Quick overview
Salary$58 - $60/hr
SeniorityMid Senior
Work modeOn Site
LocationChicago, IL, United States
SQLApache SparkETLApacheDatabricksPulumiPythonAzurePower BIAgileAzure Data Factory
Job description
Job Title: Data Engineer
Location: Chicago, IL - Hybrid, Tuesday to Thursday onsite
Duration: 06 Months Contract
Job Description
Overview:
We are seeking a skilled Data Engineer with a strong background in designing and building robust ETL pipelines. The ideal candidate has hands-on experience with Apache Spark, Python, and SQL, and can deliver scalable data solutions that support business intelligence, analytics, and downstream applications.
Key Responsibilities:
Location: Chicago, IL - Hybrid, Tuesday to Thursday onsite
Duration: 06 Months Contract
Job Description
Overview:
We are seeking a skilled Data Engineer with a strong background in designing and building robust ETL pipelines. The ideal candidate has hands-on experience with Apache Spark, Python, and SQL, and can deliver scalable data solutions that support business intelligence, analytics, and downstream applications.
Key Responsibilities:
- Design, develop, and maintain scalable ETL pipelines to process and transform large data sets.
- Build efficient and reliable data workflows using Python and Apache Spark.
- Write complex SQL queries for data extraction, transformation, and analysis.
- Collaborate with cross-functional teams to understand data requirements and ensure data quality and consistency.
- Optimize pipeline performance and troubleshoot issues in large-scale data systems.
- Implement best practices in data engineering, version control, and code documentation.
Must-Have Qualifications:
- 5+ years of proven experience building and maintaining ETL pipelines in production environments.
- Proficiency in Python and SQL for data transformation and scripting.
- Strong understanding and hands-on experience with Apache Spark.
- Solid data engineering foundation with attention to scalability, reliability, and performance.
- Strong communication skills and ability to work in collaborative, agile environments.
Nice-to-Have Skills:
- Experience with Azure cloud services, especially Azure Data Factory (ADF) and Databricks.
- Familiarity with Power BI for data visualization.
- Exposure to infrastructure as code tools like Pulumi.
Compensation:
The hourly rate for this position is between $57.62-$60.00per hour.
Factors which may affect starting pay within this range may include [geography/market, skills, education, experience and other qualifications of the successful candidate].
Benefits:
Sunrise offers ACA compliant medical coverage/dental insurance/vision insurance to all employees. We also offer Sick time benefits as required per State regulations.
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