Job Description
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 or minority background. We’re made up of people from 47 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 bringing context to data. Principal Data Engineers are key drivers within our fast-paced delivery teams, implementing Quantexa’s innovative technology across domains including banking, insurance, government, healthcare. We are problem solvers, delivering sophisticated end-to-end big data solutions to our internal and external stakeholders. As a central part of our team, you will have opportunities beyond that of an engineer. You will be the primary technical decision maker for our delivery projects, balancing technical complexity with project demands. You enjoy leading by example, guiding and mentoring data engineers, sharing success, and taking pride in team milestones. You will engage with business teams and clients to translate requirements into technical tasks, work hands-on as a programmer, and support other engineers collaboratively.
The work you do here will be impactful. The challenges are big but rewarding. Your leadership in managing, transforming, and cleansing high-volume data will help clients solve problems in fraud, financial crime, data management, risk, and customer intelligence.
What you’ll be doing.
- You will lead, support, and mentor a team of junior data engineers within an agile environment.
- You will set medium-term strategies for project delivery, anticipating challenges and risks.
- You will operate with high autonomy, seeking guidance when necessary.
- Write defensive, fault-tolerant, and efficient code for production data processing systems.
- You’ll configure and deploy Quantexa’s software using tools such as Spark, Hadoop, Scala, Elasticsearch, on private and public clouds like Google Cloud, Azure, and AWS.
- You will be a trusted technical advisor to clients, explaining complex concepts to non-technical audiences.
- Collaborate with solution architects and R&D engineers to promote best practices and standards for big data challenges.
Requirements
What you’ll bring.
***Candidates must be based in Washington DC or willing to relocate***
- At least eight years of industry experience in data engineering or equivalent, with five years in a lead role managing projects.
- Proficiency in Scala, Java, Python, or related data engineering languages. Strong engineering principles are key, regardless of language.
- Experience building and deploying production batch data processing systems, with an understanding of operational stability and streamlining development, release, and operations.
- Familiarity with modern development tools (Git, Gradle, Nexus) and supporting automation and DevOps tools (Jenkins, Docker, Bash scripting).
- Strong technical communication skills and experience working in dynamic client environments.
- Knowledge of testing libraries like ScalaTest, understanding of different test types, and personal experience writing tests.
Nice to haves.
- Experience mentoring or managing team members’ careers.
- Passion for expanding the business and leading initiatives.
Benefits
Our perks and quirks.
We offer a competitive salary of $175,000-200,000 USD, based on experience, location, and role responsibilities, along with a company bonus.
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