Lead Integration/Solutions Engineer

QUORE IT : Talent Sourcing & Recruitment; United States; Remote; USD 155,000 - 170,000; Full time

Job summary

QUORE IT : Talent Sourcing & Recruitment seeks a Lead Integrations Engineer to own enterprise data integrations for top chemical industry clients. The role blends data engineering with solutions engineering, from scoping to go-live, and requires direct customer engagement.

You will build connectors, coordinate with customer IT teams, and guide data mapping while utilizing Databricks and a standardized integration harness. Remote work within US time zones is offered with quarterly travel.

Qualifications

• 5 - 15 years of experience leading cross-functional data/integration projects end-to-end.
• Hands-on experience with ETL and data pipelines.
• Proficiency with Python or Node.js, RESTful and event-driven architectures, and AWS.

Responsibilities

• Own integration projects from start to finish (typically around 6 months).
• Build connectors to sync customer data into client systems (e.g., SAP raw-material lot numbers).
• Guide customers on data mapping and transformation and best practices for data placement in the client.
• Scope work carefully and review engineering output, including AI-assisted code.
• Act as technical point of contact with weekly syncs and quarterly customer visits.

Skills

Python

Node.js

RESTful APIs

Event-driven architectures

AWS

ETL / Data Pipelines

Customer-facing experience

Databricks

Tools

Databricks

Airflow

SAP

Job description

Comp range: Base up to $185K plus competitive equity

Work Authorization: U.S. citizens or Green Card holders

Interview Process: 4 rounds!

Openings: 2

Why you should join

• Client builds OS, the first AI-native operating system for chemists. Scientists in 30+ countries use it to speed up materials and chemicals R&D.
• Backed by Coatue, TCV, Index Ventures, and JPMorgan, with $50M raised since 2021. You'll join right as clients are becoming the go-to daily platform for the world's top chemical companies.
• Lead Integrations Engineer role with $155k–$170k base plus stock options. It's fully remote in US time zones (East Coast's a plus) with customer travel about once a quarter.

Must Have:

• Customer-facing experience leading technical projects end-to-end involving APIs, data synchronization, or system orchestration (scoping through go-live)
• Hands-on experience with ETL and data pipelines

Required:

• 5 - 15 years of experience as a software engineer, integrations engineer, data engineer, or solutions engineer who owned/scoped data or integration projects end-to-end (vs. answering tickets)
• Expertise in Python or Node. js, RESTful and event-driven architectures, and AWS
• Willingness to travel for customer visits (approximately once per quarter)

Nice to Have:

• Experience at a startup or in the chemical, materials, or life sciences industries (Citrine, Uncountable, Dow, 3M)
• Databricks experience or certification

Red Flags:

Data engineers accustomed only to ticket-taking without end-to-end ownership

What we're looking for:

We are looking for a Lead Integrations Engineer with 5+ years of experience to own enterprise data integrations and migrations from start to finish for the world's top chemical companies. The client is becoming the main platform chemists use every day, and customers increasingly need the client to connect with their other systems. This is a post-sales role that combines data engineering and solutions engineering. You'll take a signed SOW, do the final scoping, and deliver it. We want an engineer with strong ETL and data pipeline skills who has worked directly with customers and is comfortable owning a project from scoping to go-live, rather than waiting for tickets.

What will you be doing?

• Own integration projects from start to finish (typically around 6 months, and we're working to shorten that). You'll build connectors that sync key customer data into client systems, such as SAP raw-material lot numbers, so chemists know what materials they have and where they are.
• Work with customer IT teams to get systems talking to each other (for example, IP whitelisting), and with subject matter experts to define data mapping and transformation. You'll guide customers on best practices for where their data should live in the client.
• Build customer-specific connectors on the client's standardized integration harness, using strong ETL and pipeline practices. We're moving toward Databricks.
• Scope work carefully and use AI coding agents and teammates for the bulk of the build. You need enough engineering judgment to review and question their output.
• Act as the technical point of contact for customers: roughly weekly syncs when a project kicks off, more often near launch, async updates in between, and customer visits about once a quarter. An engagement manager supports the relationship.

Python, Node.js, ETL / Data Pipelines, Databricks, Airflow, AWS, ECS, DynamoDB, KMS, Lambda, EventBridge, RESTful APIs, Event-driven architecture, Microservices, SAP, OAuth2, SAML, JWT, SSO, AI coding agents