Postúlate en Kit Empleo: kitempleo.com.ar/empleo/px88c

WHY JOIN US

Agile Engine is an Inc. 5000 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.

ABOUT THE ROLE

We 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, Tech Talks, 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: Versátil schedule with remote and office options.

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Postúlate en Kit Empleo: kitempleo.com.ar/empleo/px88c

📌 Senior Data Engineer (Córdoba)
🏢 AgileEngine
📍 Córdoba