

Connect Search, LLC
Senior Data Engineer
β - 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.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
640
-
ποΈ - Date
October 3, 2025
π - Duration
More than 6 months
-
ποΈ - Location
Remote
-
π - Contract
W2 Contractor
-
π - Security
Unknown
-
π - Location detailed
United States
-
π§ - 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:
β’ Python Development: Employ Python and Pandas for data transformations, converting SQL operations into Python code.
β’ Pipeline Development: Design and implement back-end data engineering pipelines for large-scale processing.
β’ Data Ingestion: Manage data ingestion from various sources into AWS, utilizing Kinesis and S3 for frequent streaming.
β’ SQL Proficiency: Write complex SQL queries, including multi-table joins to update records.
β’ Agile Delivery: Work within Agile teams to deliver features in 2-week cycles.
β’ CI/CD Implementation: Use CI/CD practices to streamline data workflows.
Qualifications:
β’ 8+ years of data engineering experience in large-scale systems.
β’ 2+ years with AWS services (S3, RDS, DynamoDB, Kinesis).
β’ Proficient in SQL, preferably advanced.
β’ Experience with Python and Pandas.
β’ 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.
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:
β’ Python Development: Employ Python and Pandas for data transformations, converting SQL operations into Python code.
β’ Pipeline Development: Design and implement back-end data engineering pipelines for large-scale processing.
β’ Data Ingestion: Manage data ingestion from various sources into AWS, utilizing Kinesis and S3 for frequent streaming.
β’ SQL Proficiency: Write complex SQL queries, including multi-table joins to update records.
β’ Agile Delivery: Work within Agile teams to deliver features in 2-week cycles.
β’ CI/CD Implementation: Use CI/CD practices to streamline data workflows.
Qualifications:
β’ 8+ years of data engineering experience in large-scale systems.
β’ 2+ years with AWS services (S3, RDS, DynamoDB, Kinesis).
β’ Proficient in SQL, preferably advanced.
β’ Experience with Python and Pandas.
β’ 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.






