Top Senior Level Data Engineer Jobs in Chicago, IL
Seeking an Executive Director, Data Products to drive monetization efforts for D/Cipher's intent targeting solution, curate deal packages, develop high-margin data products, and analyze campaign performance for pricing strategy. Responsibilities include developing new data products, partnering with stakeholders, analyzing performance, and collaborating cross-functionally. Qualifications include a Bachelor's degree, 5+ years of programmatic monetization experience, advanced knowledge of ad tech platforms, and strong strategic thinking skills.
As a Data Orchestration Lead, you will be responsible for implementing cutting-edge Data Orchestration solutions, leveraging PEGA and integrating with S4 systems. Your role involves planning, executing initiatives, managing strategy and technology capabilities, and ensuring seamless integration of data processes across teams. You will also be responsible for cost control, product fit for purpose, and promoting new solutions delivery. This role requires a 4-Year Degree in Data Management or IT with 10+ years of experience in Data Management/Data transformation, 5+ years in Agile, and experience in partnering with business functions on transformations.
Collaborate with Agile teams to design, develop, and support technical solutions using full-stack development tools and technologies. Lead a team of developers in machine learning, microservices, and full stack systems. Utilize programming languages like Java, Scala, Python, and cloud-based data warehousing services. Drive the transformation within Capital One by delivering robust cloud-based solutions.
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As a Lead Data Management Consultant at Discover, you will be responsible for developing, implementing, and supporting data quality controls and strategies. You will also define data quality metrics, design solutions for metadata management, and drive improvements in architecture and team processes. Minimum qualifications include a Bachelor's Degree and 4+ years of IT work experience in data analysis and management. Proficiency in SQL is required.
Lead the Data Quality Team, define and manage technical strategy, build and lead a team of data quality analysts, and ensure data accuracy and integrity. Collaborate with trading and technical teams to maintain data quality for trading decisions.
Seeking a Manager, Software Engineering to lead the Data Access team responsible for querying databases and SQL generation. Responsibilities include managing and mentoring engineers, collaborating with development teams, contributing to projects, and delivering high-quality solutions. Successful candidates will have 6+ years of software engineering experience, expertise in Java and distributed systems, and a strong software design background.
Seeking a Senior Machine Learning Platform Engineer to join the Machine Learning Foundations team at a company focused on economic empowerment. Responsibilities include building self-service tooling for the model lifecycle, collaborating with internal teams, leading architectural discussions, mentoring teammates, and more.
Managing a team of engineers to create and deploy machine learning models and algorithms for search. Leading the vision and strategy for AI modeling training and evaluation. Collaborating with AI platform team and product teams for AI feature development.
Design, develop and deliver data products to production, solve technical problems, define and extend data architecture standards, mentor team members, propose ideas for improvement, implement ETL processes, work closely with Data Scientists and Product Managers.
Join Keeper as a Senior Database Administrator to maintain and optimize databases in AWS environments. Collaborate with teams to implement improvements and ensure high availability architecture. Participate in on-call rotation for production systems support. Requires 6+ years of RDS/MySQL experience and a bachelor's degree in computer science or equivalent.
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