Accumulo Database Engineer SME

Job Details: Job Location: Accenture

• San Anto, TX, Position Type: Full Time, Education Level: 4 Year Degree, Salary Range: Undisclosed, Travel Percentage: None, Job Shift: Day, Job Category: Consultant, Senior Accumulo Database Engineer / Accumulo SME Location: San Antonio, Texas (100% Onsite) Clearance: Active Secret or TS, TS/SCI Preferred Citizenship: U.S. Citizen Required Certification: Security+ CE or DoD 8140/8570 IAT Level II Equivalent Required Employment Type: Full-Time Federal Contractor Position Overview P3S Corporation is seeking a highly skilled Senior Accumulo Database Engineer / Subject Matter Expert (SME) to support mission-critical Department of Defense and Intelligence Community systems within a TS/SCI environment. This position serves as the technical authority for Apache Accumulo architecture, administration, optimization, security, and integration across large-scale enterprise data platforms. The ideal candidate possesses deep expertise in Apache Accumulo, Hadoop ecosystems, HDFS, distributed computing architectures, data governance, and secure data management. Candidates may come from a Database Administration, Software Engineering, Data Engineering, or Big Data Engineering background but must demonstrate expert-level Accumulo knowledge and hands-on operational experience. This role supports high-volume ingest, secure data storage, advanced analytics, and mission systems requiring high availability, performance optimization, and compliance with Intelligence Community and Department of Defense security requirements. Required Qualifications Education Bachelor's Degree in one of the following: Computer Science Information Systems Software Engineering Data Engineering Computer Engineering Related Technical Discipline (Additional experience may be substituted for education where permitted.) Experience 8+ years of enterprise database administration or engineering experience. 5+ years supporting Hadoop ecosystem technologies. 5+ years supporting distributed data platforms. 3+ years of hands-on Apache Accumulo administration and engineering experience. Experience supporting classified DoD or Intelligence Community environments. Required Technical Skills Expert knowledge of: Apache Accumulo Hadoop Ecosystem HDFS Zoo. Keeper RFiles Tablet Architecture Major and Minor Compactions Write Ahead Logs (WAL) Data Modeling Java Linux Administration PostgreSQL MongoDB Security Hardening Backup & Recovery Performance Tuning Desired Qualifications Preferred certifications include: CISSP CISM CASP+ Certified Hadoop Administrator Cloudera Certification MongoDB DBA Certification PostgreSQL Certification AWS Data Analytics Specialty Certified Data Management Professional (CDMP) Preferred experience: Intelligence Community data platforms GEOINT, SIGINT, or Cyber Operations environments Spark Ni. Fi Elasticsearch Kubernetes Cloud-hosted Big Data architectures Qualifications: Essential Responsibilities Apache Accumulo Administration & Engineering Serve as the primary technical expert for Apache Accumulo architecture and operations. Design, deploy, configure, maintain, and optimize enterprise Accumulo clusters. Administer and troubleshoot: Tablet Servers Master Services Zoo. Keeper HDFS Write-Ahead Logs (WAL) Metadata Tables Manage tablet assignment, balancing, compactions, and recovery operations. Develop operational procedures supporting cluster health and resiliency. Data Architecture & Modeling Design scalable Accumulo schemas and row-key strategies. Optimize: Scan performance Load distribution Hotspot avoidance Data locality Implement: Locality Groups Bloom Filters Time-series partitioning strategies High-ingest architectures Security & Data Governance Implement and manage Accumulo Cell-Level Security. Design and administer: Visibility Labels Authorizations Classification schemas Access control policies Support compliance with: RMF NIST 800-53 DoD Cybersecurity Policies Intelligence Community security requirements Maintain auditability, lineage tracking, and data retention controls. Performance Optimization & Troubleshooting Monitor and tune Accumulo cluster performance. Analyze: Tablet distribution Cache utilization Garbage Collection activity Compaction queues WAL performance HDFS health Resolve performance bottlenecks impacting ingestion, querying, and storage. Develop monitoring dashboards and performance baselines. Bulk Ingest & Data Pipelines Design and support high-volume data ingestion architectures. Implement: Bulk Imports RFiles Map. Reduce Jobs Hadoop Workflows Spark Pipelines Develop validation strategies ensuring data integrity and consistency. Optimize ingest throughput while minimizing impact to query performance. Iterator Development Design, implement, and maintain custom Accumulo iterators. Develop: Aggregation Iterators Filtering Iterators Age-Off Iterators Combiners Evaluate server-side versus client-side processing approaches. Optimize iterator stack performance. Database Administration Manage enterprise databases including: Apache Accumulo PostgreSQL MongoDB Implement backup and recovery strategies. Support disaster recovery planning and execution. Maintain high availability and system reliability. System Integration Collaborate with software development teams utilizing: Java Spring Framework REST APIs Big Data Platforms Support enterprise application integration and data services. Operations & Lifecycle Management Perform upgrades and migrations for: Accumulo Hadoop Zoo. Keeper HDFS Develop rolling upgrade strategies minimizing operational downtime. Create technical documentation, SOPs, architecture diagrams, and operational runbooks. Our organization provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, marital status, veteran status, sexual orientation, gender identity, or genetics.