Databricks Data Engineer
Job in
Irving, Dallas County, Texas, 75084, USA
Listed on 2026-06-18
Listing for:
VOLTO Consulting
Full Time
position Listed on 2026-06-18
Job specializations:
-
IT/Tech
Data Engineering, Cloud Computing: Infrastructure & Operations, Data Science Manager
Job Description & How to Apply Below
Job Title
Databricks Data Engineer
LocationIrving, TX (Onsite)
TypeFull Time with TCS
Experience Required8+ years
Job DescriptionAs a Databricks Data Engineer, you will be responsible for designing, developing, and maintaining data solutions for data generation, collection, and processing in a Big Data environment using predominantly PySpark/Python. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across systems using PySpark.
Roles & Responsibilities- Collaborate closely with data scientists, data engineers, and business stakeholders to gather requirements and understand the business objectives driving data pipeline development.
- Design, develop, and maintain robust, scalable high-performance Data Pipelines using Databricks.
- Leverage Databricks features such as Lakehouse and Delta Lake for efficient data storage and Spark for distributed processing.
- Develop ETL/ELT pipelines using Databricks.
- Monitor pipeline health, troubleshoot data issues.
- Migrate on-prem PySpark, SAS data pipelines and ML Models to Databricks.
- Define and implement best practices in Databricks.
- Evaluate new Databricks features and tools, helping the organization stay at the forefront of innovation in AI and Big Data.
- Collaborate with cross-functional teams to identify and resolve data-related issues.
- Proven expertise in implementing Lakehouse and Delta Lake using Databricks.
- Strong PySpark and Python experience.
- Databricks Certified Data Engineer Professional Certification.
- Familiarity with ML Ops/LLM Ops and distributed systems.
- Experience with Big Data platforms like Cloudera Hadoop and cloud platforms like AWS, GCP.
- Solid understanding of system design patterns, scalability, observability, and performance tuning.
- Strong analytical and problem-solving skills.
- Passion for exploring and building with emerging technologies.
- AWS EKS Experience, Docker and Containers.
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