Why This Role Stands Out
This hybrid role offers a fantastic opportunity to leverage your extensive Databricks expertise within a reputable company, contributing to impactful enterprise data solutions. You'll thrive here if you are a seasoned data engineer with strong Python, SQL, and cloud skills, eager to grow your career in a collaborative environment. Apply now to explore this long-term contract-to-hire position!
Quick Overview
Seniority
Mid Senior
Work mode
On Site
Location
Beaverton, OR, United States
Posted
20 hours ago
SQLAWSETLAirflowAzureDatabricksGitGoogle CloudPythonUnity
Job Description
- Role: Data Engineer ( Data Bricks)
- Location: Oregon, Beaverton (Hybrid)
- C2H Contract to Hire post 6 months
Type - Hybrid - Duration: long Term (10 months+)
- No of Years 14+ Years
Notes:
We are seeking for Only W2 candidates And Must be local to OREGON
Job Description:
- 14+ years of IT experience with 10+ years in Data Engineering.
- Mandatory hands-on experience in Databricks (PySpark, Spark SQL, Delta Lake).
- Customer Management including Escalation, Issue resolution (Mandatory)
- Strong programming skills in Python and SQL.
- Experience building scalable ETL/ELT pipelines and data engineering solutions.
- Hands-on experience with Azure/AWS/Google Cloud Platform, preferably Azure, and orchestration tools (ADF/Airflow).
- Strong understanding of data modeling, data warehousing, and performance optimization.
- Experience with Git, CI/CD, and DevOps best practices.
- Knowledge of Delta Live Tables, Unity Catalog, and Structured Streaming is preferred.
- Ability to collaborate with business and cross-functional teams to deliver enterprise data solutions.
- Excellent analytical, problem-solving, and communication skills
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