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# Senior Data Engineer in Mundelein

- **Company:** Energy Jobline
- **Location:** Mundelein, IL, United States
- **Experience:** Expert
- **Salary:** $160,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Airflow, Amazon Web Services, Microsoft Azure, Cloud Computing, Software Quality, Continuous Integration, Directed Acyclic Graph (Directed Graphs), Information Engineering, Data Systems, Data Warehousing, Dimensional Modeling, Github, Python (Programming Language), PostgreSQL, Microsoft SQL Server, Performance Tuning, SQL Databases, Workflow Management Systems, Pulumi, Data Processing, Google Cloud, Data Ingestion, Snowflake, Git Flow, Information Technology, Data Management, Terraform, Software Version Control, Data Pipelines
- **Published:** October 19, 2026
- **Apply:** https://www.energyjobline.com/job/senior-data-engineer-mundelein-31997819

## About the Role

» Strong technical foundation: Degree in a STEM field (or equivalent experience) with hands-on experience in production environments, emphasizing performance optimization and code quality.

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» Python expertise: Advanced proficiency in Python for data engineering, data wrangling and pipeline development.

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» Cloud Platforms: Hands-on experience working with Azure. AWS experience is considered, however Azure exposure is .

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» Data Warehousing: Proven expertise with Snowflake - schema design, performance tuning, data ingestion, and security.

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» Workflow Orchestration: Production experience with Apache Airflow (Prefect, Dagster or similar), including authoring DAGs, scheduling workloads and monitoring pipeline execution.

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» Data Modeling: Strong theoretical and practical understanding of relational and dimensional modeling. Proficient in dbt, including writing modular SQL transformations, building data models, and maintaining dbt projects.

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» SQL Databases: Extensive experience with PostgreSQL, SQL Server (or similar), including schema design, optimization, and complex query development.

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» Version Control and CI/CD: Familiarity with Git-based workflows and continuous integration/deployment practices (experience with Azure DevOps or Github Actions) to ensure seamless code integration and deployment processes.

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» Communication and problem-solving skills: Ability to articulate complex technical concepts to technical and non-technical stakeholders alike. Excellent problem-solving skills with a strong analytical mindset.

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» Infrastructure as Code (Nice to have): Production experience with declarative infrastructure definition - e.g. Terraform, Pulumi or similar., » Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

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» Relevant certification from Azure, AWS, GCP, IBM, Snowflake, dbt

## Description

We are looking to expand our Data Engineering team to build modern, scalable data platforms for our internal investment desks and portfolio companies. You will contribute to the firm's objectives by delivering rapid and reliable data solutions that unlock value for Cerberus desks, portfolio companies, and other businesses. You'll do this by designing and implementing robust data architectures, pipelines, and workflows that enable advanced analytics and AI applications. You may also support initiatives such as due diligence and pricing analyses by ensuring high-quality, timely data availability.