Data Engineer ID43407

Há 3 dias


Remoto, Brasil AgileEngine Tempo inteiro R$80.000 - R$120.000 por ano

About us

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.

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 Indeed-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.

Job Type: Full-time



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