Top Data Engineer Jobs

As a Data Engineer at Common Room, you'll build ETL pipelines, process billions of events daily, and collaborate on backend projects using AWS, Postgres, and Node.js.

The Senior Data Engineer will design and maintain data pipelines and infrastructure for fraud detection analytics, ensuring data integrity and supporting testing across platforms.

Lead design, build, and optimization of Sezzle's large-scale data warehousing and pipelines. Own data infrastructure KPIs/SLAs, improve Redshift performance, evolve the data stack, implement ETL/ELT workflows, and partner with cross-functional teams to deliver reliable, scalable datasets.

As a Senior Data Engineer, design and implement scalable Lakehouse environments, manage data ingestion pipelines, optimize storage, and oversee data lifecycles.

Responsible for maintaining and modernizing core data pipelines, collaborating with teams for reliable data delivery, and supporting AWS infrastructure.

As a Data Solutions Engineer, you'll design scalable data solutions, facilitate technical workshops, validate data integrations, and support sales through collaboration with cross-functional teams while staying current on cloud architecture and AI integrations.

The Data Solution Engineer will develop cloud-based data solutions, oversee development teams, and provide technical expertise in data security and architecture.

The Data Engineer will design and implement data models, build ETL pipelines, and ensure data quality for manufacturing data analytics.

The Lead Data Engineer will design and build scalable data pipelines on Databricks, develop ETL/ELT pipelines with PySpark, and mentor engineering teams for data transformation and analytics.

Design and develop scalable data pipelines using PySpark and Databricks, focusing on data ingestion, transformation, validation, and performance optimization.

As a Senior Data & Analytics Engineer, you'll lead data initiatives, manage a team, and ensure data quality while turning insights into actionable decisions across the company.

As the Senior Data Engineer for Enrichment, you'll design data pipelines, maintain contact datasets, ensure data quality, and optimize vendor relationships while working with a talented team.

As a Senior Data Engineer, you will build and optimize data pipelines, integrate AI capabilities, and collaborate across teams to create data-driven solutions, while providing technical leadership and ensuring data quality and governance.

The Senior Data Engineer will develop and maintain scalable data pipelines, ensure quality standards, improve engineering practices, and engage with data teams to optimize operations.

Design and build data pipelines and platforms, ensuring data reliability and scalability for analytics. Collaborate with diverse teams to implement data-driven solutions.

Lead design and implementation of scalable multimodal data pipelines, active learning and labeling loops, training and inference engineering, and model serving/optimization. Focus on data cleaning, OCR/layout normalization, sample construction, observability, and cost-efficient multi-model routing.

Design, build, and maintain scalable data pipelines and platform tools; define canonical data models; deploy and operate workflow managers (Airflow/Jenkins); work with cloud data tools (Redshift, EMR) and infra (Kubernetes, Terraform); implement data security controls; mentor junior engineers and collaborate with data scientists, analysts, and product teams.

The Sr. Data Engineer will architect and build an end-to-end data platform, developing data pipelines and infrastructure for AI and robotics teams, ensuring data integrity and governance, and collaborating on ML model development.

The AI-Native Data Platform Engineer will design data foundations for AI systems in wealth management, architecting data pipelines, models, and frameworks to enable autonomous financial agents.

The Sr. Data Engineer will deliver data solutions for internal partners, lead technical projects, and engage with diverse teams to gather data requirements.

As a Senior Data Engineer, you'll design and maintain ETL pipelines, ensuring data accuracy and supporting analytics across the organization.

The Senior Data Engineer Lead will design, build, and oversee data architecture, mentor engineers, and drive data strategy and culture at Citi.

The Data Engineer will design and implement end-to-end data solutions, optimize data pipelines, ensure data quality, and collaborate with stakeholders to meet business objectives.

As a Senior Data Engineer, you will design and maintain data systems for Aircapture, focusing on building data pipelines and making architectural decisions to support climate technology.

The role involves designing, building, and maintaining Snowflake data pipelines, reverse-engineering data products, and leveraging AI-assisted development tools to enhance data solutions.