Top Data & Analytics Jobs

The Data Engineer I at Storable supports the design and maintenance of data pipelines, works with ETL processes, optimizes workflows, and collaborates with various teams to enhance data accessibility and reliability.

The DBA/Data Engineer will manage PostgreSQL and MySQL databases, build scalable data pipelines, and integrate AI for automation, ensuring efficient data infrastructure.

The Vice President, Technology will lead data engineering efforts to design and deliver data integration solutions across CRM ecosystems using ETL, Python, and advanced SQL/NoSQL technologies.

The Data Engineer will design and maintain data pipelines, integrate data from SAP into cloud platforms, and collaborate on data model creation for analytics use.

The Data Engineer will design and implement data pipelines and platforms for various applications, collaborate with teams, and handle structured and unstructured data.

As a Data Engineer, you will acquire, curate, and publish data for analytical uses, ensuring data quality and supporting business processes through efficient data solutions.

Design and maintain data pipelines and lake platforms, optimize data processing with cloud technologies and collaborate with team members for AI initiatives.

This role involves collaborating with stakeholders to translate business questions into data insights, developing SQL queries, and supporting AI-driven analytics workflows.

The Senior IT Business Intelligence Data Engineer will design and build data pipelines, develop solutions, support data engineering standards, and mentor junior engineers.

The Data Platform Operations Engineer ensures the reliability and performance of the Performance Team's data systems, managing data workflows, monitoring ETLs, resolving data issues, and optimizing performance.

As a Data Engineer, you'll build data solutions, analyze sources, support data governance, and educate end users on data products.

The Data Engineer designs and maintains data pipelines and database infrastructure, ensuring reliability, optimizing data models, and supporting analytics across the organization.

Join the Artist-First AI Music lab to build and maintain large-scale distributed data pipelines (Scio/Dataflow), improve data quality via CI/CD, collaborate with cross-functional teams, and support generative-music products using BigQuery and other GCP tooling.

The Data Engineer IV will develop and optimize real-time data pipelines, manage large-scale datasets, and maintain data accuracy while collaborating with cross-functional teams to enhance marketing science initiatives.

As a Data Engineer, develop and maintain ETL/ELT pipelines, monitor data quality, and collaborate on product initiatives within a big data team.

The Principal Data Engineer will design and build scalable data pipelines and infrastructure for Customer Success, ensuring data quality and governance, collaborating with various teams to support analytics and reporting needs.

The Senior Data Engineer will architect and implement data pipelines, manage their performance, and partner with stakeholders to ensure data accessibility and quality. Responsibilities include assessing data sourcing needs and providing visibility into pipeline status.

The Lead Data Engineer will design and build data architectures, lead a team, and develop ETL processes using cloud technologies to optimize data solutions for the U.S. business.

The Senior Lead Data Engineer designs and develops technical solutions, leads a team of developers, and utilizes big data and cloud technologies to deliver robust solutions for Capital One.

As a Senior Lead Data Engineer, you will design, develop, and support data solutions, optimize systems, and collaborate within Agile teams to leverage technology for business transformations.

Lead a team of engineers to design and implement data solutions using cloud technologies, optimizing data pipelines and collaborating with Agile teams to deliver impactful data-driven products.

Lead a team of data engineers to develop, test, and support solutions using big data technologies and cloud services while mentoring peers and collaborating with product teams.

Design, build, and optimize data pipelines for analytics and ML. Collaborate with BI teams and improve data platform performance.

Design and implement scalable ETL/ELT pipelines for structured and unstructured data, ensure data quality for bot training and real-time decisions, integrate data with conversational AI platforms, monitor and maintain voice bot systems, implement logging/monitoring, optimize data flows, and collaborate with AI/ML, DevOps, and compliance teams.

The MDM Data Engineer is responsible for configuring and optimizing the Profisee MDM platform, ensuring data quality, integrating systems, and collaborating with stakeholders for data governance.