Sierra · 5 months ago
Data Engineer
San Francisco, CA
Full-time
Onsite
Mid Level
$220K/yr - $340K/yrSierra is creating a platform to enhance customer experiences with AI, and they are seeking a Data Engineer to help build the company's data strategy and infrastructure. The role involves designing and operating scalable data systems, ensuring access to high-quality data for decision-making, and establishing the foundations of Sierra's data ecosystem.
Artificial Intelligence (AI)Enterprise SoftwareSaaS
Responsibilities
Sierra is in the process of building out its core data foundations, and you’ll play a pivotal role in shaping the company’s data strategy and infrastructure
Partnering with engineering, product, and GTM teams, you’ll design and operate scalable batch and real-time data systems, create trusted data models, and build the pipelines that power experimentation, analytics, and AI development
You’ll ensure that every area of the business—from customer experience to go-to-market execution—has access to high-quality, reliable data to drive insight and innovation
Beyond infrastructure, you’ll influence how data is captured, governed, and leveraged across Sierra, empowering decision-making at scale
This is a unique opportunity to establish the foundations of Sierra’s data ecosystem, drive standards for reliability and trust, and enable the next generation of AI-powered customer interactions
Qualification
Required
Extensive experience in data engineering, with a track record of designing and operating data pipelines, systems, and models at scale
Passion for building trustworthy data systems that empower teams to better understand users and deliver impactful product experiences
Comfort working in a fast-paced startup environment, able to adapt to evolving priorities and deliver reliable solutions amidst ambiguity
Strong proficiency in SQL and Python, with expertise in distributed data processing frameworks (e.g., Spark, Flink, Kafka) and cloud-based platforms (AWS, GCP)
Deep experience with data modeling, warehousing, and designing schemas optimized for analytics, experimentation, and AI/ML workloads
Strong understanding of data validation, monitoring, compliance, and best practices for ensuring data integrity across pipelines
Ability to translate technical infrastructure and data design trade-offs into clear recommendations for product, engineering, and business stakeholders
Proven ability to partner closely with product, ML, analytics, and GTM teams to deliver data foundations that unlock business and product innovation
Preferred
Experience with (open to equivalents) - AWS Glue, Athena, Kafka, Flink/Spark, dbt, Airflow/Dagster, Terraform
Experience working with large language models (LLMs), conversational AI, or agent-based systems
Familiarity with building or improving data platforms for advanced analytics
Benefits
Flexible (Unlimited) Paid Time Off
Medical, Dental, and Vision benefits for you and your family
Life Insurance and Disability Benefits
Retirement Plan (e.g., 401K, pension) with Sierra match
Parental Leave
Fertility and family building benefits through Carrot
Lunch, as well as delicious snacks and coffee to keep you energized
Discretionary Benefit Stipend giving people the ability to spend where it matters most
Free alphorn lessons
Company
Sierra
Sierra provides a platform that builds and manages conversational AI agents for customer experiences.
Founded in 2023
201-500 employees
H1B Sponsorship
Sierra has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (11)
2024 (2)
Funding
Current Stage
Growth StageTotal Funding
$635MKey Investors
SoftBank Vision FundGreenoaks
2025-12-04Series Unknown
2025-09-04Series Unknown· $350M
2024-10-28Series Unknown· $175M
Leadership Team
Bret Taylor
Co-Founder
Recent News
2026-01-13
GlobeNewswire
2026-01-06
Company data provided by crunchbase