Top Remote Data Engineer Jobs in Chicago, IL

Seeking a Senior Database Engineer with expertise in database infrastructure at scale, performance tuning, and cloud offerings. Responsibilities include leading initiatives to enhance database performance and reliability, conducting root cause analysis, and collaborating with teams.

The Data Specialist role involves working with devops, data science, and support teams to develop and implement data importing, integration, analysis, and reporting. Responsibilities include building ETL workflows, processing client data requests, and collaborating with data science team. 1+ year of experience with relational databases, ETL workflows, data mining, building reports, and moderate SQL proficiency are required.

Seeking an Executive Director, Data Products to drive monetization efforts for D/Cipher's intent targeting solution, curate deal packages, develop high-margin data products, and analyze campaign performance for pricing strategy. Responsibilities include developing new data products, partnering with stakeholders, analyzing performance, and collaborating cross-functionally. Qualifications include a Bachelor's degree, 5+ years of programmatic monetization experience, advanced knowledge of ad tech platforms, and strong strategic thinking skills.

Seeking a Senior Machine Learning Platform Engineer to join the Machine Learning Foundations team at a company focused on economic empowerment. Responsibilities include building self-service tooling for the model lifecycle, collaborating with internal teams, leading architectural discussions, mentoring teammates, and more.

As a Machine Learning Engineer at Dropbox, you will design, build, evaluate, deploy, and iterate on large scale ML systems, collaborate with cross-functional teams, and impact millions of users with personalized experiences.

A Staff Consultant/Engineer with deep technical expertise in implementing BI and DWH projects. They are proficient at managing small projects and have the ability to gain customer confidence. They are responsible for conducting evaluations, developing testing strategies, integrating source systems, managing client expectations, and producing high-quality project documentation. Additionally, they are involved in training and mentoring junior consultants.

Senior Data Engineer role at Kalderos involving data modeling, mentoring junior data engineers, collaborating with teams, building data transformations, ETL jobs, and tools for efficiency. Requires advanced knowledge of SQL and Python, experience with DBT and Snowflake, cloud native infrastructure, and healthcare industry experience.