Compunnel Inc.
Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer (Hybrid – Westbrook, ME) with a 5+ year experience requirement, focusing on AWS serverless data pipelines, Apache Spark, and strong SQL/Python skills. Pay rate and contract length are unspecified.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
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🗓️ - Date
November 21, 2025
🕒 - Duration
Unknown
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🏝️ - Location
Hybrid
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Westbrook, ME
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🧠 - Skills detailed
#Data Engineering #NoSQL #Python #S3 (Amazon Simple Storage Service) #SQL (Structured Query Language) #Scala #AWS (Amazon Web Services) #Databases #Lambda (AWS Lambda) #Data Modeling #Data Quality #Spark (Apache Spark) #Apache Spark #IAM (Identity and Access Management) #Snowflake #Data Pipeline #Cloud
Role description
🚀 Senior Data Engineer (Hybrid – Westbrook, ME)
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About the Role
A Senior Data Engineer to accelerate the evolution of our global LIMS platform. You will design and enhance cloud-native, near real-time data pipelines that deliver diagnostic results globally. This role is key to ensuring scalability, reliability, and technical excellence across our data ecosystem.
What You'll Do
• Build and optimize AWS serverless data pipelines (Glue, Lambda, Kinesis).
• Work cross-functionally to support near real-time processing workflows.
• Develop fault-tolerant, production-grade data solutions using Spark, Python, and Scala.
• Document data flows and architectural decisions.
• Partner with QE to validate data quality and performance.
• Drive best practices, architectural improvements, and platform stability.
Top Skills Needed
• Cloud-based data engineering & infrastructure-as-code
• Apache Spark
• Strong SQL + Python (preferred)
• Proven ability to operate independently in complex environments
Nice to Have
• Data modeling & warehousing
• Experience with Snowflake
• AWS stack (S3, Glue, Lambda, Kinesis, IAM)
• Relational & NoSQL databases
• CI/CD, SDLC best practices
Qualifications
• 5+ years in Senior Data Engineering
• Strong problem-solving & communication
• Experience with streaming tech (Kinesis)
• Broad cloud-native data ecosystem knowledge
🚀 Senior Data Engineer (Hybrid – Westbrook, ME)
=
About the Role
A Senior Data Engineer to accelerate the evolution of our global LIMS platform. You will design and enhance cloud-native, near real-time data pipelines that deliver diagnostic results globally. This role is key to ensuring scalability, reliability, and technical excellence across our data ecosystem.
What You'll Do
• Build and optimize AWS serverless data pipelines (Glue, Lambda, Kinesis).
• Work cross-functionally to support near real-time processing workflows.
• Develop fault-tolerant, production-grade data solutions using Spark, Python, and Scala.
• Document data flows and architectural decisions.
• Partner with QE to validate data quality and performance.
• Drive best practices, architectural improvements, and platform stability.
Top Skills Needed
• Cloud-based data engineering & infrastructure-as-code
• Apache Spark
• Strong SQL + Python (preferred)
• Proven ability to operate independently in complex environments
Nice to Have
• Data modeling & warehousing
• Experience with Snowflake
• AWS stack (S3, Glue, Lambda, Kinesis, IAM)
• Relational & NoSQL databases
• CI/CD, SDLC best practices
Qualifications
• 5+ years in Senior Data Engineering
• Strong problem-solving & communication
• Experience with streaming tech (Kinesis)
• Broad cloud-native data ecosystem knowledge
