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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.
Job Responsibility:
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:
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
What we offer:
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
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