Top Data Engineer Jobs

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.

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.

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.

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

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

Design and develop data solutions, maintain databases, enhance data quality, mentor junior engineers, and lead data process improvements.

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.

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 Senior Data Engineer will build scalable data pipelines, optimize Snowflake data warehouses, and enable reporting via Power BI while collaborating with stakeholders.

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.

The Senior Data Engineer is responsible for designing, implementing, and optimizing data ingestion pipelines and database schemas, ensuring efficient integration and performance of operational data services.

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.

As a Lead Data Engineer, you'll architect data pipelines for IoT telemetry, develop AI solutions, enforce data governance, and mentor team members.

As a Senior Data Engineer, you will build and maintain data infrastructure, enabling product teams with data-driven insights and solutions.

The Senior Data Engineer will design and develop scalable data architectures, manage ETL processes, optimize databases, and implement MLOps pipelines, promoting data-driven decision-making across the organization.

As a Senior Data Engineer, you'll build and maintain reliable data ingestion pipelines, ensure data quality and performance, and oversee data readiness for features, using technologies like ClickHouse and Rails.

As a Senior Data Engineer, you will design AI-optimized data platforms, build data pipelines, and collaborate on analytics projects, while advising clients on data architecture.

The Developer, Data and Integration maintains and develops scalable integration solutions focusing on B2B/EDI transactions, working with business units to translate data needs into technical solutions, and ensures the reliability and performance of data flows.

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.

Responsible for building and operating data infrastructure platforms, ensuring scalability and performance while collaborating with teams for data platform adoption and improvements.

The Senior Data Engineer will focus on Data Modeling, utilizing SQL, Snowflake, and Apache Airflow to develop efficient data models and deliver data products.

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.