189 applicants

Company

Original Job Post

Slingshot Aerospace · 4 days ago

Senior Data Engineer

United States

Full-time

Remote

Senior Level

$155K/yr - $190K/yr

5+ years exp

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Hiring Manager

JoAnna Rafiner - Jarboe

Insider Connection @Slingshot Aerospace

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Responsibilities

Assist in design, implementation, operations, and improvements to the Data ingest, processing, analytics, and governance Platform

Work with application, data, and science teams to leverage, process, and analyze data through traditional algorithms and evolving AI/ML models and implementations

Proactively support data management/cataloging and governance across the organization through collaboration, documentation, and specific frameworks/tools

Participate in Agile software develop and deployment processes

Mentor junior and mid-level software engineers via pair programming

Perform other duties as assigned (to be less than 10% of the responsibilities listed above)

Executes all position responsibilities in alignment with Slingshot’s core values, mission, and purpose

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.

Data ProcessingBusiness Process ManagementTime-Series SoftwareMicroservices ArchitecturesObservabilityProgramming LanguagesContainerizationKubernetes OrchestrationData LakesAWS S3Data WarehousesOLAP FrameworksData PipelinesStreaming Data SystemsData ManagementAWS ServicesAI/ML FrameworksScalable SaaS/PaaSAWS CertificationsCloud-Agnostic SystemsOn-Prem SystemsDistributed SystemsDoD/Intelligence Community/Federal GovernmentStartup Experience

Required

Bachelor’s degree in computer science, related field, or equivalent experience

5+ years of experience architecting and developing products and solutions for data processing and analytics, business process management, or time-series based software

Strong engineering background, with experience implementing resilient and redundant event-driven microservices architectures with high observability

Proficiency with programming languages such as Python, Java/Kotlin, JavaScript/TypeScript, or similar languages

Significant experience with containerization and Kubernetes orchestration

Demonstrated knowledge with data lakes including AWS S3 implementations

Experience with data warehouses and OLAP frameworks such as Redshift, Pinot, Druid

Experience with data pipelines such as Airflow, Prefect, Argo

Experience working with streaming data systems including Kafka

Experience with data management/catalog framework such as OpenMetadata

Experience with other AWS services such as EC2, EKS, etc.

Skill and comfort working in a rapidly moving startup environment with dynamic objectives and iteration with users