Senior Software Engineer – Data Engineering

Job not on LinkedIn

Yesterday

🌵 Arizona – Remote

Although this job is listed in Arizona, this company may be open to hiring remote in other states.

🏄 California – Remote

Although this job is listed in California, this company may be open to hiring remote in other states.

+27 more states

🌵 Arizona – Remote 🏄 California – Remote ⛰️ Colorado – Remote 🐊 Florida – Remote 🌺 Hawaii – Remote 🌽 Illinois – Remote 🌪️ Kansas – Remote 🦬 Montana – Remote 🎰 Nevada – Remote 🏖️ New Jersey – Remote 🌶️ New Mexico – Remote 🗽 New York – Remote 🌲 North Carolina – Remote 🌲 Oregon – Remote 🦀 Maryland – Remote 🍂 Massachusetts – Remote 🚗 Michigan – Remote ❄️ Minnesota – Remote 🏰 Missouri – Remote ⚓ Rhode Island – Remote 🎸 Tennessee – Remote 🤠 Texas – Remote ⛷️ Utah – Remote 🍁 Vermont – Remote ⚔️ Virginia – Remote ☕ Washington – Remote ⛰️ West Virginia – Remote 🧀 Wisconsin – Remote

💵 $127k - $212k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

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Slingshot Aerospace

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Aerospace • Artificial Intelligence • Security

Slingshot Aerospace is a leading AI and data-driven platform focused on optimizing satellite operations and enhancing space traffic coordination for operators worldwide. Renowned for its innovative solutions in space domain awareness, Slingshot Aerospace provides advanced tools for space security, defense missions, training, and market analysis. The company's comprehensive offerings include space object tracking, AI-driven training agents, and astrodynamics services. Through its Global Sensor Network and sophisticated data fusion techniques, Slingshot transforms disparate space data into actionable insights, improving operational efficiency and reducing risks in an increasingly complex orbital environment. Trusted by government and commercial space operators, Slingshot Aerospace is committed to making the space domain safe, sustainable, and secure for future generations.

51 - 200 employees

Founded 2020

🚀 Aerospace

🤖 Artificial Intelligence

🔐 Security

💰 $25.2M Grant on 2022-03

📋 Description

• Design, build, and maintain high-performance ETL pipelines using Python, MongoDB, and AWS EKS, supporting the ingestion and processing of 20–30GB of satellite data daily. • Develop and maintain scalable APIs and services for data ingestion, transformation, and export to customers. • Optimize data workflows to improve throughput, latency, and system uptime, ensuring reliable data delivery at scale. • Build and maintain monitoring, alerting, and performance dashboards using Datadog for proactive system health tracking and fault resolution. • Collaborate with engineering, product, and operations teams to deliver mission-critical data systems that meet customer needs. • Contribute to the architecture, automation, and observability of cloud-native systems, following industry best practices. • Support the strategic transition of workloads to Databricks and PostgreSQL, helping modernize and scale our data platform. • Promote coding standards, participate in technical planning, and help drive continuous improvement across the engineering organization. • Engage with internal stakeholders and external customers to ensure successful outcomes and alignment with business goals.

🎯 Requirements

• 5+ years of experience in software or data engineering • Proficiency in Python and experience building high-performance data processing systems • Strong experience with MongoDB; familiarity with PostgreSQL and Databricks • Solid understanding of ETL pipelines, data transformation, and large-scale data management • Experience developing in Linux environments, including containerized deployments using Docker and Kubernetes in AWS • Experience with source control systems (e.g., Git) and CI/CD workflows • Experience building and debugging distributed data pipelines using Databricks, Apache Spark, or similar platforms • Familiarity with MongoDB change streams and streaming frameworks like RabbitMQ or Kafka • Strong written communication skills and ability to produce clear technical documentation • Self-starter with the ability to work independently and collaboratively in a fast-paced, remote environment • Ability to travel up to 10% of the time.