Senior Data Engineer - Adyen

Ayden

Quick summary

Work type: On-site
Location: IL · San Francisco, CA
Salary: $198,000–$293,000 / yr
Posted: today

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $176k

This role $246k

$118k most similar roles pay here $312k

This role pays more than 88% of similar roles. Most pay $137,550–$213,868 — the shaded band above. At the midpoint, this role pays about $246k versus about $176k for comparable roles.

Based on 240 similar postings.

Employer

About Ayden

Adyen is a global payments platform that provides end-to-end payment processing, merchant acquiring, and issuing solutions to large global companies, enabling them to accept payments anywhere in the world. Industry: Payments Technology & Financial Services

Ayden currently has 107 open roles on FindRole.

Listed pay typically runs $180,000–$243,000 across 42 roles with salary data.

Most-posted roles

View all roles at Ayden

At a glance

TL;DR · Senior Data Engineer - Adyen

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As a Senior Data Engineer on the Developer Experience team at Adyen in San Francisco, you will play a pivotal role in building and maintaining scalable data frameworks that provide intelligent insights for our merchants and partners. Your day-to-day responsibilities include collaborating with cross-functional teams to design high-quality ELT pipelines and architectures, ensuring data accuracy and reliability through rigorous testing and validation protocols. You will also champion best practices in performance optimization and data governance while mentoring team members on technical excellence. Ideal candidates have 6+ years of experience in a fast-paced product-focused environment and are proficient in Python, PySpark, Airflow, Hadoop, Spark, Kafka, SQL, and Git. This role requires strategic thinking, effective communication skills, and the ability to foster a data-centric culture within the organization.

Skills

Python PySpark Airflow Hadoop Spark Kafka SQL Git CI/CD AWS Google Cloud Platform Docker Terraform PostgreSQL Mentoring Knowledge Sharing Performance Optimization SLAs Data Governance Discoverability Testing Monitoring Validation Pytest

What you'll do

Design and develop high-quality production ELT pipelines and data architectures.
Integrate diverse data sources to ensure compatibility, consistency, and reliability.
Implement testing, monitoring, and validation protocols for code and data quality.
Identify and resolve performance bottlenecks in data pipelines and systems.
Establish and share best practices in data governance and discoverability.

What we're looking for

6+ years of experience in data engineering, preferably in a product-focused environment.
Proficient in Python, PySpark, Airflow, Hadoop, Spark, Kafka, SQL, and Git.
Expertise in designing, developing, deploying, and operating high-quality production ELT pipelines.
Strong ability to establish and share best practices for performance, code quality, data validation, governance, and discoverability.
Skilled in identifying and resolving performance bottlenecks in data pipelines and systems.

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