We’re looking for a Staff Data Engineer to join our newly formed data engineering team. As a Staff Engineer, you will be responsible for leading the effort to design, architect and support our entire data platform and will play a key role in defining how our systems evolve as we scale.

About you:

• You have 8+ years of software engineering experience.
• You have 5+ years of experience working with and building enterprise-scale data platforms.
• You have excellent command of at least one of the mainstream programming languages and some experience with Python.
• You have helped define the architecture, data modeling, tooling, and strategy for a large-scale data processing system, data lakes or warehouses. 
• You have used workflow management tools (eg: airflow, glue) and have experience maintaining the infrastructure that supports these.
• You have hands-on experience building CDC-based (Change Data Capture) ingestion pipelines for highly transactional databases. Experience with Postgres and logical replication is a plus.
• You have a strong understanding of modern data processing paradigms and tooling, OLTP & OLAP database fundamentals.
• Dimensional modeling and reporting tools like Looker are a plus, but not required
• You have experience building streaming/real-time data pipelines from a batch architecture approach.

Responsibilities:

• Help define a long-term vision for the Data Platform architecture and implement new technologies to help us scale our platform over time
• Help the team apply software engineering best practices to our data pipelines (testing, data quality, etc)
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources, using SQL and AWS technologies
• Clearly define data ownership & responsibility, audit and compliance framework, and general security of the data lake
• Partner with product managers, data scientists, and engineers across teams to solve problems that require data 
• Drive the evolution of our data platform to support our data processing needs and provide frameworks and services for operating on the data 
• Analyze, debug and maintain critical data pipelines
• Work with our core infrastructure team to create and improve frameworks that allow derived data to be used in production environments
• Contribute to standards that improve developer workflows, recommend best practices, and help mentor junior engineers on the team to grow their technical expertise

In the first month, you'll:

• Get up to speed on our architecture and learn the problem domain
• Understand our current data requirements and where things stand today
• Gain understanding of our current data pipelines

Within the first 3 months, you'll:

• Work with your team to help design and architect our data platform
• Work with product managers, engineers and data scientists to help come up with a plan to gain consensus on the approach
• Analyze, debug and maintain critical data pipelines

Within the first 6 months, you'll:

• Develop thorough understanding of our data platform 
• Know all the major components of our system and be able to debug complex issues
• Be able detect bottlenecks, profile, and come up with enhancements
• Start participating in hiring for the company

Within the first 12 months, you'll:

• Thoroughly understand our data processing needs and able to spec, architect, and build solutions accordingly
• Mentor other engineers joining the team

What we offer:

• $218,000 to $245,000 USD salary regardless of your location
• Competitive equity in a fast-growing, Series B startup backed by top tier investors including Y Combinator
• 10 year window to exercise vested equity options
• Fully remote work environment that promotes autonomy and flexibility
• Suggested 4 to 5 weeks time off to recharge and focus on mental, physical, and emotional health
• $2,000 USD to build your personal workspace 
• $1,000 USD annual stipend for your continuous learning and growth