Top Data & Analytics Jobs

The Junior Data Engineering Intern will assist in developing data pipelines, perform data analysis on GEOINT datasets, and support AI initiatives while gaining hands-on experience.

Curative AI is seeking a Data Engineer to design and maintain data infrastructure, support data initiatives, automate healthcare management, and ensure quality data handling in a fast-paced AI healthcare startup.

As a Mid Data Engineer, you will develop data pipelines, maintain data stores, and collaborate on data solutions for various impactful projects. You’ll engage with clients to optimize data insights across missions.

As a Data Engineer at Equifax, you will integrate, cleanse, and structure data, develop SQL and Python pipelines, and ensure data quality checks while collaborating with stakeholders.

As a Data Engineer, you will build advanced technology solutions, lead data engineering activities, and oversee the development of data processing pipelines, while mentoring a team in a fast-paced environment.

The Data Engineer will develop and maintain data pipelines, collaborate with business units, and ensure alignment with analytics needs while driving data solutions.

The role involves designing and maintaining ETL/ELT pipelines, integrating diverse data sources, automating Fabric environments, and collaborating with global teams on data solutions.

Lead Data Engineers at Capital One design, develop and support technical solutions using big data technologies and cloud computing, collaborating with Agile teams to enhance data processing and analysis capabilities.

The Senior Research Engineer will curate large datasets, automate data pipelines, optimize queries, and support data-driven research impacting business outcomes.

As a Senior Data Engineer, you will design and maintain scalable data models, build production data pipelines, and support analytics across various business functions.

As a Lead Data Engineer, you'll design and implement full-stack technical solutions, collaborate across Agile teams, and leverage big data and cloud technologies to deliver personalized customer experiences.

Lead Data Engineer role focused on building data solutions, collaborating across Agile teams, utilizing big data and cloud technologies, and mentoring team members.

Lead design and delivery of enterprise data centralization and automation for reporting and BI. Build and maintain ETL/SSIS pipelines, data orchestration, file delivery and quality controls, follow SDLC/agile, mentor junior engineers, and partner with business stakeholders to capture requirements and ensure timely data delivery.

Design, build, and maintain scalable ETL/ELT data pipelines on Databricks and AWS S3; manage large geospatial and temporal datasets; productionize ML models; implement data validation, testing, and monitoring; optimize storage and processing; document workflows; collaborate cross-functionally.

The Data Engineer will build and scale Baseten's internal data platform, designing data models and pipelines while enabling self-service analytics and ensuring data reliability.

Build and maintain scalable batch and real-time data pipelines using Kafka, Google Dataflow, Snowflake and S3. Integrate APIs via Apigee, ensure data quality, publish data for reporting, and collaborate with stakeholders to document workflows and support analytics.

The Data Engineer will design, build, and optimize data pipelines, ETL workflows, and large-scale data solutions, with strong SQL expertise required.

The Data Engineer will enhance data pipelines, support data analysts, and optimize data architecture for cross-functional teams. This role involves data extraction, transformation, and analytics to meet reporting needs.

The Data Engineer will manage data pipelines for financial institutions, translating raw transactions into insights while collaborating with various teams to enhance data models and tools.

The Data Engineer will clean, manage, and analyze datasets, automate ETL processes, and collaborate with traders and software engineers to derive insights.

The Data Engineer (AI) Senior Engineer will develop and maintain data pipelines, ensure data quality, implement deployment processes, provide training, and comply with military standards.

The Data Engineer will design and maintain scalable data pipelines, optimize ETL processes, and ensure data quality for analytics in healthcare.

Lead cross-functional Agile teams to design, build, test, and support cloud-based data solutions. Develop full-stack data engineering systems using Java/Scala/Python, RDBMS and NoSQL, Redshift/Snowflake, and distributed tools (Hadoop, Spark, Kafka). Mentor engineers, perform code reviews and unit testing, and collaborate with product managers to deliver scalable, performant data products.

Lead design, implementation, automation, and maintenance of large-scale ETL pipelines and scalable data solutions. Translate business questions into data requirements, validate and test datasets, mentor junior engineers, collaborate with analytics and stakeholders, and ensure robust, production-ready data solutions across global clients.

As a Senior Data Engineer, you will design and maintain data pipelines, define governance standards, and collaborate across teams to enhance Headway’s data architecture.