PRI Global
Senior Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer with a contract length of "unknown" and a pay rate of "unknown." It requires 5–8 years of experience in data engineering, mandatory banking domain experience, and skills in Hadoop, Spark, Python, SQL, and ETL tools.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
October 4, 2025
🕒 - Duration
Unknown
-
🏝️ - Location
Hybrid
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
St Louis, MO
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🧠 - Skills detailed
#Data Engineering #SSIS (SQL Server Integration Services) #Alteryx #Hadoop #Data Ingestion #Agile #Data Science #"ETL (Extract #Transform #Load)" #Spark (Apache Spark) #Cloud #Azure #NiFi (Apache NiFi) #Python #SQL (Structured Query Language) #AWS (Amazon Web Services)
Role description
Senior Data Engineer
Contract
Hybrid
ONLY LOCAL TO ST LOUIS MO
Banking Domain exp is mandatory
Must-Have Skills: Hadoop, Spark, Python, SQL, ETL tools (Alteryx, NiFi, SSIS).
Cloud Experience: Familiarity with AWS and Azure is important; Azure is preferred.
ETL Tools: Alteryx is currently used; NiFi is preferred for sensitive data. Experience with Alteryx is transferable to NiFi.
Experience Level: 5–8 years in data engineering, with end-to-end agile methodology experience.
Candidate will assist senior resources in implementing Microsoft Graph Data Connect, especially for Viva analytics.
Experience with Microsoft products and Viva analytics is preferred but not mandatory.
The role involves supporting data science teams with data ingestion, curation, transformation, and analysis.
Senior Data Engineer
Contract
Hybrid
ONLY LOCAL TO ST LOUIS MO
Banking Domain exp is mandatory
Must-Have Skills: Hadoop, Spark, Python, SQL, ETL tools (Alteryx, NiFi, SSIS).
Cloud Experience: Familiarity with AWS and Azure is important; Azure is preferred.
ETL Tools: Alteryx is currently used; NiFi is preferred for sensitive data. Experience with Alteryx is transferable to NiFi.
Experience Level: 5–8 years in data engineering, with end-to-end agile methodology experience.
Candidate will assist senior resources in implementing Microsoft Graph Data Connect, especially for Viva analytics.
Experience with Microsoft products and Viva analytics is preferred but not mandatory.
The role involves supporting data science teams with data ingestion, curation, transformation, and analysis.
