$120K - 160K a year
Develop and maintain back-end data engineering pipelines using Python and AWS services, manage data ingestion and streaming, and deliver features in an Agile environment.
8+ years of data engineering experience, 2+ years with AWS services including S3, RDS, DynamoDB, and Kinesis, proficiency in SQL and Python, and strong understanding of data streaming and ingestion.
Our client is going through a digital transformation on IoT equipment and are seeking to hire multiple engineers. This is a 24 Month Fully Remote Contract can hire only W2 Workers and Cannot work with any H1Bs nor can we sponsor any visas Overview: We are seeking multiple experienced Data Engineers with 8+ years in of experience, focusing on back-end pipeline development and AWS technologies. Proficiency in SQL and Python is essential, along with the ability to thrive in a fast-paced Agile environment. Key Responsibilities: • Python Development: Employ Python and Pandas for data transformations, converting SQL operations into Python code. • Pipeline Development: Design and implement back-end data engineering pipelines for large-scale processing. • Data Ingestion: Manage data ingestion from various sources into AWS, utilizing Kinesis and S3 for frequent streaming. • SQL Proficiency: Write complex SQL queries, including multi-table joins to update records. • Agile Delivery: Work within Agile teams to deliver features in 2-week cycles. • CI/CD Implementation: Use CI/CD practices to streamline data workflows. Qualifications: • 8+ years of data engineering experience in large-scale systems. • 2+ years with AWS services (S3, RDS, DynamoDB, Kinesis). • Proficient in SQL, preferably advanced. • Experience with Python and Pandas. • Strong understanding of data streaming and ingestion. Benefits can include: Medical, Dental, Vision, Life Insurance, Short-Term Disability, Long-Term Disability, 401(k), Vacation, PTO, Sick/Personal Time, Holidays, etc.
This job posting was last updated on 8/18/2025