Sr. Data Engineer (Temporary Contractor)

San Francisco, CA; Remote - US
Engineering /
Contract /
Lumos Labs is the industry leader in brain training. Since the launch of Lumosity in 2007, more than 100 million users have trained their cognitive skills by playing over 7 billion training games. We believe in helping people keep their brains challenged through playful, meaningful experiences grounded in science. 

From neuroscience to art, we combine diverse disciplines to create a brain training program that is both engaging and accessible — making cognitive research available to everyone. We draw upon scientific research, user-friendly design, and engagement with our user base to continuously improve our product. Through theHuman Cognition Project, we collaborate with over 100 leading researchers and clinicians from institutions around the world. 


We’re looking for a Senior Engineer to join our Data Engineering Team. This team powers all of our applications by building systems and infrastructure to effectively collect, distribute, migrate and analyze data at scale. We’re looking for an experienced engineer who has a passion for data, clean code, and operational efficiency.
In this role, you’ll work closely with engineering teammates to help with the development of our consumer flagship product, Lumosity, which is used by millions of users worldwide. You will also routinely interact with product managers, designers, domain experts, and other stakeholders.

The ideal candidate has a track record of successfully supporting the collection and migration of large data sets from cross systems in our tech stack of choice (see details below). Candidates should have a passion for cognitive health and wellness.


    • Coding position: while architectural skills can be advantageous, they are not mandatory for this role, as it primarily revolves around coding and problem-solving
    • Contribute day to day by coding by creating and maintaining well engineered solutions to fulfill our software requirements
    • Tech stack: Python, Scala, Kafka, Snowflake, Airflow, MySQL, PostgreSQL, Github Actions
    • Offer input and recommendations for development tactics based on your years of experience
    • Use Jira daily to document tasks, completion status, decisions, dependencies, blockages and general progress updates
    • If outside of Pacific Time in the United States, ensure availability between 8am and 1pm Pacific Time, USA


    • A coder at heart
    • A self-starter who is internally motivated
    • Energized when large numbers of people are using your software
    • Enthusiastic about small teams and working together to succeed
    • Eager to learn what’s necessary to fulfill responsibilities
    • Excited to help people tap into the full potential of their minds
    • An accomplished communicator
    • Comfortable with ambiguity and excited by lessening the unknown


    • Significant experience (5+ years) working in our tech stack
    • Experience crafting and/or contributing to core systems including:
    •  Migrating large data sets across different RDBMS or Data Warehouses
    •  Events Streaming using Kafka
    • Exposure to the principles of functional programming
    • A consistent track record of building Data Pipelines for highly-available back-end systems that scales and is used by large number of users
    • A deep understanding of patterns of data architecture and back-end system design
    • Strong analytical and debugging skills
    • The desire to proactively identify and mitigate risk
    • Experience collaborating in a diverse team toward successful launches of software products
    • If outside of Pacific Time in the United States, the demonstrated ability to collaborate successfully and productively from a different timezone
$35 - $100 an hour
The above represents the expected hourly rate range for this job requisition. Ultimately, in determining your pay, we'll consider your experience and other job-related factors.
Lumos Labs values diversity and recognizes that employees from a broad range of perspectives improves both the practice of science and the brain training experience for everyone. We are committed to inclusion, diversifying tech, and advocating for diversity in our employees, their experiences, and the people we serve. 

We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, status as a veteran, and basis of disability or any other federal, state or local protected class. 

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