

NAVA Software Solutions
AI Data Engineer- W2 CONTRACT
β - Featured Role | Apply direct with Data Freelance Hub
This role is for an AI Data Engineer on a W2 contract, remote for an unspecified duration. Key skills include data engineering, Python, SQL, Spark, and AI/ML systems. Experience in operationalizing data systems and a strong statistical intuition are required.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
Unknown
-
ποΈ - Date
May 8, 2026
π - Duration
Unknown
-
ποΈ - Location
Remote
-
π - Contract
W2 Contractor
-
π - Security
Unknown
-
π - Location detailed
United States
-
π§ - Skills detailed
#Observability #Spark (Apache Spark) #Batch #AI (Artificial Intelligence) #Data Pipeline #Scala #Data Engineering #Data Quality #SQL (Structured Query Language) #ML (Machine Learning) #Python
Role description
Title: AI Data Engineer
Client: Innova solutions//Oncolens
Location: Remote
What Youβll Do
Build & Own Data Systems
β’ Design and maintain scalable data pipelines (batch and real-time)
β’ Ensure data quality, consistency, and reliability across systems
β’ Eliminate βgray areasβ between upstream and downstream data
Ship AI-Driven Features
β’ Partner with product and engineering to deliver AI-enabled functionality
β’ Deploy, monitor, and troubleshoot LLM-based and ML systems in production
β’ Focus on shipping reliable outputs, not just experimentation
Operationalize & Validate
β’ Productionize models and workflows into robust, maintainable systems
β’ Build validation frameworks and sanity checks for output quality
β’ Improve observability, performance, and system reliability
Work Through Ambiguity
β’ Translate loosely defined problems into clear technical solutions
β’ Make pragmatic tradeoffs and clearly communicate decisions
β’ Execute quickly while maintaining a high quality bar
What Weβre Looking For
Technical Background
β’ Strong experience in data engineering, including:
β’ Building and maintaining pipelines
β’ Experience with Spark or similar distributed systems
β’ Proficiency in Python, SQL, and modern data platforms
β’ Experience operationalizing data systems and/or models in production
β’ Exposure to AI/ML systems, including:
β’ Working with or integrating LLMs or modern AI tools
β’ Understanding of probabilistic systems and LLM fundamentals
β’ Using AI tools to accelerate development and problem solving
β’ Solid statistical intuition:
β’ Ability to reason about data quality, anomalies, and outputs
How You Think
β’ Product-oriented: Focused on outcomes, not tasks
β’ Critical thinker: Naturally validates outputs and assumptions
β’ Pragmatic: Leverages existing tools vs. over-engineering
β’ Adaptable: Comfortable in a fast-moving AI environment
Collaboration & Communication
β’ Clear, proactive communicator with strong follow-through
β’ Able to explain how and why you approach problems
β’ Comfortable working cross-functionally with product, engineering, and data teams.
Thanks & Regards
Shyam (SAM)
Recruiters
Email: sam.s@navasoftware.com
Title: AI Data Engineer
Client: Innova solutions//Oncolens
Location: Remote
What Youβll Do
Build & Own Data Systems
β’ Design and maintain scalable data pipelines (batch and real-time)
β’ Ensure data quality, consistency, and reliability across systems
β’ Eliminate βgray areasβ between upstream and downstream data
Ship AI-Driven Features
β’ Partner with product and engineering to deliver AI-enabled functionality
β’ Deploy, monitor, and troubleshoot LLM-based and ML systems in production
β’ Focus on shipping reliable outputs, not just experimentation
Operationalize & Validate
β’ Productionize models and workflows into robust, maintainable systems
β’ Build validation frameworks and sanity checks for output quality
β’ Improve observability, performance, and system reliability
Work Through Ambiguity
β’ Translate loosely defined problems into clear technical solutions
β’ Make pragmatic tradeoffs and clearly communicate decisions
β’ Execute quickly while maintaining a high quality bar
What Weβre Looking For
Technical Background
β’ Strong experience in data engineering, including:
β’ Building and maintaining pipelines
β’ Experience with Spark or similar distributed systems
β’ Proficiency in Python, SQL, and modern data platforms
β’ Experience operationalizing data systems and/or models in production
β’ Exposure to AI/ML systems, including:
β’ Working with or integrating LLMs or modern AI tools
β’ Understanding of probabilistic systems and LLM fundamentals
β’ Using AI tools to accelerate development and problem solving
β’ Solid statistical intuition:
β’ Ability to reason about data quality, anomalies, and outputs
How You Think
β’ Product-oriented: Focused on outcomes, not tasks
β’ Critical thinker: Naturally validates outputs and assumptions
β’ Pragmatic: Leverages existing tools vs. over-engineering
β’ Adaptable: Comfortable in a fast-moving AI environment
Collaboration & Communication
β’ Clear, proactive communicator with strong follow-through
β’ Able to explain how and why you approach problems
β’ Comfortable working cross-functionally with product, engineering, and data teams.
Thanks & Regards
Shyam (SAM)
Recruiters
Email: sam.s@navasoftware.com






