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Job Description

AgileEngine 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.

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: Versátil 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.co/empleo/18drxc

📌 Data Engineer (Bello)
🏢 Agileengine
📍 Bello