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.

Engagement Details

What You’ll Do

You won’t just tinker with datasets—you’ll architect the data backbone that powers our entire app experience. You’ll be the wizard behind the curtain, designing efficient data pipelines, modeling like a pro, and turning raw information into actionable insights. Your work will directly influence core decisions across product, engineering, and growth teams.

Here’s How You’ll Leave Your Mark

• Conjure Data Magic: Design, build, and maintain data pipelines that transform messy raw data into pristine information streams—ready for high-impact dashboards and analytics.
• Be the Guardian of Quality: Ensure every row, every column, and every insight is spotless, consistent, and accurate. No anomalies slip past you.
• Architect Data Models: Build data structures that make querying fast, analytics easy, and real-time decision-making a breeze.
• Collaborate at Scale: Partner with Product Managers, Software Engineers, and Marketing to identify data requirements. You’ll shape our KPIs and ensure everyone has the insights they need.
• Centralize & Standardize: Champion a unified data ecosystem. From ingestion to analytics, you’ll guide the team to adopt best practices that scale effortlessly.
• Innovate & Iterate: Spot opportunities to optimize processes, adopt new tools, and keep us on the cutting edge of data technology.

What You’ll Bring to the Table

• DBT & Python Superpowers: You’re fluent in Python and use DBT like a wizard’s wand.
• Segment: We orchestrate all of our data with Segment, you are a Segment wiz.
• Warehouse Know-How: BigQuery, Redshift, Snowflake—been there, crushed that. And you’ve orchestrated pipelines with Airflow, Fivetran, or Airbyte.
• ETL/ELT Expertise: You design, build, and maintain sophisticated pipelines that move data seamlessly.
• Data Model Vision: You understand how to create efficient, scalable data structures for maximum insight.
• Cloud Savvy: Experience in GCP or AWS, and launching data centric services (BigQuery, Redshift etc..).

Why You’ll Love Working with Us

• Early Impact: You’ll be one of the first employees at a fast-growing startup. Your fingerprints will be all over our data universe.
• Rocket Growth: We’re experiencing explosive expansion—be part of the journey and watch your own career soar.
• Shape Our Culture: Help define our values, collaborate on world-class practices, and influence who we hire next.
• Endless Opportunities: As we grow, you grow. The sky’s the limit for your career trajectory.
• Mission-Driven Team: We work hard, innovate nonstop, and serve our community of users with passion.
• Compensation & Perks: Competitive base salary, equity package, benefits—and the freedom to work where and when you do your best work.

Location

Remote (with a 9am Central Time daily standup, and at least 5 hours overlapping CST)

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.
• 6+ 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 DBT experience.
• 3+ years of full-time hands-on BigQuery/Redshift/Snowflake experience.
• 3+ years of full-time hands-on GCP/AWS experience.
• 2+ years of full-time hands-on Airflow/Fivetran/Airbyte experience.
• 2+ years of full-time hands-on Data Modeling experience.
• Fast Learner, Fast Mover: You thrive in a high velocity, async environment and translate complex data into clear business wins.
• Startup Mindset: You’re self-directed, driven, and all about innovation. You don’t wait for permission—you make things happen. And you have previous experience working with startups.
• Communication Chameleon: You speak tech with engineers, strategy with leadership, and everything in between with non-technical teams.

Nice to haves

• Segment experience.
• Performance Mastery: Experience developing and supporting large-scale data pipelines.
• Data Lake & BI Solutions: You’ve built entire data platforms, data lakes, or next-level BI solutions.
• Cloud Formation Wizardry: You can spin up infrastructure templates in your sleep.
• Visualization Guru: Tableau, Power BI, Mixpanel—turning data into insights is second nature.
• 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 141+ 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.