Senior Software Engineer, Data & Analytics

Our Mission at Scythe

Humanity has lost touch with nature - we’ve traded dirt and trees for asphalt, and we rely on loud, polluting, gas-powered machines to care for our limited natural spaces.   Scythe is forging a new future by building intelligent, all-electric machines that unlock a new superpower: the ability to care for the outdoors pollution-free at enormous scale. From today’s first steps in landscape maintenance to full-fledged re-terraforming in the future, Scythe is pioneering autonomous machinery that supports the ingenuity of humans, multiplying our power to nurture our planet.   At Scythe, you’ll work with a team of world-class experts in everything from computer vision to mechanical engineering, pushing the limits of possibility and growing by overcoming hurdles along the way.    The world needs what we’re building—come join us in making it a reality.

Senior Software Engineer, Data & Analytics at Scythe

As a Senior Software Engineer in Data Engineering, you will design, implement, and optimize data pipelines and workflows that enable the company to process and analyze data from our robots and operations at scale. You will work extensively with Python, Dagster, AWS cloud services, and Kubernetes to build reliable and scalable systems that help Scythe be more effective through data-driven decisions. Experience in robotics or large-scale data systems is a strong plus, as you'll work closely with engineers building those cutting-edge systems.

You will also work in concert with teammates from across the company to build a rich understanding of product needs and bring those ideas to life. We're looking for an experienced engineer who has built and maintained substantial systems themselves and expect you to be broadly experienced to be able to “see around corners,” thrive in a fast-paced, self-managed engineering environment, and be a collaborative, low-ego teammate who helps Scythe realize its big mission. 

What you’ll do at Scythe  

• Design and develop scalable data pipelines using Python and Dagster
• Architect and maintain workflows for processing, analyzing, and storing large datasets
• Collaborate with cross-functional teams, including robotics, software, and data analytics, to define system designs and deliver high-quality solutions
• Leverage AWS cloud services (e.g., S3, Lambda, RDS, DynamoDB) to build scalable, reliable, and cost-effective data systems
• Manage and optimize Kubernetes-based infrastructure for data workflows and applications using terraform, helm, and ArgoCD
• Monitor, troubleshoot, and improve system performance, reliability, and scalability

What you know well

• Programming in Python and its data engineering ecosystem, such as Pandas or PySpark
• Dagster or other orchestration tools (e.g., Apache Airflow, Prefect)
• AWS cloud services, including compute, storage, and networking solutions
• Managing containerized applications and orchestration using Kubernetes and AWS Fargate
• CI/CD pipelines, infrastructure as code, and DevOps best practices
• Experience with SQL and GraphQL

What you've maybe done

• Designed data modeling strategies
• Built data ingestion and analytics services from scratch
• Led a team of engineers to develop data and analytics systems
• Worked with robotics, IoT, or other hardware that produces lots of data
• Worked with MQTT, Zenoh, or other IoT device-to-cloud communication systems
• Worked with Tableau, Looker, or other BI systems
• Programmed with Rust, C++, Zig, or other compiled languages

Why Scythe?

• Scythe is an early-stage but well-capitalized startup. Have a huge impact alongside an awesome team of experts shipping something the world has never before seen
• Competitive salary and equity compensation
• Fully-sponsored medical, vision, and dental insurance, including 75% funded dependent coverage
• 401(k) retirement plan (non-matching today)
• Headquarters in beautiful Longmont, CO (near Boulder, CO.) Enjoy the bounties of nature and open spaces close to home with mountain biking, hiking, skiing and more.
• Satellite offices in Dallas, TX and Fort Pierce, FL 
• Flexible paid time-off and hybrid work available
• Highly collaborative learning culture where personal freedom, growth, and responsibility are valued
• An opportunity to have an incredible positive impact on the world

Closing

Scythe is a total compensation company, which provides employees a comprehensive salary, equity, and benefit package. However, only the minimum salary amounts are listed here. Scythe carefully considers a wide range of compensation factors, including education, years of experience, competencies and other relevant business considerations. These considerations can cause your compensation to vary along with your compensation mode preferences. The Senior Software Engineer, Data & Analytics role has an expected minimum annual cash salary of $135,000. The actual pay may be higher depending on your skills, qualifications, and experience. Equity and benefits packages are NOT included in this estimate. Please note that this information is provided for those hired in Colorado only, and this role is open to candidates outside of Colorado as well.

Scythe is an Equal Opportunity employer committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, national origin, sex, sexual orientation, gender identity, disability, protected veteran status or any other factor protected by applicable local, state or federal laws.