If you love building clean, scalable data models and get personally offended by copy-pasted SQL logic, this is your role. Steno wants a senior analytics engineer who can own the data model, raise the bar on quality, and help grow a real data culture across the company.
About Steno
Steno (founded in 2018) is modernizing the litigation and court reporting industry with cutting-edge technology and concierge-level customer service. They’re a remote-first, fast-growing team built on reliability, constant innovation, and a hospitality mindset. The work is high-impact, and the data team is small but mighty.
Schedule
- Full-time, salaried (exempt), remote (United States)
- Flexible schedule culture in a remote environment
- Fast-paced startup setting with cross-functional collaboration
What You’ll Do
- Own and evolve Steno’s analytics data model to support batch and real-time analytics needs
- Design and build dbt data models, including complex macros, packages, and scalable patterns
- Implement dbt tests and quality controls to ensure trusted, consistent data
- Build custom ingestion pipelines for nonstandard sources using external APIs
- Partner with Data Analysts and business stakeholders to translate needs into usable data products
- Enable stakeholders to use your models effectively through guidance, documentation, and support
- Optimize Snowflake performance and query cost efficiency
- Establish and document analytics engineering standards and best practices across the org
- Mentor other Analytics Engineers and Data Analysts, leveling up the whole team
- Continuously improve the data stack by tracking modern data trends and applying what matters
What You Need
- Advanced experience with dbt Core, git, Snowflake, and modern data stack tooling (including CI/CD)
- 5+ years writing SQL in an analytical environment
- 4–7 years of analytics engineering or data engineering experience
- Strong foundation in dimensional modeling and warehouse design patterns
- Proven track record delivering high-quality, well-engineered data solutions
- Strong communication skills across technical and non-technical stakeholders
- Pragmatic mindset: you know when to engineer deeply and when to keep it simple
- Bonus: experience in an early-stage startup environment
Benefits
- Salary: $160,000–$200,000
- Health, vision, and dental benefits (low-cost plans)
- Wellness and mental health benefits for employees and families
- Flexible PTO and flexible scheduling culture
- Equity options
- Company-provided 401(k)
- Home office setup support plus a monthly internet/phone stipend
If you want to build a data foundation people actually trust and use, this is the kind of seat that doesn’t open up often.
Bring your dbt brain, your Snowflake discipline, and your “let’s do this right” energy.
Happy Hunting,
~Two Chicks…