Job Description

APiJET is a Seattle-based pioneer in real-time aircraft data analytics and software products. Our team works with advanced algorithms and data streams to uncover hidden efficiencies that enable our customers to operate more efficiently and reduce their environmental footprints. We work across diverse data sets spanning public source and private aerospace data, searching for meaningful patterns to drive our platform. If you want something new and challenging the status quo, check us out!

As a Data Engineer, you will build and maintain ETL systems within AWS, utilizing in-house and cloud-specific tooling. You will develop and improve the data lake, data collection systems, data integrity, and other strategic systems that support the data science team, the customer, and the business. Your contribution will be key to the success of the company!

Duties and Responsibilities:

Build and support data systems and pipelines by:

• Cleaning and transforming raw data (internally and externally sourced) to be ingested by reports and applications.
• Implementing data mart tools to facilitate data mining and curation needs.
• Optimizing and automating ETL processes.

Enhance data quality and reliability by:

• Analyzing and organizing data, including ad-hoc request fulfillment and deep data exploration.
• Implementing, monitoring, and alarming on ETL pipelines and bad data.
• Generating reports on data quality and anomalies.

Collaborate with data scientists and software architects on data exploration projects by:

• Developing analytical tools and programs to support the data team.
• Extracting and preparing data based on requirements and specifications.

Required Skills and Abilities

• 3+ years previous experience as a data engineer or a similar role.
• 3+ years implementing data models, data mining, data pipelines, and similar activities.
• 2+ years in Python programming (PySpark, Pandas, and AWS-related data-wrangling tools).
• 3+ years working with AWS services to deliver quality, reliable, and timely data pipeline solutions.
• 2+ years supporting containerized and serverless pipelines.
• 2+ years working with large datasets.

Soft Skills:

• Comfortable in an Agile task management environment (Atlassian Suite, Agile methodologies).
• Ability to work with ambiguous requirements.
• Clear written and verbal communication. Being hybrid, asynchronous communication is a necessity.
• A people person, collaboration is a must!

Educational and Physical Requirements

• Must have a bachelor's degree in computer science, a related field, or equivalent experience.
• Must be a U.S. Person (U.S. Citizen or Green Card holder).
• The company is headquartered in Seattle, Washington, and this position must reside within a 30-mile radius of Seattle due to the hybrid nature of the role.

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