuration, troubleshooting, and performance tuning
• Proficiency with Python and/or Java for system interaction and debugging
• Ability to troubleshoot deep technical issues within distributed data platforms

Preferred Qualifications:

• Experience supporting large-scale data platforms for analytics, ingestion, or cyber-related use cases
• Familiarity with mission-driven or highly secure data environments
• Experience developing automation for database management, monitoring, and maintenance workflows
• Exposure to Java-based application stacks that integrate with distributed data stores