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Closed on August 22, 2026.

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SN Cloud Solutions

Data Engineer

SN Cloud Solutions
Chicago, IL $0k+/yr Full time Posted 1mo ago
Python Apache Airflow Azure Data Factory Azure Synapse Analytics Big Data Bigdata Bigquery Cloud Cloud Platform Data Architecture Data Engineer Data Integration Data Lake Data Lakehouse Data Pipeline Data Pipelines Data Platform Data Processing Data Warehouse Data Warehousing Database Databases Databricks Delta Lake ETL Kafka Microsoft Azure Snowflake Spark SQL Stream Processing
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Job Description

SN Cloud Solutions seeks a Data Engineer to help shape the data backbone powering enterprise analytics in a hybrid Chicago setting. The role centers on designing, building, and maintaining scalable data pipelines and platforms using Python, PySpark, SQL, and cloud ETL/ELT frameworks to enable BI and analytics across the organization.

Responsibilities

  • Design, develop, and optimize ETL/ELT pipelines to handle large-scale data processing.
  • Implement scalable data solutions with Python, PySpark, and the Apache Spark ecosystem.
  • Build and sustain data ingestion frameworks for structured and unstructured sources.
  • Write and tune SQL queries, stored procedures, and related database objects.
  • Consolidate data from multiple sources, including APIs, databases, and cloud storage.
  • Establish data quality checks, validation, and monitoring processes.
  • Collaborate with cloud platforms such as AWS, Azure, or Google Cloud Platform.
  • Create and manage data lakes and data warehouses.
  • Partner with data scientists, analysts, and business stakeholders to support analytics needs.
  • Automate workflows using orchestration tools like Apache Airflow.
  • Resolve production issues and optimize pipeline performance.
  • Operate within Agile/Scrum frameworks and CI/CD best practices.

Requirements

  • Minimum 3 years of hands-on Data Engineer experience.
  • Strong proficiency with Python and PySpark.
  • Hands-on experience with Apache Spark.
  • Advanced SQL programming skills.
  • Experience developing ETL/ELT solutions.
  • 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.
  • Solid understanding of data modeling and database design.
  • Experience with relational and NoSQL databases.
  • Excellent problem-solving and communication skills.

Technologies

  • Python
  • PySpark
  • Apache Spark
  • SQL
  • AWS
  • Azure
  • GCP
  • Apache Airflow
  • Databricks
  • Kafka
  • Delta Lake
  • Snowflake
  • Redshift
  • BigQuery
  • Synapse
  • Azure Data Factory
  • Git
  • Jenkins
  • Azure DevOps

Benefits

  • Flexible schedule

Job Type

  • Full-time

Salary

From $50.00 per year

Experience

  • Azure Data Factory: 7 years (Required)
  • SQL: 3 years (Required)
  • Data warehouse: 4 years (Required)

Location

Hybrid remote in Chicago, IL 60618

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