What are the responsibilities and job description for the Kubernetes Big Data Engineer position at Eliassen Group?
Description:
Hybrid 3 days onsite / 2 days remote in Rockville, MD
Our client seeks a Big Data Engineer to design and optimize large-scale data processing on AWS with Spark and Kubernetes. The role will implement containerized workloads on EMR on EKS, build scalable data pipelines, and improve performance, reliability, and observability. The engineer will collaborate with cross-functional teams, apply Spark tuning expertise, and manage Kubernetes-based infrastructure to support data-driven outcomes. Financial industry experience is beneficial.
We can facilitate w2 and corp-to-corp consultants. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance.
Rate: $54.00 to $64.00/hr. w2
JN -58
#LI-JS1
Responsibilities:
Experience Requirements:
Education Requirements:
Recruitment Transparency Notice
Eliassen Group values transparency in our recruitment practices. Please be advised that Eliassen Group utilizes artificial intelligence (AI) tools as part of its initial application screening and hiring process. You may receive email and SMS notifications from the Eliassen Virtual Recruiting Team (, ) inviting you to complete a brief voice screening as part of your application process. These tools assist our hiring teams in different ways, including but not limited to, assistance in reviewing application materials to help identify candidates whose qualifications most closely match the requirements of the position. All AI-assisted evaluations and responses are reviewed by human recruiters before any hiring decisions are made. The use of AI in our process is intended to support fairness, efficiency, and consistency, and Eliassen Group takes measures to prevent bias or discrimination in connection with its hiring practices. By proceeding, you acknowledge, agree, and consent to Eliassen Group's use of these tools, including AI tools, as part of the application and hiring process.
Skills, experience, and other compensable factors will be considered when determining pay rate. The pay range provided in this posting reflects a W2 hourly rate; other employment options may be available that may result in pay outside of the provided range.
W2 employees of Eliassen Group who are regularly scheduled to work 30 or more hours per week are eligible for the following benefits: medical (choice of 3 plans), dental, vision, pre-tax accounts, other voluntary benefits including life and disability insurance, 401(k) with match, and sick time if required by law in the worked-in state/locality.
If anyone reaches out to you about an open position connected with Eliassen Group, please ensure that you are working directly with us by confirming the following:
When you work with Eliassen Group, all email communication will come from an Eliassen.com address, never Gmail, Yahoo, etc.
Eliassen Group will never ask you for personal information (home address, bank account, or check routing number) until you have worked with someone clearly associated with Eliassen Group.
If you have any indication of fraudulent activity, please contact .
About Eliassen Group:
Eliassen Group is a strategic consulting firm that helps organizations reach further and achieve more through our technology, business advisory, and life sciences solutions. For nearly 40 years, we have combined exceptional people, deep domain expertise, and intelligent capabilities to expand our clients' capacity and accelerate meaningful outcomes. We are driven by a purpose to positively impact the lives of our employees, clients, consultants, and the communities we serve.
Eliassen is committed to building a diverse and inclusive team from a variety of backgrounds, perspectives, and skills. We are an Equal Opportunity and Affirmative Action Employer and all employment decisions are based on merit, performance, and business needs. Eliassen does not discriminate on the basis of race, color, gender identity or expression, sexual preference or orientation, sex (including pregnancy, childbirth, and related medical conditions), marital status, creed, religion, physical or mental disability, genetic information, military or veteran status, age, ancestry, national origin, citizenship status, prohibited criminal record inquiries of applicants and employees, or any other category protected by federal, state, or local laws.
Don't miss out on our referral program! If we hire a candidate that you refer us to then you can be eligible for a $1,000 referral check!
Hybrid 3 days onsite / 2 days remote in Rockville, MD
Our client seeks a Big Data Engineer to design and optimize large-scale data processing on AWS with Spark and Kubernetes. The role will implement containerized workloads on EMR on EKS, build scalable data pipelines, and improve performance, reliability, and observability. The engineer will collaborate with cross-functional teams, apply Spark tuning expertise, and manage Kubernetes-based infrastructure to support data-driven outcomes. Financial industry experience is beneficial.
We can facilitate w2 and corp-to-corp consultants. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance.
Rate: $54.00 to $64.00/hr. w2
JN -58
#LI-JS1
Responsibilities:
- Design, develop, and maintain large-scale data processing pipelines using Hadoop, Spark, Python, and Scala.
- Architect and deploy containerized big data workloads on Amazon EMR on EKS.
- Design and implement Kubernetes-based infrastructure for running Spark applications at scale.
- Implement scalable ingestion, storage, transformation, and analysis solutions.
- Stay current with industry trends and emerging big data technologies to improve architecture.
- Collaborate with cross-functional teams to translate business requirements into technical solutions.
- Optimize and enhance existing data pipelines for performance, scalability, and reliability.
- Develop automated testing frameworks and implement continuous testing for data quality.
- Conduct unit, integration, and system testing for data pipeline robustness and accuracy.
- Support data scientists and analysts with reliable datasets and tooling.
- Write and maintain automated unit, integration, and end-to-end tests.
- Monitor and troubleshoot production data pipelines and resolve issues.
- Manage Kubernetes clusters, pods, services, and deployments for big data workloads.
Experience Requirements:
- Hands-on experience with AI development tools such as GitHub Copilot, Q Developer, ChatGPT, or Claude.
- Proficiency with Hadoop, Spark, Hive, and Trino.
- Experience addressing data skew, petabyte-scale processing, and remediation of resource, data quality, and scalability issues.
- Strong Kubernetes experience including pods, services, deployments, namespaces, ConfigMaps, and Secrets.
- Hands-on EMR on EKS experience for Spark workloads.
- Kubernetes resource management, scheduling, and auto-scaling expertise.
- Knowledge of Helm charts, Kubernetes networking, PVs/PVCs, security best practices, kubectl, and YAML manifests.
- Ability to troubleshoot cluster issues, pod failures, resource constraints, and Spark-on-Kubernetes integration with dynamic allocation.
- Prompt engineering, AI workflow design, AI-driven analysis, and change management for AI adoption.
- Deep understanding of Spark internals including executors, tasks, stages, and DAGs.
- Spark performance tuning including partitioning, caching, and broadcast joins with proven optimization of large datasets.
- Experience troubleshooting slow or stuck Spark jobs and resource issues.
- Strong AWS experience including S3, EMR, EMR on EKS, Glue, Lambda, and Athena.
- Hands-on S3 usage with Spark including file formats and consistency behaviors.
- Amazon EKS architecture and best practices, IAM roles for service accounts (IRSA), and VPC networking for EKS.
- AWS monitoring and logging for Kubernetes using CloudWatch and CloudTrail; familiarity with serverless services such as Lambda and Fargate.
- Proficiency in Python or Scala with clean, modular, performant code and functional programming concepts.
- Strong understanding of collections, concurrency, and memory management.
- Advanced SQL skills including window functions, multi-table joins, aggregations, and edge case handling.
- Production ETL/pipeline management experience (preferred).
- CI/CD experience with tools such as Jenkins, GitLab CI, GitHub Actions, or ArgoCD (preferred).
- Infrastructure as Code for EKS and EMR on EKS using Terraform or CloudFormation (preferred).
- Comprehensive test case development and test automation experience (preferred).
- Docker and container image optimization experience (preferred).
- Knowledge of service mesh such as Istio or Linkerd (preferred).
- Monitoring and observability with Prometheus, Grafana, or ELK (preferred).
- AWS or Kubernetes certifications such as AI Practitioner, Solutions Architect, Big Data Specialty, CKA, or CKAD (preferred).
- Experience with GitOps practices for Kubernetes deployments (preferred).
Education Requirements:
- Bachelor's degree in Computer Science, Information Systems, or related discipline, or equivalent training and work experience.
- Master's degree preferred.
- AWS certifications such as AI Practitioner, Solutions Architect, or Big Data Specialty (preferred).
- Kubernetes certifications such as CKA or CKAD (preferred).
Recruitment Transparency Notice
Eliassen Group values transparency in our recruitment practices. Please be advised that Eliassen Group utilizes artificial intelligence (AI) tools as part of its initial application screening and hiring process. You may receive email and SMS notifications from the Eliassen Virtual Recruiting Team (, ) inviting you to complete a brief voice screening as part of your application process. These tools assist our hiring teams in different ways, including but not limited to, assistance in reviewing application materials to help identify candidates whose qualifications most closely match the requirements of the position. All AI-assisted evaluations and responses are reviewed by human recruiters before any hiring decisions are made. The use of AI in our process is intended to support fairness, efficiency, and consistency, and Eliassen Group takes measures to prevent bias or discrimination in connection with its hiring practices. By proceeding, you acknowledge, agree, and consent to Eliassen Group's use of these tools, including AI tools, as part of the application and hiring process.
Skills, experience, and other compensable factors will be considered when determining pay rate. The pay range provided in this posting reflects a W2 hourly rate; other employment options may be available that may result in pay outside of the provided range.
W2 employees of Eliassen Group who are regularly scheduled to work 30 or more hours per week are eligible for the following benefits: medical (choice of 3 plans), dental, vision, pre-tax accounts, other voluntary benefits including life and disability insurance, 401(k) with match, and sick time if required by law in the worked-in state/locality.
If anyone reaches out to you about an open position connected with Eliassen Group, please ensure that you are working directly with us by confirming the following:
When you work with Eliassen Group, all email communication will come from an Eliassen.com address, never Gmail, Yahoo, etc.
Eliassen Group will never ask you for personal information (home address, bank account, or check routing number) until you have worked with someone clearly associated with Eliassen Group.
If you have any indication of fraudulent activity, please contact .
About Eliassen Group:
Eliassen Group is a strategic consulting firm that helps organizations reach further and achieve more through our technology, business advisory, and life sciences solutions. For nearly 40 years, we have combined exceptional people, deep domain expertise, and intelligent capabilities to expand our clients' capacity and accelerate meaningful outcomes. We are driven by a purpose to positively impact the lives of our employees, clients, consultants, and the communities we serve.
Eliassen is committed to building a diverse and inclusive team from a variety of backgrounds, perspectives, and skills. We are an Equal Opportunity and Affirmative Action Employer and all employment decisions are based on merit, performance, and business needs. Eliassen does not discriminate on the basis of race, color, gender identity or expression, sexual preference or orientation, sex (including pregnancy, childbirth, and related medical conditions), marital status, creed, religion, physical or mental disability, genetic information, military or veteran status, age, ancestry, national origin, citizenship status, prohibited criminal record inquiries of applicants and employees, or any other category protected by federal, state, or local laws.
Don't miss out on our referral program! If we hire a candidate that you refer us to then you can be eligible for a $1,000 referral check!
Salary : $54 - $64