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# Sr. Databricks Consultant

- **Company:** ECS Federal, LLC.
- **Location:** Washington, DC, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Agile Methodology, Amazon S3, Microsoft Azure, Cyber Security, Information Engineering, Extract Transform Load (ETL), Data Security, Data Visualization, DevOps, Distributed Computing Environment, Python (Programming Language), Performance Tuning, Power BI, Cloud Services, Azure Data Lake, Software Engineering, SQL Databases, Tableau (Software), Azure Service Bus, Data Processing, Scripting, Apache Spark, Git, Cloudformation, SC Clearance, Data Lakes, Information Technology, Apache Kafka, Machine Learning Operations, Data Lakehouse, Video Streaming, Terraform, Looker Analytics, Software Version Control, Data Pipelines, Databricks
- **Published:** October 30, 2026
- **Apply:** https://www.careerbuilder.com/job-details/sr-databricks-consultant-washington-dc--ac851256-f573-4aba-92b4-94b18e87e669

## About the Role

Consulting, Secret Clearance, Production Systems, Python Programming/Scripting Language, SQL (Structured Query Language), Software Engineering, Apache Spark, Data Processing, Best Practices, Microsoft Windows Azure, * Active Secret Clearance

 * 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 GCP 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).
 * Ability to travel, as needed, to customer sites.
 * Must be a US Citizen per contract.
 * Bachelor's degree; preferably in Computer Science, Information Security, or a related field. Will consider experience in lieu of a degree.
 * 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.