Enexus Global Inc.
Jr. Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Jr. Data Engineer, lasting 12 months+, remote. Required skills include strong Python, PySpark, and data structures. Candidates should have 2-4 years of experience in building data pipelines and proficiency in Linux and SQL.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
October 2, 2025
🕒 - Duration
More than 6 months
-
🏝️ - Location
Remote
-
📄 - Contract
W2 Contractor
-
🔒 - Security
Unknown
-
📍 - Location detailed
United States
-
🧠 - Skills detailed
#AWS (Amazon Web Services) #Linux #GitLab #Spark (Apache Spark) #Monitoring #Scala #PySpark #Data Pipeline #Jenkins #Python #Automation #BitBucket #SQL (Structured Query Language) #GIT #Data Engineering
Role description
Jr Data Engineer.
Duration: 12 Months+
Location: Remote
W2/C2C
Skills: Strong Python and Pyspark and Good with Data Structures and algorithms
Experience: 2 to 4 years
Responsibilities
• Develop and enhance data-processing, orchestration, monitoring, and more by leveraging popular open-source software, AWS, and GitLab automation.
• Collaborate with product and technology teams to design and validate the capabilities of the data platform
• Identify, design, and implement process improvements: automating manual processes, optimizing for usability, re-designing for greater scalability
• Provide technical support and usage guidance to the users of our platform’s services.
• Drive the creation and refinement of metrics, monitoring, and alerting mechanisms to give us the visibility we need into our production services.
Qualifications
• Experience building and optimizing data pipelines in a distributed environment
• Experience supporting and working with cross-functional teams..
• Proficiency working in Linux environment
• working knowledge of SQL, Python, and PySpark
• Git/Bitbucket, Jenkins/CodeBuild, CodePipeline
Jr Data Engineer.
Duration: 12 Months+
Location: Remote
W2/C2C
Skills: Strong Python and Pyspark and Good with Data Structures and algorithms
Experience: 2 to 4 years
Responsibilities
• Develop and enhance data-processing, orchestration, monitoring, and more by leveraging popular open-source software, AWS, and GitLab automation.
• Collaborate with product and technology teams to design and validate the capabilities of the data platform
• Identify, design, and implement process improvements: automating manual processes, optimizing for usability, re-designing for greater scalability
• Provide technical support and usage guidance to the users of our platform’s services.
• Drive the creation and refinement of metrics, monitoring, and alerting mechanisms to give us the visibility we need into our production services.
Qualifications
• Experience building and optimizing data pipelines in a distributed environment
• Experience supporting and working with cross-functional teams..
• Proficiency working in Linux environment
• working knowledge of SQL, Python, and PySpark
• Git/Bitbucket, Jenkins/CodeBuild, CodePipeline
