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Music Data Analytics Interns Jobs in Florida (NOW HIRING)

Sr Associate Data Analytics

Tampa, FL · On-site +1

$95K - $117K/yr

... project, internship, thesis, or one year of experience the following: Design and develop ... data extraction and analysis; Engaging in Change Management Processes to ease the process of ...

Data Analyst

Miami, FL · On-site +1

$75K - $85K/yr

... analytics, or optimization techniques through coursework, projects, internships, or professional ... Data analytics or business analytics * Statistical modeling or machine learning * Data ...

Sr. Data Analyst

Orlando, FL

$80K - $101K/yr

Bachelor's degree is required in Business Analytics, Computer Information Systems, Industrial ... Prior internship or work experience is preferred * Strong intellectual curiosity paired with ...

Sr. Data Analyst

Orlando, FL

$80K - $101K/yr

Bachelor's degree is required in Business Analytics, Computer Information Systems, Industrial ... Prior internship or work experience is preferred * Strong intellectual curiosity paired with ...

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Luminate: Engineering Manager Tampa, FL

Luminate Data, LLC.

Tampa, FL • On-site

$150 - $180/hr

Other

Posted 11 hours ago

Posted today


Job description

Luminate Data, LLC is the entertainment industry’s preeminent data and insights partner, serving as the single source of truth for record labels, film studios, talent agencies, and every part of the music and entertainment ecosystem. By aggregating data from over 500 verified sources, Luminate provides customers with the objective validation needed to make critical business decisions and track global market share. While its data famously fuels the Billboard Charts and the Variety Streaming Originals Charts, Luminate’s primary mission is to empower the entertainment industry with essential, accurate and objective data.

Luminate is the world’s most comprehensive entertainment data company.

Your Role In Our Mission

As an Engineering Manager, you will:

  • Lead and grow a team of high-performing data engineers building cloud-native analytics and services for a modern music data and insights company, including hiring, coaching, performance management and career paths planning.
  • Own roadmap, delivery, and people leadership while partnering with Product, Royalties/Finance, Rights Management, and Business Affairs to turn complex music metadata and consumption signals into trustworthy, timely insights.
  • Own delivery of data products: ingestion, modeling, governance, and serving layers powering royalty reporting, marketing analytics, A&R insights, and catalog optimization. Architect cloud solutions with Snowflake at the core (warehouses, tasks/streams, Snowpipe/Snowpipe Streaming, dynamic tables, masking/tagging, RBAC), integrating with orchestration (e.g., Airflow) and transformation (dbt), plus CI/CD.
  • Partner with domain teams to model music-specific entities (ISRC, ISWC, UPC/EAN; sound recording vs. composition; territories; DSP feeds) and reconcile across labels, publishers, and PROs.
  • Drive reliability and cost efficiency: SLAs/SLOs, incident response, capacity planning, and spend optimization (warehouse sizing, result caching, clustering/micro-partitioning).
  • Set standards for code quality, testing, observability, and data quality (contracts, validation, lineage).
  • Manage stakeholders: maintain a transparent backlog, tight feedback loops, and outcome-based roadmaps.
  • Travel to Los Angeles and New York City for internal company meetings on a quarterly basis, generally lasting for one week.

REQUIREMENTS:

  • A master’s degree in Computer Science, Data Science, or closely related field with six (6) years of experience as data engineer, software engineer, developer, programmer, coder, or closely related occupation, including six (6) years of hands-on cloud experience (using AWS, Azure, or GCP) designing and operating production data systems, three (3) years of experience managing engineers, three (3) years of experience with music industry, three (3) years of experience with each of the following: Snowflake, SQL, data modeling, IaC (Terraform), Containerization (Kubernetes), Python, Data Search Engines (such as OpenSearch, ElastiSearch, Kibana, or related caching service technology), and CI/CD (Jenkins, Github Actions, Bitbucket Pipelines, or GitLabs).
  • Travel to Los Angeles and New York City for internal company meetings on a quarterly basis, generally lasting for one week.
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