Data Engineer (Lead) ID41785

AgileEngine; Ciudad de Mendoza; Híbrido; ARS 15.000.000 - 20.000.000; Jornada completa

Descripción de la vacante

A leading software company in Mendoza is looking for a Senior/Lead Data Engineer to build data foundations for analytics and advanced solutions. Candidates should have over 10 years of experience in SQL and Python, with strong skills in data modeling and pipeline orchestration. The role offers competitive USD-based compensation, professional growth opportunities, and flexible work arrangements.

Servicios

Professional growth opportunities

Competitive USD-based compensation

Exciting projects with top-tier clients

Flexible working hours

Formación

• 10+ years of experience in SQL, preferably Snowflake or AWS.
• 10+ years of experience in Python programming.
• 10+ years in workflow orchestration and building data pipelines.

Responsabilidades

• Build consolidated data foundations and dashboards for analytics.
• Develop single sources of truth for business data.
• Implement and optimize data pipelines and analytics platforms.

Conocimientos

SQL

Python

Data modeling

Data warehousing

ETL/ELT

Data monitoring

Herramientas

Snowflake

AWS

Airflow

GitHub

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

As a Senior/Lead Data Engineer, you will shape the data foundations that drive advanced analytics and empower millions of people to find jobs worldwide. In this role, you’ll influence large-scale data strategy, work with global teams, and contribute to impactful solutions in a collaborative and innovative culture. With challenging projects, growth opportunities, and a strong engineering community, this is a chance to lead and make a real difference in the data engineering space.

WHAT YOU WILL DO

• Build consolidated data foundations and dashboards to support workforce analytics;
• Develop single sources of truth for business data, ensuring data accuracy and consistency;
• Implement and optimize data pipelines, dashboards, and analytics platforms;
• Enable advanced analytics and data science use cases, including anomaly detection, recommendation systems, and predictive analytics.

MUST HAVES

• 10+ years of experience in SQL (Snowflake/Cloud platform: AWS preferred);
• 10+ years of experience in Python;
• 10+ years of experience in workflow orchestration and building end-to-end data pipelines (Airflow, GitHub, etc.);
• 10+ years of experience in strong data modeling, data warehousing, and ETL/ELT frameworks (foundational design for long-term data usage);
• 10+ years of experience in data monitoring and troubleshooting preferred;
• Upper-Intermediate English level.

NICE TO HAVES

• Strong PMO background;
• Self-starter with a strong ability to guide/lead self and/or team on projects;
• Ability to strategize and lead complex data analysis, working with business leaders and cross-functional teams to understand and match their strategic and operational needs;
• Exceptional ability to distill complex data into clear, concise, and actionable recommendations for both technical and non-technical stakeholders, including senior management (CEO, VP, SVP).

PERKS AND BENEFITS

• 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.