

SSi People
Senior Analytics Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Analytics Engineer with 5+ years of experience in analytics engineering or data science, requiring music industry experience. Contract length is unspecified, pay rate is W2 only, and remote work is within EST hours. Key skills include DBT, SQL, and cloud data warehouses.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
April 8, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Remote
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#AI (Artificial Intelligence) #Databricks #Datasets #dbt (data build tool) #BI (Business Intelligence) #"ETL (Extract #Transform #Load)" #Version Control #BigQuery #Data Science #Snowflake #Automation #Airflow #Cloud #Data Pipeline #Redshift #Scala #Data Engineering #SQL (Structured Query Language) #Data Warehouse
Role description
Job Title: Senior Analytics Engineer
Location: New York, New York (Remote) - EST work hours
W2 ONLY - We are not able to sponsor now or in the future for this role
Music Industry Experience Is Required For This Role
Job Summary: Were looking for a Senior Analytics Engineer to help build the data foundations. This is a greenfield project - you'll take a program from zero to one, standing up the core data infrastructure, measurement workflows, and audience tooling needed to support a large-scale marketing and support effort. At the same time, you'll apply and extend these patterns across our existing for marketing programs, strengthening the shared data foundation that powers multiple brand initiatives.
Requirements
• Music industry experience is required for this role
• You have 5+ years of experience in analytics engineering, data engineering, business intelligence, or data science in a fast paced environment.
• You have hand son experience with DBT, including building modular, well tested transformations and managing dependencies.
• You actively experiment with emerging AI tools and patterns (e.g., AI-assisted analysis, summarization, workflow automation), and you can translate new capabilities into reliable, scalable insights workflows.
• You have prior experience designing or supporting hybrid, human-in-the-loop data workflows, where stakeholder-managed inputs (e.g., spreadsheets or internal tools) feed automated, production-grade analytics pipelines.
• You're highly proficient in SQL and comfortable working with large, complex datasets.
• Youve built and maintained productionized data pipelines with orchestration tools (e.g., Airflow, Dagster, Prefect) and are familiar with version control and code review workflows.
• You have experience with at least one major cloud data warehouse (e.g., BigQuery, Snowflake, Redshift, Databricks, or similar).
About SSI People: With over 26 years of industry experience, SSi People has built its reputation and expertise on putting people first. Everything we do works toward delivering exceptional experience for our consultants, our clients, and our internal team. Through a genuine commitment to people in everything we do. We have developed refined processes and a stellar internal team to deliver talent quickly. More importantly, we focus on building long-term relationships, not transactions. Putting people first is just what we do well.
By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from SSi People and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here: SSi People Privacy Policy
Job Title: Senior Analytics Engineer
Location: New York, New York (Remote) - EST work hours
W2 ONLY - We are not able to sponsor now or in the future for this role
Music Industry Experience Is Required For This Role
Job Summary: Were looking for a Senior Analytics Engineer to help build the data foundations. This is a greenfield project - you'll take a program from zero to one, standing up the core data infrastructure, measurement workflows, and audience tooling needed to support a large-scale marketing and support effort. At the same time, you'll apply and extend these patterns across our existing for marketing programs, strengthening the shared data foundation that powers multiple brand initiatives.
Requirements
• Music industry experience is required for this role
• You have 5+ years of experience in analytics engineering, data engineering, business intelligence, or data science in a fast paced environment.
• You have hand son experience with DBT, including building modular, well tested transformations and managing dependencies.
• You actively experiment with emerging AI tools and patterns (e.g., AI-assisted analysis, summarization, workflow automation), and you can translate new capabilities into reliable, scalable insights workflows.
• You have prior experience designing or supporting hybrid, human-in-the-loop data workflows, where stakeholder-managed inputs (e.g., spreadsheets or internal tools) feed automated, production-grade analytics pipelines.
• You're highly proficient in SQL and comfortable working with large, complex datasets.
• Youve built and maintained productionized data pipelines with orchestration tools (e.g., Airflow, Dagster, Prefect) and are familiar with version control and code review workflows.
• You have experience with at least one major cloud data warehouse (e.g., BigQuery, Snowflake, Redshift, Databricks, or similar).
About SSI People: With over 26 years of industry experience, SSi People has built its reputation and expertise on putting people first. Everything we do works toward delivering exceptional experience for our consultants, our clients, and our internal team. Through a genuine commitment to people in everything we do. We have developed refined processes and a stellar internal team to deliver talent quickly. More importantly, we focus on building long-term relationships, not transactions. Putting people first is just what we do well.
By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from SSi People and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here: SSi People Privacy Policy





