Data Integrations Engineer - Build Robust Merchant Data Flows

WeHireYou; New York (NY); Hybrid; USD 125,000 - 139,000; Full time

Benefits offered by this job

Health insurance

Stock-based awards

401(k) + matching

Commuter benefits

Lunch & learns / Udemy access

Job summary

Riskified is seeking a Data Integrations Engineer to ensure accurate and complete client data for feeding data science models. You will tailor data integrations for a variety of merchant data platforms and collaborate with analysts, data science, and product teams to address data concerns for large ecommerce clients.

The role emphasizes building data templates, writing data validation scripts, and maintaining data pipelines.

Qualifications

• 4+ years in a data-centric industry role (Analytics, Data Engineering, ETL, DBA, etc.).
• Solid expertise with SQL or NoSQL databases.
• Experience with data wrangling (Python, R).
• Experience optimizing technical processes.
• Strong analytical skills and attention to detail.
• Strong verbal and written communication skills.
• Advantage: designing/maintaining data pipelines using DBT or Python.

Responsibilities

• Maintain/manage merchant data configuration layer of Riskified's platform (automated data tagging, transformation, filtering).
• Combine technical, business, and analytical objectives to tailor onboarding for merchants.
• Perform due diligence on merchant websites, business models, and data flows.
• Generate tailored data templates (JSON, CSV) to guide merchant developers/data teams for integrations.
• Write queries and scripts in Python, SQL, Spark, Databricks, or R to test and validate data in API/sandbox/production.
• Transform and upload large historical data files to Riskified APIs.
• Ad hoc data wrangling and sanitization.
• Monitor automated data alerts; communicate data issues to stakeholders.

Skills

SQL/NoSQL

Data wrangling

Python

R

ETL

DBT

Communication

Job description

Riskified is seeking a Data Integrations Engineer to ensure accurate and complete client data for feeding data science models. You will tailor data integrations for a variety of merchant data platforms and collaborate with analysts, data science, and product teams to address data concerns for large ecommerce clients.

The role emphasizes building data templates, writing data validation scripts, and maintaining data pipelines.