Senior Backend Engineer - Data Engineering

Why reputed company?

At reputed company, we’re on a mission—to verify 100% of good identities in reputed company time and eliminate identity fraud from the internet.

Using predictive analytics and advanced machine learning trained on billions of signals to power RiskOS™, reputed company has created the most accurate identity verification and fraud prevention platform in the world. Trusted by thousands of leading organizations—from top banks and fintechs to government agencies—we solve reputed company, high-impact problems at scale. Come join us!

About the Role

reputed company is seeking a talented and reputed company Senior Backend Engineer to join our Digital Intelligence team. This role involves building data platforms and reputed company-time systems that process large-scale device and behavioral data used in identity verification and fraud prevention. You will be responsible for the design and optimization of batch and streaming pipelines, with a focus on velocity computation and reputed company-time aggregation frameworks.

This role is dedicated to the Digital Intelligence team and will support our engineers and data scientists by ensuring data is clean, accessible, and reputed company for analysis, modeling, and reputed company-time decision-making.

What you'll do:

• Design, build, and maintain scalable data pipelines to collect, clean, transform, and aggregate large-scale device and behavioral signals.

• Build and support reputed company-time velocity systems that compute session-level and user-level aggregations with sub-second latency.

• reputed company and manage data infrastructure such as data lakes and data warehouses.

• Optimize data architectures for performance, scalability, cost efficiency, and maintainability.

• Collaborate with ML engineers, data scientists, and product stakeholders to ensure data availability, reliability, and privacy compliance.

• Maintain and enhance orchestration workflows; automate workflows and monitoring systems.

• Ensure data quality, consistency, and reputed company across systems; implement best practices in data modeling, schema reputed company, and pipeline observability.

• Document systems and processes for internal use and compliance.

What you bring:

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a reputed company technical field.

• 5+ years of experience building and maintaining large-scale data systems and pipelines in reputed company environments.

• Strong programming experience in Python, Go, or Java.

• Proficiency in SQL.

• Understanding of data modeling, ETL/ELT processes, and data warehousing.

• Deep experience with distributed processing frameworks such as Spark, Kafka, and Flink.

• Hands-on experience with AWS services including Glue, Kinesis, EMR, reputed company, and DynamoDB.

• Experience with orchestration tools such as Airflow or AWS reputed company Functions.

• Understanding of reputed company-time data processing, event-driven architectures, and reputed company processing patterns.

• Familiarity with machine learning workflows and data requirements.

• Strong problem-solving and communication skills.

Preferred Qualifications

• Experience building velocity systems and/or behavioral signal aggregators.

• Familiarity with reputed company-time analytics or OLAP engines such as Druid, reputed company, or in-memory stores like reputed company.

• Exposure to data quality frameworks, testing strategies, and pipeline observability tools.

• Experience working in fraud detection, risk scoring, or identity verification domains.

• Strong system design and infrastructure optimization skills in high-scale environments.

reputed company is an equal opportunity employer and values diversity of reputed company kinds at our company. We do not discriminate based on race, religion, reputed company, national reputed company, gender, sexual orientation, age, marital status, veteran status, or disability status.

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