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HomeCompaniesAdyenSenior Data Engineer

Senior Data Engineer

Adyen · San Francisco · Remote · Active · $198,000–$293,000 / year · Greenhouse

Job facts

FieldValue
CompanyAdyen
TitleSenior Data Engineer
Normalized title-
Department / teamData Analytics
LocationSan Francisco, CA, United States
Work modelRemote / Remote
Employment type-
Salary$198,000–$293,000 / year
Statusactive
ATS providerGreenhouse
Posted / first seen2026-06-03 / 2026-06-04
Changed / last seen2026-06-04 / 2026-06-04

Related slices

PageWhat it containsOpen
Company jobsActive postings from Adyen.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Greenhouse.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in San Francisco.Open
Department jobsActive postings in Data Analytics.Open
Work model jobsActive Remote postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyAdyen
Sourcef6b631c5-1fa7-4482-8f72-c974bd7262ec
ATS providerGreenhouse

Description

This is Adyen Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition. For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster. Senior Data Engineer, Developer Experience We are seeking a high-impact Senior Data Engineer to join our Developer Experience (DevX) team in San Francisco. In this role, you will be the technical engine behind ensuring our merchants and partners experience a world-class platform integration. You are instrumental in building the scalable framework and high-reliability data sources that power intelligent insights, ensuring that integrating with our technology is not just easy, but a genuinely superior experience. You will live and breathe the technical framework that allows us to scale integration intelligence across our business partners. By architecturing the framework and pipelines that surface proactive suggestions and collaborating with core development teams to maintain well-structured data sources, you will ensure our customer-facing products deliver reliable recommendations at scale. Ultimately, you will turn complex data into simple and understandable suggestions that make our technology intuitive and powerful for the developers who build on it. What you’ll do Collaborative solution development : Engage with a diverse range of stakeholders, including data scientists, analysts, software engineers, product managers, and customers, to understand their requirements and craft effective solutions. Quality pipelines and architecture : Design, develop, deploy and operate high-quality production ELT pipelines and data architectures. Integrate data from various sources and formats, ensuring compatibility, consistency, and reliability. Data best practices : Help establish and share best practices in performance, code quality, data validation, data governance, and discoverability in your team and in other teams. Participate in mentoring and knowledge sharing initiatives. High quality data and code: Ensure data is accurate, complete, reliable, relevant, and timely. Implement testing, monitoring and validation protocols for your code and data, leveraging tools such as Pytest. Performance optimization : Identify and resolve performance bottlenecks in data pipelines and systems. Improve query performance and resource utilization to meet SLAs and performance requirements, using technologies Spark optimizations. Who you are A Senior Data Engineer with 6+ years of experience , ideally in a fast-paced, product-focused setting, comfortable operating with significant autonomy. Technically proficient: Skilled in Data Engineering tools and languages such as Python, PySpark, Airflow, Hadoop, Spark, Kafka, SQL, Git . Strategic executor: You excel at breaking down complex problems, prioritizing effectively, leading impactful projects, and aligning your work with strategic goals. Effective communicator: An excellent communicator in English who can deal with ambiguity, collaborate with diverse stakeholders, and translate complex insights for both technical and non-technical audiences in a global team. Curious and scalable mindset: You possess a curious mindset, with a continuous drive to iterate, improve, and find better, scalable solutions. Data culture champion: Skilled in promoting a data-centric culture within technical teams and advocating for setting standards and continuous improvement. This role's annual base salary range is $198,000–$293,000 , plus RSUs. To learn more about our compensation philosophy, please click here . Our Diversity, Equity and Inclusion commitments Our unique approach is a product of our diverse perspectives. This diversity of backgrounds and cultures is essential in helping us maintain our momentum. Our business and technical challenges are unique, and we need as many different voices as possible to join us in solving them - voices like yours. No matter who you are or where you’re from, we welcome you to be your true self at Adyen. Studies show that women and members of underrepresented communities apply for jobs only if they meet 100% of the qualifications. Does this sound like you? If so, Adyen encourages you to reconsider and apply. We look forward to your application! What’s next? Ensuring a smooth and enjoyable candidate experience is critical for us. We aim to get back to you regarding your application within 5 business days. Our interview process tends to take about 4 weeks to complete, but may fluctuate depending on the role. Learn more about our hiring process here . Don’t be afraid to let us know if you need more flexibility. Adyen is an equal opportunity employer. We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status or any legally protected status. All your information will be kept confidential according to EEO guidelines. San Francisco Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. This role is based out of our San Francisco office. We are an office-first company and value in-person collaboration; we do not offer remote-only roles.

Full job record

Job ID186c18fc8606399adbd53114a3c61db5960a95e2
Org IDfecd9ed5-43ba-482d-b077-bb21b7500b2a
Source IDf6b631c5-1fa7-4482-8f72-c974bd7262ec
Board IDf6b631c5-1fa7-4482-8f72-c974bd7262ec
Providergreenhouse
Provider Job Key7806510
TitleSenior Data Engineer
Normalized Title
Statusactive
Activeyes
Location TextSan Francisco
DepartmentData Analytics
Team
Employment Type
Workplace Typeremote
Remote Policyremote
CountryUnited States
RegionCA
CitySan Francisco
Salary Rawsalary range is $198,000–$293,000 , plus RSUs
Salary Min198,000
Salary Max293,000
Salary CurrencyUSD
Salary Periodyear
Source URLhttps://job-boards.greenhouse.io/adyen/jobs/7806510
Apply URLhttps://job-boards.greenhouse.io/adyen/jobs/7806510
First Seen At2026-06-04 11:16:34Z
Last Seen At2026-06-04 11:16:34Z
Last Checked At2026-06-04 11:16:34Z
Last Changed At2026-06-04 11:16:34Z
Inactive At
Source Posted At2026-06-03 20:53:07Z
Source Updated At2026-06-03 20:53:07Z
Raw Payload Uris3://bluework-jobs-prod-raw-590183727216/raw/provider=greenhouse/board=adyen/date=2026-06-04/2026-06-04T11-16-33-808Z-2e309cba2c48c00745570ee22bc50255f7f6279e8d8eedf098c888578227ee6e.json
Event Fields
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}
Parsed Structured
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  "remote_policy": "remote",
  "salary_period": "year",
  "workplace_type": "remote",
  "salary_currency": "USD"
}
Extensions
{}
Native Structured
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  "company_name": "Adyen",
  "requisition_id": 3410243,
  "first_published": "2026-06-03T16:53:07-04:00",
  "application_deadline": null
}
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