Data engineer

✍🏽 About Writer

Writer is the full-stack generative AI platform delivering transformative ROI for the world’s leading enterprises. Named one of the top 50 companies in AI by Forbes, Writer empowers hundreds of customers like Accenture, Intuit, L’Oreal, and Vanguard to transform the way they work. 

Our all-in-one solution makes it easy to deploy customized AI apps and workflows that accelerate growth, increase productivity, and ensure compliance. Designed to provide enterprise-grade accuracy, security, and efficiency, Writer’s suite of development tools is supported by Palmyra – Writer’s state-of-the-art family of LLMs – alongside our industry-leading graph-based RAG and customizable AI guardrails. 

Founded in 2020 with offices in San Francisco, New York City, and London, Writer is backed by strategic investors, including ICONIQ Growth, Insight Partners, WndrCo, Balderton Capital, and Aspect Ventures. 

Our team of over 200 employees thinks big and moves fast, and we’re looking for smart, hardworking builders and scalers to join us on our journey to create a better future of work.

📐 About this role

We are looking for our first ever Data Engineer to join our team. This role presents an extremely rare and unique opportunity to influence the architecture and tools that power our data analytics and reporting capabilities. You’ll be at the intersection of engineering, product and data, leading the integration of our product, financial, and business systems. If you are passionate about data modeling and solving complex data problems, we want to hear from you!

Tech stack

Core tools: BigQuery, dbt, Fivetran, Hightouch, Segment, Amplitude, Omni

Periphery tools: Salesforce, Hubspot, Gong, Vitally

🦸🏻‍♀️ Your responsibilities

• Data Workflows: Own, build, and maintain data pipelines, ETL/reverse-ETL processes and BigQuery environment.
• Data Quality: Implement an orchestration tool. Design a suite of tests and validations to ensure data consistency, accuracy and integrity.
• Data Modeling: Develop reliable and lasting data models, while optimizing for scale.
• Documentation: Catalog and document all aspects of our data pipelines. Create the foundation for a data governance program. 
• Collaboration: Partner with product and engineering teams to deliver data solutions that align with downstream use cases.
• Data Leadership: Establish data engineering best practices and serve as a subject matter expert on our data architecture, models and systems.

⭐️ Is this you?

• 5+ years of hands-on experience in a data engineering role, ideally in a SaaS environment
• Expert in SQL, dbt and Python
• Advanced knowledge of data engineering tools, frameworks and languages (eg. Airflow, Airbyte, Kafka, github workflows)
• Experience working with services in cloud environment (eg. AWS or GCP)
• Care deeply about data quality, integrity and security
• Thrive in ambiguity and can create paved roads from dirt paths
• Bonus points if you have experience with product event/attribute tracking design and implementation

AND

• High intellectual curiosity and a proclivity to lean into a new subject matter
• A trusted advisor and partner for all levels of the organization
• Intrinsically motivated: you set the highest possible bar for what you build and ship
• An eye for spotting an opportunity, intuition for determining which ones to prioritize, and courage to follow through
• Possesses humility — no work is too trivial if it’s impactful
• Resilient and open to honest (and kind) feedback; tough skin
• Self-aware and committed to learning the why for both successes and failures
• Proactive communication skills, both sync and async
• Experience managing and building relationships across multiple departments and stakeholder levels
• A natural affinity to our values of connect, challenge, own

Curious to learn more about who we are and how we operate? Visit us here

🍩 Benefits & perks

• Generous PTO, plus company holidays
• Medical, dental, and vision coverage for you and your family
• Paid parental leave for all parents (12 weeks)
• Fertility and family planning support
• Early-detection cancer testing through Galleri
• Flexible spending account and dependent FSA options
• Health savings account for eligible plans with company contribution
• Annual work-life stipends for:
  • Home office setup, cell phone, internet
  • Wellness stipend for gym, massage/chiropractor, personal training, etc.
  • Learning and development stipend
• Company-wide off-sites and team off-sites
• Competitive compensation, company stock options and 401k

Writer is an equal-opportunity employer and is committed to diversity. We don't make hiring or employment decisions based on race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other basis protected by applicable local, state or federal law. Under the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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