Back to SearchSenior Data Integration Engineer (AI, Python, Databricks)
Remote in Argentina, & 2 others
Data Integration& 4 others
Looking for something else?
Find a vacancy that works for you. Send us your CV to receive a personalized offer.
Find me a job
Choose an option
We are building dependable, scalable data integration platforms and want a Senior Data Integration Engineer who brings practical AI familiarity. You will partner with a collaborative team to design and run cloud-based pipelines using Python, SQL, Airflow, Spark, and tools like Databricks or Snowflake. Apply now to help deliver high-quality integrations and keep advancing your AI skills
Responsibilities
- Design scalable, long-lasting data integration systems that satisfy both business and technical needs
- Collaborate with cross-functional teams to deliver work on time while meeting quality standards
- Contribute to architecture discussions by sharing input that shapes data integration direction
- Review peers’ code and provide actionable feedback to uphold reliable engineering practices
- Troubleshoot complex technical problems that arise across the data pipeline lifecycle
- Mentor junior colleagues by sharing knowledge that strengthens their technical skills
- Support planning activities by clarifying scope and providing trustworthy time estimates
- Stay current with evolving technologies and introduce valuable approaches into day-to-day work
- Maintain clear documentation of key technical decisions and data workflows to ensure long-term stability
- Partner with stakeholders to define goals and verify outcomes meet expectations
Requirements
- At least 3 years of applicable, relevant professional experience
- Functional knowledge of AI principles and tools, applied to improve data integration solution development
- Advanced proficiency in Python for developing and maintaining data integration applications
- Hands-on background working in cloud environments built on Amazon Web Services
- Strong foundation in Data Integration, combining and harmonizing data from multiple sources
- Solid SQL skills for structuring, managing, and querying relational databases
- Familiarity with NoSQL database systems to work with unstructured and semi-structured data
- Understanding of CI/CD practices that enable consistent, automated deployment of software and pipelines
- Working knowledge of Google Cloud Platform for operating and deploying cloud-centered data solutions
- Experience with Apache Airflow to schedule, orchestrate, and monitor data workflows
- Practical experience with Databricks or Snowflake to support large-scale processing and analytics
- Hands-on knowledge of Apache Spark for processing and analyzing substantial datasets
- Awareness of SDLC Methodologies and how they support organized, efficient project delivery
- Experience working in Agile settings that encourage iterative, team-oriented development
- Confident English communication skills at a B2 level (Upper-Intermediate) or higher