> Markdown version of [/jobs/ext/2563909-senior-big-data-engineer](https://www.wearedevelopers.com/jobs/ext/2563909-senior-big-data-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Senior Big Data Engineer

- **Company:** Nyla Technology Solutions
- **Location:** Annapolis Junction, MD, United States
- **Experience:** Expert
- **Salary:** $186,000.0 - $220,000.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Apache Accumulo, Automation of Tests, Bash Shell, Big Data, Computer Engineering, System Configuration, Continuous Integration, Data Warehousing, Distributed Computing Environment, Apache Hadoop, Hadoop Distributed File System, MapReduce, Linux Kernel, Linux System Administration, Node.Js, Ansible, Shell Script, Software Engineering, Data Streaming, Apache Zookeeper, Delivery Pipeline, Kubernetes Helm Charts, Gitlab-ci, Kubernetes, Information Technology, Data Analytics, Data Pipelines, Jenkins
- **Published:** August 3, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=028f80596f74965d

## About the Role

Big Data Infrastructure & Sustainment: Practical experience deploying, configuring, and troubleshooting Hadoop, Map/Reduce, Accumulo, and ZooKeeper infrastructure.

Java Engineering: Strong proficiency in core Java for distributed data processing applications and analytic development.

Map/Reduce & Accumulo Development: Direct experience writing Map/Reduce applications, custom Accumulo iterators, scanners, and managing bulk/streaming ingest pipelines.

Cluster Operations & Hardware Troubleshooting: Hands-on experience isolating and fixing cluster failures (e.g., node offlining, bad disks, memory failures on tservers).

Automated Configuration & Containers: Proficiency developing and running Ansible playbooks alongside foundational experience deploying/troubleshooting workloads in Kubernetes.

Data Warehouse Pipelines: Familiarity with high-throughput Data Warehouse processing workflows and pipeline architectures.

Education: Bachelor's Degree in Computer Science, Computer Engineering, Software Engineering, or a related technical discipline, PLUS 7+ years of professional software engineering experience OR Master's Degree in a related field, PLUS 5+ years of specialized software engineering experience OR High School Diploma / GED, PLUS 11+ years of hands-on technical software development and big data administration experience in lieu of a degree.
,
Desired Skills

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

## Description

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.


## Related Videos

- [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology)
- [Stop using Node.js like in 2020! What changed and what you can do today with Node.js](https://www.wearedevelopers.com/videos/100011-stop-using-node-js-like-in-2020-what-changed-and-what-you-can-do-today-with-node-js)
- [The Road to MLOps: How Verivox Transitioned to AWS](https://www.wearedevelopers.com/videos/1050-the-road-to-mlops-how-verivox-transitioned-to-aws)
- [Dev & Test in the Cloud? Deploy your cloud environments with Ansible & Terraform](https://www.wearedevelopers.com/videos/1607-dev-test-in-the-cloud-deploy-your-cloud-environments-with-ansible-terraform)
- [Our GitOps approach for deploying an Identity Provider and an API Gateway in a SaaS company](https://www.wearedevelopers.com/videos/776-our-gitops-approach-for-deploying-an-identity-provider-and-an-api-gateway-in-a-saas-company)
- [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works)

## Related Articles

- [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know)
- [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again)
- [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story)
- [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers)
- [Is Software Engineering Over-Saturated?](https://www.wearedevelopers.com/magazine/418-is-software-engineering-over-saturated)
- [What’s the Difference between a Junior, Mid, and Senior Developer?](https://www.wearedevelopers.com/magazine/238-what-s-the-difference-between-a-junior-mid-and-senior-developer)