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Home›Jobs›Simulmedia›Senior Data Engineer
Simulmedia

About Simulmedia

Revolutionizing advertising with data-driven insights

🏢 Media👥 21-100 employees📅 Founded 2008📍 Rose Hill, New York, NY💰 $87.3m⭐ 3.7
B2BMarketingAdvertisingVideo

Key Highlights

  • Raised $87.3 million in Series E funding
  • Headquartered in Rose Hill, New York, NY
  • Customer base includes thousands of businesses
  • Focus on AI integration and video game advertising

Simulmedia is a data-driven advertising platform headquartered in Rose Hill, New York, specializing in optimizing TV, streaming, and video game advertising. With over $87.3 million raised in Series E funding, Simulmedia leverages anonymous viewer data to connect thousands of businesses with their id...

🎁 Benefits

Simulmedia offers comprehensive benefits including fully paid medical, dental, and vision insurance, unlimited vacation, and a pet-friendly office. Em...

🌟 Culture

Simulmedia fosters a unique culture centered around data-driven decision-making and innovation in advertising. The company encourages a collaborative ...

🌐 Website💼 LinkedIn𝕏 TwitterAll 9 jobs →
Simulmedia

Senior Data Engineer

Simulmedia • Lviv, Kyiv

Posted 1 year ago🏠 RemoteSeniorData engineer📍 Lviv📍 Kyiv
Apply Now →

Skills & Technologies

PythonSQLREST API

Job Description

Simulmedia is looking for an experienced and dynamic Data Engineer with a curious and creative mindset to join our Data Services team. The ideal candidate will have a strong background in Python, SQL and Rest API development. This is an opportunity to join a team of amazing engineers, data scientists, product managers and designers who are obsessed with building the most advanced streaming advertising platform in the market. As a Data Engineer you will build services and data processing systems to support our platform. You will work on a team that empowers the other teams to use our huge amount of data efficiently. Using a large variety of technologies and tools, you will solve complicated technical problems and build solutions to make our services robust and flexible and our data easily accessible throughout the company.

This position is based in Ukraine. The team primarily works remotely, with occasional in-person meetings in the Kyiv or Lviv office.
 
Responsibilities:
●      Build products that leverage our data and solve problems that tackle the complexity of streaming video advertising
●      Develop containerized applications, largely in Python, that are deployed to the Cloud
●      Work within an Agile team that releases cutting-edge new features regularly
●      Learn new technologies, and make an outsized impact on our industry-leading tech platform
●      Take a high degree of ownership and freedom to experiment with new technologies to improve our software
●      Develop maintainable code and fault tolerant solutions
●      Collaborate cross-functionally with product managers and stakeholders across the company to deliver on product roadmap 
●      Join a team of passionate engineers in search of elegant solutions to hard problems
 
Qualifications:
●      Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
●      7+ years of work experience as a data engineer 
●      Proficiency in Python and using it as the primary development language in recent years
●      Proficiency in SQL and relational databases (Postgres, MySQL, etc)
●      Ability to design complex data models (normalized and multi-dimensional)
●      Experience building REST services (Flask, Django, aio-http, etc)
●      Experience developing, maintaining, and debugging problems in large server-side code bases
●      Good knowledge of engineering best practices and testing (unit test, integration test)
●      The desire to take a high level of ownership of the things you work on
●      Ability to learn new things quickly, maintain a high bar for quality, and be pragmatic
●      Must be able to communicate with U.S based teams
●      Experience with AWS is a plus
● Ability to work 11 am - 8 pm EEST
 
Our Tech Stack:
●      Almost everything we run is on AWS
●      We mostly use Python, Ruby and Go 
●      For data, we mostly use Postgres and Redshift

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