Top Data Engineer Jobs

The Data Engineer II will develop and maintain data pipelines, implement Lakehouse architecture, ensure data quality, and collaborate with teams to improve platform offerings.

The Data Engineer will design and develop scalable analytics solutions using Azure Data Explorer and Power BI, modeling large datasets into insights and visualizations, while mentoring junior team members.

The Data Engineer III will manage data engineering tasks related to acoustic sensor data, focusing on data ingestion, storage, processing, and analysis to support machine learning applications.

The Data Engineer designs and maintains scalable data products, implements quality checks, and supports analytics and reporting needs, collaborating closely with business stakeholders to ensure data reliability.

The Principal Data Engineer will lead the design and implementation of scalable streaming data pipelines, optimize real-time data solutions, mentor team members, and advance modernization efforts in data engineering practices.

The Data Engineer II will design and maintain ELT pipelines to support analytics across Sony Pictures. This role involves collaborating with stakeholders, delivering data models, ensuring data integrity, and driving agile project delivery within a team environment.

Lead the development of data engineering practices, overseeing complex projects, providing strategic guidance, and engaging in advanced data architecture and management.

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 role involves developing, optimizing, and managing data lakes and warehouses, ensuring data quality, implementing monitoring, and working with cloud platforms.

The Lead Data Engineer will design scalable data lakes, optimize data pipelines, and manage data migrations for banking platforms while liaising with clients and stakeholders.

Data Engineer will develop and support data warehouse projects, analyze data integrations, work with ETL tools, and improve processes while collaborating with team members.

The Data Engineer will analyze, develop, implement, test, and support data warehouse projects. Responsibilities include project support, data validation, and enhancing data management processes, all while collaborating with team members and improving performance.

The Workday/Fabric Data Engineer will develop and maintain business intelligence initiatives, including reporting, data pipelines, and data warehousing to support strategic objectives at USNH.

Lead design and delivery of complex, scalable data solutions and pipelines using SQL, Python, Synapse, Snowflake, dbt, and Fivetran. Ensure data quality, security, observability, and compliance (GDPR/HIPAA), mentor engineers, conduct architecture reviews, drive automation and cost/performance optimization, and partner with cross-functional teams to implement governance and data lineage.

The Principal Data Engineer will lead development projects, design scalable data pipelines, ensure data quality, and mentor a team of engineers while collaborating with stakeholders.

The Senior Data Engineer will manage Oracle Exadata Database Machines, ensuring operational availability, performance engineering, and automation, along with infrastructure architecture and lifecycle management.

Lead the evolution of data platform by designing scalable pipelines, improving data processes, mentoring teams, and modernizing data architecture.

As a Senior Lead Data Engineer, you'll lead a development team, design and implement data solutions using machine learning, distributed systems, and full-stack technologies, while collaborating with Agile teams and ensuring code quality.

Design and maintain data models in Snowflake to serve as the company's source of truth, ensuring they are clean, queryable, and ready for AI integration. Collaborate with multiple departments to deliver trusted datasets and eliminate inefficiencies in data management.

As a Data Analytics Engineer, you'll build and manage data models in Snowflake, structure datasets for optimal AI performance, and own data transformation while ensuring quality and accessibility for all teams.

The Senior Data Engineer will design and optimize large-scale batch and streaming data pipelines using Scala and Spark, oversee the data engineering lifecycle, and engage in technical discussions to improve system efficiency.

Designs, builds, and maintains scalable data pipelines on Databricks, focusing on data quality, integrity, and governance, while collaborating with teams to deliver data solutions.

As a Data Engineer, you will design and build data platforms and pipelines, ensuring the effective integration and processing of large-scale data from various sources, while collaborating in an agile environment.

The Sr. Lead Data Engineer will lead developers in data solutions, collaborate with Agile teams, utilize big data technologies, and develop cloud-based services.

Lead design and deliver cloud-based data engineering solutions across Agile teams. Build, test, and support full-stack data systems using big data, streaming, and cloud technologies; mentor engineers and ensure high-performance, well-tested code.