Overview

We're looking for a Senior Data Engineer. Headquartered in Los Angeles, California, Right Balance provides top-tier technology talent for innovative companies in the US. We’re in the top 50 companies to watch in LA.

Client Engagement Details

Our client is a global digital consulting, software engineering, and product development firm that empowers the world's best high-tech companies, disruptive startups, and global enterprises with innovative product design and sophisticated technology engineering services. The company supports global clients with end-to-end digital product development, from strategy and conceptualization to digital product design and agile engineering on scale. Scope of expertise spans many domains, including Healthcare & Medical Technology, Retail & CPG, Transportation & Mobility, Financial Services & FinTech, Energy & Infrastructure, Media & Entertainment, and Deep Tech. Extensive expertise fuses product design and development, enterprise software, SaaS solutions, hardware and firmware engineering, data science, artificial intelligence, and scalable cloud platforms to deliver products and solutions for many of the world's largest brands and used by hundreds of millions of people around the world.

The project is for one of the top 3 high-tech companies in the world. You'll be working on the cutting edge features and products.

What’s in it for you

1. Learn and evolve your skills using the latest and greatest technology tools in a rapidly growing company.
2. Learn from the best people around you. We constantly challenge the status quo and invent new ways of building a great product.
3. Flexible hours. Join daily standups, sprint planning, and retrospective meetings. Other than that you’re in control of your own schedule.
4. 100% remote. Work anywhere, whether it is remotely in the comfort of your home, in a shared co-working space, in an RV on the beach, or while being a nomad in another country.
5. Work on challenging problems, innovate, and positively impact many people's lives while having fun doing it.

Required Qualifications

• Upper-intermediate to fluent speaking and writing English. Able to have a real-time conversation.
• 8+ Years of full-time hands-on Data Engineering experience
• 4+ Years of full-time hands-on Spark experience
• 3+ Years of full-time hands-on Java or Scala experience
• Experience working with data streaming solutions (e.g. Kafka)
• Experience with distributed data storage and retrieval (e.g. Cassandra)
• Experience working on Knowledge Graphs and diving into problems that have not been solved before

Nice to haves

• Experience in music information retrieval and machine learning is a plus
• Bachelor’s degree in Computer Science or equivalent demonstrated ability

Frequently Asked Questions

What are your typical clients?

The majority of our clients are venture-backed startups at the growth stage. Usually, at this stage, the company already achieved a product-market fit and is looking to expand rapidly. That’s where we bring the best engineering practices, strong architecture, the latest technologies, and consistent processes to help companies scale.

What is the length of your engagements?

Most of our long-term full-time engagements last multiple years. It allows you to evolve your career with the client company taking on more responsibilities.

What’s your company size?

The Right Balance team is 60+ engineers going to 100+ by the end of the year. The current client size team is 60+ people. The timing is great to be a part of a rapidly growing team making meaningful contributions.

What happens if the engagement is completed?

Most of our engagements are long-term in nature. That said, if the current engagement is ramping down, we’ll present you with more long-term opportunities to transition into.

What are your core values?

Client First: we only win when our clients win. We treat client challenges as our own.

Ownership: we embrace responsibility, taking on challenges, getting them to completion, and enjoying getting things done.

Quality: we’re passionate about achieving quality outcomes by applying meticulous attention to detail.