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Machine Learning Data Engineer
HonorVet Technologies
🇺🇸 United States
On-site
Staff / Principal
11 months ago
- Machine Learning
- Informatica
- Snowflake
- SQL
- PostgreSQL
- MySQL
- Oracle
- Python
- AWS
- Azure
- GCP
- Azure Functions
- BigQuery
- Power Automate
11 months ago
Location: Hybrid 2 days/week in Dallas, TX or Boston, MA
Duration: 3+ month contract; Strong potential for extension
Only W2
Overview:
Our client in the commercial banking domain is hiring two Machine Learning Data Engineers to support a high-impact initiative within the Data Quality Team. One role will focus on solution architecture, requiring experience implementing a full machine learning framework. The second will be more of an Engineer/Business Analyst hybrid, supporting the lead architect and contributing to model development and automation efforts.

These roles are part of a strategic effort to automate the review of over 25,000 data quality rules currently being manually aggregated and analyzed. The goal is to build and implement a prototype ML model by year-end, so candidates must be available for a fast-paced delivery timeline (no extended time off planned in December).

Project Scope:
- Automate the rule review process currently handled manually using Informatica IDQ, with a transition toward Snowflake.
- Develop and deploy a Machine Learning model to analyze rule pass/fail outcomes.
- Improve efficiency by reducing manual resource dependency through intelligent automation.
Responsibilities:
- Follow the company's software development lifecycle to design, code, configure, test, debug, and document system and application programs.
- Prepare technical design specifications based on functional requirements and analysis documents.
- Participate in architecture, design, and code reviews.
- Collaborate with development staff to ensure quality and consistency.
- Develop and maintain operational and system-level documentation.
- Build and implement a prototype ML model with a quick turnaround.
- Support scalable API integrations between internal and external systems (nice to have).
Core Requirements:
- Strong command of SQL and experience with relational databases (e.g., PostgreSQL, MySQL, Oracle, Snowflake).
- Proficient in Python and/or R for data analysis and model development.
- Experience with ML/AI programming and modern machine learning standards.
- Hands-on experience with cloud platforms (AWS, Azure, GCP) and services like Lambda, S3, Azure Functions, BigQuery.
- Familiarity with automation frameworks (e.g., Power Automate, Python scripting).
- Understanding of data quality, management, and governance concepts.
- Experience with Web Application Server enhancements and infrastructure standards.
Preferred Qualifications (Nice-to-Haves):
- Experience with Informatica IDQ.
- Familiarity with Snowflake ML libraries or programming extensions.
- Background in designing and implementing scalable API integrations.
Soft Skills:
- Highly motivated, proactive, and collaborative team player.
- Able to work independently and meet tight deadlines.
- Strong communication and problem-solving skills.
Machine Learning Data Engineer · HonorVet Technologies