Hudson IT and Manpower
Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Data Engineer contract position in Columbus, OH, requiring expertise in Python, PySpark, and AWS. Key skills include data modeling, ETL frameworks, and experience with distributed data systems. Familiarity with Airflow and streaming platforms is preferred.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
February 20, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
On-site
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
Columbus, OH
-
🧠 - Skills detailed
#Spark (Apache Spark) #AWS (Amazon Web Services) #S3 (Amazon Simple Storage Service) #Airflow #Delta Lake #Redshift #Kubernetes #"ETL (Extract #Transform #Load)" #Data Processing #Scala #Lambda (AWS Lambda) #Databases #Data Pipeline #SQL (Structured Query Language) #GIT #Athena #Python #Kafka (Apache Kafka) #Apache Spark #Data Engineering #Docker #PySpark #Data Modeling
Role description
Job Description
We are seeking an experienced Data Engineer to design, build, and maintain scalable data pipelines and distributed data systems. The ideal candidate will have strong expertise in Python, PySpark, and AWS-based data platforms, along with solid experience in data modeling and ETL frameworks.
Location: Columbus, OH
Work Mode: Onsite
Employment Type: Contract
Preferred / Nice to Have
• Experience with Airflow or other workflow orchestration tools
• Knowledge of Kafka, Kinesis, or streaming data platforms
• Experience with Docker/Kubernetes
• Exposure to Delta Lake, Iceberg, or Hudi
Required Skills & Qualifications
• Strong proficiency in Python for data processing and pipeline development
• Hands-on experience with Apache Spark (PySpark preferred)
• Solid experience with AWS services such as S3, Glue, EMR, Redshift, Athena, and Lambda
• Strong experience with SQL and relational/non-relational databases
• Knowledge of data modeling, data warehousing concepts, and ETL frameworks
• Experience working with large-scale distributed data systems
• Familiarity with CI/CD pipelines and Git
• Strong analytical, problem-solving, and communication skills
Job Description
We are seeking an experienced Data Engineer to design, build, and maintain scalable data pipelines and distributed data systems. The ideal candidate will have strong expertise in Python, PySpark, and AWS-based data platforms, along with solid experience in data modeling and ETL frameworks.
Location: Columbus, OH
Work Mode: Onsite
Employment Type: Contract
Preferred / Nice to Have
• Experience with Airflow or other workflow orchestration tools
• Knowledge of Kafka, Kinesis, or streaming data platforms
• Experience with Docker/Kubernetes
• Exposure to Delta Lake, Iceberg, or Hudi
Required Skills & Qualifications
• Strong proficiency in Python for data processing and pipeline development
• Hands-on experience with Apache Spark (PySpark preferred)
• Solid experience with AWS services such as S3, Glue, EMR, Redshift, Athena, and Lambda
• Strong experience with SQL and relational/non-relational databases
• Knowledge of data modeling, data warehousing concepts, and ETL frameworks
• Experience working with large-scale distributed data systems
• Familiarity with CI/CD pipelines and Git
• Strong analytical, problem-solving, and communication skills
