Role overview

Qualifications

Demonstrated experience (minimum 5 years) in building and maintaining production data pipelines
Experience in designing, deploying, and operating Kafka / Redpanda data streaming solutions on Kubernetes
Knowledge of systems engineering principles to ensure reliability, scalability, and maintainability of data layer systems
Excellent problem-solving skills, with the ability to work independently and as part of a team

Responsibilities

Designing data workflows, pipelines, and pathways to support ETL/ELT, ensuring data quality and exchange of sensitive information
Implementing systems engineering principles to ensure reliability, scalability, and maintainability of data layer systems
Architecting, deploying, and operating data streaming technologies on Kubernetes
Working with a platform team to automate infrastructure provisioning and scaling using tools such as Terraform

Key facts

Remote from: United States
Full time
Senior (5-10 years)
Data Engineer
167 - 167K yearly
English

Hard skills

Amazon Web Services Kubernetes Data Engineering Apache Kafka Containerization Terraform Endpoint Security Database Management Machine Learning Generative Artificial Intelligence

Other skills

Problem Solving
Communication

About the company

Defense Unicorns

Defense Unicorns specializes in platform technologies that enable rapid and reliable delivery of capabilities across a wide range of mission and technology areas. We support open architecture platforms for secure mission systems that provide optionality for the end user, promote scalability, and allow for continuous identification and integration of new products and services while avoiding vendor lock. Our open approach creates partnership opportunities across the software ecosystem. Our people are innovators, software engineers, and veterans with decades of experience delivering technology programs across DoD and the broader federal market. Let's drive change together. Get in touch at hello@defenseunicorns.com

Company details

Company typeScaleup

Company size51 - 200

Links

Website LinkedIn See all jobs

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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

Who We Are

Defense Unicorns delivers mission value by streamlining software delivery so our customers can focus on the most important challenges. We share a vision of freedom and security for the advancement of progress and innovation. Our commitment to this vision, and to our mission-driven customers, means a commitment to speed, user experience and optionality, without compromising security. Our team is composed of innovators, software engineers, and veterans with decades of experience delivering technology programs across the federal market.

What We Do

We create and deliver secure solutions for continuous software integration and delivery. Defense Unicorns consolidates the best practices for security pipelines, testing, and deployment automation in order to meet the high security requirements valued by mission owners. Our solutions are agnostic by design and we believe that growing a robust ecosystem of secure, cloud-native software solutions can help enterprise customers inside and outside the federal market buy and integrate software more easily.

Who We Serve

Defense Unicorns’ customers are mission-focused leaders across public and private enterprises. We proudly support defense and civil agencies across the U.S. government and we work closely with the creators of leading-edge software solutions to deliver value to the mission-owner by improving the security and consumability of commercial software products.

What We Work On

Kubernetes
Cloud Environments (AWS/GCP and Azure)
Infrastructure-as-code (like Terraform/Pulumi)
Continuous Delivery and automation tooling
GitOps
Containers
CNCF projects and open source products and packages
Helm/Kustomize-Value Stream Mapping
Building and improving security delivery
Building Kubernetes and cloud native applications

Benefits Our Unicorns Enjoy

Health:

Medical/Dental/Vision
Premiums are 100% Company Paid
Health Savings 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)

Don’t have all the preferred experience or qualifications? Studies show that underrepresented groups like women and people of color are less likely to apply to jobs if they don't meet every requirement listed.

At Defense Unicorns, we're committed to diversity. If you're enthusiastic about the role but don't match every criteria, we encourage you to apply. You could be the perfect fit for this or another role! 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.

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