Data Engineer- Onsite in St. Louis, MO
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer in St. Louis, MO, on a 12-month contract at $40-$48/hour. Requires 3+ years of experience, advanced SQL skills, proficiency in Databricks or Snowflake, and a Bachelor's Degree. Python/PySpark experience preferred.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
384
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🗓️ - Date discovered
September 18, 2025
🕒 - Project duration
More than 6 months
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🏝️ - Location type
On-site
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
St Louis, MO
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🧠 - Skills detailed
#Complex Queries #Databricks #PySpark #Data Transformations #SQL (Structured Query Language) #Python #Spark (Apache Spark) #Data Engineering #Indexing #Snowflake #"ETL (Extract #Transform #Load)" #Programming
Role description
Position Title: Data Engineer
Location: Fully Onsite in St. Louis
Duration: 12-month contract
Compensation Range: $40-$48/hour
Required Skills & Experience
3+ years of professional experience
Advanced in SQL, with the ability to read and write complex queries, stored procedures, optimization, partitioning, indexing, etc.
Databricks or snowflake experience
Python/pyspark preferred, but open to any backend programming language
Bachelor's Degree
Job Description
The Data Engineer will be an integral part of the product development cycle, responsible for creating features and developing tables and hydration procedures in a Databricks environment. This role requires a deep understanding of SQL, as it is the core language for interacting with data. They will be taking features to translate them into technical development by creating SQL tables, stored procedures, orchestration of these products. The engineer will also work with Python and PySpark to build and manage data transformations. Additionally, they will learn about the domain context to effectively build data transformations.
Position Title: Data Engineer
Location: Fully Onsite in St. Louis
Duration: 12-month contract
Compensation Range: $40-$48/hour
Required Skills & Experience
3+ years of professional experience
Advanced in SQL, with the ability to read and write complex queries, stored procedures, optimization, partitioning, indexing, etc.
Databricks or snowflake experience
Python/pyspark preferred, but open to any backend programming language
Bachelor's Degree
Job Description
The Data Engineer will be an integral part of the product development cycle, responsible for creating features and developing tables and hydration procedures in a Databricks environment. This role requires a deep understanding of SQL, as it is the core language for interacting with data. They will be taking features to translate them into technical development by creating SQL tables, stored procedures, orchestration of these products. The engineer will also work with Python and PySpark to build and manage data transformations. Additionally, they will learn about the domain context to effectively build data transformations.
