Top Data Engineer Jobs

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 and deliver enterprise-scale data models and analytics-ready datasets in Snowflake; build reliable ELT/ETL pipelines (batch and near-real-time); implement data quality, observability, and performance optimizations; publish curated data to downstream systems; enforce documentation, lineage, schema evolution, and secure handling of sensitive data while collaborating with product, operations, and engineering teams.

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 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 will design, develop, and implement data solutions, collaborating with Agile teams and utilizing various technologies to drive data transformation and deliver impactful cloud-based 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.

The role involves designing and optimizing data pipelines in Databricks, developing data assets, ensuring data quality, and collaborating with analytics teams to meet healthcare-related data needs.

As a Data Engineer III, you will develop data solutions, lead projects, mentor peers, and ensure efficient data pipelines within cloud architectures.

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 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.

Seeking a Senior Data Engineer to design and optimize data pipelines, develop backend services, and implement Snowflake models, ensuring efficient data delivery in complex environments.

The Senior Data Engineer will design and implement scalable data models in BigQuery using dbt for analytics and reporting, ensuring data governance and optimal performance.

The Data Engineer designs and manages data pipelines for lead generation, collaborates with Sales, analyzes metrics, and ensures data quality and integrity.

As a Data Engineer II, you will develop and operationalize data pipelines, manage data ingestion and transformation, and ensure data quality for analytics. You will also collaborate with DevSecOps for CI/CD and enhance data solutions.

As a Data Engineer II, you will design and support ETL/ELT data pipelines, work with AWS, Snowflake, and collaborate within an Agile team on data initiatives.

The Data Engineer II will optimize, support, and deploy SQL Server environments in cloud settings, enhance data platforms, mentor junior engineers, and collaborate across teams.

As a Data Developer, you will create scalable ETL processes, design data warehouses, and develop dashboards using BI tools. Responsibilities include optimizing data quality and ensuring security measures for sensitive information.

The Senior Data Engineer will maintain and improve data pipelines, ensure data integrity, and work with cloud data platforms, focusing on performance and data governance.

Design, build, and maintain data infrastructure, client integrations, and data models to support analytics and AI at Trovo Health.