Sr. Databricks Consultant

Electronic Consulting Services, Inc (ECS Federal); Fairfax (VA); Remote; USD 160,000 - 205,000; Full time

Job summary

A leading technology services provider is seeking a Sr. Databricks Consultant to work remotely. The role involves designing and optimizing Databricks environments for data analytics and machine learning. Candidates should have experience in Databricks, strong Python and SQL skills, and be able to obtain a US Security Clearance. The salary range is $160,000 – $205,000, with opportunities to work on cutting-edge technologies.

Qualifications

• Proven experience working with Databricks in production environments.
• Strong proficiency in Python and/or SQL for data engineering.
• Experience with Apache Spark for distributed data processing.
• Able and willing to obtain a US Security Clearance.

Responsibilities

• Design, build, and maintain scalable ETL/ELT pipelines in Databricks.
• Optimize workflows and clusters for performance and cost efficiency.
• Integrate Databricks with cloud platforms.
• Collaborate with stakeholders to deliver quality datasets.

Skills

Databricks experience

Python proficiency

SQL proficiency

Apache Spark experience

Cloud platforms knowledge

CI/CD familiarity

Data modeling skills

Project management skills

Education

Bachelor’s degree in Computer Science or related field

Tools

Databricks

AWS

Azure

Google Cloud Platform

MLflow

Job description

Job Description

ECS is seeking a Sr. Databricks Consultant to work remotely . Please Note: This position is contingent upon contract award.

We are seeking a skilled individual with deep experience in Databricks to join our team. The primary responsibility of this role is to consult with customers to design, optimize, and fine-tune their Databricks environments for advanced data analytics, machine learning, and AI-driven insights. Leveraging tools such as Delta Lake, MLflow, and Databricks Machine Learning, the Data Scientist will play a crucial role in enabling clients to maximize performance, scalability, and value from their data platforms.

This role will support ECS’s Professional Services and Managed Cybersecurity Services programs, with a focus on Databricks solutions. You will specialize in data pipeline optimization, scalable model training, and advanced analytics on Databricks, offering you a unique opportunity to work with leading-edge technologies and collaborate with clients to deliver measurable improvements in data-driven decision-making. If you are passionate about applying data science techniques within the Databricks ecosystem to solve real-world challenges, we encourage you to apply.

Responsibilities

• Design, build, and maintain scalable ETL/ELT pipelines in Databricks.
• Optimize workflows and clusters for performance and cost efficiency.
• Integrate Databricks with cloud platforms (AWS, Azure, or Google Cloud Platform).
• Implement data governance, security, and compliance standards.
• Collaborate with data scientists, analysts, and business stakeholders to deliver high-quality datasets and insights.
• Troubleshoot issues and drive continuous improvement in data infrastructure.

Salary Range: $160,000 – $205,000

General Description of Benefits

Required Skills

• Proven experience working with Databricks in production environments.
• Strong proficiency in Python and/or SQL for data engineering.
• Experience with Apache Spark for distributed data processing.
• Knowledge of data lakehouse architecture and best practices.
• Experience with cloud data platforms (AWS S3, Azure Data Lake, or Google Cloud Platform Storage).
• Hands-on experience building and managing ETL/ELT pipelines.
• Strong understanding of data modeling, data quality, and performance tuning.
• Familiarity with CI/CD pipelines and version control (Git).
• Able and willing to obtain a US Security Clearance.
• Ability to travel, as needed, to customer sites.
• Bachelor’s degree; preferably in Computer Science, Information Security, or a related field. Will consider experience in lieu of a degree.

Desired Skills

• Master’s degree or PhD in Computer Science, Data Science, or a related field
• Experience with machine learning pipelines in Databricks (MLflow).
• Knowledge of Delta Lake and Unity Catalog for governance.
• Familiarity with streaming technologies (Kafka, Kinesis, or Event Hubs).
• Exposure to data visualization tools (Tableau, Power BI, or Looker).
• Experience with Terraform, ARM, or CloudFormation for infrastructure as code.
• Background in data security and compliance (HIPAA, FedRAMP, SOC2, etc.).
• Strong understanding of DevOps/MLOps practices.
• Prior consulting or customer-facing experience
• Skills in project management and familiarity with methodologies like Agile can be beneficial, particularly in managed service environments.

ECS is an equal opportunity employer and does not discriminate or allow discrimination on the basis any characteristic protected by law. All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, or local jurisdiction law.

ECS is a leading mid-sized provider of technology services to the United States Federal Government. We are focused on people, values and purpose. Every day, our 3500+ employees focus on providing their technical talent to support the Federal Agencies and Departments of the US Government to serve, protect and defend the American People.