Top Data Engineer Jobs in San Diego, CA
The Senior AWS Data Engineer will expand and optimize data and data pipeline architecture, ensuring optimal data delivery for cross-functional teams. Responsibilities include designing ETL workflows, managing data lake schemas, coding transformation logic, and implementing standards for data ingestion and security.
The Senior Analytics Engineer will develop scalable analytics to track growth marketing performance, create predictive models to optimize patient enrollment and retention, and design A/B tests for marketing strategies. Responsibilities include integrating marketing channels, building self-service data tools for marketing insights, and collaborating with various teams to support Wellth's analytics goals.
The VP of Data Analytics at Rush Street Interactive will lead the data analytics function, drive strategic data-driven decisions, mentor a team of analysts, and enhance business intelligence through advanced analytics. Responsibilities include managing large data sets, developing analytics models, and collaborating with key stakeholders to deliver insights for operational efficiency and business growth.
The Data and Integrations Consultant will lead the delivery of integration services by providing guidance and support to customers, ensuring seamless data flow between their CRM and ERP systems and AcuityMD's platform. Responsibilities include troubleshooting, maintaining integrations, and collaborating with internal teams to develop tailored solutions while identifying opportunities for upselling consulting services.
As a Staff Machine Learning Engineer, you will enhance Lime’s demand forecasting and positioning algorithms, execute a multi-year ML strategy, and work collaboratively across teams. Your role includes coaching engineers and data scientists while tackling complex ML challenges.
The Senior Data Engineer at OneSignal will design, build, and maintain data systems to ensure reliable data access across various business functions including sales, marketing, and operations. Responsibilities include connecting data sources, improving data flows, creating ETLs, and implementing data validation processes.
The Data Ingestion Lead will oversee data acquisition, ingestion, and transformation processes in the Global Pet Nutrition division. Responsibilities include optimizing data workflows, ensuring data quality and reliability, implementing compliance checks, and collaborating with various teams to enhance data capabilities.
The Principal Data Engineer will design and implement end-to-end data workflows for ML modeling, improve model performance, and enhance data processing frameworks. Responsibilities include creating standards and best practices, ensuring data accuracy, and collaborating with data scientists to meet data needs.
As an Analytics Engineer at Givebutter, you will design and implement a data model for analytics, build and manage data pipelines, integrate various data platforms, and ensure data governance. Your role requires collaboration with stakeholders to meet short and medium-term data needs while maintaining high data quality and integrity.
The Lead Data Engineer will manage and mentor a data engineering team to deliver data solutions for clients. Responsibilities include overseeing data pipeline development, ensuring client integrations, applying data best practices, and managing project timelines while contributing hands-on to technical decision-making and code reviews.
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