> Markdown version of [/jobs/ext/4331445-data-engineer-databricks-specialist](https://www.wearedevelopers.com/jobs/ext/4331445-data-engineer-databricks-specialist). 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 / Databricks Specialist

- **Company:** Satsyil Corporation
- **Location:** Washington, DC, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Unity 3d, Artificial Intelligence, Amazon Web Services, Amazon S3, Big Data, Databases, Continuous Integration, Information Engineering, Data Integrity, Extract Transform Load (ETL), Software Debugging, DevOps, Apache Hive, Identity and Access Management, Job Scheduling, Python (Programming Language), Machine Learning, Performance Tuning, Scrum Methodology, Query Optimization, Cloud Services, SQL Databases, Unstructured Data, Data Processing, Apache Spark, Data Lakes, Pyspark, Gitlab-ci, Machine Learning Operations, Functional Programming, Model Registry, Restful APIs, Terraform, Data Pipelines, Devsecops, Jenkins, Plan of Action and Milestones, Databricks, Web Api, Programming Languages
- **Published:** October 6, 2026
- **Apply:** https://www.dice.com/job-detail/00108749-0c96-4f7a-8d3d-ec3f32a3d278

## About the Role

· Experience: 8+ years of dedicated Data Engineering / Platform Administration experience, with 4+ years of hands-on experience in Databricks.

· 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 & DevOps: Production experience with Terraform (IaC) and CI/CD tools (Jenkins, GitLab CI, or equivalent).

· Languages & Frameworks: Deep proficiency in Python and SQL; working knowledge of REST APIs for ingestion.

· Clearance & Citizenship: U.S. Citizenship required; must have the ability to obtain and maintain a Public Trust clearance.

· Methodology & Education: Hands-on experience in Agile/Scrum delivery environments. Bachelor's degree in CS, IT, Data Science, or related engineering discipline.

Preferred Qualifications & Nice-to-Haves:

· 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).

 4. Preferred Certifications

Candidates possessing any of the following certifications will be prioritized:

· Databricks Certified Data Engineer Associate

· Databricks Certified Data Engineer Professional

· Databricks Certified Machine Learning Associate

· AWS Certified Solutions Architect - Associate or Professional

## Description

Satsyil Corp is seeking a highly skilled and motivated Senior Data Engineer / Databricks Specialist to join our team. In this role, you will play a crucial part in designing, developing, and optimizing high-performance Spark applications and managing enterprise data infrastructure within AWS Databricks. Utilizing PySpark, Python, SQL, and Delta Lake, you will architect robust ETL/ELT pipelines, maintain medallion architecture, and establish efficient big data solutions supporting mission-critical public sector and enterprise environments.

 2. Key Roles & Responsibilities

· 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, 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.