Senior Big Data Engineer

Nyla Technology Solutions•Annapolis Junction, MD

1d•Onsite

About The Position

We are seeking a hands-on, heavy-hitting Software Engineer specializing in distributed big data infrastructure and processing to join our team in Annapolis Junction, MD. In this role, you will design, enhance, and sustain processing-intensive data analytics, Map/Reduce engines, and Accumulo datastores handling massive datasets. You won't just write code—you will active manage, deploy, and troubleshoot low-level cluster operations, handling real-world issues like offlining bad HDFS nodes or troubleshooting degraded Accumulo tservers. Leveraging Java, Ansible automation, and Kubernetes orchestration, you will directly support Data Warehouse architectures and critical processing pipelines. If you thrive on keeping complex big data environments performing at peak speed and reliability, you’ll fit right in with Team Nyla.

Requirements

ACTIVE SECURITY CLEARANCE AT THE TS/SCI POLYGRAPH LEVEL IS REQUIRED
Practical experience deploying, configuring, and troubleshooting Hadoop, Map/Reduce, Accumulo, and ZooKeeper infrastructure.
Strong proficiency in core Java for distributed data processing applications and analytic development.
Direct experience writing Map/Reduce applications, custom Accumulo iterators, scanners, and managing bulk/streaming ingest pipelines.
Hands-on experience isolating and fixing cluster failures (e.g., node offlining, bad disks, memory failures on tservers).
Proficiency developing and running Ansible playbooks.
Foundational experience deploying/troubleshooting workloads in Kubernetes.
Familiarity with high-throughput Data Warehouse processing workflows and pipeline architectures.
Bachelor’s Degree in Computer Science, Computer Engineering, Software Engineering, or a related technical discipline, PLUS 14 + years of professional software engineering experience OR High School Diploma / GED , PLUS 18+ years of hands-on technical software development experience in lieu of a degree.

Nice To Haves

Experience authoring custom Helm charts, operators, or managing multi-tenant Kubernetes clusters.
Deep shell scripting skills (Bash) and low-level Linux kernel tuning for big data storage nodes.
Experience integrating automated testing and build pipelines for big data components using GitLab CI/CD or Jenkins.
Background in optimizing Accumulo schema designs and tablet distributions for large-scale analytical queries.

Responsibilities

Design, enhance, and sustain processing-intensive data analytics, Map/Reduce engines, and Accumulo datastores handling massive datasets.
Actively manage, deploy, and troubleshoot low-level cluster operations.
Handle real-world issues like offlining bad HDFS nodes or troubleshooting degraded Accumulo tservers.
Directly support Data Warehouse architectures and critical processing pipelines using Java, Ansible automation, and Kubernetes orchestration.