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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer - **Company:** SN Cloud Solutions LLC - **Location:** Chicago, IL, United States - **Experience:** Experienced - **Salary:** $50,000.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Airflow, Amazon Web Services, Microsoft Azure, Big Data, BigQuery, Cloud Computing, Cloud Storage, Computer Programming, Databases, Continuous Integration, Extract Transform Load (ETL), Data Warehousing, Database Design, Database Schema, Python (Programming Language), NoSQL, Scrum Methodology, SQL Stored Procedures, SQL Databases, Unstructured Data, Workflow Management Systems, Azure Data Factory, Snowflake, Apache Spark, Git, Data Lakes, Pyspark, Apache Kafka, Data Management, Video Streaming, Data Pipelines, Jenkins, Amazon Redshift, Databricks - **Published:** July 23, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=3201447330f01c55 ## About the Role * years of experience as a Data Engineer. * Strong experience with Python and PySpark. * Hands-on experience with Apache Spark. * Strong SQL programming skills. * Experience with ETL/ELT development. * Experience with cloud platforms (AWS, Azure, or GCP). * Knowledge of data warehousing concepts. * Experience with Apache Airflow or similar orchestration tools. * Experience with Git, Jenkins, or Azure DevOps. * Strong understanding of data modeling and database design. * Experience with relational and NoSQL databases. * Excellent problem-solving and communication skills. Preferred Skills * Experience with Databricks. * Experience with Kafka or other streaming technologies. * Knowledge of Delta Lake. * Experience with Snowflake, Redshift, BigQuery, or Synapse., * Azure Data factory: 7 years (Required) * SQL: 3 years (Required) * Data warehouse: 4 years (Required) Work Location: Hybrid remote in Chicago, IL 60618 ## Description We are seeking an experienced Data Engineer with years of experience in designing, developing, and maintaining scalable data pipelines and data platforms. The ideal candidate should have strong expertise in Python, PySpark, SQL, cloud technologies, and modern ETL/ELT frameworks to support enterprise analytics and business intelligence initiatives., * Design, develop, and optimize ETL/ELT data pipelines for large-scale data processing. * Build scalable data solutions using Python, PySpark, and Apache Spark. * Develop and maintain data ingestion frameworks for structured and unstructured data. * Create and optimize SQL queries, stored procedures, and database objects. * Integrate data from multiple sources, including APIs, databases, and cloud storage. * Implement data quality, validation, and monitoring processes. * Work with cloud platforms such as AWS, Azure, or GCP. * Build and maintain data lakes and data warehouses. * Collaborate with data scientists, analysts, and business stakeholders. * Automate workflows using orchestration tools such as Apache Airflow. * Troubleshoot production issues and optimize pipeline performance. * Follow Agile/Scrum methodologies and CI/CD best practices. ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Leveraging Real time data in FSIs](https://www.wearedevelopers.com/videos/806-leveraging-real-time-data-in-fsis) - [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) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [AI Model Management Life Circles: ML Ops For Generative AI Models From Research to Deployment](https://www.wearedevelopers.com/videos/1152-ai-model-management-life-circles-ml-ops-for-generative-ai-models-from-research-to-deployment) - [Tomorrow's cloud data platforms - fully managed database-as-a-service (DBaaS)](https://www.wearedevelopers.com/videos/254-tomorrow-s-cloud-data-platforms-fully-managed-database-as-a-service-dbaas) ## Related Articles - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Software Engineer Salary London](https://www.wearedevelopers.com/magazine/252-software-engineer-salary-london) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk)