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Senior Data Engineer

Remote: 
Full Remote
Contract: 
Salary: 
165 - 180K yearly
Experience: 
Mid-level (2-5 years)
Work from: 

Offer summary

Qualifications:

BS degree in STEM, Proficiency in Python and SQL, Experience with data warehousing tools, Experienced in mentoring and leading teams, Familiarity with cloud providers like AWS or GCP.

Key responsabilities:

  • Develop and maintain data pipelines
  • Ingest and manage data assets
  • Design and launch data models using DBT
  • Collaborate with analytics and engineering teams
  • Build data platforms for insights
Multi Media, LLC logo
Multi Media, LLC Information Technology & Services SME https://multimediallc.com/
51 - 200 Employees
See more Multi Media, LLC offers

Job description

About us: Multi Media LLC is a leader in digital innovation, focusing on creating modern products for the content creator community. Our main platform, Chaturbate, is a key player in the adult entertainment industry, bringing billions of people together worldwide. We aim to make Chaturbate the best place for users and creators to interact and connect, offering a safe, creative, and engaging space for everyone.

We’re looking for a Senior Data Engineer to help us build and scale data systems that process petabytes of data to provide important insights to our teams. In this role, you’ll be on a team that manages the entire ETL & data warehousing process, making it easier for data scientists, analysts, and engineers to use data and drive value. You’ll also mentor team members, and your work will have a direct impact on millions of users around the world.

In particular, you will:

  • Develop and maintain data pipelines for the site to operate.
  • Ingest and maintain data assets.
  • Design, build, and launch new data models in production using DBT.
  • Collaborate with Data Analysts, Software Engineers, Machine Learning Engineers, and key product stakeholders to define the best data solutions.
  • Build data platforms for analysts and product managers to use and get data insights.

Requirements

What you'll bring

  • BS degree in STEM
  • Proficiency in Python and SQL for building data pipelines
  • Experience with data warehousing tools (Snowflake, BigQuery, Redshift, etc.) and transform tools (DBT, SQLMesh)
  • Experience mentoring and leading other data engineers and analysts
  • You have worked with cloud providers like AWS or GCP

Bonus points:

  • Knowledge of data governance best practices
  • Experience with DBT and data modeling

Benefits

What you’ll get:

  • Fair and competitive base salary
  • Fully Remote Optional
  • Health, Vision, Dental, and Life Insurance for you and any dependents, with policy premiums covered by the Company
  • Long & Short term disability insurance
  • Unlimited PTO
  • Annual Year-End Company Closure
  • Optional 401k with 5% matching
  • 12 Paid Holidays
  • Paid Lunches in-office, or if Remote, a $125/week stipend via Sharebite
  • Employee Assistance and Employee Recognition Programs
  • And much more!

The Base Salary range for this position is $165,000 to $180,000 USD. This range reflects base salary only and does not include additional compensation or benefits. The range displayed reflects the minimum and maximum range for a new hire across the US for the posted position. A candidate’s specific pay will be determined on a case-by-case basis and may vary based on the candidate’s job-related skills, relevant education, training, experience, certifications, and abilities of the candidate, as well as other factors unique to each candidate.

Multi Media, LLC is an equal opportunity employer and strives for diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We encourage people from underrepresented groups to apply!

Required profile

Experience

Level of experience: Mid-level (2-5 years)
Industry :
Information Technology & Services
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Collaboration
  • Mentorship

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