Top Data Engineer Jobs

Nagarro seeks an Associate Principal Engineer in Big Data to leverage extensive IT experience for strategic organizational value. The role values self-starters and innovation.

The Data & Analytics Engineer will support marketing analytics by working with data pipelines, data modeling, and collaboration with marketing teams to provide insights for campaigns and customer engagement.

As a Senior Systems Engineer, you will support sales with technical expertise in data management, integration, and analytics solutions, building relationships and preparing specifications for complex customer needs.

The Sr. Data Engineer designs and optimizes data solutions, develops ETL pipelines, manages data warehouses, and ensures data quality for business intelligence at TekniPlex.

The Senior Software Engineer designs and builds data products for genomics research, creating data pipelines, ensuring compliance, and collaborating with R&D teams.

Lead the design, build, and optimization of a modern data platform, managing large-scale data pipelines and collaborating with various teams.

The Integration Engineer designs and implements data integration solutions, ensuring data quality and governance across diverse domains while building scalable streaming and batch data pipelines.

The Senior Data Engineer designs and maintains data pipelines, evaluates new technologies, mentors junior engineers, and ensures data system performance and reliability.

The role involves designing and maintaining data pipelines, developing ETL workflows, optimizing data processing in GCP, ensuring data quality, and collaborating with teams to support business requirements.

The Senior Data Engineer leads data management strategies, implements data ingestion, cleansing, transformations, and develops workflows to enhance data utility for the enterprise.

Lead the design and optimization of data pipelines, mentor junior engineers, establish data standards, and collaborate on data solutions.

Design, build, and maintain scalable data pipelines and infrastructure on AWS, collaborating with data scientists and AI teams to support analytics and ML initiatives.

Lead the design and development of data pipelines, mentor junior engineers, and implement best practices for data systems optimization and governance.

Responsible for assessing and improving data quality. Collaborates with developers to implement data logic, conducts quality reviews, and communicates issues to resolve data quality problems. Provides support to ETL teams and manages customer requirements throughout the project lifecycle.

The Senior Data Engineer is responsible for building and maintaining data pipelines, defining metrics, and collaborating with cross-functional teams to ensure data quality, governance, and operational excellence.

The Data Ingestion Specialist will manage the ingestion of healthcare data, improve data models, debug issues, and collaborate with team members to maintain pipeline reliability and efficiency.

Design, build, and operate scalable data architectures and ETL/ELT pipelines across cloud and on-prem systems; enable ML/analytics, ensure data quality and compliance, mentor junior engineers, and support 24/7 reliability.

The Senior Data Engineer will enhance data lakes, develop efficient data pipelines, and collaborate with cross-functional teams to solve complex business problems using various technologies.

Lead design and delivery of data platform and analytics solutions, maintain data lake and catalogs, mentor ACE team, drive ROI-focused analytics projects, and enable data-driven decision-making across the business.

As a Lead Data Engineer, you'll optimize data workflows, manage data engineering projects, mentor junior engineers, and ensure robust data solutions meet business needs.

Manage data loading processes, ensure data quality, design ETL pipelines, build Power BI reports, and maintain data models while collaborating with business teams.

Lead design, build, and maintenance of scalable data pipelines and lakehouse infrastructure using PySpark, Databricks, and Airflow. Own data & ML platform (Terraform, Databricks), improve observability, data quality, and developer tooling, and partner closely with Data Science and engineering teams.

Lead and mentor technical resolution of complex Data & AI production issues for customers, deep-dive into data pipelines and AI workflows, troubleshoot Spark/Delta/DLT/Model Serving, influence product improvements, and guide architects to build performant, reliable Databricks-based solutions.

Operate and automate LendingTree's cloud data platform (Snowflake) by building CI/CD, troubleshooting ETL/streaming (Kafka), integrating with AWS/Azure services, enforcing security and observability, and partnering with data engineering to improve reliability and cost-efficiency.

The Senior Data Engineer will build and maintain ELT pipelines, manage data workflows, and improve the data warehouse quality while ensuring data integrity and accessibility for stakeholders.