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Job Description 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 US If 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 ROLE As a Data Engineer , you'll be part of a small, senior team building a cloud-native data platform on AWS from the ground up — moving raw data through Bronze, Silver, and Gold layers into clean, trusted, analytics-ready datasets that directly power business decisions.
Working closely with the Data Architect and Head of Data, you'll have real visibility into the full data lifecycle: pipeline design, data quality, governance, and delivery.
If you want a role where your engineering work is foundational rather than incremental, and where the stack — S3, Glue, Redshift, dbt, Airflow, PySpark — is genuinely modern, this is it.
WHAT YOU WILL DO - Build and maintain scalable ETL and ELT pipelines across AWS services; - Implement medallion architecture for data ingestion, transformation, and delivery; - Collaborate with data architects on data modeling and schema design; - Develop ingestion frameworks for structured, semi-structured, and streaming data; - Integrate data quality, lineage, and observability into pipelines; - Work with analytics and business teams to deliver consistent and well-documented data; - Write clean and testable Python and SQL code following best practices; - Support data governance and security standards including compliance requirements; - Monitor pipeline performance, troubleshoot issues,



and optimize scalability and cost efficiency.
MUST HAVES - 5+ years of experience as a Data Engineer working with AWS data ecosystems ; - Strong experience with AWS services (S3, Glue, Lambda, Kinesis, Redshift, Athena, Step Functions) ; - Proficiency in Python, PySpark, and SQL for data transformation; - Strong understanding of ETL design patterns , batch and streaming data processing; - Knowledge of data modeling (star schema, snowflake schema, incremental processing); - Experience with orchestration tools (Airflow, Step Functions, dbt) ; - Understanding of data governance, data quality frameworks, and CI/CD for pipelines; - Experience working in agile, cross-functional environments; - Upper-intermediate English level .
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.
Requirements - 2–3+ years of experience in growth or marketing performance roles — ideally in the B2B SaaS or tech services space.
- Understanding of the AI market landscape, with the ability to promote AI development services and translate technical capabilities into marketing messages.
- Proven experience running successful marketing campaigns and managing performance metrics.
- Familiarity with CRM and Sales Engagement Platforms (e.g. Instantly, Reply.io, Apollo).
- Strong analytical skills with the ability to interpret data and generate actionable insights.
- Excellent organizational skills and attention to detail.
- Strong written and verbal communication skills in English.

Postúlate en Kit Empleo: kitempleo.com.ar/empleo/nnib0

📌 Data Engineer Id52084 (Victoria)
🏢 AgileEngine
📍 Victoria