AvidXchange is looking to design, build, and maintain scalable data pipelines and infrastructure to support external-facing analytics products, ensuring data quality, consistency, and availability for customer-facing data products.
Requirements
- Strong proficiency in SQL and a programming language such as Python or Scala.
- Hands-on experience with cloud data platforms (e.g., AWS, Azure, or GCP).
- Familiarity with modern data tools and frameworks such as Databricks, Apache Spark, and dbt.
Responsibilities
- Design, build, and maintain scalable data pipelines and infrastructure to support external-facing analytics products.
- Ensure data quality, consistency, and availability across all customer-facing data products.
- Develop and maintain data models and transformation workflows that support reporting and self-service analytics.
- Monitor and optimize data workflows for performance, reliability, and scalability.
- Contribute to the evolution of our data architecture and engineering best practices.
Other
- Collaborate with product managers, data scientists, and customer success teams to understand client needs and translate them into technical solutions.
- 2–5 years of experience in data engineering or a related field.
- Experience working with external customers or building customer-facing data solutions is a plus.
- Strong problem-solving skills and a product-oriented mindset.
- Excellent communication and collaboration skills.
