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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Manager, Data Engineering - **Company:** Barkley, LLC - **Location:** Chicago, IL, United States - **Experience:** Experienced - **Salary:** $70,000.0 - $125,000.0 - **Contract:** Permanent contract - **Skills:** Amazon Web Services, Business Analytics Applications, Data Analysis, Big Data, BigQuery, Cloud Computing, Cloud Database, Information Systems, Databases, Data Cleansing, Data Files, Data Integration, Extract Transform Load (ETL), Data Systems, Data Warehousing, Database Analysis, Job Scheduling, Python (Programming Language), Requirements Management, Software Engineering, SQL Databases, Data Processing, Scripting, Google Cloud, Snowflake, Information Technology, Data Analytics, Star Schema, Google Bigquery, Data Management, Data Delivery, Data Pipelines - **Published:** September 22, 2026 - **Apply:** https://www.careerbuilder.com/job-details/manager-data-engineering-chicago-il--d60f490c-fa13-48c4-9027-178ead809076 ## About the Role * Bachelor's degree (or equivalent/above) in Computer Science or Information Technology. * Very strong in SQL. Must have 3-4+ years of experience working with SQL on large-scale datasets. * Must have experience in Cloud-based Data Engineering with design, implementation, and operationalization of large-scale data and analytics solutions, ideally Snowflake. * Experience with the Python programming language. * Must have experience with the ETL development life cycle, best practices for ETL pipelines, and thorough work experience with data warehouses using a combination of Python, BigQuery, and GCP Services. * Experience with marketing/advertising is a huge plus. * Excellent problem-solving skills and attention to detail. * Strong communication and collaboration skills. * Must be able to work under pressure., Advertising, Amazon Web Services (AWS), Best Practices, Business Strategy, Cloud Computing, Communication Skills, Computer Science, Cross-Functional, Customer Relationship Management (CRM), Data Analysis, Data Cleaning, Data Management, Data Processing, Data Quality, Data Science, Data Sets, Data Warehousing, Database Analysis, Database Extract Transform and Load (ETL), Detail Oriented, GCP (Good Clinical Practices), Identify Issues, Information Technology & Information Systems, Marketing, Media Buying and Planning, Operational Audit, Performance Analysis, Problem Solving Skills, Process Improvement, Product Lifecycle, Python Programming/Scripting Language, Requirements Management, Retail, SQL (Structured Query Language), Search Engine Optimization (SEO), Snowflake Schema, Software Engineering, Team Player, Training/Teaching ## Description MissionOne Media is a brand within BarkleyOKRP that combines full-funnel media planning and buying services, CRM, data, analytics, retail media, SEO, and digital experiences. We're an independent media partner offering transparency, integration, and a relentless focus on business impact.As the Data Engineer, you will maintain, clean, and manipulate data in our operational and analytics databases. You will work with our data scientists, data analytics teams, reporting teams, and IT to understand and aid in the implementation of database requirements, analyze performance, and troubleshoot any existing issues., * Design, develop, and maintain Google BigQuery data warehouse solutions. * Implement data pipelines and ETL processes to support data integration and analytics. * Work with Data Suppliers (technical) for receiving data feeds. * Validate data delivery from Data Suppliers to ensure data is aligned to expectations, resolving technical and data issues as they arise. * Collaborate with cross-functional teams to gather requirements and deliver data solutions. * Maintain operational documents to ensure they are current. * Create optimal data pipeline architecture, troubleshoot and resolve issues related to data integration and job scheduling. * Stay current with trends and best practices in Snowflake and AWS technologies. * Provide support and training to team members on Snowflake best practices. * Identify, design, and implement internal process improvements; automate manual processes; improve data delivery; and redesign infrastructure for greater scalability. ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Making Data Warehouses fast. 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