Staff Data Engineer

Laurel is on a mission to return time. As the leading AI Time platform for professional services firms, we’re transforming how organizations capture, analyze, and optimize their most valuable resource: time. Our proprietary machine learning technology automates work time capture and connects time data to business outcomes, enabling firms to increase profitability, improve client delivery, and make data-driven strategic decisions. We serve many of the world's largest accounting and law firms, including EY, Aprio, Crowell & Moring, and Frost Brown Todd, and process over 1 billion work activities annually that have never been collected and aggregated before Laurel’s AI Time platform. Our team comprises top talent in AI, product development, and engineering—innovative, humble, and forward-thinking professionals committed to redefining productivity in the knowledge economy. We're building solutions that empower workers to deliver twice the value in half the time, giving people more time to be creative and impactful. If you're passionate about transforming how people work and building a lasting company that explores the essence of time itself, we'd love to meet you. About The Role Laurel's infrastructure, data, and security team is lovingly named the Time Owls. We make Laurel's infrastructure more reliable, secure, and easy to use. Our team builds and maintains the tools, platforms, and automation that enable engineers across the company to work with AWS, Kubernetes, and other services easily and safely. We contribute to all applications in the company and act as both best‑practice advocates and policy enforcers. This role sits at the intersection of infrastructure and AI. You'll work closely with our AI engineers and data scientists, focusing on making their work fast, efficient, scalable, and secure. You'll own data pipelines, model‑serving infrastructure, and the systems that move data reliably through our platform—from ingestion through to production inference. If you are more interested in general infrastructure than data and ML systems, please check out our Platform Engineering role. Responsibilities Design and evolve Laurel's global large scale data platform architecture Design and operate large-scale data pipelines processing millions of events per day. Define best practices for data ingestion, transformation, processing, and storage. Mentor and help grow team and our knowledge of big data best practices along with encouraging modern techniques Work on Python API services (Django) to improve the serving of our AI infrastructure. Build, improve, and maintain Airflow DAGs, and optimize MongoDB and PostgreSQL usage for data workloads. Design and operate streaming data infrastructure, including migrations to modern event-driven architectures (e.g., Kafka). Work on internal OLAP and DataLake systems (e.g. Clickhouse) Develop and manage Kubernetes, Docker, and compute infrastructure for all of engineering. Improve continuous integration, continuous deployment, and other automation. Write backend code to help teams deliver functionality when there are deadlines or resource constraints. Attend quarterly offsites (required travel), team standups, and other company meetings. Raise the bar for engineering quality and advocate for best practices across the organization. What We're Looking For Strong Python skills with experience building and deploying APIs to support AI/ML teams in delivering models to end users. Experience with Airflow, Kubernetes, and AWS. Experience with machine learning infrastructure and large language models. Development experience with Terraform. Experience working in startup environments. Experience participating in a regular engineering on-call rotation. Experience with PostgreSQL and MongoDB. Experience with OLAP systems (Snowflake, Clickhouse, etc) Experience with AI Specific Databases (Vector Databases for example) Experience with event streaming platforms (e.g., Kafka, SQS). Nice to Haves Experience with Argo (Workflows and/or CD). Experience with cdk8s. Experience with OpenTelemetry and observability platforms (e.g., Observe, Datadog). Experience with Spacelift. Experience with CircleCI and/or GitHub Actions. Experience with TypeScript and Go. Flexibility and Logistics Location: This role is remote, with preference for candidates based near our hubs in San Francisco, Los Angeles, or New York City. Additional Benefits: Comprehensive medical/dental/vision coverage with covered premiums, 401(k), and additional benefits including wellness, commuter, and FSA stipends. Visa Sponsorship: Unfortunately, we are unable to sponsor visas at this time. What happens if my kid or I are sick on a workday? Take all the time you need! We'll cover for you. And send you some soup. Why join Laurel To date, we've secured significant funding from renowned venture capitalists (Google Ventures, IVP, Anthos, Upfront Ventures), as well as notable individuals like Marc Benioff, Gokul Rajaram, Kevin Weil, and Alexis Ohanian A smart, fun, collaborative, and inclusive team Great employee benefits, including equity and 401K Bi-annual, in-person company off‑sites, in unique locations, to grow and share time with the team An opportunity to perform at your best while growing, making a meaningful impact on the company's trajectory, and embodying our core values: understanding your "why," dancing in the rain, being your whole self, and sanctifying time We encourage diverse perspectives and rigorous thinkers who aren't afraid to challenge the status quo. Laurel is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. We are not able to support visa sponsorship or relocation assistance. If you think you'd be a good fit for this role, we encourage you to apply, even if you don’t perfectly match all the bullet points in the job description. At Laurel, we strive to create an inclusive culture that encourages people from all walks of life to bring their unique, diverse perspectives to work. Every day, we aim to build an environment that empowers us all to do the best work of our careers, and we can't wait to show you what we have to offer! Compensation Range: $200K - $250K #J-18808-Ljbffr