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AgileEngine is a software development consultancy and IT staffing provider that hires engineers to work on projects for its external clients, rather than as a direct employer for internal product development.

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AgileEngine
Posted 1y ago

Python & SQL Data Engineer (Middle/Senior) ID32276

AgileEngine
Mendoza, Mendoza, Argentina
HybridFull Time
Responsibilities
  • building pipelines
  • designing models
  • creating dashboards
Requirements
  • 3+ years in data modeling and engineering
  • Strong SQL and Python
  • Snowflake, DBT
  • Apache Airflow, APIs
  • GitLab CI/CD
  • Tableau
  • Strong analytical and communication skills
  • Upper-Intermediate English
Technical tools mentioned
SQLPythonSnowflakeApache AirflowDBTAPIsTableauGitLab CI/CDAWSS3Docker

Job description

Job Information

Title: Python & SQL Data Engineer (Middle/Senior) ID32276
Job Type: Full time
Company: AgileEngine
Country: Argentina
Location: MENDOZA
Published: 03/11/2025
City: MENDOZA
State/Province: Mendoza
Zip/Postal Code: 5500
Industry: IT Services




AgileEngine is one of the Inc. 5000 fastest-growing companies in the U and a top-3 ranked dev shop according to Clutch. We create award-winning custom software solutions that help companies across 15+ industries change the lives of millions


If you like a challenging environment where you’re working with the best and are encouraged to learn and experiment every day, there’s no better place - guaranteed! :)


What you will do


  • Build and optimize data pipelines to ensure reliable integration and transformation;

  • Design and maintain Snowflake tables and data models for analytics and reporting;

  • Enhance data observability to proactively identify and resolve issues;

  • Create dashboards and workflows to deliver business insights;

  • Collaborate with stakeholders to ensure project transparency and success.


Must haves 


  • +3 years of experience in data modeling principles/methods, especially Kimball;

  • Strong proficiency in SQL and experience working with Snowflake or similar cloud-based data warehouses;

  • Strong proficiency in Python for data processing and automation;

  • Hands-on experience building ETL pipelines using Apache Airflow or similar orchestration tools;

  • Hands-on experience using DBT for data transformation, modeling, and testing;

  • Strong experience consuming APIs and integrating data with Snowflake;

  • Ability to develop simple Tableau dashboards;

  • Proficiency in GitLab CI/CD workflows for continuous integration and deployment;

  • Familiarity with AWS services, especially S3;

  • Strong analytical and problem-solving skills;

  • Innovative and productivity-driven mindset – willingness to improve and automate processes;

  • Ability to adapt to business needs and stakeholder requirements;

  • Ability to communicate work clearly;

  • Upper-Intermediate English level.


Nice to haves


  • Basic knowledge of local development using Docker;

  • Tableau or any BI development experience.

The benefits of joining us


  • Professional growth

Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps.


  • Competitive compensation

We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities.


  • A selection of exciting projects

Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands.


  • Flextime

Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office – whatever makes you the happiest and most productive.


Next Steps After You Apply

The next steps of your journey will be shared via email within a few hours. Please check your inbox regularly and watch for updates from our Internal Applicant site, LaunchPod, which will guide you through the process.





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