Top Senior Level Data Engineer Jobs

As a Data Science Manager, you will lead a team to develop innovative credit and lending models, enhance financial inclusion, and improve risk assessment. You will drive cross-functional initiatives, manage advanced machine learning projects, and ensure compliance with legal standards while aligning with Chime’s business goals.

The role entails using data and technology to enhance marketing operations by generating insights. Responsibilities include data analysis using SQL and Python, building revenue optimization models, aligning marketing planning with corporate strategy, and defining KPIs for performance measurement.

The Senior Data Engineer (Data Engineer III) at Chewy will be responsible for designing and optimizing data systems, managing data integration and SSOT tables, providing leadership and mentorship, evaluating innovative solutions, and collaborating with strategic partners. The role requires a Bachelor's or Master's degree in a related field, at least 5 years of experience in data engineering, expertise in SQL and Python, and proven leadership and communication skills.

The Senior Director of Data Analytics is responsible for leading a strategy and reporting function that enhances customer experience through complex insights and data analysis. The role involves overseeing predictive modeling, developing data analytics strategies, providing strategic recommendations, and collaborating with various departments to drive business success through informed decision making and effective use of data.

The Senior Manager of Machine Learning Engineering will lead a team dedicated to developing machine learning applications and systems at scale. Responsibilities include designing and implementing ML architectural designs, reviewing model and application code, and ensuring high availability and performance. The role requires collaboration with cross-functional teams, maintaining models in production, and adhering to best practices in machine learning engineering.

The role involves productionizing machine learning applications, participating in technical design and development, solving complex problems with code, collaborating in an Agile team, and ensuring best practices in ML and AI governance. Responsibilities include model development, deployment, maintenance, and monitoring.

The Lead Data Engineer will design, develop, and implement technical solutions for the Auto Lending Platform at Capital One. Responsibilities include building real-time data pipelines, collaborating with Agile teams, and mentoring other engineers. This role requires strong experience in big data technologies and cloud computing, with a focus on delivering innovative financial solutions.

The Director of People Systems & Data will develop and manage the strategy for People information systems, ensuring data accuracy and compliance. Responsibilities include leading the People Data & Analytics function, optimizing systems, collaborating with various departments, managing vendor relationships, and ensuring effective data management practices.

As a Staff Data Engineer, you will establish a top-tier data engineering team by implementing robust data infrastructure, collaborating with stakeholders, mentoring team members, enhancing data quality standards, and migrating from AWS to GCP. You will also improve reporting workflows and ensure the reliability and scalability of the data lake.