Senior Data Engineer ID71670

AgileEngine, LLC.; Sur; Presencial; COP 120.000.000 - 180.000.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Professional growth

Competitive compensation

Exciting projects

Flextime

Descripción de la vacante

AgileEngine is seeking a Senior Data Engineer to architect and scale a modern data platform. You will build ETL/ELT pipelines, optimize Snowflake schemas, and establish robust DataOps practices.

Expect to work with Airflow, Prefect, or Dagster, and apply CI/CD, Docker, and IaC standards to data repositories. You will ensure data reliability, quality, and accessibility by implementing data quality checks and lineage, integrating REST APIs and streaming sources, and delivering production-grade

Formación

• 4+ years of experience as a Data Engineer.
• Strong proficiency in Python, with modular and well-tested code.
• Advanced knowledge of SQL, data modeling, and normalization/denormalization.

Responsabilidades

• Design, build, and maintain reliable ETL/ELT workflows for batch and streaming data.
• Design Snowflake schemas to optimize analytics.
• Ingest data from REST APIs, event streams, and batch sources.
• Maintain orchestration pipelines with Airflow, Prefect, or Dagster.
• Implement data quality checks, lineage tracking, and alerting.

Conocimientos

Python

SQL

REST APIs

Data quality checks

Data lineage

CI/CD

Infrastructure-as-Code

Herramientas

Snowflake

Apache Airflow

Prefect

Dagster

Docker

Git

Descripción del empleo

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

We are looking for a Senior Data Engineer to architect, build, and scale a modern data platform — designing production-grade ETL/ELT pipelines, optimizing Snowflake data warehouse schemas, and establishing robust DataOps practices. You will orchestrate workflows using Airflow, Prefect, or Dagster, implement data quality and lineage frameworks, integrate third-party REST APIs and event-driven sources, and apply software engineering standards including CI/CD, Docker, and automated testing to data repositories. The role prioritizes clean, well-tested Python code and a deep commitment to data reliability and accessibility.

WHAT YOU WILL DO

• Design, build, and maintain reliable, scalable ETL/ELT workflows that process batch and streaming data from diverse sources;
• Design production-ready normalized and denormalized schemas in Snowflake to optimize query performance and support enterprise analytics;
• Connect and ingest data from third-party REST APIs, event-driven streams, and batch sources into core data storage platforms;
• Maintain and expand workflow orchestration pipelines using Airflow, Prefect, or Dagster;
• Implement automated data testing, validation, lineage tracking, and proactive alerting frameworks to ensure data accuracy and system uptime;
• Drive CI/CD best practices, maintain codebases using Git and Docker, and adopt Infrastructure-as-Code patterns;
• Apply modern software engineering standards, including design patterns, automated unit and integration testing, and clear documentation.

MUST HAVES

• 4+ years of experience as a Data Engineer;
• Strong proficiency in Python, including modular, maintainable, and well-tested code;
• Advanced knowledge of SQL, query optimization, database design principles, and normalization/denormalization patterns;
• Hands-on experience with Snowflake;
• Production experience with workflow orchestration tools such as Apache Airflow, Prefect, or Dagster;
• Experience working with REST APIs, event-driven architectures, and batch and streaming pipelines;
• Experience implementing automated data quality checks, data lineage, and alerting mechanisms;
• Strong experience with Git, Docker, CI/CD automation, and Infrastructure-as-Code fundamentals;

NICE TO HAVES

• Experience with dbt for data transformations;
• Familiarity with major cloud platforms such as AWS, GCP, or Azure;
• Experience with message streaming technologies such as Apache Kafka or AWS Kinesis.

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: Flexible schedule with remote and office options.