Job Details

Overview

Join to apply for the Data Engineer role at Sierra Business Solution.

At Sierra, we're creating a platform to help businesses build better, more human customer experiences with AI. We are primarily an in-person company based in San Francisco, with growing offices in Atlanta, New York, and London.

What You'll Do

• Sierra is building its core data model and foundations. You'll play a pivotal role in shaping the company's data strategy and infrastructure. Partner with engineering, product, and GTM teams to design and operate scalable batch and real-time data systems, create trusted data models, and build pipelines that power analytics, experimentation, and AI agent development.
• Ensure 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. Influence how data is captured, governed, and leveraged across Sierra, enabling decision-making at scale.
• Establish the foundations of Sierra's data ecosystem, drive standards for reliability and trust, and power the next generation of AI-driven customer experiences.

What You'll Bring

• Proven Experience: Strong experience in data or analytics engineering, with a track record of designing, building, and operating pipelines and systems at scale.
• Technical Proficiency: SQL and Python; experience with distributed processing frameworks (e.g., Spark) and cloud platforms (e.g., AWS).
• Data Architecture: Deep knowledge of data modeling, warehousing, and analytics-ready schemas.
• Data Quality & Governance: Understanding of validation, monitoring, compliance, and best practices for ensuring data integrity across pipelines.
• Curiosity & Customer Obsession: Passion for building trustworthy systems that empower teams to understand users and deliver impactful products.
• Adaptability: Comfortable in a fast-paced startup environment with evolving priorities.
• Excellent Communication: Able to explain infrastructure and trade-offs to technical and non-technical stakeholders.
• Collaboration: Ability to partner across product, ML, analytics, and GTM teams to unlock innovation.

Even better…

• Experience with modern data stack tools (dbt, Airflow/Dagster, AWS Glue, Athena, or equivalents).
• Exposure to large language models (LLMs), conversational AI, or agent-based systems.
• Experience building or improving platforms for advanced analytics or experimentation.

Our Values

• Trust: We hold ourselves accountable, act with empathy, and deliver quality and responsiveness.
• Customer Obsession: We deeply understand our customers' goals and focus on outcomes.
• Craftsmanship: We strive for high-quality design and execution in products and systems.
• Intensity: We aim to be the best, fix issues promptly, and learn from failures.
• Family: We support work-life balance and celebrate each other's achievements.

What We Offer

• Flexible (Unlimited) Paid Time Off
• Medical, Dental, and Vision benefits for you and your family
• Life Insurance and Disability Benefits
• Retirement Plan with Sierra match
• Parental Leave
• Fertility and family-building benefits
• Lunch and snacks with coffee
• Discretionary Benefit Stipend
• Equity participation for eligible employees

Be You, With Us

We're working to bring the transformative power of AI to every organization. We value diversity and encourage applicants from all backgrounds. We strive to evaluate all applicants consistently without regard to race, color, religion, gender, national origin, age, disability, veteran status, pregnancy, gender identity or sexual orientation, or any other protected class.

Job Details

• Seniority level: Mid-Senior level
• Employment type: Full-time
• Job function: Information Technology
• Industries: IT Services and IT Consulting