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About
We know we couldn't take on this challenge without our incredible team. We have been recognized as one of the Best Startups to Work for in Austin, made the Inc. 5000 list, and won Best Culture by Purpose Jobs two years in a row. We are guided by our core values and our vision of a world without wire fraud. We offer a dynamic work environment where you can contribute to meaningful impact and be part of a team dedicated to enhancing security and fighting fraud.
We're seeking an exceptional Staff Data Engineer to help us take our data platform to the next level. This is a high-impact role where you'll architect and build scalable data infrastructure, empower data-driven decision-making, and help shape the future of fraud prevention. We're scaling fast, and you'll have the chance to shape the future of our data platform.
You will collaborate with data scientists, engineers, and business stakeholders to ensure high-quality, actionable data insights to enable business outcomes.
What You Will Do
Design and build
robust, scalable, secure data pipelines and infrastructure to support analytics, product intelligence, and machine learning. Lead data architecture decisions , ensuring high performance, reliability, and maintainability across our platform. Collaborate cross-functionally
with product, engineering, and business teams to deliver data solutions that drive strategic insights and operational excellence. Champion data quality and governance , implementing best practices for data validation, lineage, and observability. Mentor and guide
other data engineers, fostering a culture of technical excellence and continuous learning. >
What We're Looking For
Proven experience as a
staff-level data engineer
in a fast-paced, product-driven environment. Engineering experience of 8+ years. Experience in
leading teams
of other engineers to build a long-term technical vision and plans to achieve it. Deep expertise in
cloud data platforms
(e.g., Snowflake, BigQuery, Redshift) and orchestration tools (e.g., Airflow, dbt).Strong programming skills in
Python or Scala , and proficiency with SQL. Experience with
real-time data processing
(e.g., Kafka, Spark Streaming) and
data modeling
for analytics and ML. A growth mindset, strong ownership, and a passion for solving complex problems that matter. Preferred Experience
Experience in
fintech, cybersecurity, or fraud prevention . Familiarity with
data privacy regulations
(e.g., SOC 2, GDPR, CCPA). Contributions to open-source data tools or communities. What We Offer
Flexible vacation 12 company-paid holidays 10 paid sick days No work on your birthday Health, dental, and vision Insurance (including a $0 option) 401(k) with matching, and no waiting period Equity Life insurance Generous parental paid leave Wellness reimbursement of $300/year Remote worker reimbursement of $300/year Professional development reimbursement Competitive pay An award-winning culture >
Not sure if you check all the boxes? Apply anyway!
We know that great talent comes in many forms, and we value potential just as much as experience. If you're excited about this role and believe you can grow into it, we'd love to hear from you. We're looking for people who are eager to learn, adapt, and solve challenges-so if that sounds like you, don't let a checklist hold you back!
Change doesn't happen overnight, and the same goes for us here at CertifID. We PROGRESS collectively and individually as we grow, abiding by our core values. Protect the Customer, Raise the Bar, Operate with Urgency, Grow with Grit, Ride the Wave, Enthusiasm Spreads, Stay Connected, Send It.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Languages
- English
Notice for Users
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