Data Engineer – Databricks
About this role
Company Description
Job Description
Data Engineer – Databricks
Location: Beaverton, OR - Hybrid (3 Days Onsite)
Contract-to-Hire
Job Overview
We are seeking an experienced Data Engineer with strong Databricks expertise to design, develop, and maintain scalable enterprise data pipelines and data engineering solutions. The ideal candidate will have hands-on experience with Databricks, PySpark, Spark SQL, Delta Lake, Python, and SQL, along with experience in cloud platforms and modern data engineering practices.
Candidates must be local to or able to work onsite in Beaverton, Oregon 3 days per week.
Key Responsibilities
- Design, develop, and maintain scalable ETL/ELT data pipelines and enterprise data solutions.
- Develop and optimize data processing solutions using Databricks, PySpark, Spark SQL, and Delta Lake.
- Build reliable and high-performance data pipelines using Python and SQL.
- Implement data integration and transformation processes across various enterprise data sources.
- Work with cloud platforms such as Azure, AWS, or GCP, with preference for Azure.
- Develop and manage data workflows using orchestration tools such as Azure Data Factory (ADF) and/or Apache Airflow.
- Apply data modeling, data warehousing, and performance optimization best practices.
- Implement data quality, scalability, reliability, and performance improvements across data platforms.
- Use Git, CI/CD, and DevOps practices to support automated and reliable data deployments.
- Collaborate with business stakeholders, data architects, developers, and other cross-functional teams to deliver enterprise data solutions.
- Troubleshoot complex data pipeline and processing issues and provide effective technical solutions.
- Contribute to modern Databricks capabilities such as Delta Live Tables (DLT), Unity Catalog, and Structured Streaming where applicable.
Qualifications
Required Skills
- 6+ years of overall IT experience, including 5+ years of Data Engineering experience.
- Strong hands-on experience with Databricks.
- Strong expertise in PySpark, Spark SQL, and Delta Lake.
- Strong programming skills in Python and SQL.
- Proven experience building scalable ETL/ELT pipelines.
- Experience with Azure, AWS, or GCP, preferably Azure.
- Experience with Azure Data Factory (ADF) and/or Airflow.
- Strong understanding of data modeling and data warehousing.
- Experience with data pipeline and query performance optimization.
- Hands-on experience with Git, CI/CD, and DevOps practices.
- Strong analytical, problem-solving, collaboration, and communication skills.
Preferred Skills
- Delta Live Tables (DLT)
- Unity Catalog
- Structured Streaming
- Azure cloud data services
- Experience working with large-scale enterprise data platforms.
Additional Information
All your information will be kept confidential according to EEO guidelines.
Frequently Asked Questions
Is the salary disclosed for the Data Engineer – Databricks position at buzzclanllc?
The salary for this Data Engineer – Databricks role at buzzclanllc is not publicly listed. Click "Apply Now" to learn more about the compensation package on their official careers page.
Where is the Data Engineer – Databricks position at buzzclanllc located?
This Data Engineer – Databricks role at buzzclanllc is based in Beaverton, Beaverton, OR, United States, OR, us. The position is listed as on-site or hybrid. Check the full job description or apply directly to confirm the work arrangement.
Is the Data Engineer – Databricks role at buzzclanllc full-time or part-time?
This is listed as a Contract position. It is posted as a Data Engineer – Databricks role at buzzclanllc.
How do I apply for the Data Engineer – Databricks position at buzzclanllc?
Click the "Apply Now" button on this page. You will be redirected to buzzclanllc's official application portal hosted on smartrecruiters where you can submit your application directly.
When was the Data Engineer – Databricks job at buzzclanllc posted?
This Data Engineer – Databricks position at buzzclanllc was posted on Aug 27, 2026. Apply as soon as possible — early applications are often reviewed first.
Data Engineer – Databricks
buzzclanllc
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