Full Stack Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Full Stack Data Engineer on a long-term W2 contract, remotely based in the USA. Key skills include AWS, Python or Scala, SQL, and experience with Apache Spark/Kafka. AWS certification is a plus.
🌎 - Country
United States
💱 - Currency
$ USD
💰 - Day rate
Unknown
Unknown
🗓️ - Date discovered
May 19, 2025
🕒 - Project duration
Unknown
🏝️ - Location type
Remote
📄 - Contract type
W2 Contractor
🔒 - Security clearance
Unknown
📍 - Location detailed
United States
🧠 - Skills detailed
#Data Processing #Unix #Data Architecture #Cloud #Scala #Python #Kafka (Apache Kafka) #"ETL (Extract #Transform #Load)" #Apache Kafka #DevOps #Scripting #Apache Spark #SQL (Structured Query Language) #Data Modeling #Databricks #Spark (Apache Spark) #Linux #Programming #Shell Scripting #Big Data #Snowflake #AWS (Amazon Web Services) #Data Engineering
Role description
Job Title: Full Stack Data Engineer
Location: Remote (USA)
Job Type: Long-term Contract (W2 only)
Required Skills
About the Role:
We are seeking a skilled Data Engineer with a strong background in cloud platforms—preferably AWS—to design and implement scalable big data and ETL solutions. The ideal candidate will have experience working with distributed data processing tools, modern data platforms, and a solid programming foundation in Python or Scala.
Required Skills & Qualifications:
• Proven experience as a Data Engineer working on cloud platforms (AWS preferred).
• Proficiency in at least one programming language: Scala or Python.
• Strong expertise in SQL and Unix/Linux shell scripting.
• Hands-on experience with distributed data/computing tools such as Apache Spark and/or Apache Kafka.
• Familiarity or working experience with Snowflake and Databricks.
• Solid understanding of data modeling, ETL design patterns, and big data architectures.
Good to Have
• AWS certification (e.g., AWS Certified Data Analytics – Specialty) is a plus.
• Experience with CI/CD pipelines and DevOps practices for data engineering.
Job Title: Full Stack Data Engineer
Location: Remote (USA)
Job Type: Long-term Contract (W2 only)
Required Skills
About the Role:
We are seeking a skilled Data Engineer with a strong background in cloud platforms—preferably AWS—to design and implement scalable big data and ETL solutions. The ideal candidate will have experience working with distributed data processing tools, modern data platforms, and a solid programming foundation in Python or Scala.
Required Skills & Qualifications:
• Proven experience as a Data Engineer working on cloud platforms (AWS preferred).
• Proficiency in at least one programming language: Scala or Python.
• Strong expertise in SQL and Unix/Linux shell scripting.
• Hands-on experience with distributed data/computing tools such as Apache Spark and/or Apache Kafka.
• Familiarity or working experience with Snowflake and Databricks.
• Solid understanding of data modeling, ETL design patterns, and big data architectures.
Good to Have
• AWS certification (e.g., AWS Certified Data Analytics – Specialty) is a plus.
• Experience with CI/CD pipelines and DevOps practices for data engineering.
