Senior Data Engineer - Billing Platform


Full Time Senior-level / Expert USD 76K - 150K *
AppsFlyer logo


The world’s top brands trust the AppsFlyer Cloud to help them build great products, create exceptional experiences, and preserve customer privacy.

View all employer listings

Apply now Apply later

Are you ready to take your career to the next level?

AppsFlyer is rapidly growing. More customers are using more of our products while generating more data that we process and analyze in order to deliver insights that ensure our customers make the best choices. To accommodate AppsFlyer’s unique set of products, as well as the increasing volume of data that our customers generate, we have developed a unique billing platform that moves our business while processing and transforming large amounts of customer data from multiple data sources.

We are looking for a Senior Data Engineer to join our billing platform team! 

Who are you, our Senior Data Engineer? You’re an experienced backend engineer with a strong background in writing ETLs and complicated data processing pipelines. You’re deeply familiar with modern data processing technologies (especially Spark), have a strong problem-solving attitude and, most importantly, you’re passionate about understanding the business side of the platform. Our platform engineers have an end-to-end understanding of the data our products generate and the commercial models and data structures in which they fit. 

Working with this enormous volume of data begins with massive ETL pipelines built using cutting-edge technologies such as Kafka, BigQuery,  Airflow, S3, PostgreSQL, Athena, SQS, Redis, and especially Spark. We are big believers in working with the right tool for the right job, including programming languages. We run a truly polyglot shot with Scala, Python, Go and Node being especially common here at AppsFlyer. The extreme growth rate of our data and client base means that solutions need to be designed to handle 10X growth or more. 

What you’ll do

  • Develop end-to-end data infrastructure features from data processing logic to database choice and implementation through to API development
  • Improve the scalability and performance of existing data pipelines.
  • Mentor, advise, and work collaboratively within the Business Data and Development group, with other development teams, and with all other business teams of the company
  • Understand the AppsFlyer product and business and how your work is essential to improve it
  • Continuously learn and follow new technologies both for personal growth and to ensure we are making the most informed technology choices possible

What you have

  • 4+ years of experience in data engineering in Big Data environments 
  • 2+ years of experience with Spark and its ecosystem, preferably with Scala
  • Experience with public cloud environments (AWS will be a bonus), Hadoop ecosystem, SQL and NoSQL databases, and SaaS
  • Proficiency with Scala/Java and Python
  • Proficiency with SQL and experience with ETL and data modeling
  • Experience in an agile development methodology, CI/CD, Git/Bitbucket, Jenkins, Airflow
  • Positive attitude and willingness to take ownership
  • A mindset of continuous learning and the desire to try new things
  • Ability to see the "big picture" and to understand the business side of things

As a global company operating from 20 offices worldwide, we reflect the human mosaic of the diverse and multicultural world in which we live. We ensure equal opportunities for all of our employees and promote the recruitment of diverse talents to our global teams without consideration of race, gender, culture, or sexual orientation. We value and encourage curiosity, diversity, and innovation from all our employees, customers, and partners.


“As a Customer Obsessed company, we must first be Employee Obsessed. We need to make sure that we provide the team with the tools and resources they need to go All-In.” Oren Kaniel, CEO

* Salary range is an estimate based on our salary survey at
Job perks/benefits: Career development Salary bonus
Job region: Middle East
Job country: Israel
Job stats:  0  0  0
  • Share this job via
  • or

Other jobs like this

Explore more AI/ML/Data Science career opportunities

Find open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general, filtered by job title or popular skill, toolset and products used.