Data Engineer

Certifid, Inc; Austin (TX); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Competitive salary

Excellent health benefits

401k with company match

Paid holidays and time off

Remote work stipend

Job summary

CertifID is seeking a talented Data Engineer to elevate our data platform, contributing to design and development of scalable ETL/ELT pipelines, supporting data-driven decision-making, and shaping the future of fraud prevention in a fast-paced team.

You’ll own the data warehouse architecture, partner with data science, engineering, Revenue Ops and executives to define KPIs, champion data quality, build dashboards, and mentor peers while contributing to security, governance and a culture of

Qualifications

• 5+ years of data engineering or analytics engineering experience in fast-paced environments.
• Experience integrating data across Salesforce, HubSpot, Amplitude, Sigma, Clay, and similar tools.
• Strong Python and SQL skills with experience building modern data stacks (BigQuery, dbt, Fivetran, Airflow).
• Familiarity with credit or financial data and regulatory considerations.
• Experience with AWS or GCP, Docker, Kubernetes, and CI/CD pipelines.
• Experience building scalable data visualization solutions (Sigma, Looker, Tableau).
• Strong communication and stakeholder management with executives and non-technical teams.
• Ownership mindset and ability to work in ambiguity.

Responsibilities

• Design, implement, and maintain ETL/ELT pipelines pulling data from multiple systems.
• Own the data warehouse architecture, including partitioning, access controls, and security.
• Partner with data science, engineering, Revenue Operations, and exec stakeholders to define KPIs.
• Champion data quality and governance across the organization.
• Take ownership of billing data infrastructure, backend warehouse tables, and data models.
• Build dashboards and analytics for executives, GTM, product, and finance.
• Share knowledge through code reviews, documentation, and mentoring.

Skills

5+ years data engineering

Data integrations across platforms

Python & SQL

Communication & stakeholder mgmt

Ownership mindset

GTM/Business support

Tools

BigQuery

dbt

Fivetran

Airflow

Looker

Tableau

Sigma

Salesforce

HubSpot

Amplitude

AWS

GCP

Docker

Kubernetes

Job description

Cybercrime is rising, reaching record highs. According to the FBI's IC3 report total losses exceeded $16 billion. With investment fraud and BEC sams 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 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 are guided by core values and a world without wire fraud. Our team is committed to enhancing security and fighting fraud—where your work drives real, meaningful impact. We know we couldn’t take on this challenge without our incredible team and have been recognized as one of the Best Startups to Work in Austin, made the Inc. 5000 list, and won Best Culture by Purpose Jobs two years in a row.

Our core values define who we are and how we work:

• Guard The Customer: We exist to protect people, their money and their trust. We start with their problem and build secure solutions worthy of the responsibility.
• Raise The Bar: Growth is something we choose every day. We push ourselves to learn, improve, and do our best work.
• Influence Outcomes: Leadership is how you show up. We take ownership, act with urgency, and follow through.
• Teamwork Wins: Great work is a team effort. We show up for each other, communicate openly, and get better together.

About This Role

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 Will Do

• Design, implement, and maintain ETL/ELT pipelines that pull and merge data from multiple internal and external systems, ensuring clean, reliable, and scalable data flows across the organization.
• Own the data warehouse architecture, including partitioning strategy, access controls, and security, in partnership with Security and Infrastructure teams to meet compliance and performance requirements.
• Partner with data science, engineering, Revenue Operations, and executive stakeholders to define and track KPIs, translating complex requirements into reliable data solutions that drive strategic decisions.
• Champion data quality and governance, ensuring insights are consistent, trustworthy, and well-documented across the organization.
• Take full ownership of billing data infrastructure, including backend warehouse tables, data models, and ongoing maintenance.
• Build dashboards and analytics that deliver actionable insights for executive leadership, GTM, product, and finance teams.
• Share knowledge and support the growth of peers through code reviews, documentation, and informal mentorship.

What You Will Bring

• 5+ years of experience in data engineering or analytics engineering, ideally supporting GTM or business functions in a fast-paced environment.
• Proven ability to manage data integrations across platforms such as Salesforce, HubSpot, Amplitude, Sigma, Clay, and similar tools.
• Expertise in Python with strong SQL skills and experience building with a modern data stack (BigQuery, dbt, Fivetran, Airflow).
• Familiarity with credit or financial data and the regulatory considerations that come with handling sensitive information.
• Hands‑on experience with AWS or GCP, containerization (Docker, Kubernetes), and CI/CD pipelines.
• Experience building and maintaining scalable data visualization solutions (Sigma, Looker, Tableau).
• Strong communication and stakeholder management skills, with the ability to partner effectively with executives and non‑technical teams.
• A bias toward action, comfort working in ambiguity, and a strong sense of ownership — you find answers rather than wait for direction.

Bonus Points

• 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

• Competitive salaries
• Excellent medical, dental and vision benefits
• Participation in the employee stock option program
• Flexible Time Off policy
• 401k with generous company match and no vesting schedule
• 12 company‑paid holidays, 10 paid sick days and your birthday off!
• Company paid life insurance
• Company paid short and long‑term disability
• Generous parental paid leave
• Wellness reimbursement of $300/year
• Remote worker reimbursement of $300/year
• Professional development reimbursement

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—if that sounds like you, please apply!

We value diversity, equity and inclusion in everything we do. It is our policy to provide equal opportunity to all people without regard to race, color, religion, national origin, marital status, veteran status, age, disability, pregnancy, sex, sexual orientation, gender identity or any other legally protected category.