#130529 - Software/Data Engineer - Spark, AWS EMR & AI

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.