NLB Services

Senior 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." It requires strong backend development skills, proficiency in Python and PostgreSQL, and AI/RAG experience. Remote work is available for EST time zone candidates only.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
June 12, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Remote
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
New York, United States
-
🧠 - Skills detailed
#"ETL (Extract #Transform #Load)" #Database Schema #Lambda (AWS Lambda) #PostgreSQL #Databases #FastAPI #AWS (Amazon Web Services) #Scala #Data Modeling #Data Architecture #Azure #AI (Artificial Intelligence) #Data Processing #Quality Assurance #SQL (Structured Query Language) #SQL Queries #Data Engineering #Python
Role description
Data Engineer Manager Remote (EST Time Zone candidate only) Required Skills • Strong Data Engineering and backend development experience. • Proficiency in Python, PostgreSQL, and advanced SQL. • Hands-on experience with AWS services, including EKS and Lambda. • Experience building and supporting APIs using FastAPI. • Strong understanding of ETL/ELT pipelines, data modeling, data validation, and performance optimization. • Experience working with Parquet and large-scale data processing. • Finance, analytics, or data-intensive domain experience preferred. Key Responsibilities • Refactor and optimize ETL workflows for scalability, performance, and reliability. • Perform extensive data testing, validation, and quality assurance. • Optimize SQL queries, database schemas, and table performance. • Improve overall data architecture, operational efficiency, and system reliability. • Develop and maintain backend services and APIs. • Track deliverables, timelines, risks, and dependencies with clear execution visibility and status reporting. • Communicate progress proactively and escalate risks when needed. AI / RAG Experience (Required) Candidates must have exposure to AI-powered applications and Retrieval-Augmented Generation (RAG) solutions. Submission Requirement: Please include details of the candidate's AI/RAG experience, including: • RAG frameworks and architectures used • Vector databases • LLM integrations (OpenAI, Azure OpenAI, Anthropic, etc.) • AI search, chatbot, or knowledge retrieval implementations