Description
To Apply:
If this is a fit, please email Valerie Nielsen with a copy of your resume (her email address is on the front page of her LinkedIn!) for immediate response!
Job Title: Senior Data Engineer (2 openings!)
Location: Woodland Hills, CA (Onsite/Hybrid)
Compensation: $150,000 - $175,000 base salary + amazing perks
Job Summary:
We're seeking two highly skilled Senior Data Engineers to join our growing team in Woodland Hills. This is a fantastic opportunity to work with a collaborative group of data professionals, driving key initiatives in a data-driven organization.
Key Responsibilities:
Design, build, and maintain scalable data pipelines and ETL processes to support analytics and machine learning initiatives.
Collaborate with data scientists, analysts, and business stakeholders to understand data needs and provide robust solutions.
Optimize data workflows for performance, reliability, and scalability.
Leverage Databricks to develop and manage big data solutions, including data ingestion, transformation, and integration.
Implement data best practices and ensure high data quality and security.
Participate in code reviews and contribute to a culture of continuous learning and technical excellence.
Requirements
Must Haves:
? Very strong experience with Databricks, including advanced data engineering workflows
? Solid experience designing and maintaining data pipelines and ETL processes
? Proficiency in big data tools and frameworks (Spark, Delta Lake, etc.)
? Strong understanding of data modeling, data architecture, and best practices
? Collaborative mindset and ability to work closely with cross-functional teams
Perks & Benefits:
? Competitive base salary ($150-175k)
? Amazing perks, including health benefits, 401k, and more
? Work with cutting-edge data technologies in a collaborative, growth-focused environment
? Join a team that values innovation, creativity, and continuous improvement
If you're ready to take your Databricks expertise to the next level and make an impact, we'd love to hear from you!
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