> Markdown version of [/jobs/ext/4715439-senior-data-engineer-databricks-specialist-us-citizens-only-remote-role](https://www.wearedevelopers.com/jobs/ext/4715439-senior-data-engineer-databricks-specialist-us-citizens-only-remote-role). 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).

---

# Senior Data Engineer / Databricks Specialist - US Citizens Only - Remote Role

- **Company:** Vinsys Information Technology, Inc
- **Location:** McLean, VA, United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Unity 3d, Artificial Intelligence, Amazon Web Services, Amazon S3, Big Data, Databases, Continuous Integration, Data Integrity, Extract Transform Load (ETL), DevOps, Apache Hive, Identity and Access Management, Job Scheduling, Python (Programming Language), Machine Learning, Performance Tuning, Scrum Methodology, Query Optimization, Cloud Services, SQL Databases, Data Processing, Apache Spark, Software Troubleshooting, Data Lakes, Pyspark, Gitlab-ci, Semi-structured Data, Machine Learning Operations, Functional Programming, Model Registry, Restful APIs, Terraform, Data Pipelines, Devsecops, Jenkins, Plan of Action and Milestones, Databricks, Web Api
- **Published:** November 14, 2026
- **Apply:** https://www.careerjet.com/jobad/us35f80028df8bb99abe12312b8faaece8

## About the Role

Required experience and technical skills

 * Citizenship: U.S. citizenship required.
 * Mandatory certification: Active Databricks Certified Data Engineer Associate or Databricks Certified Data Engineer Professional.
 * Experience: 6+ years of dedicated hands-on experience in Databricks development.
 * Core big data stack: Production proficiency with PySpark, Spark SQL, Apache Spark and Delta Lake.
 * Cloud ecosystem: Strong experience in AWS Cloud services including S3, IAM, Lambda, Glue and Aurora.
 * Automation and DevOps: Production experience with Terraform (IaC) and CI/CD tools (Jenkins, GitLab CI or equivalent).
 * Languages and frameworks: Deep proficiency in Python and SQL; working knowledge of REST APIs for ingestion.
 * Clearance: Ability to obtain and maintain a Public Trust.
 * Methodology and education: Hands-on experience in Agile/Scrum delivery environments. Bachelor s degree in CS, IT, Data Science or a related engineering discipline., * Hands-on experience with Unity Catalog, Delta Live Tables (DLT) and AI/ML pipeline support (MLflow, Model Registry).
 * Experience in Federal Government contracting and compliance frameworks (FISMA / FedRAMP environments).
 * Active security clearance (Public Trust or higher).

Preferred certifications
In addition to the mandatory Databricks Data Engineer certification, candidates holding any of the following will be prioritized:

 * Databricks Certified Machine Learning Associate
 * AWS Certified Solutions Architect Associate or Professional
 * AWS Certified Data Engineer Associate

## Description

* Develop and optimize scalable Spark applications in AWS Databricks using Python, PySpark and SQL to support data processing and analytics needs.
 * Design, build and maintain robust ETL/ELT pipelines and implement Medallion Architecture (Bronze, Silver, Gold layers), ensuring data integrity, completeness and lineage.
 * Administer Databricks workspaces, including cluster provisioning, job scheduling, access controls, Unity Catalog and notebook management.
 * Manage AWS cloud infrastructure assets including S3, Lambda, IAM, Aurora and Glue, and provision environments using Terraform Infrastructure-as-Code (IaC).
 * Perform query optimization, performance tuning, troubleshooting and debugging for complex Spark jobs and large-scale data solutions.
 * Merge, consolidate and process structured, semi-structured and unstructured data sets from diverse API endpoints and databases.
 * Embed security gates and compliance controls within DevSecOps CI/CD pipelines (Jenkins, GitLab CI) to support FISMA/FedRAMP requirements, ATO reassessments and POA&M resolution.
 * Implement rigorous data quality controls, anomaly detection, validation rules and automated lineage tracking across all pipelines.
 * Collaborate within cross-functional Agile/Scrum teams in multi-contractor federal environments, providing technical leadership and production on-call support.