Trinus Corporation
Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer, contract length unspecified, with a pay rate of "unknown". Work location is "remote". Key skills required include Databricks, SQL, ETL/ELT development, and cloud technologies like Snowflake, Azure, or AWS.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
July 14, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Newport Beach, CA
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🧠 - Skills detailed
#Security #Cloud #Snowflake #SQL (Structured Query Language) #Data Engineering #Datasets #Automation #AWS (Amazon Web Services) #Databricks #Data Quality #Azure #Data Governance #Scala #Data Integration #Data Modeling #Data Warehouse #Deployment #"ETL (Extract #Transform #Load)" #DevOps
Role description
We are seeking an experienced Data Engineer to join a growing enterprise data team. In this role, you will design, develop, and support scalable cloud data solutions that enable enterprise analytics, reporting, and data-driven decision-making.
Key Responsibilities:
• Design, develop, and maintain scalable ETL/ELT pipelines and cloud-based data solutions.
• Build, optimize, and support enterprise data platforms and cloud data warehouses.
• Ensure data quality, governance, security, and performance across large-scale datasets.
• Collaborate with architects, analysts, and business stakeholders to deliver reliable, high-quality data solutions.
• Support DevOps, CI/CD, and automation initiatives to improve data engineering processes and deployment efficiency.
Required Skills & Qualifications:
The ideal candidate will have hands-on experience building and supporting modern cloud data platforms. Strong expertise in Databricks and Ataccama is required. Candidates should also have solid experience with SQL, ETL/ELT development, and cloud data warehouse technologies such as Snowflake, Azure, or AWS. Experience with DevOps and CI/CD practices, along with a strong background in data modeling, data integration, data governance, and performance optimization, is essential.
We are seeking an experienced Data Engineer to join a growing enterprise data team. In this role, you will design, develop, and support scalable cloud data solutions that enable enterprise analytics, reporting, and data-driven decision-making.
Key Responsibilities:
• Design, develop, and maintain scalable ETL/ELT pipelines and cloud-based data solutions.
• Build, optimize, and support enterprise data platforms and cloud data warehouses.
• Ensure data quality, governance, security, and performance across large-scale datasets.
• Collaborate with architects, analysts, and business stakeholders to deliver reliable, high-quality data solutions.
• Support DevOps, CI/CD, and automation initiatives to improve data engineering processes and deployment efficiency.
Required Skills & Qualifications:
The ideal candidate will have hands-on experience building and supporting modern cloud data platforms. Strong expertise in Databricks and Ataccama is required. Candidates should also have solid experience with SQL, ETL/ELT development, and cloud data warehouse technologies such as Snowflake, Azure, or AWS. Experience with DevOps and CI/CD practices, along with a strong background in data modeling, data integration, data governance, and performance optimization, is essential.
