Data Engineer
- On-site
- Columbus, Ohio, United States
- Information Technology
Data Engineer role in Columbus, OH requiring strong Python, PySpark, and AWS expertise. Work on scalable data pipelines, distributed systems, and modern ETL frameworks.
Job 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
Job requirements
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
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