Top Remote Data Engineer Jobs in Chicago, IL
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.
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Senior Software Engineer role at Atlassian's Central AI team, responsible for building and maintaining core infrastructure for machine learning models and pipelines. Involves solving complex infrastructure challenges, leading projects, and collaborating with internal teams. Required skills include Java, Kotlin, Python, AWS, Apache Spark, and basic understanding of Machine Learning projects lifecycle.
The Principal Data Architect is responsible for executing the vision and strategy for the organization's use of data. They lead cross-functional teams, define data architecture roadmap, ensure data solutions align with business requirements and policies, and choose toolsets for data storage. The role involves translating business requirements into data models, designing data pipelines, and leveraging cloud tech stack.
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.
Looking for a Snowflake Data Architect to lead the development of Enterprise Data and Analytics Platforms, optimize data models, oversee data pipelines, and provide input on implementation methodologies. Must have expertise in Snowflake, AWS, data security, data governance, and cloud technologies.
The Square Banking team is looking for a Staff Data Engineer to help build a Financial Data Mesh Platform using real-time Big Data technologies. Responsibilities include designing data processing systems, building datasets, addressing data quality issues, and collaborating with cross-functional teams.
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