Senior Data Engineer, Speak
$170-280k
+ Equity
English language learning app
Job no longer available
English language learning app
101-200 employees
Job no longer available
$170-280k
+ Equity
101-200 employees
Company mission
To teach the next billion people English and become the de facto way people learn languages.
Role
Who you are
- 5+ years of relevant experience
- Data Modeling: Deep understanding of big data warehouses (BigQuery, Snowflake, Redshift), theories, principles, and practices. Ability to design, implement, and manage data warehouses effectively
- Programming Skills: Strong programming skills in Python and SQL. Ability to write efficient, reliable, and maintainable code
- Data Pipeline and ETL Development: Experience in building and optimizing data pipelines, architectures, and datasets. Familiarity with ETL (extract, transform, load) processes and tools
- Big Data Technologies: Experience with end-to-end data platform beyond creating pipelines, such as data ingestion, reverse ETL, visualization, data observability, etc
- Cloud Computing: Knowledge of cloud services (GCP, AWS, dbt) and understanding of how to leverage them for data processing and storage solutions
- Data Analysis and Visualization: Ability to analyze data to identify patterns, anomalies, and insights. Proficiency in using data visualization tools (e.g. Mode) to communicate findings clearly
- Debugging Skills: Strong problem-solving skills and the ability to approach complex challenges methodically including data inconsistency issues
- Effective Communication: Ability to communicate technical information to non-technical stakeholders clearly and effectively. This includes writing documentation, presenting findings, and collaborating on projects
What the job involves
- As an Data Engineer at Speak, you'll play a pivotal role in shaping the future of digital language learning, propelling us towards our mission of making language proficiency accessible to millions worldwide
- Your responsibilities will span the crucial intersection of data infrastructure and analytics, from managing scalable data pipelines that support real-time processing, to deploying sophisticated analytics solutions that drive personalized learning experiences
- You'll work closely with our product, engineering, and data science teams to ensure that our platform, powered by cutting-edge technology, is not only robust but also delivers actionable insights that enhance user engagement and learning outcomes
- Design and Build Data Infrastructure: You'll architect and implement robust, scalable data pipelines that ensure efficient data flow and processing, supporting both real-time analytics and large-scale, batch processing needs. Your work will be critical in managing the ingestion, storage, and accessibility of data from various sources, ensuring our platform's backbone is strong and reliable
- Enable Data-Driven Decisions: By collaborating with cross-functional teams, you will develop and deploy tools and frameworks that facilitate data access and analysis, empowering product and business teams to make informed decisions. This includes creating dashboards, reports, and advanced analytics models that reveal user behavior patterns, learning efficacy, and opportunities for product improvement
- Optimize Data Architecture: Constantly evaluate and refine the data architecture to support our growing data needs and ensure optimal performance. This includes managing data lakes, data warehouses, and databases, as well as implementing best practices for data modeling, data quality, and data governance
- Support Machine Learning Projects: Work closely with data scientists and machine learning engineers by providing them with clean, structured data for building and deploying predictive models that enhance personalized learning experiences and engagement strategies
- Innovate and Experiment: Stay ahead of the curve by researching and implementing cutting-edge technologies and methodologies in data engineering and analytics
- Collaborate Across Teams: As a key player in the engineering team, you'll work closely with product managers, analysts, and other engineers to bring data-driven products and features from concept to launch
Our take
As the international language of business, there are many incentives for global entrepreneurs to learn English. With over 1.5 billion people actively learning the language to better their chances in the job market, the customer base for Speak, an AI tutor in the English language is potentially massive.
Investors believe so too, with tens of millions of dollars raised to fund the company from a range of international firms including Korean investors and the Silicon Valley-based OpenAI Fund. This surge of capital will help Speak develop its software and open new markets, especially in the US.
Speak is attempting to break into a human-saturated education market and the success of learning English fluently through its platform is yet to be proven. That being said, it has the potential to become a leading tool specifically in the mobile app sector if it can prove itself as efficient and accessible as the language learning platform DuoLingo.
Kirsty
Company Specialist at Welcome to the Jungle
Company
Funding (last 2 of 6 rounds)
Dec 2024
$78m
SERIES C
Jun 2024
$20m
SERIES B
Total funding: $165.9m
Company benefits
- Speak offers all the standard benefits you'd expect at a tech startup, along with stipends for commuting, fitness, and learning!
- In addition, team members are encouraged to travel between offices and we also host an annual company offsite
Company HQ
Potrero Hill, San Francisco, CA
Leadership
Connor Zwick
(CEO)Previously Advisor at Chegg Inc, CEO at coco Controller, Flascards+ and Freelance Blogger at Envato.
Salary benchmarks
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