Data engineer
Description For Data engineer
Writer, a leading full-stack generative AI platform, is seeking a Data Engineer to join their team in San Francisco. This role offers a unique opportunity to shape the company's data analytics and reporting capabilities. As the first Data Engineer, you'll work at the intersection of engineering, product, and data, leading the integration of product, financial, and business systems.
Key responsibilities include owning and maintaining data pipelines, implementing data quality measures, developing data models, and establishing best practices. The ideal candidate will have 5+ years of experience in data engineering, expertise in SQL, dbt, and Python, and knowledge of cloud environments.
Writer, backed by strategic investors and with offices in San Francisco, New York City, and London, is transforming work for leading enterprises. They offer a comprehensive benefits package, including medical coverage, paid parental leave, and various stipends for personal and professional development.
Join a team of over 200 employees who think big and move fast, and help create a better future of work with Writer's state-of-the-art AI technology.
Responsibilities For Data engineer
- Own, build, and maintain data pipelines, ETL/reverse-ETL processes and BigQuery environment
- Implement an orchestration tool
- Design a suite of tests and validations to ensure data consistency, accuracy and integrity
- Develop reliable and lasting data models, while optimizing for scale
- Catalog and document all aspects of our data pipelines
- Create the foundation for a data governance program
- Partner with product and engineering teams to deliver data solutions
- Establish data engineering best practices
Requirements For Data engineer
- 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
Benefits For Data engineer
- 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
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