

Trinus Corporation
Senior Data Engineer
β - Featured Role | Apply direct with Data Freelance Hub
This role is a Senior Data Engineer for a contract length of "unknown" with a pay rate of "unknown," located in "unknown." Key skills include Snowflake, DBT, Matillion, SQL, and experience in financial services. A Bachelor's degree in a related field is required.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
Unknown
-
ποΈ - Date
February 7, 2026
π - Duration
Unknown
-
ποΈ - Location
Unknown
-
π - Contract
Unknown
-
π - Security
Unknown
-
π - Location detailed
Newport Beach, CA
-
π§ - Skills detailed
#Matillion #Data Management #dbt (data build tool) #"ETL (Extract #Transform #Load)" #Mathematics #Automation #Security #Cloud #Agile #Scala #Data Engineering #Batch #DevOps #Snowflake #Data Warehouse #SQL (Structured Query Language) #Computer Science #Data Integration #Data Architecture #DataOps
Role description
Responsibilities:
β’ Partnering with data architects, analysts, engineers, and business stakeholders to understand data requirements and deliver solutions in an effective manner.
β’ Build scalable & reliable solutions with robust security, quality, performance, and governance protocols.
β’ Deliver solutions aligned with modern target state architecture and cloud-based technologies.
β’ Create and maintain design artifacts that support data engineering solutions.
β’ Promoting a culture of continuous improvement and agile methodologies.
β’ Ensure data engineering standards and best practices are followed.
β’ Demonstrate adaptability, initiative and attention to detail through deliverables and ways of working.
The experience you bring:
β’ Ability & experience leading DataOps/DevOps team that include release, deploy, operate and monitor data products.
β’ 1+ years of experience in Snowflake, Data Build Tool (DBT), & Matillion.
β’ 4+ years of relevant experience in analysis, design, development, and delivery of data.
β’ 4+ years of experience and proficiency in SQL, ETL, ELT, leading cloud data warehouse technologies, and data management tools.
β’ Understanding data engineering best practices and data integration patterns.
β’ 2+ years of experience with DevOps and CI/CD.
β’ Effective communication & facilitation; both verbal and written.
β’ Collaborating effectively with team and stakeholders.
β’ Strong problem-solving skills with ability to break down complex data solutions.
What makes you stand out:
β’ Experience with automation, optimization and innovation in data management and batch cycle environments.
β’ Financial services domain knowledge.
β’ Data driven individual with ability to set up effective processes in your sphere of ownership.
β’ Strong communication with the ability to translate business requirements into technical specifications.
β’ Experience delivering Finance domain data engineering solutions.
β’ Experience with Control M orchestration tool.
Education:
β’ Bachelorβs degree in computer science, information systems, mathematics, analytics or related field.
Responsibilities:
β’ Partnering with data architects, analysts, engineers, and business stakeholders to understand data requirements and deliver solutions in an effective manner.
β’ Build scalable & reliable solutions with robust security, quality, performance, and governance protocols.
β’ Deliver solutions aligned with modern target state architecture and cloud-based technologies.
β’ Create and maintain design artifacts that support data engineering solutions.
β’ Promoting a culture of continuous improvement and agile methodologies.
β’ Ensure data engineering standards and best practices are followed.
β’ Demonstrate adaptability, initiative and attention to detail through deliverables and ways of working.
The experience you bring:
β’ Ability & experience leading DataOps/DevOps team that include release, deploy, operate and monitor data products.
β’ 1+ years of experience in Snowflake, Data Build Tool (DBT), & Matillion.
β’ 4+ years of relevant experience in analysis, design, development, and delivery of data.
β’ 4+ years of experience and proficiency in SQL, ETL, ELT, leading cloud data warehouse technologies, and data management tools.
β’ Understanding data engineering best practices and data integration patterns.
β’ 2+ years of experience with DevOps and CI/CD.
β’ Effective communication & facilitation; both verbal and written.
β’ Collaborating effectively with team and stakeholders.
β’ Strong problem-solving skills with ability to break down complex data solutions.
What makes you stand out:
β’ Experience with automation, optimization and innovation in data management and batch cycle environments.
β’ Financial services domain knowledge.
β’ Data driven individual with ability to set up effective processes in your sphere of ownership.
β’ Strong communication with the ability to translate business requirements into technical specifications.
β’ Experience delivering Finance domain data engineering solutions.
β’ Experience with Control M orchestration tool.
Education:
β’ Bachelorβs degree in computer science, information systems, mathematics, analytics or related field.






