Top Data Engineer Jobs

As a Senior Data Analytics Engineer, you will design and maintain ETL processes, ensure data accuracy, and provide actionable insights. You will work with various programming languages, optimize workflows, and collaborate with cross-functional teams to meet data requirements. Your role will also involve deploying solutions in a Kubernetes environment and performing advanced data analysis.

Hiring a Senior Data Engineer to build data architectures, migrate to a streaming and big data architecture, and enhance platform automation. Responsibilities include building data warehouse, event stream platform, and managing projects in dynamic environment. Requires Bachelor's/Master's in Computer Science, 5+ years of data pipeline building experience, Scala fluency, and knowledge of Apache Spark and streaming technologies.

The Senior Analytics Engineer will analyze and transform raw data into actionable insights, develop automation solutions for data tasks, collaborate with various teams, create ETL processes, and support data-intensive applications and machine learning deployments, ensuring data quality and integrity.

As a Senior Data Engineer, you'll collaborate closely with the Data Science team to leverage claims data for predictive modeling. Responsibilities include building and optimizing data pipelines, ensuring data health, and working independently to resolve complex issues. You'll also assist application developers with data extraction for machine learning models and identify reporting improvements.

Collaborate with customers to understand data needs, develop and implement data systems, perform statistical analysis, and provide data visualizations. Requires Top Secret Clearance, Bachelor's degree in Computer Science, and 10 years of experience in AI, statistics, and data modeling.

As a Senior Data Engineer, you will develop and maintain scalable data pipelines, enhance data models, and provide expertise in data pipelines on Azure, Databricks, and Confluent. Responsibilities include creating best practices, reusable code, and frameworks for cloud data warehousing, and enabling data accessibility across the organization.

The Senior Data Engineer will build and maintain robust data infrastructure, optimize data pipelines, and enhance data visualization capabilities while collaborating with stakeholders and ensuring system reliability through monitoring and testing.

As a Lead Data Engineer at Likewize, you will design and maintain a data platform that enables data-driven decision-making across the organization. Your responsibilities include leading data strategy, developing data pipelines, overseeing system performance, and collaborating with cross-functional teams to deliver actionable insights.

The Senior Data Engineer at GoodLeap will implement data integrations, design and develop projects, and ensure data quality and availability. They will mentor team members, participate in data design discussions, and utilize modern data warehousing and analytics technologies, while promoting agile and DevOps principles.

The Lead Data Engineer at Pendulum will be responsible for developing and optimizing data infrastructure, building and maintaining ETL pipelines, managing data warehouses, ensuring data quality, collaborating with Data Science teams, and implementing monitoring solutions for data systems.

As a Senior Data Engineer at Bluesight, you will design and maintain robust data architectures, facilitate effective data stewardship, and develop customer-facing data products. You'll work closely with engineering teams, product owners, and external clients to create and enhance data pipelines and governance practices, ensuring optimal purchasing decisions for hospital buyers.

The Senior Data Engineer will develop and maintain data infrastructure and Business Intelligence systems, focusing on efficient ETL processes using Snowflake. Responsibilities include designing data pipelines, crafting SQL queries, creating reports and dashboards, ensuring data integrity, and mentoring junior members while collaborating with various teams.

The Principal ML Engineer will build and deploy scalable machine learning models, develop web applications for data insights, and collaborate with cross-functional teams to deliver impactful data-driven solutions. Responsibilities also include providing consulting services for data-driven decision-making.

As a Lead Data Engineer at Windfall, you will develop and optimize data pipelines for large datasets, collaborate with data science teams to implement machine learning models, and create data services for monitoring. Your role is pivotal in building the core data asset of the organization, emphasizing strong communication and collaboration skills.

The Senior Data Engineer/Tech Lead at The Hartford will be responsible for engineering and operationalizing a next-generation analytics solution suite using Oracle PL/SQL, Cloud (AWS), and Big Data Technologies. This role will involve creating, troubleshooting, and enhancing complex ETL processes, leading cloud environment operations, and providing technical consulting and leadership on data integration and distributed data systems.

As a Senior Data Engineer in the Global E-Commerce team, you will design and build data transformations, implement big data systems, and establish best engineering practices to enhance the data platform impacting core products and users.

As a Lead Data Engineer, you will develop and optimize the data platform by building and refining data pipelines that ensure data quality and accessibility. Responsibilities include collaborating with cross-functional teams, implementing best practices in data governance, monitoring data systems performance, and mentoring other data engineers.