Data & Integration Engineer, Business Systems

The shape of it

In the posting’s own words

We’re looking for a Data & Integration Engineering who combines application integration expertise with hands-on data engineering experience. You’ll build workflows that move business processes forward and pipelines that make data accurate, accessible, and useful for operations, reconciliation, and reporting.

What it asks for · 5

• 5+ years of relevant engineering experience, including hands-on delivery of both enterprise integrations and production data pipelines
• Strong experience building and supporting API-led integrations, with an understanding of API design, authentication, asynchronous processing, retries, and idempotency
• Hands-on proficiency in query languages and programming for data transformation, pipeline development, and automation
• Experience with Snowflake or a comparable cloud data warehouse, including data modeling, incremental processing, and query optimization and integrating enterprise business applications across Finance, GTM, or People systems
• A track record of independently owning projects from requirements through production, including testing, monitoring, troubleshooting, and documentation, while collaborating with business stakeholders and engineering teams

Also a plus

• Experience with dbt, Airflow, or comparable transformation and orchestration tools, as well as change data capture, streaming pipelines, schema evolution, and historical backfills
• Familiarity with quote-to-cash, billing, accounting, or financial reconciliation processes
• Experience with Workday Studio, Salesforce Apex, or NetSuite SuiteScript
• Knowledge of AWS services such as S3, Lambda, and SQS
• A background in implementing or maintaining SOX/ITGC controls, as well as mentoring engineers and establishing shared engineering standards

What the job covers

• Design, build, and operate integrations across CRM, ERP, and HR systems using MuleSoft, APIs, and event-driven architectures
• Build and maintain batch and incremental data pipelines into Snowflake, using SQL and Python for transformations, validation, and automation
• Develop data models and datasets that support business operations, reconciliation, and reporting, partnering with Data Engineering on standards and ownership
• Work with business stakeholders and product managers to translate requirements into technical designs, delivery plans, and measurable acceptance criteria
• Support business-critical order-to-revenue workflows with reliable processing, clear ownership, and safe recovery from failures
• Implement automated testing, monitoring, alerting, and data quality checks to improve reliability and reduce manual intervention
• Apply security and SOX/ITGC-aligned development practices, including access controls, code reviews, CI/CD, and change management
• Lead design reviews, mentor engineers, and establish reusable components, documentation, and engineering practices

Tools and skills named

Words the posting leans on

• data15×
• engineering9×
• integrations8×
• design7×
• pipelines7×
• business6×
• experience6×
• build5×
• data pipelines4×
• hands-on4×
• development3×
• ownership3×
• processing3×
• production3×
• requirements3×
• snowflake3×

Counted from the posting after the mission statement and the legal notices are set aside. The ones near the top are the ones a screener is looking for.

More open at Figma

• Account Executive, EnterpriseSan Francisco, CA • New York, NY • United States
• Account Executive, Enterprise (Bengaluru, India)Bengaluru, India
• Account Executive, Enterprise (Berlin, Germany)Berlin, Germany
• Account Executive, Enterprise (London, United Kingdom)London, England
• Account Executive, Enterprise, Mandarin Speaking (Singapore)Singapore
• Account Executive, Enterprise (São Paulo, Brazil)São Paulo, Brazil