July 2
🏢 In-office - Los Angeles
• Design, build, and maintain scalable data pipelines using Airflow to orchestrate complex workflows. • Integrate diverse data sources, ensuring seamless data flow and accessibility across the organization. • Optimize data processing performance, ensuring low latency and high reliability. • Collaborate with data scientists, analysts, and business stakeholders to understand data needs and translate them into technical requirements. • Stay up-to-date with the latest trends and technologies in data engineering and recommend improvements to our data infrastructure.
• Bachelor's with equivalent experience or Master's degree in Computer Science, Engineering, or a related field. • Minimum of 5 years of experience in data engineering. • Proven experience with Airflow, DBT, and Databricks is required. • Proficiency in programming languages such as Python, Scala, or Java. • Strong knowledge of SQL and experience with relational databases and data warehousing solutions. • Expertise in designing and optimizing ETL processes and data workflows.
• Competitive salary: $180-210k • Annual performance bonus • Stock options program • Unlimited paid vacation • Option for employer paid coverage (Medical, Dental, Vision) plan • 401(k) matching • Gaming laptop and peripherals • Company-wide team building events
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