Data Engineer: Aviation Analytics & Data Pipelines

Delta Airlines; Augusta (ME); Remote; USD 26,139 - 37,229; Full time

Job summary

Delta Airlines in Maine, USA is seeking a Data Engineer to extract and prepare data for analysis and models. You will clean and curate datasets, identify the best data sources, and create meaningful data hierarchies for business insights.

You will collaborate across data environments to improve automated reviews, share analytics with leaders, and drive cross-divisional data initiatives while mentoring teammates and upholding safety standards.

Qualifications

• Bachelor’s or higher in a quantitative field with 3+ years of related experience.
• Strong SQL ability and experience with ETL/ELT patterns.
• Programming in Python, SAS or similar data tools.

Responsibilities

• Discover and extract data from a range of resources for analysis and models.
• Clean and curate datasets, assess sources, and aggregate into meaningful hierarchies.
• Work with data environments to enhance automated reviews and analyses.
• Apply emerging tech to share data analytics with stakeholders.
• Support process improvements and cross-divisional data initiatives.
• Teach and mentor team members across skills and topics.
• Follow safety and security practices in all data operations.
• Maintain a team‑first attitude and align with organizational goals.
• Be curious, ask questions, and contribute ideas proactively.
• Adapt to a high‑profile environment with shifting priorities and tight deadlines.

Skills

SQL proficiency

ETL/ELT patterns

Python or SAS

Education

Bachelor’s degree or certificate in computer science / data science

Job description

Delta Airlines in Maine, USA is seeking a Data Engineer to extract and prepare data for analysis and models. You will clean and curate datasets, identify the best data sources, and create meaningful data hierarchies for business insights.

You will collaborate across data environments to improve automated reviews, share analytics with leaders, and drive cross-divisional data initiatives while mentoring teammates and upholding safety standards.