Customer Data Engineer (Associate)

Qualifications

• Bachelor's degree in Computer Science, Information technology or a related field
• 3- 5 years of relevant experience in data engineering, with a strong focus on data integration and ETL/ELT processes
• Demonstrated ability to work directly with external enterprise customers in a technical capacity
• Proficiency in programming languages commonly used for data engineering (e.g., Python, Java, Scala) and strong SQL skills
• Experience with various data integration tools, platforms, and methodologies (e.g., APIs, message queues, cloud integration services, data warehousing concepts)
• Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and their data services
• Excellent problem-solving, analytical, and debugging skills in complex distributed systems
• Exceptional communication and interpersonal skills, with the ability to explain technical concepts to diverse audiences
• Ability to work independently, manage multiple priorities, and thrive in a dynamic, fast-paced environment
• Ability to travel up to 25% of the time in support of customer integration

Responsibilities

• Act as technical point of contact for enterprise customers and partners during integration and onboarding
• Collaborate directly with customer information technology teams, data stakeholders, and technical personnel to understand their systems, data sources, and integration needs
• Analyze customer technology stacks and data architectures to design optimal integration solutions
• Contribute to the continuous improvement of our internal integration frameworks, tools, and methodologies based on customer feedback
• Design, develop, and implement robust, scalable, and secure data pipelines to ingest, transform, and load customer data (e.g., GIS, imagery) from various sources into Tapestry’s platform
• Develop custom connectors, scripts, and automation tools as needed to facilitate seamless data exchange between customer systems and Tapestry’s platform
• Ensure data quality, integrity, and consistency throughout the integration lifecycle
• Work cross-functionally with Tapestry’s internal Product, Engineering, and Advance teams to champion customer needs and influence product roadmap decisions
• Directly impact the speed and efficiency of data ingestion, ultimately leading to faster time-to-value for partners and customers

Full Description

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Job Summary:

X, The Moonshot Factory is incubating Tapestry, a project aimed at revolutionizing the electric grid. They are seeking a Customer Data Engineer to integrate customer data with Tapestry’s technology platform, enhancing customer success and satisfaction.

Responsibilities:

• Act as technical point of contact for enterprise customers and partners during integration and onboarding

• Collaborate directly with customer information technology teams, data stakeholders, and technical personnel to understand their systems, data sources, and integration needs

• Analyze customer technology stacks and data architectures to design optimal integration solutions

• Contribute to the continuous improvement of our internal integration frameworks, tools, and methodologies based on customer feedback

• Design, develop, and implement robust, scalable, and secure data pipelines to ingest, transform, and load customer data (e.g., GIS, imagery) from various sources into Tapestry’s platform

• Develop custom connectors, scripts, and automation tools as needed to facilitate seamless data exchange between customer systems and Tapestry’s platform

• Ensure data quality, integrity, and consistency throughout the integration lifecycle.

• Work cross-functionally with Tapestry’s internal Product, Engineering, and Advance teams to champion customer needs and influence product roadmap decisions

• Directly impact the speed and efficiency of data ingestion, ultimately leading to faster time-to-value for partners and customers

Qualifications:

Required:

• Bachelor's degree in Computer Science, Information technology or a related field. A Master's degree in a related field is a plus.

• 3- 5 years of relevant experience in data engineering, with a strong focus on data integration and ETL/ELT processes

• Demonstrated ability to work directly with external enterprise customers in a technical capacity

• Proficiency in programming languages commonly used for data engineering (e.g., Python, Java, Scala) and strong SQL skills

• Experience with various data integration tools, platforms, and methodologies (e.g., APIs, message queues, cloud integration services, data warehousing concepts).

• Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and their data services

• Excellent problem-solving, analytical, and debugging skills in complex distributed systems

• Exceptional communication and interpersonal skills, with the ability to explain technical concepts to diverse audiences

• Ability to work independently, manage multiple priorities, and thrive in a dynamic, fast-paced environment

• Ability to travel up to 25% of the time in support of customer integration

Preferred:

• Passion for the energy and climate space

• Working knowledge or background in power systems, though not required, would be a plus

• Experience handling Geographic Information System (GIS) data and imagery

• Ability to influence without authority, working with technical and cross-functional teams within and outside the organization to get things done

• Fast learner with capacity to learn about a wide-spread of different technologies

• Experience working in a startup-like environment

Company:

X, the moonshot factory invents and launches breakthrough technologies and radical solutions. It is a sub-organization of Alphabet. Founded in 2010, the company is headquartered in Mountain View, California, USA, with a team of 201-500 employees. The company is currently Growth Stage.