IT Integration Engineer – Business Systems
Listed on 2026-06-24
-
Software Development
Backend Developer
Job Description
COMPANY:
Strava
TITLE:
IT Integration Engineer – Business Systems
TEAM: IT / Strava for Business – Financial Systems Team
BILL RATE: ~$125/hr (flexible - providing market analysis!)
PAY RATE: $65- 70/ hr (flexible)
LOCATION:
Remote (preferred: Near a Hub: San Francisco, CA | New York, NY | Denver, CO)
SCHEDULE:
40 hours/week
- Early EST hours (7:00am EST to communicate with the London team!)
DURATION: 12 Month Contract (strong extension potential; contract‑to‑hire possible but will need to be hybrid 3 days a week if converted!)
INTERVIEW PROCESS: 2 Virtual Rounds
Interview Times- Resume Review Monday at 1:00 PM PST
- Interview times next week!
Insight Global is seeking a IT Integration Engineer – Business Systems. This role will design, implement, and maintain integrations across the company's core enterprise and financial platforms, including ERP, CRM, contract management, procurement, and analytics systems.
A primary focus of this role is data centralization and data democratization—building scalable integrations that land data into Snowflake as a single source of truth, enabling automation, operational efficiency, self‑serve analytics, and ML‑powered forecasting across the business. This engineer will partner closely with IT, Finance, Revenue, Legal, Sales, and Data teams to deliver robust, compliant, and highly maintainable integration solutions.
This is a hands‑on role supporting mission‑critical Quote‑to‑Cash (Q2C) workflows and revenue systems in a fast‑paced, high‑growth environment.
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances.
If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy:
- 3 - 8 years of experience in Integration Engineering, Business Systems Engineering, or IT Systems Engineering within fast‑paced or high‑growth environments
- Strong expertise integrating SaaS and enterprise platforms, including ERP, CRM, contract management, and procurement systems
- Deep understanding of Quote‑to‑Cash (Q2C) processes, financial workflows, contracts, billing, pricing, and revenue reporting
- Experience with XML and JSON, including schema design (XSD, JSON Schema), validation, transformation, and parsing
- Strong knowledge of integration architectures, SOA principles, and RESTful API best practices
- Hands‑on experience implementing SOAP and RESTful web services, including authentication and data mapping
- Experience using enterprise integration platforms such as Tray.io, Fivetran, Workato, Mulesoft, or Boomi
- Strong experience working with cloud data warehouses (Snowflake, Big Query, or equivalent), including historicized data pipelines and CDC concepts
- Proven ability to translate business requirements into scalable technical solutions
- Excellent written and verbal communication skills, including the ability to communicate technical concepts to Finance and business leadership
- Strong documentation discipline with an emphasis on maintainability and handoff readiness
- Comfortable working in a Mac‑only environment (no Windows)
- Architect, build, and maintain integrations across Hub Spot, Net Suite, Spot Draft, Zip, Asana, and other core systems
- Design and implement data pipelines that land clean, historicized data into Snowflake as a single source of truth
- Build cross‑system…
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