Ally Financial Careers

At Ally, you get a startup feel, but experience the benefits of a company that has worked out the kinks and is fulfilling its purpose. We are always evolving and see that as a good thing. From owning our work to seeing its impact in the real world, our team is relentless in finding new ways technology can help make experiences better and help people. We are problem solvers, we value diverse thinking, we support one another, and we challenge ourselves to think bigger in the journey to deliver customer-obsessed tech solutions. To read more about what our tech team does, be sure to visit our tech blog at ally.tech

Join Ally's Identity Shield and Consumer Fraud team to build mission-critical data platforms and APIs at the intersection of data engineering, security, and real-time fraud prevention. You'll develop systems that aggregate and enrich behavioral, transactional, and contextual signals across Ally's digital banking ecosystem, building intelligent, AI-enabled services that power adaptive authorization and fraud detection protecting millions of customers every day.

At this time, Ally will not sponsor a new applicant for employment authorization for this position.

As an engineer on this team, you'll tackle fascinating challenges at the convergence of fast data and security - processing massive volumes of streaming events, enriching signals with contextual intelligence, and serving insights with millisecond latency. You'll work with modern data technologies to build resilient, scalable platforms where performance and reliability directly impact our ability to keep customers safe. This is your opportunity to shape Ally’s next‑gen identity and fraud defense stack, AI-assisted development workflows, honing your skills in security-first design principles, distributed systems, streaming architectures, and cloud‑native development. This role offers the rare combination of high-impact work, cutting-edge technology, and meaningful outcomes. You'll collaborate across engineering, data science and security teams to solve complex problems that matter. Whether you're developing intelligent identity management capabilities, designing event schemas and platforms for real-time fraud detection, or building APIs that serve critical signals, your work will be visible and valued.

On this team, we believe in relentless progress balanced with sustainable pace. We support each other, celebrate wins, learn from setbacks, and foster an environment where everyone can do their best work. Our #1 goal is team success, and our people are above all else.

Key Responsibilities:

• Design and build scalable data pipelines that ingest, transform, and enrich signals from diverse sources across Ally's ecosystem
• Develop streaming applications that process high-volume event streams with low latency requirements
• Create robust data models and schemas optimized for both analytical queries and real-time serving
• Write clean, tested Python code following engineering best practices and team standards
• Collaborate with fraud analysts and data scientists to understand requirements and deliver solutions that drive real outcomes
• Participate in architectural decisions, technical design reviews, and code reviews
• Build and maintain infrastructure-as-code for data platform components
• Monitor, troubleshoot, and optimize platform performance and reliability
• Contribute to documentation, runbooks, and knowledge sharing across the team
• Experiment with emerging technologies and propose innovations that enhance platform capabilities
• Mentor team members and contribute to a culture of continuous learning and improvement

Minimum Qualifications:

• 7+ years of relevant experience
• Bachelor’s Degree in relevant field(s) of study or equivalent

Preferred Qualifications:

• 5+ years of professional software development experience with strong fundamentals in data structures and algorithms
• Proficiency in Python, NodeJS, TypeScript for building data pipelines, APIs, and backend services
• Strong SQL skills and hands-on experience with PostgreSQL including query optimization and data modeling
• Experience working with both relational databases (PostgreSQL) and NoSQL databases (DynamoDB) and Graph DB (Neptune) in production environments 
• Experience designing and implementing ETL/ELT workflows for data transformation and enrichment
• Passion for writing maintainable code, automated tests, and clear documentation
• Collaborative mindset with excellent communication skills across technical and non-technical audiences
• Self-motivated learner who stays curious about new technologies and approaches
• BSc/BA in Computer Science, Engineering or a related field, or equivalent practical experience
• Experience building or working with streaming applications and event-driven architectures
• Familiarity with AWS data services such as Flink, Glue, Kinesis, and ElasticCache
• Understanding of API design and microservices architectures
• Knowledge of RESTful API Design, GraphQL and AWS AppSync for building scalable APIs
• Knowledge of serverless patterns and technologies (Lambda, ECS/Fargate, etc.)
• Knowledge of observability tools and distributed tracing (Dynatrace, OpenTelemetry, CloudWatch, X-Ray)
• Familiarity with caching strategies for authentication state (ElastiCache, Redis)
• Experience designing and deploying systems across multi-region architectures
• Experience with Infrastructure as Code tools like Terraform or similar
• Understanding of distributed systems concepts and data engineering principles
• Background or interest in cybersecurity, fraud detection, or risk management domains
• Exposure to distributed messaging systems or event streaming platforms
• Exposure to AI-assisted development tools and workflows