Fitch Group is hiring a Data Tech - Software Engineer to join a high-performing data engineering team building modern, scalable data solutions on AWS. You'll partner with the Chief Data Office and data product leaders to implement a platform vision that enables enterprise-wide self-service for AI, analytics, and innovation.
What You'll Do
- Implement modern scalable data solutions aligned with business priorities.
- Partner with the CDO team and data product leaders to implement the vision for an AWS-based data platform.
- Implement architectural decisions and establish best practices for data ingestion, transformation, and distribution frameworks.
- Champion adoption of emerging technologies such as Agentic AI and Generative AI, integrating advanced capabilities into data workflows.
- Ensure operational excellence and reliability by proactively addressing complex data engineering challenges, implementing robust quality controls, and preventing production incidents.
What We're Looking For
- 3-5 years ‘hands-on’ experience as a member of a highly technical data-centric software engineering team, preferably in financial services.
- Proven AWS expertise (S3, EKS, Lambda, Glue, EMR, Redshift, RDS/Aurora, Valkey/Redis, Step Functions, MSK/Kafka, Event Bridge).
- Strong Python for data engineering (Pandas, Spark/PySpark) and API Development (FastAPI or similar).
- Design and build high-performance REST/GraphQL APIs with optimized query patterns, pagination, caching, and schema design.
- Build ETL/ELT pipelines for batch and streaming; Kafka/MSK with schemas (Avro/JSON) and delivery semantics.
- Optimize performance of object-based and relational datastores.
- Design applications with microservices and containerization mindset with ‘decoupling’ architectural principles.
- CI/CD and IaC with GitHub, Git/GitHub workflows, ArgoCD.
- Security and reliability: IAM, KMS, secrets, VPC networking, observability (OpenTelemetry), SLOs, cost governance.
- Ability to solve complex data-driven requirements and triage towards defects and production bugs.
- Experience with technology solutions and tools including data governance and catalog solutions (e.g. Collibra, Alation), data platform and lake(house) (i.e. ‘medallion’ architecture), and data mesh and virtualization tools (e.g. Starburst, Denodo).
Nice to Have
- AWS Certification strongly preferred.
- Experience applying AI/ML to boost engineering productivity (e.g., GitHub Copilot, Amazon Q).
- Hands-on experience building AI agents (e.g., using LangChain or LlamaIndex), implementing RAG over enterprise data, and enforcing robust guardrails.
- Applying AI/ML to boost engineering productivity (e.g., GitHub Copilot, Amazon Q) and using agentic AI to automate workflows such as code reviews, test generation, data quality checks, and runbook execution.
- Experience working with AI connection protocols (e.g., MCP, A2A) that ensure secure, interoperable, observable, and vendor-agnostic communication.
- Caching with Valkey/Redis: TTL strategies, invalidation, key design.
- Experience with forming strong partnerships with stakeholders and product teams.
- Great interpersonal and collaboration skills.
- Ability to translate technical concepts to non-technical stakeholders.
Technical Stack
- AWS, Databricks, Snowflake, Starburst, Collibra, Informatica
- Python, Pandas, Spark, PySpark, FastAPI
- REST, GraphQL
- Kafka, MSK, Avro, JSON
- Valkey, Redis
- GitHub, ArgoCD
- OpenTelemetry
- LangChain, LlamaIndex
Team & Environment
You will be a member of the Technology & Data Team, which includes the Chief Data Office, Chief Software Office, Chief Technology Office, Emerging Technology, Shared Technology Services, Technology, Risk and the Executive Program Management Office (EPMO).
Benefits & Compensation
- Work-life balance: 40% in-office monthly.
- A culture of learning & mobility: Dedicated trainings, leadership development and mentorship programs.
- Investing in your future: Retirement planning and tuition reimbursement programs.
- Promoting health & wellbeing: Comprehensive healthcare offerings.
- Supportive parenting policies: Generous global parental leave plan.
- Inclusive work environment: Employee Resource Groups.
- Dedication to giving back: Paid volunteer days, matched funding for donations.
Work Mode
This is a hybrid role based in Monterrey, Mexico, requiring a monthly in-office presence.
Fitch is proud to be an Equal Opportunity and Affirmative Action Employer. We evaluate qualified applicants without regard to race, color, national origin, religion, sex, sexual orientation, gender identity, disability, protected veteran status, and other statuses protected by law.
