Top Remote Data Engineer Jobs in Chicago, IL

The Data Architect at Sunnova is responsible for developing data collection, modeling, and integration strategies. This includes designing data pipelines, managing Snowflake data warehouses, and integrating data from Salesforce. The role involves optimizing data storage, ensuring data quality, and collaborating with analysts and scientists to support data-driven decision-making.

The Principal Analytics Engineer at HubSpot will be responsible for building and optimizing data pipelines, fostering innovation with emerging technologies, guiding team development, and leading major data projects. They should have expertise in modern data tools, SQL, data modeling, and ETL, among other skills.

The Principal Data Architect will lead data integration and analytics efforts, collaborating with Data Science and Marketing teams. Responsibilities include designing data models, building data pipelines, improving integration practices, and ensuring service quality. They will work on enhancing data-driven marketing insights and maintaining high-quality data processes.

The Analytics Engineer will build and optimize data infrastructure for business insights, ensuring data accuracy and availability. Responsibilities include maintaining data pipelines in dbt, creating Tableau dashboards, collaborating with teams on data challenges, and training analysts in SQL for data analysis.

The Senior Software Engineer will lead or collaborate on the design, development, and deployment of software features, ensuring clean, reusable coding standards and effective problem-solving with clients. This role involves improving code architecture and maintaining high-quality documentation.

The Senior Analytics Engineer will design, build, and maintain data models to drive business insights, collaborate closely with stakeholders, implement data automation, and enhance analytics capabilities. The role involves managing multiple projects, defining best practices for data sourcing, and communicating updates effectively across teams.

As a Senior Analytics Engineer, you will model data, consolidate sources, and provide actionable insights to stakeholders. You will leverage tools like SQL, DBT, and Snowflake, along with best practices for data quality and performance. Your role will involve leading data documentation efforts and translating business requirements into data solutions.