Data Engineer

Innova Solutions•Plano, TX

About The Position

A client of Innova Solutions is hiring a Data Engineer on a 12+ month contract, with positions in Plano, Texas; Charlotte, North Carolina; and Jersey City, New Jersey. The engineer will design, develop, and maintain data ingestion and transformation pipelines to create governed, scalable, reusable data products. The role includes building Airflow DAGs, onboarding data sources, establishing and maintaining data connectivity, and creating and managing Iceberg tables to make curated datasets available for enterprise analytics and reporting. This position is open only to applicants who can be engaged on a W-2 basis; 1099 contractors and Corp-to-Corp arrangements will not be considered. Compensation is $65.00–$68.00 per hour. Benefits are offered based on eligibility.

Requirements

3–5 years of hands-on experience developing data engineering solutions using Python.
At least 2 years of experience developing and supporting Apache Airflow DAGs in production environments.
Experience designing, developing, and supporting data pipelines and automated workflow solutions.
Experience with S3-compatible object storage platforms or cloud object storage technologies.
Experience creating, managing, and troubleshooting Apache Iceberg tables or similar modern table formats.
Experience connecting to and integrating data from Oracle, SQL Server, Hive, Teradata, PostgreSQL, or similar enterprise platforms.
Proficiency in Linux/Unix environments, including shell scripting.
Experience with source control systems such as Git and collaborative software development practices.
Understanding of data lakehouse and modern data platform concepts.
Working knowledge of SQL and database design concepts.
Understanding of Agile software development methodology.
Strong analytical, troubleshooting, and problem-solving skills.
Excellent written and verbal communication skills.
Must be eligible for engagement on a W-2 basis; 1099 and Corp-to-Corp arrangements are not accepted.

Responsibilities

Design, develop, and maintain data ingestion and transformation pipelines.
Build Apache Airflow DAGs and support automated workflows.
Onboard new data sources and establish and maintain data connectivity.
Create, manage, and troubleshoot Apache Iceberg tables or similar modern table formats.
Make curated datasets available for enterprise analytics and reporting.
Design, develop, and support data pipelines and automated workflow solutions.