Senior Software Engineer - Data Science
Datadog
Job Overview
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Job Description
About the Role
The Data Science team at Datadog designs and builds algorithmically driven features within the Datadog application. We focus on analyzing streaming data for applications like anomaly detection, error outliers, and faulty deployment analysis. As a Senior Software Engineer on this team, you will be instrumental in designing, building, and scaling the backend systems that power our expanding suite of Watchdog products. Your work will involve large-scale distributed systems, horizontally-scalable datastores, and various data-processing frameworks to develop our next-generation platform and enhance Data Science capabilities at Datadog.
Datadog values its office culture, recognizing the relationships, creativity, and collaboration it fosters. We operate as a hybrid workplace, allowing employees to achieve a healthy work-life harmony.
What You’ll Do
- Build common services and components that encapsulate data science capabilities for other products and teams to leverage.
- Enable new capabilities for our core products by integrating and preprocessing data from dozens of sources, preparing it for incorporation into data science models.
- Ensure that our data science-driven features continue to scale effectively as Datadog acquires more customers and ingests increasing amounts of data.
- Leverage modern tools and frameworks to enhance the performance and cost-efficiency of data science services.
- Join an exceptional team of data scientists and software engineers dedicated to building a product cherished by our customers.
- Work across the entire stack, moving seamlessly between different programming languages and technologies.
Who You Are
- You have experience working in Python, Java, Scala, or Go.
- You have experience working with microservices and/or distributed systems.
- You prioritize simplicity and efficient task completion.
- You have built high-volume data pipelines.
- You possess expertise in Python, Go, or Scala and are familiar with Spark or Flink.
- You are excited about leveraging AI tools to improve your coding, problem-solving, and building processes – or eager to acquire these skills.
Benefits and Growth
At Datadog, we offer competitive global benefits, new hire stock equity (RSUs), and an employee stock purchase plan (ESPP). You’ll have the opportunity to collaborate closely with colleagues in our New York City and Paris offices, attend and present at conferences and meetups, and benefit from an intradepartmental mentor and buddy program for in-house networking. We foster an inclusive company culture, offering the ability to join our Community Guilds (Datadog employee resource groups). Please note that benefits and growth opportunities may vary based on country of employment and nature of employment with Datadog.
Key skills/competency
- Data Science
- Distributed Systems
- Backend Development
- Streaming Data Analysis
- Anomaly Detection
- Python
- Go
- Scala
- Apache Spark
- Apache Flink
How to Get Hired at Datadog
- Research Datadog's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor to understand the #DatadogLife.
- Tailor your resume: Customize your resume to highlight experience in data science, distributed systems, and relevant programming languages like Python, Go, or Scala, aligning with the Senior Software Engineer - Data Science role requirements.
- Showcase data pipeline expertise: Emphasize your background in building high-volume data pipelines and working with frameworks like Spark or Flink, crucial for Datadog's data-intensive environment.
- Prepare for technical interviews: Practice coding challenges and system design questions relevant to large-scale data processing, microservices, and algorithmically driven features.
- Demonstrate problem-solving skills: Be ready to discuss how you've solved complex scaling and data integration challenges, reflecting Datadog's focus on breaking down silos and solving complexity.
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