Data Engineer
Role details
Job location
Tech stack
Job description
We're looking for a Senior Data Engineer to design and build robust, open, and scalable data systems that power everything from product analytics to machine learning to internal tooling. You'll play a pivotal role in shaping how data moves through our systems using open-source tools and open standards whenever possible.
This is a hands-on role for someone who relishes in the details of data design, loves building systems that are observable and reproducible, and believes deeply in avoiding vendor lock-in. This role combines backend engineering discipline with a product mindset. What You'll Do
- Own data pipelines and deliveries end to end, from design through production and iteration
- Design, build, and evolve scalable data architectures for data-intensive workloads supporting analytics, reporting, and downstream consumers
- Implement reliable ingestion, transformation, and enrichment pipelines for event-based data
- Develop and maintain well-modeled, reproducible data assets that are easy to discover and reuse across teams
- Partner closely with engineering, machine learning, and product teams to ensure data is accurate, timely and fit for purpose
- Build strong observability into data workflows, enabling monitoring, debugging, and performance tuning
- Ship fast, learn fast; continuously delivering value and refining based on user feedback
Requirements What Success Looks Like
- Data products and pipelines you've built are widely adopted and trusted by engineering, product and machine learning teams
- You can quickly translate product and business requirements into clear, well-structured data models and datasets
- Reliability, performance, scalability, and data quality are built into every data workflow and release
- You are seen as a trusted partner by product, design and engineering peers, * Flourish in the Unknown: We relish being thrown into new, unfamiliar situations that require initiative and rapid decision-making.We orient ourselves quickly and deliver results with minimal guidance.
- Never Full: We never hesitate to raise our hands and take on challenges to assist those in need. We hunger for opportunities to learn and do more.
- Perfect Harmony: We have a genuine willingness to assist and support one another to create cohesion and unity. We foster success through collaboration and honest sharing of feedback and ideas, enabling everyone to grow and produce their best work.
Requirements
- Strong experience building and operating data-intensive systems using Java or Python and SQL
- Solid expertise in data modeling, schema design, and managing analytical data at scale in cloud environments
- Experience with event-driven data architectures and streaming-based ingestion patterns
- A preference for open standards, interoperability, and maintainable, vendor-neutral system design
- Excellent collaboration and communication skills in cross-functional teams
You Might Be a Fit if You…
- Love solving complex data challenges with simplicity and speed
- Thrive in fast-paced startup environments where ambiguity is the norm
- Enjoy shaping culture and engineering practices, not just writing code
- See AI as a tool to help you build smarter, faster, and better
Benefits & conditions
Why Join Us
This isn't just a job; it's an opportunity to be part of a team that is redefining cybersecurity. We believe today's talent is tomorrow's success, and we're committed to creating an environment where you can do the best work of your life.
- Competitive pay and meaningful equity with a direct stake in Harmonic's success
- Comprehensive benefits, pension plan, generous PTO, and flexible hybrid work
- A small, passionate team that values transparency, creativity, and learning
- Thoughtful leadership that cares deeply about growth, impact, and people
- Annual global offsites (past trips include Lisbon and Nashville)
- The chance to directly shape both our product and our culture as we build a category-defining company