Senior Data Engineer

United States·Herndonsenior

Data EngineerData

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Quick Summary

Key Responsibilities

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,

Requirements Summary

B.S.

Technical Tools

Data EngineerData

Responsibilities

~1 min read

→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.

Requirements

~2 min read

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

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

This position has hybrid schedule flexibility. The salary range is expected to be between $150,000 to $175,000, commensurate on experience.

We are proud to be an EEO/AA employer Minorities/Women/Veterans/Disabled and other protected categories.

We are strictly looking for direct, full-time W2 employees. We do not engage with third-party staffing agencies, C2C, or 1099 independent contractors for this role.

In compliance with federal law, all persons hired will be required to verify identity, confirm US Citizenship, and complete the required employment eligibility verification upon hire.