Associate Data Engineer

Summary

Join Candex, a rapidly growing global B2B fintech company, as an Associate Data Engineer. You will contribute to building and maintaining data pipelines and models using dbt, ensuring data accuracy and consistency. Responsibilities include data modeling, pipeline development, dbt development, data quality checks, collaboration with data analysts, pipeline optimization, and documentation. The ideal candidate possesses a Bachelor's degree in a related field, 1-3 years of experience, strong SQL and Python skills, and a good understanding of dbt. Preferred skills include experience with data visualization tools and knowledge of data governance. Candex offers unlimited PTO, flexible work environment, comprehensive medical benefits, life insurance, wellbeing benefits, 401K, home office setup, and team-building activities.

Requirements

• Bachelor's degree in Computer Science, Data Engineering, or a related field
• 1-3 years of experience in a Data Engineer or similar role, or relevant internships and projects
• Solid proficiency in SQL (e.g., Snowflake, Google BigQuery) and Python
• Good understanding of dbt and its core concepts
• Familiarity with basic data warehousing concepts and tools
• Strong problem-solving and analytical abilities
• Ability to learn quickly and work effectively both independently and within a team

Responsibilities

• Data Modeling: Contribute to the design and implementation of well-structured data models using dbt, focusing on data accuracy and consistency across different data sources
• Data Pipelines: Assist in developing and maintaining efficient data pipelines to extract, transform, and load (ETL) data from various sources into our data warehouse
• Dbt Development: Utilize dbt to develop reusable and maintainable data transformations, write tests, and contribute to documentation under guidance
• Data Quality: Help implement data quality checks and monitoring processes to ensure the reliability of our data
• Collaboration: Work closely with data analysts and more senior team members to understand their needs and translate them into technical solutions
• Optimization: Learn and contribute to the optimization of data pipelines and models for better performance and scalability
• Documentation: Assist in creating clear and understandable documentation for data pipelines, models, and processes

Preferred Qualifications

• Exposure to cloud platforms (e.g., AWS, GCP, Azure) is a plus
• Experience with data visualization tools (e.g., Tableau, Power BI) is a bonus
• Basic understanding of data governance concepts

Benefits

• Unlimited PTO and a flexible working environment
• We offer comprehensive medical, dental, and vision, Flexible Spending Account, Health Savings Account (with an employer contribution)
• We also provide Life Insurance, STD and LTD
• Wellbeing benefits through Employee Assistance Program, Spring Health and OneMedical
• 401(K)
• Home Office Setup
• Team-building off sites and outings