Data Engineer

Years from now, history will look back at this moment as a landmark for the human race—the moment when generative artificial intelligence began to change everything. Luckily, you happen to be living through it. Now what?

If you’re one of those rare people driven to add their intellectual energy to the relentless momentum of technological advancement, consider Loka your optimal leverage point.

Loka is a globally distributed tech consultancy based in Silicon Valley, and we’re seeking a Senior Data Engineer to join our growing team. In this role you will design, implement and scale data solutions from batch to streaming, dealing with the low-latency requirements of a few megabytes up to several petabytes. You will be an evangelist of good practices and dwell at the cutting edge of new technologies and architectural patterns. Ultimately we expect that you will not just fit in with our Data crew but elevate it to new heights.

We help our clients launch innovations that fix the climate, defeat cancer, improve agricultural efficiencies, teach kids to read and more. We work with all kinds of companies, from Silicon Valley startups to major household brands, always guided by our fundamental belief that mission matters. We count more than 200 certified specialists, technical experts and PhDs among our colleagues—committed Lokals who contribute to their brilliance not only to serving our clients but to mentoring junior colleagues as well. We work entirely remotely, test new ideas with our in-house incubator and take every other Friday off (really).

To cap it off, at the end of 2024 Loka was recognized by AWS as Innovation Partner of the Year, beating more than 150,000 partners for the title.

We’re as proud of our culture as we are of our projects. You will be too. Join our team, feed your need to grow and ship projects you believe in with a team you’re proud to be a part of.

The Role

• Build scalable production-grade data pipelines and real-time data streams.
• Write and design scalable, cloud-ready applications.
• Lead technical projects through architecture, design and implementation phases.
• Engage with clients to understand their business and technical needs, evaluate potential solutions, and define high-level implementation approaches and estimates.
• Collaborate with Machine Learning, Data Science, Design, Software Engineering and Business teams to triage data or ETL issues.
• Build tests and health checks to maintain code and data quality.
• Monitor and analyze data flowing through various systems by adding appropriate visualizations and dashboards.
• Contribute to internal engineering initiatives and projects, helping identify opportunities for improvement, evaluate solutions, and drive their implementation.