Job Requirements
Remote Tysons, VA
Public Trust Polygraph not specified
Mid Level Career (5+ yrs experience)
$150 - $180
Job Description
SATSYIL CORP | CAREERS
Senior Data Engineer / Databricks Specialist
AWS Databricks • $150K – $180K • U.S. citizens only
Eligibility: This position is open to U.S. citizens only. Proof of citizenship will be required before hire.
Mandatory certification: Active Databricks Certified Data Engineer Associate or Databricks Certified Data Engineer Professional is required at the time of application.
Role overview
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. Using 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.
Title
Senior Data Engineer / Databricks Specialist
Platform
AWS Databricks (PySpark, Python, SQL, Delta Lake)
Experience
6+ years of hands-on Databricks development
Salary
$150,000 – $180,000 per year
Clearance
Ability to obtain and maintain a Public Trust
Eligibility
U.S. citizens only
Mandatory certification
Databricks Certified Data Engineer Associate or Databricks Certified Data Engineer Professional
Key roles and 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 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.
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.
Preferred qualifications
• 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
Compensation
The salary range for this position is $150,000 – $180,000 per year, based on experience and qualifications.
How to apply
Email your resume to hr@satsyil.com with the subject line “Senior Data Engineer / Databricks Specialist.” Include your Databricks certification credential ID. Only U.S. citizens will be considered.
Equal opportunity
Satsyil Corp is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status or any other characteristic protected by law. U.S. citizenship is a requirement of this position.
Senior Data Engineer / Databricks Specialist
AWS Databricks • $150K – $180K • U.S. citizens only
Eligibility: This position is open to U.S. citizens only. Proof of citizenship will be required before hire.
Mandatory certification: Active Databricks Certified Data Engineer Associate or Databricks Certified Data Engineer Professional is required at the time of application.
Role overview
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. Using 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.
Title
Senior Data Engineer / Databricks Specialist
Platform
AWS Databricks (PySpark, Python, SQL, Delta Lake)
Experience
6+ years of hands-on Databricks development
Salary
$150,000 – $180,000 per year
Clearance
Ability to obtain and maintain a Public Trust
Eligibility
U.S. citizens only
Mandatory certification
Databricks Certified Data Engineer Associate or Databricks Certified Data Engineer Professional
Key roles and 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 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.
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.
Preferred qualifications
• 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
Compensation
The salary range for this position is $150,000 – $180,000 per year, based on experience and qualifications.
How to apply
Email your resume to hr@satsyil.com with the subject line “Senior Data Engineer / Databricks Specialist.” Include your Databricks certification credential ID. Only U.S. citizens will be considered.
Equal opportunity
Satsyil Corp is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status or any other characteristic protected by law. U.S. citizenship is a requirement of this position.
group id: 10491343