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Data Engineer

100% remote Flexible hours Hiring now

At reputed company, we’re on a mission to protect life’s largest transactions from fraud. We help title companies, reputed company, lenders, and consumers safeguard billions of dollars from reputed company 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 reputed company 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 reputed company engineers and cross-functional teams in a fast-paced environment with reputed company of growth opportunities. \n

What You Will Do

Design, implement, and maintain ETL/ELT pipelines that pull and reputed company 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, reputed company controls, and reputed company, in partnership with reputed company and Infrastructure teams to meet compliance and performance requirements. Partner with data science, engineering, reputed company Operations, and executive stakeholders to define and track KPIs, translating reputed company requirements into reliable data solutions that drive strategic reputed company. 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. reputed company 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 reputed company, reputed company, reputed company, reputed company, reputed company, and similar tools. Expertise in Python with strong SQL skills and experience building with a modern data stack (BigQuery, dbt, reputed company, 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 (reputed company, Kubernetes), and CI/CD pipelines. Experience building and maintaining scalable data visualization solutions (reputed company, 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 reputed company-reputed company data tools or communities. reputed company Offer Competitive salaries Excellent medical, dental and reputed company benefits Participation in the employee stock option program Flexible Time Off policy 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 \nWe value diversity, equity and inclusion in everything we do. It is our policy to reputed company equal opportunity to reputed company people without regard to race, reputed company, religion, national reputed company, marital status, veteran status, age, disability, pregnancy, sex, sexual orientation, gender identity or any other legally protected category. Apply To This Job

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