Top Fintech Data Engineering Jobs

Administer and support Informatica IDMC and on-prem Informatica MDM environments, build resilient/cloud-ready MDM infrastructure on Azure, provide Linux and first-level server support, implement DR and RBAC, monitor cost/performance, troubleshoot jobs, and use IaC (Terraform/Ansible) and Git to automate and scale the platform.

Design, build, and optimize Snowflake data warehouses and ELT/ETL pipelines; write secure, maintainable code; perform code reviews; ensure data governance, access controls, encryption, and regulatory compliance; collaborate with stakeholders and follow SDLC and change management practices.

Lead architecture and scaling of the Databricks data warehouse and self-service data platform. Build reusable batch and streaming frameworks, enforce governance, SLOs, lineage, observability, CI/CD, and multi-tenancy. Mentor engineers, run design reviews, and ship documented patterns to enable analytics, data science, and app teams to move quickly without blocking on platform tickets.

The Analytics Engineer will build and maintain data infrastructure and dashboards, support ad hoc data requests, and manage stakeholder relationships.

Design, build, and optimize data products for credit risk and fraud management. Collaborate with data scientists and stakeholders to implement scalable data solutions.

Lead and mentor data engineering teams to ensure 24x7 platform stability, resiliency, and performance. Drive modernization to cloud-native lakehouse and event-driven architectures, implement AI-driven automation and observability, define SLAs/SLOs, reduce MTTD/MTTR, and standardize CI/CD and SRE practices to enable reliable analytics, regulatory reporting, and downstream AI/ML use cases.

Lead and grow a data operations team supporting the cloud market-data platform and upcoming data warehouse. Manage intake, SLAs, pipeline monitoring, data quality, access controls, vendor coordination, and stakeholder communication. Enable datasets for AI, support platform engineers, and oversee deployment, CI/CD, and unstructured data operations.

Design and develop scalable data engineering solutions and prototypes for analytics using AWS and Big Data technologies. Lead technical design, coordinate cross-functional teams, implement ETL/data integration, optimize system logic, ensure disaster recovery readiness, and produce progress reports while mentoring and assigning work to team members.

The Senior Data Engineer will design and manage data pipelines for massive datasets, ensuring quality, cost management, and effective data operations. Responsibilities include overseeing data flows, monitoring data quality, and managing vendor partnerships.

The role involves setting up and integrating open-ended funds, data migration, reconciliations, and collaborating with global teams and stakeholders.

As a Senior Data Engineer, you will build and maintain data pipelines, support analytics needs, and ensure data integrity for operations and reporting at Finix.