Postúlate en Kit Empleo: kitempleo.com.ar/empleo/pmmfn

AgileEngine is an Inc. **** company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries.
We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.WHY JOIN USIf you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!
ABOUT THE ROLEWe are looking for a Senior Data Engineer to design and maintain scalable data pipelines and platforms supporting Accounting, Finance, Payments, and Tax functions within a large-scale financial systems platform.
You will build ETL/ELT workflows using Python, dbt, and Airflow, working across Snowflake, Redshift, Kafka, and Spark to ensure data availability and reliability for critical business operations.
The role operates in a cross-functional Agile environment with direct stakeholder engagement across Engineering, Product, and Analytics teams.WHAT YOU WILL DO- Design, develop, and maintain scalable and reliable ETL/ELT pipelines;- Build and optimize data workflows using tools such as dbt and Airflow;- Develop and maintain data solutions leveraging technologies such as Snowflake, Redshift, Kafka, Spark, and Hive;- Work with both SQL and NoSQL databases to support data ingestion, transformation, and analytics needs;- Monitor, troubleshoot, and improve data pipeline performance, scalability, and reliability;- Collaborate closely with cross-functional teams including Engineering, Product, Analytics,



and Business stakeholders;- Participate in Agile ceremonies and contribute to sprint planning and delivery commitments;- Manage multiple priorities effectively while ensuring timely and high-quality deliverables;- Contribute to data architecture discussions and help drive engineering best practices.MUST HAVES- 5+ years of professional experience in Data Engineering or Data Warehousing roles;- Strong programming skills in Python;- 5+ years of experience building data pipelines using ETL/ELT tools, with dbt preferred;- 3+ years of hands-on experience with big data technologies such as Snowflake, Redshift, Kafka, Spark, or Hive;- Extensive experience working with both SQL and NoSQL databases;- Strong expertise with workflow orchestration and pipeline management tools such as Airflow;- Strong understanding of scalable data architecture and engineering best practices;- Excellent communication and stakeholder management skills;- Proven ability to manage competing priorities and deliver within agreed sprint commitments;- Comfortable working in highly collaborative, cross-functional Agile teams;- Self-starter mindset with strong analytical, problem-solving, and critical-thinking abilities;- Master's degree in Computer Science, Mathematics, Statistics, or a related technical field preferred, or Bachelor's degree with relevant experience;- Upper-intermediate English level.NICE TO HAVES- Experience working in cloud-based data environments;- Familiarity with modern data warehousing and distributed systems concepts;- Exposure to data governance, observability, or data quality frameworks.PERKS AND BENEFITS- Professional growth: Mentorship, TechTalks, and personalized growth roadmaps.
- Competitive compensation: USD-based pay with education, fitness, and team activity budgets.
- Exciting projects: Modern solutions with Fortune 500 and top product companies.
- Flextime: Adaptable schedule with remote and office options.

Postúlate en Kit Empleo: kitempleo.com.ar/empleo/pmmfn

📌 Senior Data Engineer Id65436 (Victoria)
🏢 AgileEngine
📍 Victoria