

Optomi
Senior Data Engineer
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer with 5+ years of experience, focusing on Snowflake, advanced SQL, and financial datasets. Contract length is unspecified, with a competitive pay rate. Remote work is available. Key skills include Python, ETL, and data pipeline development.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
720
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ποΈ - Date
June 3, 2026
π - Duration
Unknown
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ποΈ - Location
Unknown
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π - Contract
Unknown
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π - Security
Unknown
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π - Location detailed
Burbank, CA
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π§ - Skills detailed
#dbt (data build tool) #ML (Machine Learning) #Automation #Snowflake #SQL (Structured Query Language) #Data Engineering #"ETL (Extract #Transform #Load)" #Airflow #SAP #Python #AI (Artificial Intelligence) #Data Ingestion #Datasets #Data Pipeline #Data Mart #Scala
Role description
Optomi, in partnership with a leading Fortune 500 media and entertainment company, is seeking a Senior Data Engineer to join their team. The successful candidate will play a critical role in building a new Snowflake data platform, focusing on financial data ingestion and modeling. This role requires a deep understanding of Snowflake, advanced SQL skills, and experience with financial datasets. The candidate will collaborate with various teams to deliver high-quality solutions on schedule.
Job Requirements:
β’ 5+ years of experience as a Data Engineer
β’ The role is intended for a senior-level data engineer, not a junior or lightly experienced Snowflake resource.
β’ Hands-on experience delivering robust, maintainable data pipelines for complex enterprise environments.
β’ Expertise in Snowflake: Building data pipelines, Designing and structuring data object, Creating data marts.
β’ Expertise in advanced SQL for data transformation & modeling (e.g., window functions, CTEs).
β’ Python for ETL/ELT, automation, or analytics
β’ Experience with financial datasets AND industry
β’ Prior experience developing financial cost models (Financial planning, financial spend, cost allocation & recovery, etc.)
β’ Knowledge of financial, accounting, or technology operations systems and data such as SAP, Clarity, ServiceNow, Cognos
β’ Familiarity with workflow orchestration tools (DBT, Airflow, etc.).
β’ Strong communication skills
Job Responsibilities:
β’ Develop, automate, and maintain scalable data pipelines
β’ Partner with architects to develop robust data models
β’ Write performant SQL and Python code for cost allocation
β’ Collaborate with product managers, finance teams, and AI/ML engineers
β’ Implement reconciliation processes and IT controls
Optomi, in partnership with a leading Fortune 500 media and entertainment company, is seeking a Senior Data Engineer to join their team. The successful candidate will play a critical role in building a new Snowflake data platform, focusing on financial data ingestion and modeling. This role requires a deep understanding of Snowflake, advanced SQL skills, and experience with financial datasets. The candidate will collaborate with various teams to deliver high-quality solutions on schedule.
Job Requirements:
β’ 5+ years of experience as a Data Engineer
β’ The role is intended for a senior-level data engineer, not a junior or lightly experienced Snowflake resource.
β’ Hands-on experience delivering robust, maintainable data pipelines for complex enterprise environments.
β’ Expertise in Snowflake: Building data pipelines, Designing and structuring data object, Creating data marts.
β’ Expertise in advanced SQL for data transformation & modeling (e.g., window functions, CTEs).
β’ Python for ETL/ELT, automation, or analytics
β’ Experience with financial datasets AND industry
β’ Prior experience developing financial cost models (Financial planning, financial spend, cost allocation & recovery, etc.)
β’ Knowledge of financial, accounting, or technology operations systems and data such as SAP, Clarity, ServiceNow, Cognos
β’ Familiarity with workflow orchestration tools (DBT, Airflow, etc.).
β’ Strong communication skills
Job Responsibilities:
β’ Develop, automate, and maintain scalable data pipelines
β’ Partner with architects to develop robust data models
β’ Write performant SQL and Python code for cost allocation
β’ Collaborate with product managers, finance teams, and AI/ML engineers
β’ Implement reconciliation processes and IT controls






