

Senior Data Engineer
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer in Portland, ME, for a 6-month contract at $XX/hour. Key skills include AWS services (Lambda, Glue), Apache Spark, Scala, and ETL pipeline development. Requires 5+ years of relevant experience.
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
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ποΈ - Date discovered
July 3, 2025
π - Project duration
Unknown
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ποΈ - Location type
On-site
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π - Contract type
Unknown
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π - Security clearance
Unknown
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π - Location detailed
Portland, Maine Metropolitan Area
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π§ - Skills detailed
#Metadata #SQL (Structured Query Language) #Lambda (AWS Lambda) #AWS Kinesis #Infrastructure as Code (IaC) #Cloud #Data Pipeline #MongoDB #AWS (Amazon Web Services) #Oracle #Python #Programming #Data Engineering #Spark (Apache Spark) #"ETL (Extract #Transform #Load)" #DynamoDB #MySQL #Apache Spark #Databases #NoSQL #Data Processing #Scala #PostgreSQL
Role description
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Could you be a good fit? We are looking for the best, highly skilled Senior Data Engineer to join the team of our exceptional client located in Portland, ME for a contract opportunity.
Benefits:
β’ Healthcare Medical (PPO or HMO)
β’ Dental Insurance
β’ 401k
What will your day look like? As a Senior Data Engineer, you will:
β’ Implement and design scalable serverless data solutions using AWS services such as Lambda and Glue.
β’ Maintain and develop reliable and scalable data solutions that support business and operational requirements. Collaborate with cross-functional teams to meet and understand data needs for near real-time processing.
β’ Document architecture decisions, data flows, and metadata to ensure maintainability and knowledge sharing.
β’ Implement and design fault-tolerant systems, ensuring resilience and high availability in data processing pipelines.
You will be a good fit for the Senior Data Engineer role if you have:
β’ 5 plus years of related hands-on experience within a technology-driven environment
β’ Proven experience maintaining and building operational data pipelines, particularly with streaming technologies like AWS Kinesis
β’ Strong proficiency in Apache Spark and Scala
β’ Experience in AWS cloud services with a focus on serverless architectures for data processing (Glue, Lambda, etc.)
β’ SQL and NoSQL databases (Oracle, MySQL, PostgreSQL, MongoDB, DynamoDB)
β’ Experience building ETL pipelines and data services in the cloud using infrastructure as code and large-scale data processing engines, like Spark
β’ Strong experience with SQL and one or more programming languages, with Python preferred
β’ Strong communication and problemβsolving skills, with the ability to prioritize and adapt to changing business needs
About Market Street Talent
Our Vision: To promote and foster the growth of information technology (IT) in our worldβ¦one candidate, one client, one community at a time.
Our Goal: To coach clients and candidates through the entire placement process and cultivate long term healthy business relationships.
Our Culture: At MST, we believe in pursuing excellence in everything we do, treating everyone with the utmost respect, and showing empathy for our community.