

Sr. AWS Data Engineer (12 Years+) with Salesforce | W2 Contract
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Sr. AWS Data Engineer with 12+ years of experience, based in Boston, MA (Hybrid). Key skills include AWS services, SQL, Salesforce knowledge, Python, and Tableau. Contract length is W2, with a pay rate of "unknown."
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
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ποΈ - Date discovered
August 13, 2025
π - Project duration
Unknown
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ποΈ - Location type
Hybrid
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π - Contract type
W2 Contractor
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π - Security clearance
Unknown
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π - Location detailed
Boston, MA
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π§ - Skills detailed
#Cloud #ML (Machine Learning) #Programming #SNS (Simple Notification Service) #Scripting #AI (Artificial Intelligence) #Data Analysis #Lambda (AWS Lambda) #MySQL #TensorFlow #Python #Automation #Data Engineering #Oracle #AWS (Amazon Web Services) #Process Automation #Databases #Redshift #SQL (Structured Query Language) #Debugging #SQS (Simple Queue Service) #PostgreSQL #S3 (Amazon Simple Storage Service) #Tableau
Role description
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Job Description Below:-
Role: Senior Data Engineer
Experience: 12 Years+
Location: Boston, MA (Hybrid β 3 days onsite)
Job Description:
We are looking for a Senior Data Engineer with added emphasis on data analysis and Salesforce knowledge.
We are looking for someone who has excellent problem-solving and debugging skills, a keen eye for detail, and a high level of commitment and motivation.
The ideal candidate should be capable of working independently and collaboratively, taking the lead.
Effective communication with management and stakeholders about issues, incidents, and updates on time is also paramount. Further, this would require the Engineer to work in hybrid mode, 3-4 days from the office.
Key requirements for the position:
β’ A robust background in AWS services such as Lambda, Glue, S3, EMR, SNS, SQS, CloudWatch, Redshift, and Bedrock.
β’ Strong expertise in SQL and relational databases like Oracle, MySQL, and PostgreSQL.
β’ Familiarity with the Salesforce platform, including data models and objects.
β’ Proficiency in Python programming for data engineering tasks.
β’ Skilled in scripting for task and process automation.
β’ Experience with Tableau dashboards and troubleshooting.
Some of the additional skills are knowledge of machine learning tooling/frameworks (such as scikit-learn or TensorFlow) and AI/LLM knowledge, particularly with foundation models, RAG, embeddings, vectors, prompt engineering, and MCP.