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Description:
Telnyx is seeking a Business Intelligence Engineer to join the Revenue Operations team in a remote capacity.
The role involves designing and owning the data architecture for the Telnyx Growth organization.
The engineer will reshape the growth data infrastructure using expertise in SQL, Python, and modern data tooling.
Responsibilities include collaborating with the data engineering team to build data infrastructure, developing ETL pipelines, ensuring data quality and governance, and integrating data with Tableau.
The engineer will work with cross-functional teams to understand data needs and translate business requirements into technical specifications.
The position requires autonomous project management and a commitment to continuous improvement in data practices.
Requirements:
A minimum of 2 years of hands-on experience in data engineering, analytics engineering, or BI development is required.
Proficiency in SQL is essential, with the ability to write complex queries and optimize them for performance.
Experience in programming with Python or a similar scripting language for data processing tasks is necessary.
Direct experience with Tableau is a significant plus, along with familiarity with other BI tools.
A solid understanding of data modeling concepts and experience structuring a data warehouse or analytics database is required.
Familiarity with data governance principles and practices ensuring data accuracy and consistency is important.
The candidate must demonstrate autonomy and drive, managing time effectively and delivering results independently.
Strong collaboration and communication skills are necessary to work with non-technical stakeholders.
Willingness to overlap at least 5 hours daily with US Central Time (CST) business hours is required.
A Bachelorโs degree in Computer Science, Data Science, Engineering, or a related field is preferred but not strictly required if practical experience is equivalent.
Benefits:
The position offers the opportunity to work in a financially stable and profitable company that invests in pioneering technologies.
Employees are encouraged to foster an environment of continuous learning and growth.
The role allows for significant autonomy and the ability to shape data infrastructure from the ground up.
Team members can contribute to an industry-shaping company while growing their own skills and careers.
The company promotes a collaborative work environment with cross-functional teams.