Enterprise Data Engineer – ETL & Integration

SUMMARY

Since Axiom Space is a highly complex and fast-moving environment, we are seeking a resilient, high energy, and highly skilled Enterprise Data Engineer to contribute to our data-driven initiatives. 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. You will design, build, and maintain scalable data pipelines, perform data cleansing and transformation, and support data migration efforts across the organization. This role works in close partnership with fellow Data Engineers, Analysts, and business stakeholders to ensure alignment with defined standards, priorities, and governance.

• 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.

• 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.

Work Environment:
Generally, an office environment, but can involve inside or outside work depending on the task.

• 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.
• Management has the prerogative to select at any level for which the position is advertised.
• Must be willing to work evenings and weekends as needed to meet critical project milestones.

• 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).
• Equipment and Machines:
  Standard office equipment (PC, telephone, printer, etc.).

• Excellent interpersonal skill
• Excellent communication skill, 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

• Ethics – Treats people with respect; keeps commitments; inspires the trust of others; works with integrity and principles; upholds organizational values.
• Problem Solving – Identifies and resolves problems in a timely manner; gathers and analyzes information skillfully; develops alternative solutions; works well in group problem solving situations; uses reason even when dealing with emotional topics.
• Organizational Support – Follows policies and…