Data Engineer ID43407

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 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. Requirements 2+ years of experience in Java (version 11 or higher); Strong knowledge of the Spring framework, including Spring Boot and Spring Core; Experience with SQL and databases such as MongoDB; Expertise in microservices architecture and REST/API-based development; Ability to write unit tests and integration tests for application reliability; Capability to work effectively within a Scrum team and agile environment; Bachelor’s degree in computer science, engineering, or a related technical field, or equivalent experience; Experience developing applications with complex business logic; Upper-Intermediate English level.