Steno

Compensation

Full Description

Who are you? We're looking for a self-starter who is effective in managing their time in remote working environments. If you love solving data problems and collaborating with others to turn raw data into actionable insights then this role is for you! This is a fast-paced environment, but an amazing opportunity for someone who wants to join a growing tech team at a mid-stage start-up and have a direct impact on building and enhancing our data infrastructure! If you’re looking for a company that offers support, guidance, an abundance of killer giphys, and unlimited potential to grow into your best self, you can bet we’d love to have you too. On a regular basis you will Take ownership of Steno’s analytics data model, which includes Designing and building dbt data models that serve both traditional batch and real-time analytics needs Implementing dbt tests to ensure high data quality throughout our data models Creating custom ingestion pipelines for nonstandard data sources leveraging external APIs Collaborate with Data Analysts and business stakeholders to understand data requirements across business units Assist Data Analysts and business stakeholders in learning how to properly use the data models you create Build and refine data engineering processes and best practices based on project experiences Optimize Snowflake queries and warehouse performance for cost efficiency Stay informed about the latest trends within the modern data space and explore ways to leverage those trends to continuously improve our data stack Serve as a mentor to other Analytics Engineers and Data Analysts Establish and document data/analytics engineering standards and best practices across the organization You’re gonna crush it if You love solving problems and collaborating with others to solve those problems You've become familiar with the downsides of both under-engineering and over-engineering and developed an appreciation for working pragmatically You seek clarity, and as much simplicity as the underlying problem domain will allow You are well organized, able to manage time effectively, and comfortable working through sometimes incomplete designs and product specs You're enthusiastic about defining and cultivating a data-driven company culture that instills a spirit of continuous improvement in analytics capabilities and data literacy across all departments and functions. You are humble and recognize no one or system is perfect, and you see mistakes being made as an opportunity for improvement You are not easily flustered if someone takes a different approach to solving the same problem You are bothered by seeing the same business logic in SQL copy and pasted You enjoy optimizing queries and the underlying data model to drive performance increases You have strong technical leadership abilities and enjoy mentoring and guiding others You can think strategically about data architecture and make decisions that balance immediate needs with long-term platform goals You're skilled at cross-functional collaboration and can influence technical decisions across teams Some requirements You have advanced experience with dbt Core, git, Snowflake, and other common tools found within the modern data stack, including complex macros, packages, and CI/CD pipelines You have 5+ years of experience with writing SQL queries in an analytical environment At least 4-7 years of analytics engineering or data engineering experience You have experience creating data models adhering to data warehouse design patterns and dimensional modeling You have a demonstrated track record of delivering well-engineered data solutions with modern technologies You are effective at communicating with both technical and non-technical stakeholders Bonus points if you have worked in one or more early-stage startups! Compensation & Benefits Salary - $160,000 - $200,000 Health, Vision, & Dental Benefits - low-cost health plans that free up mind space and unlock our employees' best work Wellness/Mental Health - shared benefits to be used among employees and families Flexible Paid Time Off - allowing employees to find balance in their lives Options of Equity - we know our success is nothing without our team Access to a company-provided 401(k) account A home office setup and a monthly stipend to offset internet and phone costs Our Team Steno’s Data team is a small but mighty, highly reliable, and constantly innovative group. We work hand-in-hand with Engineering, Product, and individual business units to execute new ideas and solutions. Our team is also humble and each individual recognizes that no one or one system is perfect; we see errors as an opportunity for improvement! We operate under a hub-and-spoke analytics organization structure, consisting of a core Data team that is responsible for the technical heavy lifting and data modeling, and Analytics Partners that consist of Data Analysts and functional experts throughout the company. We strive for a data driven culture where the individual business teams are empowered to query and analyze their own data, which can only happen if there is a strong foundation for them to query on. About Steno Founded in 2018 and growing fast! Values: be highly reliable, constantly innovate, operate with a hospitality mindset Diverse backgrounds welcome! Steno employees have a unique blend of legal, technology, operations and finance experience We are revolutionizing the litigation and court reporting industry Flexible deferred payment options (e.g., DelayPay) Cutting-edge technology - unique products and integrations to maximize the output of legal professionals White-glove, concierge customer service that our clients rave about Application Information Steno is an equal opportunity employer and does not discriminate based on any characteristics that are protected under the law. All employment decisions are based on qualifications, merit, and business needs. Applicants needing special assistance or accommodations for interviews or website access should contact us at accommodations@steno.com. Steno personnel will always have either a steno.com email address or will contact you via Rippling Recruiting. Act with caution if asked for personal information. Background checks, for example, are only conducted after an offer is extended. Applicants should receive a confirmation email immediately after applying. If you haven’t received it, check your email spam folder and approve the sender address to ensure receipt of future communications. Information provided to Steno, such as professional credentials and skills, educational and work history, the results of technical skills assessments or working exercises, and other information that may be included on a resume or application, is collected and stored in our system. Still, we never disclose or sell your personal information.