Compunnel Inc.
Data Engineer - - CHADC5779480
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer in Westbrook, Maine, with a contract length of unspecified duration, offering competitive pay. Key skills include AWS, Python, distributed data systems, and infrastructure-as-code. A Bachelor's degree and 5+ years of relevant experience are required.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
April 3, 2026
🕒 - Duration
Unknown
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🏝️ - Location
On-site
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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
#IAM (Identity and Access Management) #REST API #SQS (Simple Queue Service) #S3 (Amazon Simple Storage Service) #Snowflake #DynamoDB #Automated Testing #Terraform #Computer Science #API (Application Programming Interface) #SNS (Simple Notification Service) #SQL (Structured Query Language) #Airflow #Scala #Spark (Apache Spark) #REST (Representational State Transfer) #Data Engineering #XML (eXtensible Markup Language) #Database Systems #Lambda (AWS Lambda) #Python #AWS (Amazon Web Services) #Cloud #JSON (JavaScript Object Notation) #Storage
Role description
Job Title :: Senior Data Engineer (AWS, Distributed Data Systems)
Location :: Westbrook, Maine
Minimum Qualifications
Hands-on experience building production data systems or data services
Hands-on experience with AWS for building applications (Lambda, S3, API Gateway, IAM)
Solid proficiency in Python (and ideally Scala)
Demonstrated ability to debug and reason about distributed data systems (streaming pipelines, Spark on EMR/Glue, APIs, queues, storage layers)
Practical experience with infrastructure-as-code (Terraform or CloudFormation)
Bachelor’s degree in computer science, Information Technology, or equivalent experience
Preferred Qualifications
5+ years of experience developing highly reliable and fault-tolerant data systems in operational environments
3+ years of experience in AWS cloud services supporting streaming and distributed compute, including Lambda, Glue, Kinesis, EMR, S3, SNS, SQS, and DynamoDB
Experience building and maintaining REST APIs
Experience working with infrastructure-as-code (Terraform, CloudFormation)
Experience with CI/CD pipelines, automated testing, or building testable data services
Knowledge of a variety of database systems, including relational, document, and key-value pair
Experience with Snowflake as a downstream analytical/warehouse target (Airflow DAGs, COPY statements, SQL ingestion patterns)
Experience working with semi-structured event data (JSON/XML) and evolving schemas
Job Title :: Senior Data Engineer (AWS, Distributed Data Systems)
Location :: Westbrook, Maine
Minimum Qualifications
Hands-on experience building production data systems or data services
Hands-on experience with AWS for building applications (Lambda, S3, API Gateway, IAM)
Solid proficiency in Python (and ideally Scala)
Demonstrated ability to debug and reason about distributed data systems (streaming pipelines, Spark on EMR/Glue, APIs, queues, storage layers)
Practical experience with infrastructure-as-code (Terraform or CloudFormation)
Bachelor’s degree in computer science, Information Technology, or equivalent experience
Preferred Qualifications
5+ years of experience developing highly reliable and fault-tolerant data systems in operational environments
3+ years of experience in AWS cloud services supporting streaming and distributed compute, including Lambda, Glue, Kinesis, EMR, S3, SNS, SQS, and DynamoDB
Experience building and maintaining REST APIs
Experience working with infrastructure-as-code (Terraform, CloudFormation)
Experience with CI/CD pipelines, automated testing, or building testable data services
Knowledge of a variety of database systems, including relational, document, and key-value pair
Experience with Snowflake as a downstream analytical/warehouse target (Airflow DAGs, COPY statements, SQL ingestion patterns)
Experience working with semi-structured event data (JSON/XML) and evolving schemas
