Top Data Engineer Jobs in Los Angeles, CA
GoodRx is looking for a Sr. Data Engineer I to collaborate with teams in building data pipelines, developing data processing pipelines using cloud technology, and architecting cloud-based data pipeline solutions. Responsibilities include defining data specifications, leading data projects, ensuring data warehouse integrity, and making engineering and product decisions based on data analysis.
Lead a team of Data Scientists and Machine Learning Engineers to create AI models that drive company growth. Define strategies, identify and implement AI use cases, build predictive models, and teach business teams about model results.
This Data Analyst Engineer role at Sunbit involves working closely with the Head of Data to establish data oversight capability, drive data quality, furnish data for audit needs, and own governance reporting on quality of Critical Data Elements. The position requires 4+ years of analyst experience, proficiency in SQL, and a passion for driving data quality.
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The Data Operations Architect plays a critical role in delivering and supporting business operations, developing data solutions, enhancing internal applications, and streamlining processes to improve efficiencies. Responsibilities include serving as an expert for data operations systems, enabling cross-functional cooperation, improving operational efficiencies, managing and democratizing data, and building workflows for data transformation and insights.
Manage SAP Data and Analytics projects to help clients maximize their SAP investment and transform their data management and governance processes. Lead consulting engagements, develop new skills, and provide strategic solutions to complex business issues. Work in a team to drive technology-enabled change and support management decision making and corporate strategy.
The Senior Data Engineer will be responsible for designing and implementing ETL/ELT data pipelines, database schema, and batch processes using technologies such as SQL, Python, Airflow, and more. They will work on data requirements gathering, validation, and deployment across multiple environments.
As an ML Ops and Data Engineer, you will optimize the performance of our robotic systems by integrating machine learning models, data pipelines, and operational processes. You will collaborate with software development, machine learning, and robotics teams to ensure seamless maintenance of our data pipeline and deployment of AI systems.
Join Snap Inc as a Senior Business Intelligence Engineer on the LCS team, analyzing data across multiple sources to provide insights and recommendations for business decisions. Collaborate with cross-functional teams, build dashboards, and drive revenue through data-driven strategies.
Lead the building of company's ontology, collaborate with stakeholders, solve problems with data, become a trusted resource for leadership.
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.
Top Companies in Los Angeles, CA Hiring Data + Analytics Roles
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