Data Engineer ID43407 at AgileEngine

Villa Adelina, Buenos Aires, Argentina -

Full Time

Start Date

Immediate

Expiry Date

12 Feb, 26

Salary

0.0

Posted On

14 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Python, SQL, DBT, Airflow, Snowflake, Google BigQuery, REST APIs, ETL, Data Quality, Data Pipelines, Cloud Technologies, Terraform, AWS, Data Modeling, Documentation

Industry

Software Development

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 Data Engineer, you’ll play a key role in shaping high-impact data solutions that power smarter decision-making and support a global mission to connect people with meaningful work. You’ll collaborate with diverse teams to build secure, scalable pipelines and drive innovation in cloud-based data infrastructure. This is a chance to grow technically, influence product evolution, and thrive in an open, collaborative culture that values learning and excellence. WHAT YOU WILL DO Develop and maintain secure and efficient data pipelines using DBT, PySpark, and Python in an company-supported cloud environment, integrating all HR data sources to enable analytics and insights for HR COEs and HR leadership; Build the infrastructure and tooling required for optimal extraction, transformation, and loading (ETL) of data from various sources using Python, DBT, Terraform, and AWS technologies such as Glue, EMR , and S3; Identify, design, and implement internal process improvements, including automating manual workflows, debugging and optimizing data delivery, and re-architecting infrastructure for enhanced scalability; Apply the Data Quality Framework in the HRDM repository by developing unit tests, and creating both manual and automated test cases; Monitor data pipelines to ensure a minimum of 99.5% data availability; Create and maintain data models that are intuitive and easily consumable by business partners; Write and update project documentation (most data ingestion scripts are written in Python). MUST HAVES 4+ years of professional experience as a Data Engineer; Proficiency in Python for object-oriented programming and data scripting; Hands-on experience with Snowflake; Strong experience with SQL; Experience using DBT for data transformations; Experience with Airflow; Familiarity with REST APIs for integration and data ingestion; Experience working with Google BigQuery; Proven track record of handling large-scale and sensitive data securely; Experience with real-time data processing (e.g., from Google Sheets or APIs); Strong documentation skills; Advanced English communication skills. 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.

Responsibilities

As a Senior Data Engineer, you will develop and maintain secure and efficient data pipelines and build the infrastructure required for optimal data extraction, transformation, and loading. You will also monitor data pipelines to ensure high data availability and create data models for business partners.