Overview

We're looking for a strong senior-level data engineer. Headquartered in Los Angeles, California, Right Balance applies the latest technology and the best engineering practices to help businesses grow. We’re in the top 50 companies to watch in LA.

Engagement Details

Our client is the customer intelligence partner that empowers businesses to maximize customer-level profitability. The team (former Facebook, PayPal, and Stanford alums) has built a product that can predict individual customer lifetime value at the earliest point of customer contact and changed how brands view their relationships with their customer. Using data science to predict future buying behavior of consumers and recommend actions that businesses can take around those predictions.

As a Senior Data Engineer, you will be working closely with an AI technology leader and seasoned hands-on multi-startup CTO with over 15 years of experience to leverage the best technologies and techniques to build out DataOps. That is to automate fast, available, and accurate data to super-charge the data science delivered to clients like Dollar Shave Club, Nestlé, Madison Reed, and Capital One. If you are a self-starter focused on results that loves automating via code, are comfortable with AWS services, and have had experience with Big Data systems, join us!

What’s in it for you

1. Work with the latest and greatest technologies for a venture-backed startup. 2. Learn from the best people. We constantly challenge the status quo, learn from each other, and invent new ways of building a great product.

3. We actually write automated tests. We take advantage of the latest automation tools like automatic deployments, CI/CD pipelines, and more.

4. Flexible hours. Just join daily standups, sprint planning, and retrospective meetings. Other than that you’re in control of your own schedule.

5. Work remotely at the comfort of your home or a shared co-working space. 6. Work on challenging problems, innovate, have fun while doing it.

7. Travel around the world. We offer occasional business trips to work with our clients face to face from their offices.

Required Qualifications

1. 4+ years of full-time hands-on data engineering experience.

2. 3+ years of SQL databases and big data experience.

3. 2+ years of cloud infrastructure experience (AWS, Google Cloud, Azure).

4. 2+ years of Python experience.

5. 2+ years of Apache Spark experience.

6. Able to have a conversation about technical details speaking and writing English in real time.

7. Experience in at least one big data relational database technology such as Snowflake, Cassandra, Redshift, BigQuery.

8. Experience with PySpark.

Nice to haves

1. Bachelors or Masters in Engineering, Computer Science, or related technical degree.

2. Experience working with big data and/or marketing data applications.

3. Databricks experience.

4. Experience with working extensively in AWS.

Nice to haves

1. Bachelors or Masters in Engineering, Computer Science, or related technical degree.

2. Experience working with big data and/or marketing data applications.

3. Databricks experience.

4. Experience with working extensively in AWS.

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, and the latest technologies to help companies scale.

What is the length of your projects?

Most of our long-term full-time engagements last multiple years.

What’s your company size?

The Right Balance team is 10 - 15 engineers. The current client team size is 30 engineers expanding to 50 engineers by the end of this year . It’s exciting to be a part of this growth making some meaningful contributions.

What happens if the engagement is completed?

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

What are your core values?

We value autonomy, grind, empathy, mastery, and giving back to the community. We expect you to be autonomous, working directly with the client to build the best product. We value hard work, helping each other, constant learning, open-source contributions, and knowledge sharing.