#119004 - Data Engineer

Description

Summary: Seeking a Data Engineer to design, build, and maintain scalable data pipelines in a collaborative, cross-functional Agile environment, improving data availability for business functions. Highlights: 1. Support critical business functions through data product development 2. Work in a collaborative, cross-functional Agile environment 3. Partner closely with technical and business teams **Job Description** We are seeking a Data Engineer to support the development of data products that power critical business functions. This role focuses on building reliable, scalable data pipelines and improving data availability for a variety of stakeholders. You will work in a collaborative, cross\-functional Agile environment and partner closely with technical and business teams to deliver high\-quality data solutions. Enterprise experience strongly preferred. Key Responsibilities * Design, build, and maintain scalable data pipelines * Develop and optimize ETL processes to support data products * Work with structured and unstructured data across SQL and NoSQL systems * Collaborate with cross\-functional stakeholders to understand data requirements * Ensure data quality, reliability, and availability across systems * Manage and orchestrate workflows using pipeline management tools * Contribute to Agile sprint planning and delivery commitments * Troubleshoot and resolve data pipeline and workflow issues **Qualifications** Must\-Have Skills * Strong Python programming experience * 5\+ years of experience in Data Engineering or Data Warehousing * 5\+ years building data pipelines using ETL tools * 3\+ years hands\-on experience with big data technologies such as Snowflake, Redshift, Hive, Kafka, Spark, or similar * Extensive experience with SQL and NoSQL databases * Experience with workflow management tools such as Airflow * Strong communication and stakeholder management skills * Experience working in Agile, cross\-functional teams * Ability to manage competing priorities and deliver within sprint commitments Nice\-to\-Have Skills * Experience with dbt * Experience supporting data needs for finance, accounting, payments, or tax functions * Advanced degree in Math, Statistics, Computer Science, or related field **Additional Information** Required Tools \& Platforms * Python * SQL and NoSQL databases * ETL tools (dbt preferred) * Airflow or similar workflow orchestration tools * Big data platforms such as Snowflake, Redshift, Hive, Kafka, or Spark Location, Time \& Engagement * Location: LATAM (remote) * Engagement: Contract * Allocation: Full\-time (40 hours per week) * Duration: Through March 31, 2027