Senior Data Engineer
At Tinder, we use data to influence decisions for products being used by hundreds of millions of users on a global scale. We're looking for incredibly passionate engineers to help us build and scale tools and infrastructure to derive insights from massive amounts of data. In this role, you will have the opportunity to build essential pipelines for moving information across different systems, and to develop models for making real-time decisions and recommendations. Your work will have a direct and immediate impact on user satisfaction and company growth. We would love to talk to you if you are interested in using trillions of data points to help Tinder users achieve stronger matches, engage more effectively, and create more love in the world (algorithmically)!
This is a full time position based in our offices in Los Angeles, CA and Palo Alto, CA.
In this Senior Data Engineer role, you will:
Support existing data pipelines and systems in production
Design and scale data ingestion systems with high availability and reliability
Design, build and launch new data extraction, transformation and loading processes in production
Design, build and launch new data models in production
Write batch and real-time big data jobs using Hadoop and Spark
Maintain and evolve dimensional data models and schema designs
Create automated reports to be consumed by the rest of the organization
Build machine learning models and derive insights from massive amounts of data
Interact with engineers and product managers to support Tinder product decisions
Scale one of the fastest growing data warehouse's in mobile
We're looking for:
BS/MS in Computer Science, Computer Engineering or related technical discipline
4
years knowledge & experience with Spark, Hadoop or other big data technologies
4
years programming experience in Scala / Python / Java
2
years experience in ETL design and implementation
Experience in building and maintaining large scale analytics systems
Experience in running big data solutions (especially in AWS)
Excellent analytical/problem solving skills
Bonus points if you have experience with SQL, DynamoDB, MongoDB, Redis, Kafka/Kinesis, Node.js, and strong machine learning or stats knowledge
As part of our team, you'll enjoy:
The hustle of a startup with the impact of a global business
Tremendous opportunity to solve some of the industry's most exciting problems
Working with an extraordinary team of smart, creative, fun and highly motivated people
Comprehensive health coverage, competitive salary, 401(k) match and meaningful equity
Unlimited vacation and flexible working hours
Daily catered lunches, endless supply of refreshments, basketball court, fitness classes and social events
Modern, uplifting work environment in an ideal location
. Apply now!Estimated Salary: $20 to $28 per hour based on qualifications.
This is a full time position based in our offices in Los Angeles, CA and Palo Alto, CA.
In this Senior Data Engineer role, you will:
Support existing data pipelines and systems in production
Design and scale data ingestion systems with high availability and reliability
Design, build and launch new data extraction, transformation and loading processes in production
Design, build and launch new data models in production
Write batch and real-time big data jobs using Hadoop and Spark
Maintain and evolve dimensional data models and schema designs
Create automated reports to be consumed by the rest of the organization
Build machine learning models and derive insights from massive amounts of data
Interact with engineers and product managers to support Tinder product decisions
Scale one of the fastest growing data warehouse's in mobile
We're looking for:
BS/MS in Computer Science, Computer Engineering or related technical discipline
4
years knowledge & experience with Spark, Hadoop or other big data technologies
4
years programming experience in Scala / Python / Java
2
years experience in ETL design and implementation
Experience in building and maintaining large scale analytics systems
Experience in running big data solutions (especially in AWS)
Excellent analytical/problem solving skills
Bonus points if you have experience with SQL, DynamoDB, MongoDB, Redis, Kafka/Kinesis, Node.js, and strong machine learning or stats knowledge
As part of our team, you'll enjoy:
The hustle of a startup with the impact of a global business
Tremendous opportunity to solve some of the industry's most exciting problems
Working with an extraordinary team of smart, creative, fun and highly motivated people
Comprehensive health coverage, competitive salary, 401(k) match and meaningful equity
Unlimited vacation and flexible working hours
Daily catered lunches, endless supply of refreshments, basketball court, fitness classes and social events
Modern, uplifting work environment in an ideal location
. Apply now!Estimated Salary: $20 to $28 per hour based on qualifications.
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