Associate Data Engineer

Candex; Boston (MA); On-site; USD 57,000 - 240,000; Full time

Job summary

Candex, a leading B2B fintech company, seeks an Associate Data Engineer to enhance its data analytics capabilities. This entry-level role will involve building data pipelines, ensuring data quality, and collaborating with analysts to drive insights. Candidates should have a foundational understanding of data principles, SQL, and a willingness to learn dbt in a supportive team environment.

Benefits

Unlimited PTO

Flexible working environment

Comprehensive health benefits

401(k) Retirement Plan

Home Office Setup

Qualifications

• 1-3 years of experience in Data Engineering or relevant internships.
• Solid proficiency in SQL and Python.
• Good understanding of dbt and its core concepts.

Responsibilities

• Contribute to the design and implementation of data models.
• Develop and maintain data pipelines for ETL processes.
• Utilize dbt for data transformations and documentation.

Skills

SQL

Python

Data Modeling

Data Quality

Problem-solving

Analytical abilities

Education

Bachelor's degree in Computer Science

Degree in Data Engineering

Tools

dbt

Snowflake

Google BigQuery

Job description

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About

Candex is a rapidly growing private global B2B fintech company on a mission to reshape the way businesses transact. Our tech-based solution makes purchasing fast and easy for enterprise buyers. Recognized in the ProcureTech 100 for Procurement Innovation, our SaaS Platform and accompanying services completely transform the buying experience for large companies around the globe. Buyers enjoy the simplicity of Candex for their purchases, vendors get paid faster, and procurement teams love the increased control they gain over purchases — Everyone wins!

About

Candex is a rapidly growing private global B2B fintech company on a mission to reshape the way businesses transact. Our tech-based solution makes purchasing fast and easy for enterprise buyers. Recognized in the ProcureTech 100 for Procurement Innovation, our SaaS Platform and accompanying services completely transform the buying experience for large companies around the globe. Buyers enjoy the simplicity of Candex for their purchases, vendors get paid faster, and procurement teams love the increased control they gain over purchases — Everyone wins!

We serve companies in the Global 2,000 and our existing clients include some of the world’s biggest corporations. We’ve raised over $85M from leading investors including Goldman Sachs, JP Morgan, American Express, Altos, Craft, and NFX. Available in almost 50 countries, Candex is expanding our already robust footprint and is looking for ambitious, fun people to join us on our mission to revolutionize the way businesses engage and pay their suppliers.

Position Overview

We're on the lookout for a bright and enthusiastic Associate Data Engineer to join our growing team and help us turn raw data into valuable insights. If you have a solid foundation in data engineering principles and are eager to build your skills with dbt, this could be the perfect opportunity for you. You'll play a key role in building and maintaining the data pipelines and models that power our organization's analytics and reporting. If you're a motivated and skilled aspiring Data Engineer with a growing interest in dbt, we encourage you to apply and grow with us!

The Role

• 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.
  
  

Qualifications

• 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.
• Exposure to cloud platforms (e.g., AWS, GCP, Azure) is a plus.
• 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.
  
  

Preferred Skills:

• Experience with data visualization tools (e.g., Tableau, Power BI) is a bonus.
• Basic understanding of data governance concepts.
  
  

Why Work With Us

• We are humble, hungry, intelligent and collaborative
• 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, Short Term Disability and Long Term Disability
• Wellbeing benefits through Employee Assistance Program, Spring Health and OneMedical
• 401(k) Retirement Plan
• Home Office Setup
• Team-building off sites and outings
  
  

Equal Opportunity Employer

Studies indicate that individuals from marginalized backgrounds, including women, often choose to apply for positions only when they fulfill all listed requirements. However, if you find that this role resonates with you even though you don't match every criterion, we strongly encourage you to get in touch with us. Our commitment to being an equal opportunity employer drives us to cultivate a workplace that celebrates diversity and inclusivity, embracing individuals from various backgrounds. Our hiring process prioritizes skills and abilities, and our wide-reaching outlook is something we take great pride in. Feel free to reach out!

Seniority level

• Seniority level

  Entry level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  Software Development

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