Overview

We're looking for a 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 technology consultancy with a strong focus on Data and Security, enhanced with advanced GenAI capabilities. They operate as an AWS Advanced Partner and support clients across strategy, design, implementation, and follow-the-sun support. For this engagement, they are partnering with a globally recognized leader in interactive entertainment to build and scale data infrastructure that powers insights, ML/GenAI pipelines, and product decisions at massive scale.

What You’ll Do:

• Design, build, and optimize scalable pipelines for data supporting insight into the Data Foundation ecosystem.
• Design and implement data models using industry best practices that capture a complete ecosystem view of internal customer experiences, while ensuring accuracy, scalability, and long-term usability.
• Architect and implement robust, maintainable, and high-performance data solutions.
• Automate workflows to reduce manual intervention and enhance data processing efficiency, including automation for content, growth, and pubsports areas of coverage.
• Optimize query performance and resolve pipeline bottlenecks to improve data accessibility.
• Evaluate and adopt new tools, frameworks, and methodologies to advance data engineering capabilities.
• Support cost optimization by ensuring scalable and efficient data solutions.
• Ensure data quality, governance, and compliance with regulatory standards (e.g., GDPR, CCPA).
• Contribute to the Data Engineering discipline shaping infrastructure, craft standards, tooling, and organizational best practices.

Availability: Full-time, and overlap with Eastern Time.

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. 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.
4. 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.
• 5+ years of full-time hands-on Data Engineer experience.
• 5+ years of full-time hands-on Python experience.
• 3+ years of full-time hands-on Spark experience.
• 3+ years of full-time hands-on SQL experience.
• 4+ years of full-time hands-on Airflow experience.
• 4+ years of full-time hands-on Databricks experience.
• 3+ years of full-time hands-on DBT experience.
• 3+ years of full-time hands-on AWS experience.
• Strong expertise in big-data technologies including Spark, Scala, Airflow, and dbt.
• Proficiency designing efficient and scalable data models across large, multi-team data sets.
• Demonstrated ability to work cross-functionally with engineering, analytics, and product teams.
• Proven experience mentoring and guiding other engineers.

Nice to haves

• GoLang experience.
• Tableau experience for data visualization and dashboard development.
• Experience with ML Operations and GenAI pipelines and infrastructure.
• Experience with GoLang in a data engineering context.
• 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 55+ engineers going to 75+ by the end of the year. The current client size team is 125+ 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.