Sr. Backend Engineer with Data Science
Sr. Backend Engineer with Data Science
Posted on :
06-05-2025
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1 Vacancy
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Job Description
We are seeking an experienced Senior Backend Engineer to lead the development of endtoend fraud detection solutions. This role combines backend software development with data analysis. You will design and implement scalable highperformance backend systems ensuring smooth integration with other components. Youll take ownership of features from concept to final deployment working closely with crossfunctional teams to deliver reliable and robust solutions.
A key aspect of this role involves analyzing large datasets of traffic to uncover patterns and detect fraudulent activity. You will leverage data engineering techniques to process and manage large traffic datasets efficiently find new ways to detect fraud and implement them in backend code. Some of these features may require machine learning (ML) techniques in the future so experience in ML is a plus but not required.
Types of Projects and Impact:
- Collaborate with the Smart Signals Product team to improve fraud detection signals including browser bot detection VM detection VPN detection and more.
- Conduct deep dives into problematic features researching and analyzing their behavior to understand root causes and identify potential solutions. Develop hypotheses run experiments analyze results and translate findings into actionable engineering improvements.
- Build and enhance backend systems for realtime data processing.
- Foster a datadriven culture by sharing engineering best practices and collaborating on crossfunctional projects.
As a Senior Backend Engineer with Data Science skills you will be responsible for developing and maintaining backend services for fraud detection. Your role will focus on endtoend engineering from analyzing traffic and building scalable data pipelines to writing productionready code and deploying it in production environments.
Required Skills:
- BS/MS in Computer Science Data Science or a related field or equivalent work experience.
- 3 years of experience in backend development with exposure to data science.
Backend Engineering Expertise:
- Strong experience in designing developing and maintaining scalable backend systems.
- Experience working with realtime data processing and APIs.
- Excellent coding skills particularly in GoLang (or equivalent) with working knowledge of data engineering practices.
- Strong knowledge of SQL and experience with databases like DynamoDB Redis or Elasticsearch.
- Proficiency with general software engineering tools: Git IDEs shell scripting CI/CD.
- Proficient in English for clear communication in a global remote team.
Nice to Have:
- Practical experience with analytical storage systems like ClickHouse Snowflake BigQuery Redshift or Databricks.
- Experience with data transformation frameworks like dbt or other data pipeline tools.
- Familiarity with data visualization tools such as Apache Superset Tableau or Looker.
- Experience with the Python data analytics stack (NumPy Pandas Jupyter etc.).
For future projects machine learning knowledge may be a plus:
- Familiarity with supervised and unsupervised learning methods.
- Experience working with machine learning pipelines model deployment and performance monitoring.
- Understanding of core ML concepts such as feature engineering model evaluation and realtime inference.
Technologies You Will Work With:
- Backend development: Golang (preferred) or equivalent.
- Data analytics/processing: ClickHouse dbt Apache Superset.
- Infrastructure: AWS DynamoDB Redis Elasticsearch.
Compensation Range
$130k 200kFor cash compensation we set standard ranges for allUS based roles basedon function level and geographic location benchmarked against similar stage growth companies. In order to be compliant with local legislation as well as to provide greater transparency to candidates we share salary ranges on all job postings regardless of desired hiring location.
Required Experience:
Senior IC
Employment Type
Full Time
Key Skills
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