Enterprise Data Engineer – ETL & Integration

About the role

Axiom Space is building for beyond, guided by the vision of a thriving home in space that benefits every human, everywhere. The leading provider of human spaceflight services and developer of human-rated space infrastructure, Axiom Space operates end-to-end missions to the International Space Station today while developing its successor, Axiom Station – a permanent commercial destination in low-Earth orbit. We are seeking a resilient, high-energy, and highly skilled Enterprise Data Engineer to contribute to our data-driven initiatives in a highly complex and fast-moving environment.

This role will focus on building and maintaining ETL pipelines using Alteryx Server, supporting data warehouse integration, and enabling reliable data flows between enterprise systems. The ideal candidate has a strong foundation in data engineering, SQL, and Alteryx, with experience developing and managing production ETL workflows and supporting occasional dashboard and reporting needs.

Responsibilities

• Design, build, and maintain ETL pipelines using Alteryx Server to support data warehouse integration and enterprise system connectivity.
• Support and manage data migration and integration initiatives between various enterprise systems to ensure seamless operations.
• Develop and enhance databases using SQL and Python, ensuring optimized performance and scalability.
• Design and establish robust data models and database mapping systems to perform data verification, cleansing, and enhancement.
• Develop and maintain Power BI dashboards and reports on an as-needed basis to support business stakeholders.
• Collaborate with cross-functional teams to gather detailed requirements and coordinate data remediation activities.
• Perform additional job duties as assigned.

Requirements

This position may require access to export-controlled technical data or technology subject to NASA regulations, International Traffic in Arms Regulations (ITAR), or Export Administration Regulations (EAR). In accordance with U.S. export control laws, final candidates may be required to undergo additional export control screening to determine eligibility for access. Meeting these requirements is a condition of employment.

• Bachelor's degree in Computer Science, Information Systems, Mathematics, Engineering, or a related field.
• At least 3 years of experience in data engineering or a related role within an enterprise environment.
• Hands-on experience with Alteryx or Alteryx Server for ETL development and workflow automation; familiarity with cloud-based data platforms such as Azure Data Factory, AWS Glue, or Snowflake is a plus.
• Strong ability to write and optimize complex SQL queries across various data sources.
• Experience with data warehouse concepts and enterprise system integration.
• Proficiency in Python for data transformation and pipeline support.
• Experience with Power BI or similar visualization tools preferred.
• Familiarity with Agile methodologies preferred.
• Must be willing to work evenings and weekends as needed to meet critical project milestones.

Skills

• Excellent interpersonal skills.
• Excellent communication skills, both verbal and written.
• Excellent organizational skills.
• Result-oriented personality with a creative approach to problem-solving.
• Ability to work in a team environment.
• Self-motivated.

Work Environment & Physical Requirements

• Generally, an office environment, but can involve inside or outside work depending on the task.
• Work may involve sitting or standing for extended periods (90% of the time).
• May require lifting and carrying up to 25 lbs. (5% of the time).
• Standard office equipment (PC, telephone, printer, etc.).