Job Description

We are seeking an experienced Software/Data Engineer to design and deliver scalable data processing systems and AI-enabled workflows. This contract role sits at the intersection of software engineering and data engineering, with a strong focus on Spark, cloud-based distributed processing, production reliability, and data preparation for analytics and machine learning use cases

Key Responsibilities

• Design and develop scalable data processing solutions using Spark and Amazon EMR or comparable cloud-based data processing platforms.
• Build and maintain batch and distributed data pipelines.
• Develop software components for data transformation, feature preparation, and AI or machine learning workflow integration.
• Collaborate with engineering, AI, and product teams to operationalize data-driven and model-enabled use cases.
• Optimize data pipeline performance, cost efficiency, scalability, and production reliability.
• Troubleshoot data and application issues across development and production environments.
• Contribute to architecture discussions, technical documentation, and engineering standards.
• Ensure solutions align with data quality, governance, and security expectations.

Qualifications

Must-Have Skills

• 4+ years of software engineering or data engineering experience.
• Strong experience with Spark and distributed data processing.
• Experience with Amazon EMR or similar cloud-based data processing platforms.
• Proficiency in Java, Python, or a related programming language.
• Exposure to AI or machine learning workflows, model integration, or data preparation for intelligent systems.
• Strong understanding of scalable data architecture and performance optimization.
• Strong debugging and collaboration skills.
• Comfortable delivering in evolving, data-intensive environments.
• Ability to bridge software engineering and data engineering responsibilities.
• Strong execution focus with practical architecture judgment.

Nice-to-Have Skills

• Experience with Kafka, Airflow, data lakes, or data warehouse ecosystems.
• Familiarity with MLOps, feature stores, or AI platform integration.
• Experience with AWS-native services and observability tooling.
• Enterprise experience strongly preferred.

Additional Information

Required Tools & Platforms

• Apache Spark.
• Amazon EMR or a comparable cloud-based distributed data processing platform.
• Java, Python, or a related programming language.

Location, Time & Engagement

• Remote contract role.
• Candidates must be located in LATAM, excluding Mexico.
• U.S. Central Time coverage is required.
• Full-time allocation of approximately 40 hours per week.
• Current contract end date is March 31, 2027.