Insight Global

Data Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Data Engineer position based in St. Louis, requiring 3+ years of experience, proficiency in SQL and Databricks, and Python skills. Contract length and pay rate are unspecified. Onsite work 5 days a week is mandatory.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
400
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πŸ—“οΈ - Date
May 14, 2026
πŸ•’ - Duration
Unknown
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🏝️ - Location
On-site
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πŸ“„ - Contract
Unknown
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
Greater St. Louis
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🧠 - Skills detailed
#AWS (Amazon Web Services) #"ETL (Extract #Transform #Load)" #Scala #SQL (Structured Query Language) #PySpark #Databricks #Computer Science #Data Transformations #Kafka (Apache Kafka) #Visualization #Airflow #Complex Queries #Spark (Apache Spark) #BI (Business Intelligence) #Data Engineering #Python
Role description
Must be local to St. Louis and wiling to work onsite 5 days a week Required Skills & Experience - 3+ years of Data Engineering experience - Proficient in SQL, with the ability to write complex queries - Experience with Databricks - Exposure to PowerBI ο‚§ Any other visualization tool experience/exposure - Python experience Nice to Have Skills & Experience - Pyspark - Experience with Airflow for pipeline and orchestration - Bachelor’s degree in computer science, Information Technology, or a related field - Experience with AWS - Knowledge of downstream data visualization - Experience with streaming technologies like Kafka and other messaging services Job Description Insight Global is looking to add a Data/BI Engineer to their client’s Data & Analytics organization. This role will support a high demand analytics and reporting environment focused on new feature enhancements and a growing volume of end user requests. They will work primarily on the data and BI reporting side, contributing to both the underlying data layer and business intelligence outputs. This individual will own reporting end to end, beginning with upstream data transformations, aggregations, and filtering, through final report delivery and ongoing enhancements. They will work with existing BI models and semantic layers, fixing data and reporting bugs, and developing new reports and features in response to evolving business needs. They will partner closely with business stakeholders to translate reporting requirements into scalable, reliable analytics solutions while ensuring accuracy, performance, and usability across all outputs.