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# Senior Data Engineer

- **Company:** Databricks, Inc.
- **Location:** Aldie, VA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Agile Methodology, Airflow, Amazon Web Services, Microsoft Azure, Big Data, Cloud Database, Code Review, Continuous Integration, Data Validation, Information Engineering, Data Governance, Data Infrastructure, Extract Transform Load (ETL), Data Security, Data Warehousing, Python (Programming Language), NoSQL, Performance Tuning, SQL Databases, Workflow Management Systems, Data Processing, Freeform SQL, Data Ingestion, Snowflake, Apache Spark, Git, Data Lakes, Pyspark, Apache Kafka, Video Streaming, Data Pipelines, Databricks
- **Published:** October 14, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=eb91561f844de107

## About the Role

* 8 years of experience in Data Engineering.

 * Strong proficiency in Python, SQL, and ETL/ELT processes.

 * Hands-on experience with PySpark and Apache Spark.

 * Experience with AWS, Azure, or GCP.

 * Knowledge of data warehousing and data lake architecture.

 * Experience with Snowflake, Databricks, or other modern data platforms.

 * Familiarity with Apache Airflow or similar orchestration tools.

 * Experience with relational and NoSQL databases.

 * Knowledge of Git, CI/CD, and data pipeline monitoring.

 * Strong analytical, troubleshooting, and communication skills.

Preferred Qualifications

 * Experience with Kafka or other streaming technologies.

 * Familiarity with Delta Lake and cloud-based data architectures.

 * Experience with data modeling and data governance.

 * Experience working in Agile/Scrum environments.

Work Location: Hybrid remote in Aldie, VA 20105

## Description

We are looking for a Senior Data Engineer with 8 years of experience in designing, developing, and maintaining scalable data pipelines and data engineering solutions. The ideal candidate should have strong expertise in Python, SQL, ETL/ELT, cloud platforms, and big data technologies., * Design, develop, and maintain scalable ETL/ELT pipelines.

 * Develop data processing solutions using Python, PySpark, and SQL.

 * Build and optimize data ingestion and transformation workflows.

 * Work with large datasets, data lakes, and data warehouses.

 * Develop and optimize complex SQL queries and database operations.

 * Implement data quality checks, validation, and error-handling processes.

 * Work with cloud platforms such as AWS, Azure, or GCP.

 * Use Apache Spark and workflow orchestration tools to process and manage data pipelines.

 * Collaborate with data architects, analysts, and business teams to understand requirements.

 * Monitor pipeline performance, troubleshoot issues, and support production environments.

 * Follow best practices for data security, governance, and performance optimization.

 * Participate in code reviews, technical discussions, and Agile ceremonies.