Data Engineer

Job Summary

Collaborate with distributed development teams, use Agile/Scrum practices, and demonstrate strong technical communication.

• Design, develop, and maintain data pipelines using Oracle SQL, PL/SQL, Azure Data Factory, AWS, Snowflake, and Airflow.
• Analyze business requirements, translate them into technical solutions, and recommend strategic improvements.
• Communicate complex technical concepts to engineering and non‑engineering stakeholders.
• Explore new technologies/tools and continuously enhance data engineering capabilities.

• Bachelor’s degree in Computer Science, Engineering, or Mathematics; 10+ years of experience.
• Experience with Oracle SQL, PL/SQL, Azure, AWS, Snowflake, Azure Data Factory, and Airflow.
• Strong analytical, problem‑solving, and strategic thinking skills.
• Excellent verbal and written communication abilities, comfortable summarizing technical information.

Contract – 8 am to 5 pm, 8 hr days, $72‑$73 per hour.

Equal Opportunity

Employer:

Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status or any other legally protected group status.

Offers a comprehensive benefits package, including medical, prescription, dental, vision, AD&D, and life insurance, short‑term disability, and a 401K plan (eligible).