Remote Tech Support Data Engineer

Description:

• The Tech Support Data Engineer position at Boldr is part of the Customer Engineers team in Professional Services, focusing on ensuring the success of projects and customers by utilizing technology and data effectively.
• The role involves being the technical point of contact for customers, collaborating with various teams, and translating business requirements into technical solutions.
• Responsibilities include setting up ETL pipelines, creating a unified Data Model, enabling new product features, troubleshooting customer issues, and participating in the on-call rotation.
• The position also involves addressing repeatable issues through automation, contributing to documentation, and providing feedback to product and engineering teams.

Requirements:

• Must hold a BS degree in Computer Science, Engineering, Mathematics, Economics, Statistics, Information Management, or a related field.
• Should have at least 2 years of experience in roles involving managing and manipulating large data sets like ETL, Data Warehousing, Analytics, or Data Science.
• Need to have 2+ years of experience in a client-facing role, serving as a point of contact for both technical and non-technical users.
• Proficiency in at least one programming language, along with working knowledge of SQL and Unix command line tools, is required.
• Familiarity with Github and AWS infrastructure is necessary.
• Strong problem-solving skills, communication skills, an improvement mindset, professionalism, and work ethic are essential.
• Nice to have: Working knowledge of Java and/or Scala, experience in the marketing technology industry, and relevant vendor knowledge.

Benefits:

• Opportunity to work with a global team dedicated to creating meaningful connections and impactful work.
• Chance to contribute to Boldr's growth and purpose by giving your best and championing core values.
• Exposure to diverse projects and collaboration with different teams to deliver on customer technical requests.
• Continuous learning and development opportunities in a dynamic and ambitious environment.
• Involvement in building tools for automation and contributing to documentation and knowledge base.
• Potential for personal and professional growth through feedback and interaction with various teams.