Aureon Consulting
Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer with a contract length of "unknown" and a pay rate of "unknown." Work location is "remote." Key skills include Node.js, TypeScript, AWS serverless, event-driven systems, and data pipelines. Experience with S3-based data lakes is required.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
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🗓️ - Date
May 9, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Unknown
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
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📍 - Location detailed
Des Moines, IA
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🧠 - Skills detailed
#Data Quality #NoSQL #SQL (Structured Query Language) #Data Lake #Lambda (AWS Lambda) #"ETL (Extract #Transform #Load)" #S3 (Amazon Simple Storage Service) #AWS (Amazon Web Services) #Data Engineering #Data Pipeline #TypeScript #Python #SQS (Simple Queue Service) #Databases #Data Governance #AWS Glue #Scala #Data Processing #Cloud #SNS (Simple Notification Service)
Role description
NO C2C or 3rd Party Inquires please -DIRECT APPLICANTS ONLY
Senior Data Engineer (Full Stack / AWS / Event‑Driven)
We’re partnering with a technology-driven organization to find a Full Stack + Data Engineer who enjoys working across backend APIs, event-driven systems, and modern data platforms.
This is a great fit for an engineer who likes building cloud-native services while also enabling scalable, reliable data pipelines and Lakehouse architectures.
What You’ll Be Doing
• Build and maintain backend APIs using Node.js, TypeScript, and Express
• Design and support AWS serverless solutions (Lambda, Step Functions)
• Implement and support event-driven architectures using SNS, SQS, and EventBridge
• Develop and maintain data pipelines / ETL workflows
• Contribute to S3-based data lakes or lakehouse architectures
• Partner with engineering and data teams to ensure data quality, reliability, and performance
Required Experience
• Strong hands-on experience with Node.js, TypeScript, Express
• AWS serverless experience (Lambda, Step Functions)
• Experience with event-driven systems (SNS, SQS, EventBridge)
• Background building or supporting data pipelines or ETL processes
• Working knowledge of:
• S3-based data lakes or lakehouse concepts
• SQL and NoSQL databases
Nice to Have
• AWS Glue
• Iceberg and Parquet
• Lakehouse / medallion architecture (Bronze / Silver / Gold)
• Python for data processing or ETL
• Experience with high-volume event ingestion
• Exposure to data governance and data quality best practices
NO C2C or 3rd Party Inquires please -DIRECT APPLICANTS ONLY
Senior Data Engineer (Full Stack / AWS / Event‑Driven)
We’re partnering with a technology-driven organization to find a Full Stack + Data Engineer who enjoys working across backend APIs, event-driven systems, and modern data platforms.
This is a great fit for an engineer who likes building cloud-native services while also enabling scalable, reliable data pipelines and Lakehouse architectures.
What You’ll Be Doing
• Build and maintain backend APIs using Node.js, TypeScript, and Express
• Design and support AWS serverless solutions (Lambda, Step Functions)
• Implement and support event-driven architectures using SNS, SQS, and EventBridge
• Develop and maintain data pipelines / ETL workflows
• Contribute to S3-based data lakes or lakehouse architectures
• Partner with engineering and data teams to ensure data quality, reliability, and performance
Required Experience
• Strong hands-on experience with Node.js, TypeScript, Express
• AWS serverless experience (Lambda, Step Functions)
• Experience with event-driven systems (SNS, SQS, EventBridge)
• Background building or supporting data pipelines or ETL processes
• Working knowledge of:
• S3-based data lakes or lakehouse concepts
• SQL and NoSQL databases
Nice to Have
• AWS Glue
• Iceberg and Parquet
• Lakehouse / medallion architecture (Bronze / Silver / Gold)
• Python for data processing or ETL
• Experience with high-volume event ingestion
• Exposure to data governance and data quality best practices
