Data Engineer — Fraud Prevention & Data Platform

Painless; Austin (TX); On-site; USD 110,000 - 180,000; Full time

Benefits offered by this job

Competitive salaries

Excellent medical, dental and vision

401k with generous match

12 holidays, 10 sick days, birthday

Remote worker reimbursement

Professional development reimbursement

Job summary

CertifID is hiring a Data Engineer to design and maintain scalable data infrastructure for fraud prevention. You will work with cross-functional teams to enable data-driven decisions and build reliable data solutions.

Join a fast-paced environment with growth opportunities and strong emphasis on data quality, governance, and security. Experience with modern data tools and cloud platforms is preferred.

Qualifications

• 5+ years of experience in data engineering or analytics engineering.
• Experience supporting GTM or business functions in fast-paced settings.
• Ability to manage data integrations across Salesforce, HubSpot, Amplitude, Sigma, Clay and similar tools.
• Proficiency in Python and SQL; experience with a modern data stack.
• Familiarity with AWS or GCP, containerization, and CI/CD pipelines.
• Experience with data visualization tools and communicating with executives.

Responsibilities

• Design, implement, and maintain scalable ETL/ELT pipelines across systems.
• Own data warehouse architecture, including partitioning and access controls.
• Partner with stakeholders to define KPIs and translate requirements into data solutions.
• Champion data quality and governance with documentation.
• Own billing data infrastructure and backend warehouse tables.
• Build dashboards for executives, GTM, product, and finance.
• Share knowledge through code reviews and mentorship.

Skills

Python

SQL

ETL Pipelines

Data Warehouse

BigQuery

Airflow

Education

Bachelor's degree in CS/IS

Tools

Salesforce

HubSpot

Amplitude

Sigma

dbt

Fivetran

Airflow

Looker

Tableau

AWS

GCP

Docker

Kubernetes

Job description

CertifID is hiring a Data Engineer to design and maintain scalable data infrastructure for fraud prevention. You will work with cross-functional teams to enable data-driven decisions and build reliable data solutions.

Join a fast-paced environment with growth opportunities and strong emphasis on data quality, governance, and security. Experience with modern data tools and cloud platforms is preferred.