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Data Engineer (Security Cleared)

What we’re all about.

It isn’t often you get to be part of a tech company that, since 2016, has been innovating the data analytics market in ways no-one else can. Our technology started out in FinTech, helping tackle serious criminal activity. Now, its potential is virtually limitless. Working at Quantexa isn't just intellectually stimulating. We’re a real team. Collaborating and constantly engineering better and better solutions. We’re ambitious, we think things through and we’re on a mission to discover just how far we can go. Nearly half of our colleagues come from an ethnic or religious minority background. We’re made up of people from 47 nationalities who speak over 20 languages. As a diverse mix of individuals, we make one big unstoppable team.      

If our incredible culture sounds like you, we’d love you to join us.

The opportunity.

Our Quantexa Delivery team is all about contextualizing data. As a data engineer, you bring it all together. Working within a fast-paced team, you'll implement Quantexa’s innovative technology for an ever-expanding list of domains including banking, insurance, government, healthcare. From building an end-to-end data pipeline that uses our award-winning software, to configuring our decision-making platform to detect key insights, there’s always a new challenge around the corner.

You’ll need to be a problem solver. The challenges we tackle are big, but they're also incredibly rewarding. Your contributions in managing, transforming, and cleansing high volume data help our clients solve business problems in areas including fraud, financial crime, data management, risk and customer intelligence.

 What you’ll be doing.

  • Writing defensive, fault tolerant and efficient code for production level data processing systems.
  • Configuring and deploying Quantexa software using tools such as Spark, Hadoop, Scala, Elasticsearch, with our platform being hosted on both private and public virtual clouds, such as Google cloud, Microsoft Azure and Amazon.
  • You’ll be a trusted source of knowledge for your clients. And you’ll articulate technical concepts to a non-technical audience so they can make key decisions.
  • Collaborate with both our solution architects and our R&D engineers to champion solutions and standards for complex big data challenges. You proactively promote knowledge sharing and ensure best practice is followed.

What you’ll bring.

  • You’ll have a background in hands-on technical development, with at least 18 months’ of industry experience in a data engineering role or equivalent, and preferably some software industry experience.
  • Proficiency in Scala, java, python, or a programming language associated with data engineering. Our primary language is Scala, but don’t worry if that’s not currently your strongest language. We believe that strong engineering principles are universal and transferable.
  • As an expert in building and deploying production level data processing batch systems, you’ll share an appreciation of what makes a high quality, operationally stable system and how to streamline all areas of development, release, and operations to achieve this. 
  • Experience with a variety of modern development tooling (e.g. Git, Gradle, Nexus) and technologies supporting automation and DevOps (e.g. Jenkins, Docker and a little bit of good old Bash scripting). You’ll be familiar with developing within a version-controlled process that regularly makes use of these tools and technologies.
  • A strong technical communication ability with demonstrable experience of working in rapidly changing client environments. 
  • Knowledge of testing libraries of common programming languages (such as ScalaTest or equivalent). Importantly, you’ll know the difference between varying test types (unit test, integration test) and can cite specific examples of what they have written themselves.  

Our perks and quirks.

What makes you Q will help you to realize your full potential, flourish and enjoy what you do, while being recognized and rewarded with our broad range of benefits.

We offer:

  • Competitive salary  
  • Company bonus  
  • 100% RRSP match up to 5% 
  • Competitive annual leave, plus your birthday off, parental leave, PTO, and observed holidays 
  • Comprehensive benefits coverage, including mental health support, fitness reimbursements, and financial well-being 
  • Tax-advantageous benefits, such as commuter benefits, healthcare, and dependent care 
  • Regularly bench-marked salary rates  
  • Well-being days  
  • Volunteer Day off 
  • Work from Home Equipment 
  • Free Calm App Subscription #1 app for meditation, relaxation and sleep  
  • Continuous Training and Development, including access to Udemy Business  
  • Spend up to 2 months working outside of your country of employment over a rolling 12-month period with our ‘Work from Anywhere’ policy 
  • Employee Referral Program   
  • Team Social Budget & Company-wide Socials 

Our mission

We have one mission. To help businesses grow. To make data easier. And to make the world a better place. We’re not a start-up. Not anymore. But we’ve not been around that long either. What we are is a collection of bright, passionate minds harnessing complexities and helping our clients and their communities. One culture, made of many. Heading in one direction – the future.

It's all about you

We want you to feel welcome, valued, and respected—because it’s your individuality and passion that make you Q. We see that, and we celebrate it. That’s why we’re proud to be an Equal Opportunity Employer.

We are committed to fostering an inclusive and diverse work environment, continuously improving to ensure everyone belongs. Our recruitment process is designed to be inclusive and accessible. If you need any reasonable adjustments or accommodations, please let our Talent Acquisition Team know—we’re happy to assist. 

No matter your race, beliefs, color, national origin, gender, sexual orientation, age, marital status, neurodiversity, or abilities—whoever you are—if you're a passionate, curious, and caring human eager to push the boundaries of what’s possible, we want to hear from you.

Applicants must be authorized to work for any employer in Canada.

start. don’t stop – Apply

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$90000K

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What You Should Know About Data Engineer (Security Cleared), Quantexa

At Quantexa, we're leading the charge in revolutionizing the data analytics market since 2016, and we're on the lookout for a talented Data Engineer (Security Cleared) to join our energetic Quantexa Delivery team. Here, you'll dive headfirst into the world of contextualizing data, taking on exciting challenges across various domains like banking, insurance, government, and healthcare. As a Data Engineer, you'll be responsible for crafting efficient, fault-tolerant code for data processing systems and deploying cutting-edge technology such as Spark, Hadoop, and Scala. With our platform hosted on both private and public clouds, you'll have the chance to work with innovators in the field. We pride ourselves on our collaborative environment, where you'll work closely with solution architects and R&D engineers to create standout solutions for complex big data challenges. Your role will also involve managing, cleansing, and transforming high-volume datasets to help clients tackle issues like fraud and risk management. If you have over 18 months of hands-on technical experience and a genuine curiosity for problem-solving, we want to hear from you. At Quantexa, not only do we champion diversity, with colleagues from 47 different nationalities, but we also support your growth through extensive training and development opportunities. So, if you're ready for an intellectually stimulating journey with a dynamic team, join us at Quantexa and help make data work for everyone!

Frequently Asked Questions (FAQs) for Data Engineer (Security Cleared) Role at Quantexa
What are the responsibilities of a Data Engineer at Quantexa?

As a Data Engineer (Security Cleared) at Quantexa, you will be busy writing efficient and fault-tolerant code for production-level data processing systems. This includes building end-to-end data pipelines and deploying Quantexa’s innovative software in various domains. You will also manage, transform, and cleanse large volumes of data to support clients in solving pressing business challenges, such as fraud detection and risk management.

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What qualifications do I need to apply for the Data Engineer position at Quantexa?

To qualify for the Data Engineer (Security Cleared) position at Quantexa, you should have at least 18 months of hands-on experience in a data engineering role. Proficiency in programming languages such as Scala, Java, or Python is crucial, with a solid understanding of modern development tools and practices. Familiarity with cloud platforms and big data technologies will also be beneficial.

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What programming languages are preferred for the Data Engineer role at Quantexa?

For the Data Engineer (Security Cleared) position at Quantexa, proficiency in Scala is preferred, but we understand that engineering skills are transferable. We're open to candidates who have strong expertise in Java or Python as well. The important thing is a solid understanding of engineering principles and the ability to learn quickly.

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What does the work environment look like for a Data Engineer at Quantexa?

The work environment for a Data Engineer (Security Cleared) at Quantexa is dynamic and collaborative. You’ll be part of a diverse team working in a fast-paced setting, where sharing knowledge and best practices is encouraged. Our culture embraces inclusion and diversity, allowing you to collaborate with colleagues from various backgrounds and experiences.

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What opportunities for professional development can I expect as a Data Engineer at Quantexa?

At Quantexa, we’re committed to your growth and development. As a Data Engineer (Security Cleared), you'll have access to continuous training resources, including courses from Udemy Business. We also offer mentorship and collaboration opportunities with experienced professionals in the field, ensuring you're constantly expanding your skill set.

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Common Interview Questions for Data Engineer (Security Cleared)
Can you describe your experience with data pipeline creation as a Data Engineer?

When answering this question, focus on specific projects where you designed and implemented data pipelines. Highlight the technologies used, the challenges faced, and how you overcame them. This showcases your hands-on experience and problem-solving abilities, which are crucial for the Data Engineer role at Quantexa.

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What defines an efficient data processing system?

An efficient data processing system minimizes resource usage and maximizes output. Discuss your understanding of fault tolerance, scalability, and the importance of maintaining operational stability. Use specific examples from your past experience to illustrate your points.

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How do you manage the trade-off between data quality and processing speed?

Balancing data quality and processing speed is key. Discuss techniques like data validation and incremental processing to maintain high data integrity without significantly impacting processing times. Reference real-world scenarios where you successfully navigated this trade-off.

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What tools do you use for version control in your data engineering projects?

Talk about using Git for version control and describe how managing different branches and pull requests contributes to collaborative coding. Mention your familiarity with tools such as Gradle or Nexus and how they integrate into your workflow.

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Can you explain the differences between unit tests and integration tests?

Define both test types clearly, focusing on their purposes and how they contribute to the stability of software. Provide specific examples from your previous projects where you implemented both test types, detailing the outcomes and learnings.

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What experience do you have with cloud platforms and big data technologies?

Discuss your hands-on experience with platforms like Google Cloud, AWS, or Microsoft Azure, explaining specific tools such as Spark or Hadoop that you've utilized for big data processing. Give examples of projects where cloud deployment was essential.

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How do you ensure best practices in your data engineering processes?

Highlight your commitment to best practices by mentioning code reviews, documentation, and knowledge sharing sessions. Explain how you've fostered a culture of quality and consistency in previous roles, enhancing team performance.

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What challenges have you faced while working with high-volume data, and how did you overcome them?

Share a specific instance of a challenge with high-volume data, such as latency issues or data inconsistency. Discuss the strategies you employed to resolve the problem, demonstrating your analytical and troubleshooting skills.

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How do you approach working in a rapidly changing environment?

Emphasize your adaptability and willingness to learn. Discuss examples where you had to pivot quickly in response to shifting project requirements, showing your proactive mindset and teamwork skills in navigating change.

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Describe a successful collaboration experience with a non-technical audience.

Detail a specific scenario where you broke down technical jargon into understandable concepts for a non-technical audience. Focus on the communication strategies you employed and the impact your clarity had on decision-making.

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Quantexa’s Contextual Decision Intelligence is a new approach to data that gives organizations the ability to connect internal and external data sets to provide a single view, enriched with intelligence about the relationships between people, pla...

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Full-time, remote
DATE POSTED
March 23, 2025

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