Full-Time

Staff Data Software Engineer

Confirmed live in the last 24 hours

Luminate

Luminate

51-200 employees

Provides data and insights for entertainment

Data & Analytics
Entertainment

Compensation Overview

$155k - $200kAnnually

Senior

Los Angeles, CA, USA

In-person collaboration expected 2-3 days a week.

Category
Backend Engineering
FinTech Engineering
Software Engineering
Required Skills
Python
Data Science
SQL
Apache Kafka
AWS
Pandas
Data Analysis
Snowflake
Requirements
  • Deep, meaningful and recent development experiences with three or more of the following is desired but not required:
  • An exceptional foundation of computer science fundamentals
  • Python with dbt or other robust data pipeline frameworks and tools (Pyspark, pandas, Kafka or equivalent store and stream processing platform, etc) along with SQL.
  • CI/CD experience, ideally with low/no-downtime deployments for a SaaS product.
  • Best practices for development with public cloud environments, preferably AWS
  • Experience with Snowflake or other big data warehousing systems.
  • Data analytics or warehousing experience in an environment with demanding customers or regulatory requirements
  • Data ingestion and query optimization best practices
  • Domain knowledge of any entertainment industry’s data modeling or business operations
  • Experiences with the challenges of testing data analytics products and the underlying data sets that power them.
Responsibilities
  • Working with your team to deliver on our product roadmap utilizing modern software development practices.
  • Developing not just the code, but all other parts of the stack for the work: tests, infrastructure, etc. We’re a small team and we want to develop competencies across the entire stack for the mutual benefit of the whole team.
  • Helping advise and educate on engineering best practices and participating in design and architecture discussions to help make sure our work stays aligned with business objectives.
  • Managing risk and uncertainty while moving forward with the business as we bring our platform to new markets and audiences.
  • Contributing back to our nascent engineering practice in ways that best demonstrate your own unique strengths.

Luminate specializes in providing data and insights specifically for the entertainment industry, focusing on music, film, and television. The company collects and verifies data through exclusive partnerships, ensuring high integrity and accuracy. Clients, including music labels, film studios, and television networks, use Luminate's data to inform their strategic decisions, marketing efforts, and content creation. Luminate's business model includes data licensing, syndication, and consulting services, allowing clients to access comprehensive datasets for market analysis and planning. The company stands out from competitors by offering reliable and transparent data, built on years of consistent delivery. Luminate's goal is to empower clients with essential insights that shape their strategies and decisions in the entertainment market.

Company Stage

Acquired

Total Funding

N/A

Headquarters

Los Angeles, California

Founded

2020

Growth & Insights
Headcount

6 month growth

-7%

1 year growth

0%

2 year growth

0%
Simplify Jobs

Simplify's Take

What believers are saying

  • Increased demand for data-driven insights boosts Luminate's client base and offerings.
  • Acquisition of Quansic enhances Luminate's music data offerings and client attraction.
  • Growing K-pop popularity presents lucrative opportunities for specialized data insights.

What critics are saying

  • Spotify's royalty model changes may impact Luminate's data accuracy and client trust.
  • Integration challenges from Quansic acquisition could disrupt Luminate's data systems.

What makes Luminate unique

  • Luminate is a trusted global data provider in the entertainment industry.
  • The company specializes in music, film, and television data insights.
  • Luminate leverages exclusive partnerships for high-integrity data collection and verification.

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