

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 visa sponsorship available.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
640
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ποΈ - Date discovered
August 14, 2025
π - Project duration
More than 6 months
-
ποΈ - Location type
Remote
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π - Contract type
W2 Contractor
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π - Security clearance
Unknown
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π - Location detailed
United States
-
π§ - Skills detailed
#Agile #Data Transformations #Data Engineering #RDS (Amazon Relational Database Service) #"ETL (Extract #Transform #Load)" #Python #SQL (Structured Query Language) #IoT (Internet of Things) #Pandas #AWS (Amazon Web Services) #Data Ingestion #S3 (Amazon Simple Storage Service) #DynamoDB #SQL Queries
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 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:
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 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:
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.