Senior Data Engineer
$30,000 USD/year Pay is set based on global value, not the local market. Most roles = hourly rate x 40 hrs x 50 weeks ($30 USD/hour)

Not accepting applications on at this time.


Are you an expert data scientist? Are you ready to teach a new generation of data scientists and analysts? Join us at BloomTech!

Bloom Institute of Technology (BloomTech) is looking for part-time data science professionals to teach in an immersive, live, online classroom. You will set your schedule, choosing the weekly classes that work for your life.

You will focus on teaching our Data Engineering course. In this role, you'll instruct learners on how to interact and work with software engineers, derive insights from raw data using SQL, NoSQL, and other databases, and what the cloud is and how to deploy it during productization.

BloomTech is committed to the success of our students, to the extent that they don’t pay tuition until they secure a job. This unparalleled commitment to employability requires the best instructors to prepare them.

BloomTech is committed to building a diverse team of staff and instructors where everyone feels seen, heard, and valued. Therefore, we welcome a diverse pool of applicants, including those from historically marginalized groups and non-traditional backgrounds who can appreciate the diverse student communities we serve.

If you’re passionate about Data Science and ready to share your top-notch skills, apply today!

What you will be doing

  • Teaching on Zoom via live code-along, explaining complex concepts simply, using real-life examples, exercises, and storytelling
  • Providing learner support, encouraging struggling learners, and challenging those who are excelling
  • Providing curriculum feedback and reporting learner progress

What you will NOT be doing

  • Managing other instructors or teaching assistants
  • Only tutoring students - your professional expertise forms the foundation of teaching the relevant technical skills required for success in the real world.
  • Traveling for conferences, meetings, or training; we are a 100% remote team.

Key responsibilities

Pass on your technical expertise to train data scientists and analysts ready to start new careers

Candidate requirements

  • Either:
    • A college degree + 3 years of relevant work experience OR 
    • A High school diploma or equivalent + 5 years of relevant work experience
  • 3+ years industry experience as a Python programmer or data scientist with specific experience in pandas, NumPy, scikit-learn, etc.
  • Excited to provide engaging, live, online courses to adult students
  • Available to teach during US daytime hours (11 am - 11 pm EST)
  • Strong internet connection - at least 6 Mpbs upload speed  

Nice to have

  • Experience teaching or mentoring new learners

Meet a successful candidate

Watch Interview
Kavya Harlalka
Kavya  |  Software Engineer

Every developer knows that tunnel vision you get when the interruptions finally stop and the code can flow through you without distraction. ...

Meet Kavya
How it works

Applying for a role? Here’s what to expect.

We’ve curated a series of steps that take the guesswork (and cognitive bias) out of recruiting the best person.

Pass Cognitive Aptitude Test.

Pass Cognitive Aptitude Test.

Pass English Proficiency Test.

Pass English Proficiency Test.

Prove Real-World Job Skills.

Prove Real-World Job Skills.

Ace An Interview Or Two.

Ace An Interview Or Two.

Accept Job Offer.

Accept Job Offer.



Frequently asked questions

About the role

About Crossover

What you will learn

As you teach Data Science to brand-new beginner students, you will deepen your own understanding of the subject and its application. You will also learn how to be an instructor, gauging student engagement and measuring their progress.

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Why Crossover

Recruitment sucks. So we’re fixing it.

We only hire the top 1%

We only hire the top 1%

Our super high quality bar means it’s not easy to qualify—but every single team member is a rockstar.

Premium pay for premium talent

Premium pay for premium talent

Over 50% of new hires double or triple their previous pay. Why? Because that’s what the best person in the world is worth.

Shortlist by skills, not bias

Shortlist by skills, not bias

We don’t care where you went to school, what color your hair is, or whether we can pronounce your name. Just prove you’ve got the skills.