Data Engineer

San Francisco Bay Area
Engineering – Engineering
Full Time- Exempt
Lambda School is on a mission to pioneer a new model of accessible higher education with no upfront costs and where the school invests in the students instead of the other way around.  We are rethinking learning so that we can address the needs of both students and employers in tandem. We’re a progressive alternative to traditional college and fast track bootcamps. Lambda is an intensive program and an immersive live, online curriculum that teaches people the hard and soft skills they need to launch a new tech career. We offer both full time and part time courses to our students.

Lambda has successfully completed funding rounds with premier tier venture investors and we have students in almost every State across the United States. We’re looking for passionate, talented people who want to change the way the world thinks about higher education and unlock human potential, regardless of circumstance. 

If that sounds exciting to you, let’s talk.  Our success depends on building teams who can challenge each other's assumptions with fresh perspectives. To that end, we don’t just accept differences – we celebrate them. Lambda School welcomes a diverse pool of applicants, including those from historically marginalized groups and non-traditional backgrounds who can appreciate the diverse student communities that we serve and are looking to grow into. This includes women, people with disabilities, people of color, formerly incarcerated people, individuals who are lesbian, gay, bisexual, transgender, queer and/or gender nonconforming, first and second generation immigrants, veterans, and people from different socioeconomic backgrounds.

What You Will Do:

    • Develop, construct, test and maintain architectures, such as databases and large-scale processing systems
    • Ensure data architecture that supports the requirements of the business
    • Discover opportunities for data acquisition
    • Develop data set processes for data modeling, mining, and production
    • Employ a variety of languages and tools (e.g scripting languages) to marry the systems together
    • Identity, recommend and implement ways to improve data reliability, quality
    • Define and manage SLA’s for all data sets and processes running in production.

What You Will Need:

    • 4+ years of experience working as a Data Engineer
    • Experience with building Data Architecture
    • Experience in PostgreSQL or similar SQL-like database, Redis, Hive, and Sqoop Experience with NoSQL databases such as Cassandra or MongoDB
    • Development experience with Scala or any other functional or object-oriented language such as Python, Perl, Java, etc.
    • Experience with data sets and data visualization tools.

Bonus If You:

    • Have experience building a full stack data pipelines and data infrastructure
    • Live/work in the San Francisco Bay Area
    • Have a passion for education
    • Have previous experience at a growth stage internet/software company
    • Have a non-traditional story. Many of our students have beaten a unique path to their new jobs. We like team members who have done the same
The position is a full-time, salaried role with medical benefits.

Lambda School is an equal opportunity employer that does not discriminate on the basis of actual or perceived race, creed, color, religion, national origin, ancestry, age, physical or mental disability, pregnancy, genetic information, sex, sexual orientation, gender identity or expression, marital status, familial status, domestic violence victim status, veteran or military status, or any other legally recognized protected basis under federal, state or local laws. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 

Lambda School is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. Please let us know if you need assistance or an accommodation due to a disability.