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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Engineer - **Company:** Hrc Illinois, Inc - **Location:** Chicago, IL, United States (Remote available) - **Experience:** Expert - **Salary:** $110,000.0 - $120,000.0 - **Contract:** Permanent contract - **Skills:** Airflow, Amazon Web Services, Amazon S3, Continuous Integration, Data as a Services, Data Architecture, Data Validation, Information Engineering, Extract Transform Load (ETL), Data Systems, Data Warehousing, Software Design Patterns, DevOps, Amazon DynamoDB, Information Management, Python (Programming Language), Machine Learning, Performance Tuning, Cloud Services, Software Engineering, Data Streaming, Data Processing, Cloud Platform System, System Availability, AWS Lambda, Git, Data Lakes, Kubernetes, Infrastructure Automation Frameworks, Data Pipelines, Serverless Computing, Docker - **Published:** August 10, 2026 - **Apply:** https://www.adzuna.com/details/5834300249 ## About the Role We are looking for a Senior Data Engineer with deep expertise in building scalable, cloud-native data pipelines and platforms. The ideal candidate is highly skilled in Python, Apache Airflow, AWS Lambda, DynamoDB, and dbt, and has experience designing reliable data workflows that enable advanced analytics, reporting, and machine learning use cases. The ideal candidate will have strong attention to detail, a passion for information management, and the ability to work collaboratively with creative teams to enhance the efficiency and scalability of our asset workflows., 5-8+ years of experience in data engineering, software engineering, or a related role. - Strong expertise in Python for data engineering and automation. - Hands-on experience with Apache Airflow for orchestration. - Proficiency with AWS Lambda and serverless design patterns. - Solid experience with DynamoDB (schema design, performance tuning, scaling). - Strong knowledge of dbt for transformation and analytics modeling. - Experience with cloud environments (AWS preferred). - Familiarity with CI/CD workflows, Git, and DevOps practices. - Strong problem-solving and communication skills. Preferred Qualifications - Experience with other AWS services (S3, Glue, Redshift, Kinesis). - Familiarity with data warehouse and data lake architectures. - Exposure to real-time streaming and event-driven data pipelines. - Knowledge of containerization (Docker, Kubernetes). Soft Skills - Exceptional attention to detail and organizational skills. - Strong written and verbal communication skills, with the ability to explain complex metadata systems to non-technical users. - Ability to work collaboratively and cross-functionally with creative, marketing, and IT teams. - Proactive problem-solver who can identify issues and suggest improvements. - Time management skills with the ability to prioritize and manage multiple tasks in a fast-paced environment. ## Description Data Pipeline Development - Design, build, and maintain robust ETL/ELT pipelines using Python and Airflow. - Develop serverless workflows leveraging AWS Lambda for scalable event-driven data processing. - Implement and optimize dbt models for analytics and transformations. Data Architecture & Storage - Design schemas and manage data in DynamoDB and other cloud-native storage solutions. - Ensure high availability, scalability, and performance of data systems. - Integrate structured, semi-structured, and unstructured data sources. Automation & Orchestration - Build workflow orchestration strategies using Airflow for scheduling and monitoring pipelines. - Automate infrastructure deployment and CI/CD pipelines for data services. Quality & Governance - Implement data validation, testing, and monitoring frameworks. - Ensure compliance with security, privacy, and governance standards. Collaboration & Leadership -- Partner with analytics, product, and engineering teams to deliver reliable datasets. - Mentor junior engineers and enforce best practices in data engineering. - Actively contribute to improving team efficiency, scalability, and standards. ## Related Videos - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [Database DevOps with Containers](https://www.wearedevelopers.com/videos/145-database-devops-with-containers) - [Git for Code Reviews](https://www.wearedevelopers.com/videos/429-git-for-code-reviews) ## Related Articles - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Fully Remote Software Engineer Jobs](https://www.wearedevelopers.com/magazine/447-fully-remote-software-engineer-jobs) - [Is Software Engineering Over-Saturated?](https://www.wearedevelopers.com/magazine/418-is-software-engineering-over-saturated) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market)