> Markdown version of [/jobs/ext/2720384-data-engineer](https://www.wearedevelopers.com/jobs/ext/2720384-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). --- # Data Engineer - **Company:** Dark Wolf Solutions - **Location:** Herndon, VA, United States - **Experience:** Expert - **Salary:** $150,000.0 - $175,000.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), JavaScript (Programming Language), Agile Methodology, Artificial Intelligence, Airflow, Amazon Web Services, Amazon S3, Automation of Tests, Big Data, Data as a Services, Data Validation, Information Engineering, Data Infrastructure, Persistent Data Structure, Data Systems, Database Schema, DevOps, Django Web Framework, Python (Programming Language), Node.Js, Object-Relational Mapping, Scrum Methodology, Svelte, Software Engineering, Software Systems, SQL Databases, User-Centered Design, Openapi, Test-Driven Development (TDD), ReactJS, Fast Healthcare Interoperability Resources, Flask (Web Framework), Apache Spark, Spring-boot, Fastapi, Vue.js, Kubernetes, Information Technology, Rancher, Health Level Seven International, Data Management, Restful APIs, Data Pipelines, Devsecops, AWS EKS, Amazon Elastic Mapreduce (EMR), Programming Languages, Microservices - **Published:** September 4, 2026 - **Apply:** https://startup.jobs/senior-data-engineer-dark-wolf-solutions-8408839 ## About the Role * B.S. in Computer Science (or equivalent experience) and at least 8 years of professional experience working as part of an Agile team using DevOps practices and modern programming languages and frameworks to develop and engineer data-related services and applications to cloud platforms * Experience with modern programming languages and frameworks including Python (FastAPI, Django, Flask), JavaScript (Node.js, Express, Vue, Svelte, React), and Java (Spring Boot) * Experience developing data focused solutions to include experience designing and implementing OpenAPI compliant data schemas and REST APIs, implementing data persistence and query logic using Object Relational Mapping (ORM) libraries and SQL, and implementing data validation business rules * Experience developing AWS cloud solutions with a specific focus on data services such as S3, RDS, and EMR * Experience building scalable, production-grade data solutions that can be used by thousands of data consumers concurrently * US Citizenship and an active Secret security clearance Desired Qualifications: * M.S in Computer Science or related * Experience with AI/ML * Experience with Kubernetes (Rancher RKE2, AWS EKS) and microservice architectures * Experience with data engineering and big data technologies such as Apache Airflow, Trino, and AWS EMR * Experience with NIST Risk Management Framework and security accreditation process and tasks * Experience with HL7, FHIR, and Mirth Connect * Experience with dbt and Apache Spark * Familiarity with Great Expectations, data contracts, and data validation ## Description Dark Wolf is looking for a Senior Data Engineer to join our team in Herndon, VA supporting the Defense Health community. This position will have hybrid/remote flexibility. The Data Engineer will be responsible for designing, building, and optimizing robust data pipelines and data infrastructure to ensure the reliability, accessibility, and quality of operational medicine data for analytics and mission-critical applications. The ideal candidate will leverage extensive experience with data engineering principles, DevSecOps best practices, and Test Driven Development (TDD) principles to rapidly develop and deliver first-class, customer-centric software solutions. They will utilize leading languages and frameworks, including Python (FastAPI), AWS, SQL (Trino SQL), and Rancher Kubernetes, to develop high-performance data engineering solutions, automate testing, and ensure delivered software meets and exceeds customer needs, all while working collaboratively within a dedicated team., * Using DevSecOps best practices to rapidly develop and deliver first class solutions for a DoW customer. * Developing software using leading languages and frameworks including Python (FastAPI), AWS, SQL (Trino SQL), and Rancher Kubernetes. * Building high-throughput data pipelines that aggregate, standardize, and process large volumes of heterogeneous data with Apache Spark, DBT, and Trino. * Establishing RESTful API endpoints that rapidly return large volumes of analytical health data. * Taking ownership of project domains and quickly becoming proficient in novel subjects. * Leveraging Test Driven Development and User Centered design best practices automate testing and ensure delivered software meets and exceeds customer needs. * Applying software design best practices to identify and analyze potential solutions, generate design diagrams to convey and capture system design, and participate in technical exchange meetings to discuss with the team and customer stakeholders. * Embracing a shared responsibility for system security. * Continuously engaging with project teams to deliver quality products. * Participating in daily standups, sprint planning/review meetings, discover and framing workshops, and customer demo sessions. ## Related Videos - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [Svelte ♥ TypeScript and so will you](https://www.wearedevelopers.com/videos/493-svelte-typescript-and-so-will-you) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Lessons learned from building a thriving Vue.js SaaS application](https://www.wearedevelopers.com/videos/1666-lessons-learned-from-building-a-thriving-vue-js-saas-application) - [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) - [On tour with heroes == Moving from Angular to WebComponents](https://www.wearedevelopers.com/videos/63-on-tour-with-heroes-moving-from-angular-to-webcomponents) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [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) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know)