Data Engineer (Senior/Lead) (Cali)

Data Engineer (Senior/Lead) (Cali)

01 oct
|
Agileengine
|
Cali

01 oct

Agileengine

Cali

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 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 integral 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.

Requirements
5+ years of experience in SQL (Snowflake/Cloud platform: AWS preferred); 5+ years of experience in Python; 5+ years of experience in workflow orchestration and building end-to-end data pipelines (Airflow, GitHub, etc.); 5+ years of experience in strong data modeling, data warehousing,



and ETL/ELT frameworks (foundational design for long-term data usage); 5+ years of experience in data monitoring and troubleshooting preferred; Upper-Intermediate English level.

Required Skill Profession

Computer Occupations

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