Top Data & Analytics Jobs

The Lead Data Engineer will design, develop, and support complex technical solutions using Java, Python, AWS, and big data technologies. Responsibilities include collaborating with Agile teams, mentoring, and delivering cloud-based solutions.

The job involves leading a team to develop data-driven solutions, utilizing various programming languages and cloud technologies, while collaborating with Agile teams and mentoring junior members.

Lead the US Card data analytics team to build data products, drive adoption of Big Data and cloud (AWS) technologies, establish data governance, and support cross-functional decision-making through analytics, visualization, and strategic roadmaps.

Perform data labeling and annotation to support machine learning and AI model development. Review AI-generated responses for accuracy, annotate and research data per guidelines, report quality issues, refine annotation rules, manage multiple requests to meet deadlines, and collaborate with teams to maintain workflow and standards.

The Lead Data Engineer will develop full-stack solutions, collaborate within Agile teams, and work with big data technologies and cloud computing to improve predictive insights for decision making.

Lead Data Engineer designs, develops, tests, and supports cloud-based, distributed data solutions. Collaborates across Agile teams, mentors engineers, works with big data, streaming, NoSQL and data warehouse technologies, and ensures performant, well-tested code for customer-facing products.

As a Lead Data Engineer, you will collaborate with Agile teams, develop technical solutions, and enhance cloud-based data warehousing to empower financial services for customers.

Design, build, test, and support cloud-based data platforms and real-time pipelines. Collaborate across Agile teams to deliver distributed microservices and data solutions using big data technologies, cloud data warehouses, streaming tools, and modern programming languages. Mentor peers, participate in code reviews, and ensure performant, well-tested systems that power customer experiences.

Lead a team of analysts to drive strategy, mine and analyze large datasets, build and validate models, improve reporting and processes, design tests, and collaborate across business units to enhance business card and payments products.

Lead a team of people analytics analysts to deliver talent acquisition and international strategy analytics. Own data standards, end-to-end projects, pipeline integrity, AI/automation prototyping, and executive reporting while coaching staff and translating technical insights into recommendations for senior leadership.