Latest AI JobsBrowse Jobs
Rogo logo

Data Engineer: Analytics

RogoNew York CityEngineering
Apply on company site
Salary
$150K - $230K USD
Job type
Full-time
Posted
25 Jun 2026
Status
Open · checked 7d ago

About this role

Rogo is seeking a full-time Data Engineer: Analytics to join the engineering team in New York City. This hands-on role suits an experienced professional with a background in data engineering who wants to build scalable analytics infrastructure at an AI-native organization.

Role Overview

Analytics at Rogo defines key metrics, runs the supporting pipelines, and turns data into product decisions. This is a hands-on, high-leverage position focusing on reliability, orchestration, and pipelines. The candidate will take full ownership of the analytics infrastructure to ensure it scales alongside the company. Because internal analytics work often transforms into customer-facing features, this role also functions similarly to a product position. The right candidate will gain deep product knowledge, acting as both a user and a builder of the system.

Key Responsibilities

Own analytics infrastructure completely, covering ETL pipelines, Snowflake, dbt models, orchestration, and overall reliability.
Design and execute the evaluation and testing layer for agentic analytics surfaces, including internal agents and customer-facing analytics for enterprise admins.
Take ownership of core key performance indicators, handling definitions, production pipelines, and documentation to ensure clarity.
Develop deep product understanding alongside other engineers and sales team members at Rogo.
Partner with product and engineering teams to transition internal analytics work into customer-facing features.
Own a specific domain of analytics work as the foundational infrastructure solidifies.

Requirements

At least 5 years of professional experience in analytics engineering, data engineering, or a related role, backed by a proven track record of owning production data systems.
Deep SQL proficiency paired with fluency in a modern cloud data warehouse, with Snowflake preferred.
Hands-on experience with dbt, including models, tests, macros, incremental strategies, and structured transformation layers.
Strong Python skills for pipeline and transformation work, alongside comfort using modern ETL tooling and orchestration.
Clear perspective on maintaining fast refresh cadences amid growing event volumes through partitioning strategies, incremental model design, and storage tiering.
Genuine fluency with AI products, including practical use of agentic tools and an understanding of retrieval, tool calls, model turns, and cost management.
Genuine curiosity about the business, with a commitment to understanding the meaning behind the numbers rather than just ensuring jobs run.
Comfort operating autonomously across multiple stakeholders and domains.

Nice to Have

Growth-stage company experience or familiarity with future data scale at Rogo.
Experience building evaluations or test harnesses for LLM-powered systems.
Experience working with single-tenant and multi-tenant customer architectures.
Familiarity with usage-based billing data models like Metronome or tools like Salesforce and Intercom.
Experience handling third-party B2B or financial data vendors such as FactSet, LSEG, Crunchbase, Apollo, or ZoomInfo.
Background in enterprise SaaS, financial services, or vertical AI.

Skills and Tools

Python
SQL
LLM
Snowflake
dbt
ETL tools and orchestration

Salary and Benefits

Annual Salary: $150,000 - $230,000 USD

About the Company

Rogo's mission centers on transforming global finance by providing investment banks, private equity funds, and top investment firms with AI that offers speed, accuracy, and insight. The company features a rapidly growing global client base, proven product-market fit, backing from world-class investors, and a sharp, motivated team focused on redefining financial workflows.

How to Apply

Interested candidates should visit the official Rogo careers page on rogo.ai to submit an application for this position.

Skills and tech stack

PythonSQLLLMSnowflakedbt

Questions candidates ask

What is the salary range for the Data Engineer: Analytics role?

The annual salary for this position ranges from $150,000 to $230,000 USD.

Where is the job located?

The role is based in New York City, New York, and is a full-time, non-remote position.

How many years of experience are required?

Candidates must have 5+ years of professional experience in data engineering, analytics engineering, or a closely related role.

What technical skills are required for this role?

Required technical skills include deep SQL proficiency, hands-on dbt experience, strong Python skills for pipeline work, and fluency in a modern cloud data warehouse like Snowflake.

Is this a remote position?

No, this role is located in New York City and is not remote.

How do I apply for the Data Engineer position at Rogo?

You can apply by visiting the official Rogo careers website at rogo.ai.

Ready to apply?

The application is on the official Rogo careers page.

Apply on company site