Connect Search, LLC

Senior Data Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer on a 24-month fully remote contract, requiring 8+ years of experience in data engineering, proficiency in SQL and Python, and expertise in AWS services. W2 workers only; no H1Bs.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
640
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🗓️ - Date
October 3, 2025
🕒 - Duration
More than 6 months
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🏝️ - Location
Remote
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#Agile #"ETL (Extract #Transform #Load)" #Python #DynamoDB #AWS (Amazon Web Services) #Data Engineering #S3 (Amazon Simple Storage Service) #Data Transformations #Data Ingestion #SQL Queries #RDS (Amazon Relational Database Service) #Pandas #IoT (Internet of Things) #SQL (Structured Query Language)
Role description
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 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.