Top Hybrid Data Engineer Jobs in Los Angeles, CA
As a Business Intelligence (BI) Developer, you will be responsible for developing dashboards, visualizations, and reports for clients and colleagues. You will work with business users to gather requirements, troubleshoot issues, and ensure data quality. The role requires a minimum of 5 years of direct SQL experience and proficiency with BI technologies like Business Objects, Tableau, and Power BI.
Lead the development and implementation of analytical capabilities, machine learning models, personalization services, and data products/services. Collaborate with Data Scientists and Analysts to transition prototypes into production deployments. Analyze data to gain insights into user behavior and inform business decisions. Mentor junior engineers.
Seeking an experienced Thermal Mechanical Analyst to support the advancement of silicon quantum dot technologies. Responsible for developing finite element models, analyzing thermal and dynamic performance, supporting test efforts, providing technical inputs, and mentoring junior engineers. Must have expertise in heat transfer, non-linear simulation tools, problem-solving skills, and excellent communication skills. Bachelor's, Master's, or Doctorate degree in Mechanical Engineering or related discipline required. U.S. citizenship is required.
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Looking for a Senior Machine Learning Scientist to develop new machine learning products for a real-time acquisition marketing platform. Responsibilities include hands-on development of scalable algorithms, keeping up with latest ML advancements, and contributing to the company's ML roadmap.
Drive the technical roadmap of the Ad Ranking team, design and scale machine learning models, collaborate with cross-functional teams, stay updated with latest technology, advocate for best practices, and provide technical direction for the ML community.
Seeking a Data Engineering Manager to lead a team of Data Engineers in building data platforms and supporting product launches at Core Digital Media. Responsibilities include developing data solutions, overseeing data pipelines, conducting code reviews, and driving data quality and innovation within the team.
Lead data pipeline, data strategy, and data visualization efforts for the Global Product Analytics team at Max. Design and implement data models, partner with stakeholders, advance automation efforts, mentor engineers, guide roadmap, create systematic solutions for data anomalies, and explore new analytical opportunities.
Seeking a talented Machine Learning Engineer to join a leading online advertising agency in Los Angeles, focusing on innovative advertising technology. Responsibilities include designing data science programs, machine learning models, and architecture to support Generative AI. Must have practical experience with large datasets in web lead generation, search engine marketing, and cloud computing domains.
Build and integrate ML solutions for evaluating customer cash flow risk, support multiple products in Cash App, optimize decisioning pipeline, experiment with various modeling techniques, partner cross-functionally with finance, product, and engineering teams.
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.
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