Back to SearchSenior Data Software Engineer
Remote in Mexico
Data Software Engineering& 9 others
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We are looking for a Senior Data Software Engineer to join our team. This role sits at the heart of how data-driven insights are built, delivered, and scaled across the organization. You'll partner with skilled professionals across multiple disciplines to bring innovative solutions to complex challenges. It's a great opportunity for someone who enjoys combining strong engineering practices with a passion for data-driven decision making.
Responsibilities
- Support and take part in preparing machine learning datasets and managing scoring processes
- Build and maintain deep familiarity with real-time and snapshot-based data sources company-wide, along with the Analytics team members who own them
- Partner with Data Scientists to build and roll out key machine learning models
- Advance the ML component of the Enterprise Data Platform strategy, expanding how ML predictions and recommendations are distributed through API-based scoring and data warehouse access
- Embed automated workflows into ML Data Engineering processes to support monitoring and alerting
- Apply performance tuning techniques and optimize query execution
- Serve as a go-to resource for the Machine Learning team on matters related to Data Lifecycle Management
- Stay current with evolving technologies across databases, data lakes, and data warehouse platforms
- Work alongside Analytics team members to follow documented architecture, design, and deployment standards, ensuring policy compliance
- Architect and build scalable, reusable data models
Requirements
- Bachelor's or Master's degree in Computer Science, Computer Engineering, Mathematics, Statistics, or a related field
- 3+ years of hands-on, relevant professional experience
- Background in Machine Learning, Data Engineering, ML Infrastructure, or similar areas, with a solid foundation in probability, statistics, and machine learning concepts
- Hands-on experience with Databricks, including Unity Catalog, along with cloud ML platforms such as Azure ML Studio, AWS, or GCP
- Experience building and scaling end-to-end ML systems, ETL/ELT pipelines, and data workflows using Python, NumPy, Pandas, and SQL
- Experience developing scalable APIs and microservices with FastAPI, alongside Snowflake or comparable data warehouse technologies
- Strong communication and cross-functional collaboration skills, with working English fluency at B2 level or higher, supporting clear understanding of business requirements
Nice to have
- Experience deploying production workloads using Docker and Kubernetes, with a solid grasp of scalable, reliable software engineering practices
- Familiarity with Microsoft Azure for building and managing cloud-based solutions