Data Engineer
Remote / Austin, TX / Grand Rapids, MI
Engineering /
Full-time /
Remote
Cybercrime is rising, reaching record highs in 2024. According to the FBI's IC3 report total losses exceeded $16 billion. With investment fraud and BEC scams at the forefront, the message is clear: the real estate sector remains a lucrative target for cybercriminals. At CertifID, we take this threat seriously and provide a secure platform that verifies the identities of parties involved in transactions, authenticates wire transfer instructions, and detects potential fraud attempts. Our technology is designed to mitigate risks and ensure that every transaction is conducted with confidence and peace of mind.
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.
At CertifID, we’re on a mission to protect life’s largest transactions from fraud. We help title companies, law firms, lenders, and consumers safeguard billions of dollars from wire fraud daily. As we scale, we’re building a team of growth-minded individuals passionate about protecting our customers and transforming the way sensitive data is secured.
We’re seeking a talented and driven Data Engineer to help us elevate our data platform. This is a high-impact role where you’ll contribute to the design and development of scalable data infrastructure, support data-driven decision-making, and play a key role in shaping the future of fraud prevention. You’ll work alongside experienced engineers and cross-functional teams in a fast-paced environment with plenty of growth opportunities.
What You’ll Do
- Build and maintain scalable, secure, and reliable data pipelines to support analytics, product insights, and machine learning initiatives.
- Contribute to data architecture decisions, balancing performance, reliability, and maintainability.
- Collaborate with product, engineering, and business stakeholders to deliver data solutions that drive strategic and operational impact.
- Promote data quality and governance by implementing best practices for validation, lineage tracking, and observability.
- Share knowledge and support the growth of peers through code reviews, documentation, and informal mentorship.
What We’re Looking For
- 5+ years of proven experience in data engineering, ideally in a fast-paced, product-focused environment.
- Solid understanding of cloud data platforms (e.g., Snowflake, BigQuery, Redshift) and orchestration tools (e.g., Airflow, dbt).
- Strong programming skills in Python or Scala, and proficiency in writing efficient SQL.
- Familiarity with real-time data processing frameworks (e.g., Kafka, Spark Streaming).
- Experience designing data models for analytics and machine learning use cases.
- A proactive mindset, a strong sense of ownership, and a passion for solving meaningful problems.
Preferred Qualifications
- 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.
Benefits
- 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
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.
