Senior Data Engineer - Platform

Key Skills

Aartificial intelligence, AWS, Business Process Management (BPM), Data oriented design- DoD, Machine learning techniques, PaaS, SaaS

Job Description

As a Senior Data Engineer, you will work with the Platform team to design and build scalable, reliable, and maintainable solutions that contribute to Slingshot Aerospace’s product offerings. You will be involved in every part of solution development, from ideation and design to development and deployment. You will work closely with other teams to find, evaluate and leverage new technologies and solve complex problems.

Position 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

Pre-Requisites

• Must be eligible to obtain or maintain US Government Security Clearance

Minimum Requirements

• 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.

Preferred Skills

• Use of AI/ML frameworks such as Ray/KubeRay
• Scalable SaaS/PaaS Experience
• Professional AWS certifications
• Familiar with building cloud-agnostic, on-prem capable distributed systems
• DoD / Intelligence Community / Federal Government experience a plus but not required
• Early-stage data-centric startup experience

These skills are guidelines, not hard and fast rules. You don’t have to meet every qualification listed- if your skills are transferable and you meet the minimum requirements, we encourage you to apply.

Location: Remote, United States

Salary Range: $155,000-$190,000