Data Engineer – Databricks

Posted 2 Days Ago
Beaverton, OR, USA
Hybrid
Senior level
Information Technology • Software • Consulting
The Role
Design, develop, and maintain scalable enterprise ETL/ELT pipelines using Databricks, PySpark, Spark SQL, Delta Lake, Python, and SQL. Integrate and transform data across enterprise sources, optimize performance, implement data quality and reliability improvements, and manage workflows with Azure Data Factory or Airflow. Apply cloud, data modeling, warehousing, Git, CI/CD, and DevOps practices while collaborating with cross-functional teams to deliver modern data solutions.
Summary Generated by Built In
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.

Skills Required

  • 6+ years of overall IT experience
  • 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
  • Experience building scalable ETL/ELT pipelines
  • Experience with Azure, AWS, or GCP; Azure preferred
  • Experience with Azure Data Factory and/or Apache 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
  • Experience with Delta Live Tables
  • Experience with Unity Catalog
  • Experience with Structured Streaming
  • Experience with Azure cloud data services
  • Experience working with large-scale enterprise data platforms
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The Company
HQ: Dallas, TX
131 Employees
Year Founded: 2012

What We Do

BuzzClan is a technology consulting firm collaborating to provide software, advisory, implementation, transformation and staffing services. We provide systems integration, IT consulting, managed services and workforce solutions to public and private sector clients. BuzzClan is a certified partner for most Tier-1 Cloud, Software & Hardware Providers, including Oracle, Amazon, Microsoft & Saviynt. BuzzClan is committed to providing substantive business value on each and every client engagement. We do this through a combination of industry-specific business expertise, technical skills, proven project management methods and our “onsite - off-site - offshore” delivery model. We strive to work in partnership with our customers to build high-performance teams and create business solutions that will last. Vertically Integrated solutions company Full ownership of the solution The combined experience of more than 250+ years Various OEM Certifications such as OCP, PMP, AWS, MS Azure, etc. Onsite presence across the North American(US & Canada) clients Near-Shore & Offshore presence

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