On April 28, 2021, Avelo took flight as America’s first new airline in nearly 15 years – ushering in a new era of affordable, convenient, and reliable air travel. Founded and led by airline industry veteran, Andrew Levy, along with a team of world-class airline executives, we endeavored to build a different and better kind of airline with one mission in mind: “To inspire travel” and we’ve done so with industry-leading reliability and a caring Soul of Service. If you are looking for the opportunity to join a new and exciting airline that offers the chance to make your mark on aviation history, keep reading!

Purpose: The Data Engineer contributes to the design, development, and operation of the data infrastructure that powers our analytics and AI capabilities. Microsoft Fabric is the centerpiece of this role: you will help build and maintain notebook-based data pipelines, collaborate with analysts and Power BI developers, and grow your skills on a modern cloud data platform. This is a role for someone who is curious, detail-oriented, and ready to develop into a full-stack data engineering practitioner.

Core Responsibilities

1. Pipeline & Notebook Development

• Assist in building and maintaining data pipelines under the guidance of senior engineers
• Write and maintain PySpark, Python, and SQL code for data ingestion, transformation, and loading
• Support implementation of medallion data architecture patterns (e.g., Bronze - Silver - Gold) to deliver clean, reliable datasets to downstream consumers
• Learn and apply software engineering best practices including version control, code review, and automated testing
• Participate in troubleshooting pipeline issues and help identify root causes
• Document data workflows, tables, and processes following established team standards

2. Data Quality & Observability

• Perform routine data quality checks to ensure accuracy, completeness, and consistency of datasets
• Define and implement automated data quality checks embedded directly into pipeline logic
• Support monitoring of pipeline health including data freshness, error rates, and row counts
• Help maintain documentation of data flows, schema changes, and source-system agreements

3. Platform Support

• Assist in maintaining and monitoring the cloud data platform environment
• Configure and enforce workspace-level access controls, row-level security (RLS), data encryption, and compliance policies; partner with IT Security on audit and certification requirements
• Track Fabric product updates and evaluate new capabilities (e.g., Real-Time Intelligence, Direct Lake, Fabric APIs); advocate for adoption where there is clear business value.
• Document all platform configurations, data flows, and operational runbooks in Microsoft Purview; maintain an accurate organizational data catalog and lineage map.

4. Collaboration & Communication

• Partner with analysts and BI developers to understand data requirements and deliver consistent, well-structured, documented datasets
• Translate business questions into defined data tasks with guidance from senior team members
• Participate in code reviews and contribute to shared repositories
• Communicate progress, questions, and blockers clearly to teammates and stakeholders

5. AI-Augmented Development

• Use AI development tools (Claude, Microsoft Copilot) as coding and documentation aids; apply critical review to all AI-generated outputs before committing to production
• Maintain awareness of AI data privacy obligations; escalate concerns to senior team members when appropriate

Education & Experience:

• Bachelor's or Master's degree in Engineering, Computer Science, Mathematics, Data Science, or a related field; or equivalent practical experience
• 1-3 years of hands-on experience in data engineering, analytics engineering, software development, or a closely related technical role
• Demonstrated experience writing SQL queries and Python scripts for data processing or analysis
• Familiarity with at least one cloud data platform (Fabric, Azure, AWS, or GCP) through coursework, projects, or professional work
• Experience with Git or another version control system

Skills & Attributes:

• Solid foundation in SQL; comfortable writing joins, aggregations, and transformations independently
• Working knowledge of Python for data processing or automation tasks
• Understanding of core data concepts: relational vs. warehouse databases, schemas, data types, and basic data modeling
• Strong written and verbal communication; able to ask precise questions and explain your reasoning to both technical and non-technical audiences
• Systematic approach to troubleshooting -- investigates root causes rather than symptoms, and documents findings for future reference
• Genuine curiosity about data infrastructure and eagerness to learn new tools and platform capabilities
• Comfortable operating in a fast-moving environment where tools, features, and priorities evolve

X Factors:

Strong candidates will stand out in one or more of the following areas:

• Hands-on experience with Microsoft Fabric (workspaces, lakehouses, warehouses, or notebooks)
• Familiarity with the Azure data stack: Azure Data Factory, Azure Synapse Analytics, or Azure Data Lake Storage
• Experience with PySpark or distributed data processing frameworks (Databricks, Spark)
• Exposure to medallion architecture or equivalent layered data design patterns (Bronze/Silver/Gold)
• Familiarity with Microsoft Purview for data cataloging, lineage, or governance
• Exposure to real-time or near-real-time ingestion patterns (Eventstream, Kafka, Event Hubs)
• Experience in a regulated or operationally critical industry (aviation, finance, healthcare) where data reliability directly impacts business outcomes
• Prior exposure to AI-augmented or agentic workflows in a data engineering context

May perform other responsibilities as assigned. Responsibilities and duties may change when circumstances dictate (e.g., emergencies, changes in workload, etc.). 

Avelo is an equal opportunity employer.