Data Engineer II

The client is a fintech company seeking a Data Engineer II. The role partners with data science, source data owners, and data engineering teams to define requirements, design trusted analytical data solutions, build validated proofs of concept, and advance data quality, observability, data contracts, and AI-enabled workflows.

Responsibilities

Partner with data science stakeholders to understand the business problem behind a key result, and determine the data needed to answer it

Translate that into clear requirements and specifications data engineering can build from, and maintain a well-specified backlog

Design schemas, tables, and data solutions that meet our standards for trusted, well-documented data

Build proofs of concept, from design documents through to notebooks validated against real data, judging how much prototyping each decision warrants

Partner with source data owners, and with data engineering through build and UAT

Advance trusted data foundations — observability, schema monitoring, quality rules, data contracts — and build AI skills and agents that accelerate the team

Preferred

Git and Python a plus

Experience establishing data quality, observability, or data contract practices

Experience building AI skills, agents, or workflow automation

Python proficiency

Git

Python

Data Quality Practices

Data Observability

Data Contracts

AI Skill Development

AI Agent Development

Workflow Automation

Benefits

100% Remote (PST hours)

For workers in the United States, eligible employees are offered comprehensive healthcare coverage, including medical, dental, and vision plans.

Supplemental coverage, including accident insurance, critical illness insurance, and hospital indemnity.

401(k) retirement savings.

Life and disability insurance.

Employee assistance program.

Legal support.

Pet insurance.

Employee discounts with preferred vendors.

Company

Specialized staffing and recruitment advisory firm

New York, New York, USA

http://russelltobin.com/

Founded in 2010

201-500 employees

Qualifications

4-8 years in analytics engineering, data engineering, or an adjacent data role

Demonstrated ability to turn an under-specified request into a clear, buildable requirement

Experience designing data models and schemas for analytical use

Hands-on Databricks and advanced SQL, able to profile unfamiliar tables and validate grain and joins independently

Fluency using AI tools for research and building, and strong cross-team partnerships

Git and Python a plus

Experience establishing data quality, observability, or data contract practices

Experience building AI skills, agents, or workflow automation

Python proficiency

Required skills

Databricks, Advanced SQL, Python, Git, Data Modeling, Database Schema Design, Data Quality, Data Observability, Data Contracts, AI Agents

Preferred skills

Git and Python a plus, Python proficiency

Experience

4+ years