Creospan Inc.
Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Data Engineer position for a 3+ month contract, offering a pay rate of "$X per hour." It is remote and requires strong SQL, Python skills, and experience with data pipelines. Candidates must have 3+ years in Data Engineering.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
August 1, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Remote
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#Tableau #Hadoop #Data Science #"ETL (Extract #Transform #Load)" #Data Quality #Data Engineering #GIT #Presto #SQL Queries #Data Pipeline #Mercurial #BI (Business Intelligence) #SQL (Structured Query Language) #Airflow #Python #Spark (Apache Spark) #Scala
Role description
Creospan is a growing tech collective of makers, shakers, and problem solvers, offering solutions today that will propel businesses into a better tomorrow. “Tomorrow’s ideas, built today!” In addition to being able to work alongside equally brilliant and motivated developers, our consultants appreciate the opportunity to learn and apply new skills and methodologies to different clients and industries.
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•
•
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• NO C2C/3RD PARTY, LOOKING FOR W2 CANDIDATES ONLY, must be able to work in the US without sponsorship now or in the future
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• Job Title: Data Engineer / Analytics Engineer (ProdOps)
Location: Remote (US)
Job Summary
Seeking a Data Engineer to support the ProdOps team by building and maintaining dashboards, ETL/data pipelines, and production-grade Hive/Presto tables. The role involves ensuring data quality, optimizing data models, and partnering with cross-functional teams to deliver scalable analytics solutions.
Must-Have Skills
• Strong SQL (Presto, Hive, SparkSQL)
• Python
• Experience building and maintaining data pipelines (Airflow, Dataswarm, or similar)
• Data warehousing & dimensional modeling
• Strong analytical and problem-solving skills
Preferred Skills
• Spark/Hadoop
• Tableau, Unidash, or similar BI tools
• Git or Mercurial
• Experience at Meta or another large tech company (ProdOps experience is a plus)
Experience
• 3+ years required
• 5+ years preferred in Data Engineering or Analytics Engineering
Key Responsibilities
• Build dashboards and reporting solutions
• Develop and maintain ETL/data pipelines
• Create and manage Hive/Presto tables
• Monitor data quality and pipeline health
• Optimize SQL queries and data models
• Collaborate with Data Scientists and Product teams
Creospan is a growing tech collective of makers, shakers, and problem solvers, offering solutions today that will propel businesses into a better tomorrow. “Tomorrow’s ideas, built today!” In addition to being able to work alongside equally brilliant and motivated developers, our consultants appreciate the opportunity to learn and apply new skills and methodologies to different clients and industries.
•
•
•
•
•
• NO C2C/3RD PARTY, LOOKING FOR W2 CANDIDATES ONLY, must be able to work in the US without sponsorship now or in the future
•
•
• Job Title: Data Engineer / Analytics Engineer (ProdOps)
Location: Remote (US)
Job Summary
Seeking a Data Engineer to support the ProdOps team by building and maintaining dashboards, ETL/data pipelines, and production-grade Hive/Presto tables. The role involves ensuring data quality, optimizing data models, and partnering with cross-functional teams to deliver scalable analytics solutions.
Must-Have Skills
• Strong SQL (Presto, Hive, SparkSQL)
• Python
• Experience building and maintaining data pipelines (Airflow, Dataswarm, or similar)
• Data warehousing & dimensional modeling
• Strong analytical and problem-solving skills
Preferred Skills
• Spark/Hadoop
• Tableau, Unidash, or similar BI tools
• Git or Mercurial
• Experience at Meta or another large tech company (ProdOps experience is a plus)
Experience
• 3+ years required
• 5+ years preferred in Data Engineering or Analytics Engineering
Key Responsibilities
• Build dashboards and reporting solutions
• Develop and maintain ETL/data pipelines
• Create and manage Hive/Presto tables
• Monitor data quality and pipeline health
• Optimize SQL queries and data models
• Collaborate with Data Scientists and Product teams
