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Senior Data Engineer

Teramind is a hybrid, global workforce building the next-generation Insider Risk Management and User Behavior Analytics platform.

Join our team of innovators who are redefining insider risk management through cutting-edge technology. More than 10,000 organizations across the globe have used' Teramind to mitigate insider threats and protect their sensitive company data with the most robust, enterprise-grade software on the market.

As a global team, Teramind embraces an inclusive and flexible work environment and team culture. We win together, learn from each other and respect each other while delivering best-in-class security solutions.

About the role

We are looking for a Senior Data Engineer to lead the design and implementation of our data infrastructure, which will support exciting new features on our platform. In this critical role, you will build scalable data pipelines that process and manage large volumes of user activity data, making it readily accessible for machine learning models and analytics.
If you're passionate about data and want to play a key role in shaping our data strategy, we want to hear from you!

Responsibilities

  • Data Architecture: Design and implement robust data architecture tailored for AI-driven features, ensuring it meets the evolving needs of our platform.
  • Pipeline Development: Build and maintain efficient data pipelines for processing user activity data, ensuring data flows seamlessly throughout our systems.
  • Data Management: Develop comprehensive systems for data storage, retrieval, and processing, facilitating quick and reliable access to information.
  • Quality Assurance: Ensure high standards of data quality and availability, enabling machine learning models to produce accurate and actionable insights.
  • Performance Optimization: Enhance the performance and scalability of our data infrastructure to accommodate growing data demands and user activity.
  • Collaborative Efforts: Work closely with data scientists and machine learning engineers to understand their data requirements and ensure data solutions are tailored to their needs.
  • Experience: 6+ years of experience in data engineering, with a proven track record of successfully delivering data-driven solutions.
  • Pipeline Expertise: Strong expertise in designing and building scalable data pipelines using industry-standard tools and frameworks.
  • Big Data Knowledge: Experience with big data technologies and distributed systems, such as Hadoop, Spark, or similar frameworks.
  • Programming Skills: Proficient programming skills in languages such as Python, Java, or Scala, alongside a solid understanding of database management systems (SQL and NoSQL).
  • Machine Learning Familiarity: Understanding of data requirements for machine learning applications and how to optimize data for model training.
  • Security Experience: Experience with security data processing and compliance standards is preferred, ensuring that data handling meets industry regulations and best practices.
  • Advanced English level

This is a remote job. Work from anywhere! We’re a global, distributed team looking for the finest talent. We’ve been thriving as a fully-remote team since 2014. To us, remote work means flexibility and having truly diverse, global teams.

At Teramind, we're a collaborative, forward-thinking team where new ideas come to life, experience is valued and talent is incubated.

  • Competitive salary with a focus on a global market
  • Career-growth opportunities
  • Flexible Time Off and Paid Time Off benefits
  • Ongoing training and development opportunities

About our recruitment process

We don’t expect a perfect fit for every requirement we’ve outlined. If you can see yourself contributing to the team, we want to hear your story.

You can expect up to 3 interviews. In some scenarios, we’re able to streamline the process to have minimal rounds. Director-level roles and above should expect a more thorough process, with multiple rounds of interviews.


All roles require reference and background checks

Teramind is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration without regard to race, age, religion, color, marital status, national origin, gender, gender identity or expression, sexual orientation, disability, or veteran status.

What You Should Know About Senior Data Engineer, Teramind

At Teramind, we're on the lookout for a talented Senior Data Engineer to join our innovative team! As a global leader in Insider Risk Management and User Behavior Analytics, Teramind is redefining the way organizations protect sensitive information. In this exciting role, you will be pivotal in designing and implementing top-notch data infrastructure that powers our cutting-edge platform. Imagine building scalable data pipelines that manage large volumes of user activity data – and making it accessible for machine learning models and analytics. Your expertise will help shape our data strategy and propel the development of AI-driven features that will enhance user security. With over 6 years of experience in data engineering, you will design robust data architecture that meets our platform’s evolving needs and collaborates closely with data scientists and machine learning engineers. We're not just building software; we're building a culture where flexibility and inclusivity are at the heart of everything we do, and we win and learn together. Join us from anywhere in the world, and help us continue our mission of delivering best-in-class security solutions while enjoying a competitive salary, flexible time off, and opportunities for career growth and development!

Frequently Asked Questions (FAQs) for Senior Data Engineer Role at Teramind
What responsibilities does a Senior Data Engineer at Teramind have?

A Senior Data Engineer at Teramind is responsible for designing and implementing data architecture tailored for AI features, maintaining efficient data pipelines for processing user activity data, managing data storage and retrieval systems, ensuring high data quality, and enhancing the overall performance of the data infrastructure.

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What qualifications are required for the Senior Data Engineer position at Teramind?

To be considered for the Senior Data Engineer role at Teramind, candidates should have over 6 years of data engineering experience, strong expertise in building scalable data pipelines, familiarity with big data technologies like Hadoop and Spark, and proficiency in programming languages such as Python, Java, or Scala.

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How does the Senior Data Engineer contribute to machine learning projects at Teramind?

The Senior Data Engineer plays a critical role in supporting machine learning projects at Teramind by ensuring that the data infrastructure is optimized for model training, developing systems that provide quick access to quality data, and collaborating closely with data scientists to meet their specific data requirements.

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What does the recruitment process look like for the Senior Data Engineer role at Teramind?

The recruitment process for the Senior Data Engineer at Teramind typically consists of up to 3 interviews, which can sometimes be streamlined. Candidates should be prepared for thorough discussions about their experience and qualifications, especially at the director level and above, which involves additional rounds.

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What type of benefits does Teramind offer for the Senior Data Engineer position?

Teramind offers a competitive salary focused on the global market, flexible time off policies, ongoing training and development opportunities, and a collaborative work environment that promotes career growth for the Senior Data Engineer.

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Common Interview Questions for Senior Data Engineer
Can you describe your experience with building scalable data pipelines?

Share specific projects where you've successfully built scalable data pipelines, mentioning the tools and technologies used, the challenges faced, and how you optimized performance.

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How do you ensure data quality in your engineering processes?

Discuss techniques you implement to maintain data quality, such as data validation, testing routines, and monitoring processes to detect and rectify issues.

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What big data technologies are you familiar with, and how have you used them?

Detail your experience with big data technologies like Hadoop or Spark, providing examples of how you leveraged these technologies in real-world scenarios.

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How do you approach optimizing data architecture for AI applications?

Explain your methodology for aligning data architecture with the needs of AI applications, focusing on aspects like data accessibility, preprocessing, and integration of machine learning models.

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Can you give an example of a challenge you've faced in data engineering and how you solved it?

Share a specific challenge you encountered, detailing how you approached the situation, the steps taken to resolve it, and the impact of your solution on the project.

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What is your proficiency level with SQL and NoSQL databases?

Discuss your experience with both SQL and NoSQL databases, including specific examples of projects where you utilized these systems effectively to manage and retrieve data.

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Have you collaborated with data scientists before? How did you ensure effective communication?

Explain your previous experiences working with data scientists, focusing on how you facilitated communication and aligned on data requirements to support their projects.

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What programming languages are you most comfortable with, and why?

Talk about your programming strengths, specifically how your skills in languages like Python, Java, or Scala have helped you through various data engineering tasks.

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How do you stay updated with industry standards and trends in data engineering?

Mention specific resources you follow, such as technology blogs, webinars, or conferences, and how they have helped you keep your skills and knowledge current.

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What experience do you have with data security and compliance standards?

Describe your familiarity with data security measures and compliance standards you have implemented in your previous roles, emphasizing the importance of data handling best practices.

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Founded in 2014, Teramind is a leading, global provider of employee monitoring, insider threat detection, data loss prevention and workplace productivity solutions. Over 2,000 organizations in finance, retail, manufacturing, energy, technology, he...

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Full-time, remote
DATE POSTED
March 27, 2025

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