Techgene Solutions
Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer in Minnesota with a long-term contract, offering a pay rate of "unknown." Key skills include Python, AWS Glue, and strong SQL. The position requires onsite work for the first two months, followed by remote work.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
December 16, 2025
🕒 - Duration
More than 6 months
-
🏝️ - Location
Hybrid
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
Minnesota, United States
-
🧠 - Skills detailed
#Data Lake #Apache Spark #Data Engineering #Data Quality #Lambda (AWS Lambda) #Data Processing #Cloud #Data Pipeline #Scala #Data Architecture #Terraform #AWS (Amazon Web Services) #Databases #SQL (Structured Query Language) #AWS Glue #Python #Spark (Apache Spark) #Storage #Redshift #Athena #S3 (Amazon Simple Storage Service) #"ETL (Extract #Transform #Load)"
Role description
Job Title: Data Engineer
Location: Minnesota
Duration: Long-term
Job Description:
We are looking for an experienced Data Engineer with strong Python and AWS Glue expertise to support enterprise data engineering initiatives. The role requires an initial onsite presence in Minnesota for onboarding and collaboration, followed by full remote work.
Responsibilities:
• Design, develop, and maintain scalable ETL/ELT data pipelines
• Build and optimize data workflows using AWS Glue
• Develop data processing logic using Python
• Ingest data from multiple sources including databases, APIs, and cloud storage
• Work with AWS services such as S3, Lambda, Athena, Redshift, and CloudWatch
• Ensure data quality, validation, performance tuning, and error handling
• Collaborate with data architects, analysts, and business stakeholders
• Monitor, troubleshoot, and support production data pipelines
• Document data processes and technical designs
Required Skills:
• Proven experience as a Data Engineer
• Strong hands-on experience with Python
• Solid experience with AWS Glue
• Good understanding of ETL concepts, data warehousing, and data lakes
• Strong SQL skills
• Experience working in cloud-based data platforms (AWS preferred)
• Ability to work onsite in Minnesota for the first 2 months
Preferred Skills:
• Experience with Apache Spark
• Knowledge of CI/CD pipelines for data engineering
• Experience with Terraform or CloudFormation
• Enterprise or long-term project experience
Job Title: Data Engineer
Location: Minnesota
Duration: Long-term
Job Description:
We are looking for an experienced Data Engineer with strong Python and AWS Glue expertise to support enterprise data engineering initiatives. The role requires an initial onsite presence in Minnesota for onboarding and collaboration, followed by full remote work.
Responsibilities:
• Design, develop, and maintain scalable ETL/ELT data pipelines
• Build and optimize data workflows using AWS Glue
• Develop data processing logic using Python
• Ingest data from multiple sources including databases, APIs, and cloud storage
• Work with AWS services such as S3, Lambda, Athena, Redshift, and CloudWatch
• Ensure data quality, validation, performance tuning, and error handling
• Collaborate with data architects, analysts, and business stakeholders
• Monitor, troubleshoot, and support production data pipelines
• Document data processes and technical designs
Required Skills:
• Proven experience as a Data Engineer
• Strong hands-on experience with Python
• Solid experience with AWS Glue
• Good understanding of ETL concepts, data warehousing, and data lakes
• Strong SQL skills
• Experience working in cloud-based data platforms (AWS preferred)
• Ability to work onsite in Minnesota for the first 2 months
Preferred Skills:
• Experience with Apache Spark
• Knowledge of CI/CD pipelines for data engineering
• Experience with Terraform or CloudFormation
• Enterprise or long-term project experience
