Top Remote Senior Level Data Engineer Jobs in Los Angeles, CA

Lead the Products & Technology Risk and Quality team in developing, interpreting, and monitoring risk management policies and compliance. Requires expertise in technology and data risks, critical thinking, and communication skills.

Design, build, and manage distributed services and pipelines for underwriting and credit at Cash App. Lead projects, maintain high code quality, collaborate with teams, solve technical problems, and mentor engineers.

Seeking a Senior Data Engineer at Calm to leverage various data sources for stakeholder needs, standardize data approaches, and promote data-driven decision making. Responsibilities include collaborating with business stakeholders, refining data models, and mentoring data engineers. Required skills include SQL proficiency, experience with data warehouses and pipelines, and knowledge of data modeling paradigms.

Lead a team of engineers to build one of Dropbox’s newest AI offerings, Dash. Foster operational excellence, streamline processes, and eliminate redundancies to ensure team agility. Provide strategic direction and contribute to technical and product strategies.

Senior or Lead Big Data DevOps Engineer responsible for setting up, scaling, and maintaining Big Data infrastructure in private and public cloud environments. Drive improvement of infrastructure efficiency, lead architecture and design efforts, ensure availability and reliability of infrastructure, and build tools for operational tasks. Evaluate, design, and deploy monitoring tools. Requires 7+ years of experience with Hadoop, 3+ years of leading Big Data or DevOps teams, experience setting up Hadoop clusters of 1000+ nodes, knowledge of NoSQL databases, and proficiency in shell scripting. Nice to have experience with Prometheus, Snowflake, Graphite, Grafana, and Python or Perl scripting.

Seeking a Senior Data Engineer to own a data engineering roadmap, build data processing pipelines, collaborate with cross-functional teams, and drive technical initiatives with a focus on rapid iteration. Must have 5+ years of core data engineering experience, including expertise in SQL, Python, Snowflake, dbt, Airflow, Kubernetes, Docker, DataDog, and AWS.

Design, develop, and maintain scalable solutions for ongoing metrics, reports, and analyses to support analytical and business needs. Translate business problem statements into analysis requirements, use analytical rigor to answer questions, and collaborate with the team to measure customer experience.