Founding Data Engineer

Talent; New York (NY); On-site; USD 180,000 - 260,000; Full time

Job summary

Talent is seeking a Founding Data Analytics Engineer to help build the data foundation behind a market-leading analytics platform used by investment firms. Transform complex financial datasets into clean, structured data powering customer analytics and insights.

You will work with software engineers to improve data quality, automate workflows, and shape data modeling and delivery, with high ownership in a fast-growing fintech startup.

Qualifications

• 8+ years of experience in data engineering or analytics engineering.
• Strong SQL and Python skills.
• Advanced Excel experience.
• Experience building data pipelines, validation frameworks, and automation.

Responsibilities

• Transform complex spreadsheets and financial data into structured, high-quality datasets.
• Build SQL and Python workflows to validate, clean, and automate data processing.
• Partner closely with engineering to improve data models and product functionality.
• Develop automated quality checks and analytical tooling to ensure data accuracy.
• Help scale the company's core data platform through process improvements and AI-powered automation.

Skills

SQL

Python

Excel

Data pipelines

Automation

Data quality

Startup experience

Attention to detail

Job description

A fast-growing fintech data company is hiring a Founding Data Analytics Engineer to help build the data foundation behind a market-leading analytics platform used by leading investment firms.

This is a highly technical, hands-on role where you'll transform complex financial datasets into clean, structured, product-ready data that powers customer-facing analytics. You'll work closely with software engineers to improve data quality, automate workflows, and shape how data is modeled and delivered.

What You'll Do

• Transform complex spreadsheets and financial data into structured, high-quality datasets
• Build SQL and Python workflows to validate, clean, and automate data processing
• Partner closely with engineering to improve data models and product functionality
• Develop automated quality checks and analytical tooling to ensure data accuracy
• Help scale the company's core data platform through process improvements and AI-powered automation

What They’re Looking For

• 8+ years of experience in data engineering, analytics engineering, or a similar technical role
• Strong SQL and Python skills
• Advanced Excel experience
• Experience building data pipelines, validation frameworks, and automation
• Comfortable working in a fast-paced startup environment with significant ownership
• Strong attention to detail and passion for data quality

Nice to Have

• Experience with financial data, equity structures, or fintech
• Familiarity with LLMs or AI-assisted development tools
• Experience working closely with software engineering teams

Why Join?

• Build products that customers use every day- not internal reports
• High-impact role with significant ownership and visibility
• Work alongside an experienced engineering team at a rapidly growing technology company