Wheels Up · 5 hours ago

Sr. Data Science Engineer

United States

Full-time

Remote

Senior Level

$115K/yr - $165K/yr

5+ years exp

Maximize your interview chances

AerospaceAir Transportation

Insider Connection @Wheels Up

Discover valuable connections within the company who might provide insights and potential referrals.
Get 3x more responses when you reach out via email instead of LinkedIn.

Responsibilities

Designs, builds and maintains resilient data applications in Python and NodeJS

Manages and optimizes the deployment of containers in Kubernetes on Azure

Develops monitoring, alerting, and diagnostics systems, including Datadog alerts, events, and log monitoring, to ensure high-quality product delivery

Maintains and improves existing Datadog logs, events, and alerts to enhance monitoring and diagnostics capabilities

Collaborates with engineers, product managers, and data scientists to identify the needs on a cross-functional team and develop data-driven solutions

Solves challenging data integration problems utilizing optimal ETL patterns, frameworks, query techniques, and sourcing from structured and unstructured data sources

Optimizes pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts Keep up to date with the latest Azure and Kubernetes features and best practices, and adopt them to optimize DSE software systems

Perform other duties as assigned

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

PythonSQLKubernetesAzureDockerData ScienceMachine LearningData PipelinesJavaScriptETLMonitoring SystemsCross-functional Collaboration

Required

Bachelor’s in Computer Science, Data Science, Statistics, or a related field (Masters or Ph.D. preferred)

Minimum five years of experience in developing scalable, resilient, data-intensive applications or a related role

Extensive experience with containerization technologies such as Docker and container orchestration platform Kubernetes

Ability to design, implement and maintain cloud-based architectures using Kubernetes on Azure

Strong programming experience in production environments using Python, SQL (and preferably JavaScript)

Benefits

401(k) with generous company contributions up to 6%

Paid time off including vacation, holidays, paid personal time, maternity and parental leave

Comprehensive health benefits including medical, dental, vision, short/long term disability and life benefits

Family care assistance through fertility support, surrogacy and adoption assistance, lactation support and programs that help with loved ones in all stages

Total Personal Well-being programs to support physical, emotional, social, and financial health, including access to an employee assistance program offering support for you and anyone in your household, free financial coaching, and extensive resources supporting mental health

Career development programs to achieve your long-term career goals