Senior Software Engineer, Data Platform

Salary: $140K - $160K Employment Type: Full-Time Location Type: Remote (United States / Canada)

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Who We Are

Sardine is a leader in fraud prevention and AML compliance. Our platform leverages device intelligence, behavior biometrics, machine learning, and AI to proactively stop fraud. Over 300 banks, retailers, and fintechs globally rely on Sardine to combat identity fraud, payment fraud, account takeovers, and social engineering scams. We have secured $145M in funding from prominent investors including Andreessen Horowitz, Activant, Visa, Experian, FIS, and Google Ventures.

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Our Culture

While we have hubs in the Bay Area, NYC, Austin, and Toronto, we operate with a remote-first work culture, embracing the #WorkFromAnywhere philosophy. We value talented, self-motivated individuals who demonstrate extreme ownership and a high growth orientation. Our focus is on performance, not hours worked, allowing flexibility for personal commitments like family events or appointments.

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About the Role

We are seeking a Senior Software Engineer, Data Platform to design and build scalable, data-intensive applications. This role is crucial for ingesting and transforming large datasets, creating efficient data retrieval APIs, and developing data products that drive business insights. You will be instrumental in shaping our data platform and contributing to backend engineering. The ideal candidate excels at bridging data engineering and backend development, building robust ETL pipelines, APIs, and data-driven solutions with a strong emphasis on performance and scalability.

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What You'll Be Doing

• Design and implement ETL pipelines for efficient processing of terabytes of credit data.
• Develop and optimize APIs for fast, reliable data retrieval, including exact and partial matches.
• Architect and manage scalable storage solutions (e.g., Bigtable, BigQuery, ElasticSearch, or other NoSQL/SQL systems).
• Collaborate with cross-functional teams to transform raw data into actionable products, driving insights and business value.
• Perform data analysis to determine optimal data utilization for client value.
• Work closely with internal and external stakeholders, including data science, product, and operations teams.
• Document processes, architectures, and APIs.
• Mentor junior engineers and promote a culture of technical excellence.

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What You'll Need

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• 5+ years of experience in building scalable backend systems, designing high-performance APIs, and processing large-scale datasets.
• Familiarity with credit or financial data and the associated regulatory considerations for sensitive information.
• Expertise in Go, Python, or Java.
• Strong foundation in SQL and NoSQL databases (Bigtable, BigQuery, DynamoDB) for scalable storage.
• Hands-on experience with AWS or GCP, containerization (Docker, Kubernetes), and CI/CD pipelines.
• Strong analytical skills, ability to thrive in a fast-paced, team-driven environment, and effectively communicate complex technical concepts.

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Nice to Have

• Proficiency with data processing tools like Apache Beam, Spark, Flink, and orchestrators like Airflow.
• Knowledge of data product lifecycle management.
• Experience with schema design and managing data integrity in distributed systems.
• Familiarity with modern monitoring and observability tools.

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Compensation & Benefits

• Base Pay Range: $140,000 - $160,000
• Equity: Generous equity with tremendous upside potential.
• Benefits: Attractive benefits package.

Note: The compensation offered will be determined by factors such as candidate location, qualifications, work history, and interview performance, and may vary from the stated range.