Top Senior Data Engineer Jobs

The Sr. Ab Initio Data Integration Engineer will maintain ETL processes, troubleshoot performance issues, and provide documentation for the data warehouse environment.

The Senior Data Engineer will develop data engineering solutions, manage ETL workflows, and establish a new data practice while collaborating with stakeholders.

Design and maintain scalable data pipelines, ensure data quality, and collaborate across teams to support data needs and governance. Lead technology evaluation and implement data solutions.

Develops and maintains data pipelines, designs ETL processes, creates scalable APIs, performs data analysis, and collaborates on engineering projects.

This role involves designing data pipelines, collaborating with teams, ensuring data quality, mentoring junior engineers, and managing data governance processes.

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

Design and maintain scalable data infrastructure, lead data engineering practices, mentor team members, and ensure data governance and quality while promoting collaboration across teams.

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

As a Senior Data Engineer, you will design, build, and maintain scalable data platforms, ETL pipelines, and support analytics and ML workflows, ensuring data quality and cross-functional collaboration.

As a Senior Data Engineer, you will build data pipelines, improve the data engineering stack, and maintain a data warehouse for analytics. You'll collaborate with teams to ensure data accuracy and contribute to system reliability.

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.

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

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 lead the design and migration of an enterprise data platform to AWS and Snowflake, ensuring high-quality data pipelines and collaboration across teams to meet business requirements.

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

Lead design, build, and scale of data platform capabilities across Snowflake and AWS. Develop ETL/ELT pipelines, CI/CD and IaC, monitoring, and governance. Mentor engineers, collaborate cross-functionally, and ensure security and compliance (SOC2, PCI-DSS).

The Senior Data Engineer will design, build, and optimize scalable data pipelines and maintain data architectures using PySpark and AWS, ensuring data quality and performance for analytics.

As a Senior Data Engineer, you will design and maintain scalable data pipelines, focusing on architecture, ingestion, storage, and analytics on GCP. You'll collaborate with stakeholders and optimize data structures for performance while ensuring adherence to data governance and compliance standards.

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

Design, build, and maintain scalable cloud-native ETL/ELT pipelines and serverless workflows using Python, Airflow, and AWS. Implement dbt transformations, manage DynamoDB and other storage, enforce data quality and governance, automate CI/CD, and mentor junior engineers while collaborating with analytics, product, and creative teams.