Data Engineer (Mid/Sr)

Top 3 reasons to join us

• Fast-paced learning for motivated individuals
• A rapid-growing product impacting the health
• Open-minded workspace of a Silicon Valley startup

Job description

Everfit is looking for a skilled and detail-oriented Data Engineer to join our team. The ideal candidate will play a crucial role in building and maintaining robust data pipelines, ensuring data is clean, efficient, and accessible for analysis. You’ll work closely with data scientists, analysts, and product teams to support the Everfit platform’s data infrastructure, enabling data-driven insights and better user experiences for personal trainers and clients.

• Data Pipeline Development: Design, build, and maintain scalable and efficient data pipelines to process and integrate data from multiple sources, ensuring high-quality and reliable data flow.
• Database Management: Manage and optimize relational and non-relational databases including MongoDB, HubSpot, Stripe, ensuring data accessibility and integrity for the data science and analytics teams.
• ETL Process: Develop and implement ETL (Extract, Transform, Load) processes using Databricks to transform raw data into usable formats for analysis and reporting.
• rETL Process: Implement and manage reverse ETL processes using tools such as Hightouch to build data models, create audiences, sync audiences back to operational tools.
• Data Quality & Monitoring: Ensure the quality and accuracy of data by conducting regular checks, resolving data inconsistencies, and optimizing data workflows.
• Collaboration with Data Teams: Work closely with data scientists, analysts, and product teams to understand data needs and deliver the infrastructure to support advanced analytics and machine learning models.
• Cloud Infrastructure: Utilize cloud platforms (e.g. AWS) for data storage and processing, ensuring scalability and security.
• Performance Optimization: Continuously monitor, optimize, and troubleshoot data pipelines for performance, reliability, and scalability.

Your skills and experience

• Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field.
• Proven experience 4+ years in data engineering, with a strong understanding of data modeling, ETL processes, and database management.
• Proficiency in programming languages (e.g., Python, SQL, Scala) and frameworks (e.g., Apache Spark, Hadoop).
• Experience with cloud platforms (AWS) and their data-related services (e.g., Redshift, BigQuery, S3).
• Solid experience with data warehouses and platforms such as Databricks, as well as building data lakes.
• Strong understanding of data architecture principles and best practices for managing large datasets.
• Familiarity with version control systems (e.g., Git) and containerization technologies (e.g., Docker).

Nice to have:

• Experience with big data technologies (e.g., Hadoop, Spark).
• Familiarity with real-time data streaming tools (e.g., Apache Kafka).
• Experience working in the fitness or wellness industry, particularly with personal trainer/client management systems.

Why you'll love working here

Compensation & Benefits:

• Competitive salary with 13th-month pay and performance bonus.
• Quarterly performance bonuses and year-end awards.
• Paid sick leave, maternity leave, and vacation days.

Work Environment:

• Agile-Scrum methodology with flexible work hours.
• Talented people from all over Vietnam and the world.
• International team for global career growth.
• State-of-the-art equipment provided.
• Beautiful working environment near Danang's city center (Dragon Bridge) and Hanoi office.

Health & Wellness:

• PVI health care program & annual health checks.
• Sports clubs (football, badminton) & company retreats.
• Modern pantry for relaxation.

Professional Growth:

• Training, mentoring & e-learning opportunities.
• 1-2 performance reviews annually.
• Potential opportunities to join a fast-growing company.