Data Integration Engineer — Hybrid/Remote, Equity

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

Benefits offered by this job

Hybrid remote NYC

Medical, dental, vision

Equity for all

401(k) + matching

Free lunch & snacks

Wellness classes

Udemy access

Team events

Job summary

Riskified is seeking a Data Integration Engineer to ensure accurate client data for our data science models. You’ll work on onboarding merchants, harmonizing data, and building scalable pipelines across diverse platforms.

You will analyze data quality, implement templates, and collaborate with data science and product teams to support risk analytics. The role requires 4+ years in data-centric roles, strong SQL/NoSQL skills, and experience with Python or R.

Qualifications

• 4+ years in a data-centric 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 & communication skills.
• Advantage: DBT, Python in data pipelines.

Responsibilities

• Maintain/manage merchant data configuration layer of Riskified's platform (tagging, transformation, filtering).
• Create tailored onboarding data solutions by combining technical and business objectives.
• Perform due diligence on merchant websites, models, and data flows.
• Generate data templates (JSON, CSV) to guide merchant teams in API/file integrations.
• Write queries/scripts (Python, SQL, Spark, Databricks, R) to test, validate, and detect data issues.
• Transform and upload large historical data files to Riskified APIs.
• Monitor data alerts and communicate issues to stakeholders.
• Collaborate with analysts, data science, and product teams on data changes.
• Identify system-wide data issue solutions.

Skills

Data engineering

ETL

SQL

Python

Data analysis

Communication

Tools

Python

SQL

Spark

Databricks

R

Job description

Riskified is seeking a Data Integration Engineer to ensure accurate client data for our data science models. You’ll work on onboarding merchants, harmonizing data, and building scalable pipelines across diverse platforms.

You will analyze data quality, implement templates, and collaborate with data science and product teams to support risk analytics. The role requires 4+ years in data-centric roles, strong SQL/NoSQL skills, and experience with Python or R.