Data Engineer

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