Data Engineer

Defense Unicorns; United States; On-site; USD 124,250 - 166,750; Full time

Benefits offered by this job

Medical/Dental/Vision

401k Retirement Plan

Flexible Time Off

Job summary

Limelight Health is looking for a Data Engineer to design and implement robust data workflows on Kubernetes. The ideal candidate will have at least 5 years of experience in building production data pipelines and must be familiar with container technologies like Docker and data streaming solutions including Kafka. This remote position requires U.S. citizenship, ensuring compliance with both industry regulations and cybersecurity principles.

Benefits include comprehensive health coverage, 401k options, flexible time off, and support for ongoing training and development.

Qualifications

• Minimum 5 years of experience in building and maintaining production data pipelines.
• Able to process data in large volumes and manage data stores.
• Familiarity with cybersecurity principles and best practices.

Responsibilities

• Design and implement data workflows and pipelines for ETL/ELT.
• Architect and operate data streaming technologies on Kubernetes.
• Ensure compliance with industry regulations and best practices.

Skills

Data pipelines management

Systems engineering principles

Kubernetes

Kafka

Docker

Problem-solving skills

Communication skills

Tools

AWS Cloud

Terraform

Machine learning

Job description

EMPLOYER IS A CONTRACTOR FOR THE U.S. GOVERNMENT. THIS POSITION WILL REQUIRE U.S. CITIZENSHIP.

Responsibilities:

• Designing data workflows, pipelines, and pathways to support ETL/ELT, while ensuring data-quality and exchange of sensitive information across AWS cloud and on-prem environments.
• Implementing systems engineering principles to ensure the reliability, scalability, and maintainability of data layer systems, including backup and recovery strategies
• Architecting, deploying, and operating data streaming technologies (Kafka, Redpanda, Kinesis, etc) on Kubernetes with an emphasis on declarative definitions to reduce complexity in day-2 operations
• Working with a platform team to implement best practices for configuration management, security, and performance optimization within Kubernetes and AWS environments
• Working with a platform team to automate infrastructure provisioning, monitoring, and scaling using tools such as Terraform working with cybersecurity SMEs to incorporate best practices and techniques to defend our data layer against potential threats
• Ensuring that our data layer systems are compliant with industry and DoD regulations, standards, and best-practices
• Staying up-to-date with industry trends and emerging technologies related to Kubernetes, containerization, and data engineering

Travel Expectations/Requirements: 6-10 times per year

The listed responsibilities are not exhaustive and additional responsibilities may be assigned based on the evolving needs of the organization. We are seeking a dynamic individual who is able to adapt and take on new responsibilities as they arise.

Preferred Experience and Qualifications:

• Demonstrated experience (minimum 5 years) in building and maintaining production data pipelines, databases, and data exchange services on Kubernetes; experience in designing, deploying, and operating Kafka / Redpanda data streaming solutions on Kubernetes
• Experience in creating data pipelines from scratch with the ability to process data in large volumes and manage data stores
• Experience with containerization technologies such as Docker and container orchestration systems like Kubernetes
• Knowledge of systems engineering principles to ensure the reliability, scalability, and maintainability of data layer systems; familiarity with API Security, Container Security, AWS Cloud Security; familiarity with cybersecurity principles and best practices for securing data layer systems
• Excellent problem‑solving skills, with the ability to work independently and as part of a team
• Excellent communication skills, with the ability to convey complex ideas to both technical and non‑technical team members
• The selected candidate will be subject to a pre‑employment background check ("CBI") and must be able to obtain and maintain a Secret‑level DoD security clearance
• Experience with machine learning and generative AI models

Full compensation packages are based on candidate experience. Compensation ranges are established using national benchmarking data and apply across all geographic locations within the United States.

Remote - USA

$124,250 — $166,750 USD

Benefits Our Unicorns Enjoy

Health:

• Medical/Dental/Vision
• Premiums are 100% Company Paid
• Health Reimbursement Account
• Life Insurance
• Disability Insurance

Financial:

• 401k Retirement Plan
• Company Stock Options
• Home Office Budget

Leave:

• We offer all full‑time Unicorns Flexible Time Off (FTO) plus all Federal Holidays, one week for Thanksgiving, and two weeks for Christmas and New Year’s
• Paid Parental Leave

Learning:

• Reimbursement for approved trainings/subscriptions
• Conferences (travel, lodging, and fees)

We are committed to diversity. If you're enthusiastic about the role but don't match every criteria, we encourage you to apply. Defense Unicorns is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, disability, sex, sexual orientation, gender identity or expression, age, national origin, veteran status, genetic information, union status and/or beliefs, or any other characteristic protected by federal, state, or local law.