Trigent Software Inc
Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer on a 12-month contract, offering a competitive pay rate. Requires 10+ years of experience in data engineering, strong SQL skills, and familiarity with cloud environments. Expertise in ETL, data modeling, and data governance is essential.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
February 5, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
Unknown
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📄 - Contract
Fixed Term
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🔒 - Security
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#Version Control #Data Governance #Microsoft Power BI #Data Pipeline #Scala #Data Access #Strategy #Data Modeling #Looker #Tableau #Snowflake #Data Engineering #BigQuery #"ETL (Extract #Transform #Load)" #AWS (Amazon Web Services) #Agile #Data Quality #Visualization #Redshift #BI (Business Intelligence) #Data Integrity #GIT #Data Security #Security #Data Analysis #Azure #Cloud #dbt (data build tool) #SQL (Structured Query Language) #Datasets #GCP (Google Cloud Platform)
Role description
12 months contract
What you’ll do:
• Design and develop high-performance, scalable, and reliable data models for our attribution and measurement platforms.
• Build and maintain robust ETL/ELT pipelines to ingest, transform, and load large datasets from various sources.
• Collaborate with data engineers and analysts to define semantic layers and ensure consistency across data sources
• Manage the end-to-end pixel tracking solution, ensuring high availability and low-latency data capture for critical measurement needs
• Implement and promote best practices for data governance, data quality, and data security.
• Enable self-service data access and analysis for stakeholders through well-designed data platforms and tools.
• Monitor data pipeline performance, troubleshoot issues, and optimize for efficiency and cost.
• Contribute to the overall architecture and strategy of our data platform.
Who you are:
• 10+ years of hands-on data engineering experience, with a strong track record of designing, building, and optimizing data platforms in high-volume or ad tech environments.
• A strong collaborator who thrives in a cross-functional setting, effectively communicating technical concepts to diverse audiences
• Strong SQL skills, including complex joins, aggregations, and performance tuning
• Experience working with semantic layers and data modeling for analytics
• Solid understanding of data analysis and visualization best practices
• Passionate about data quality and governance, with an eye for detail and a commitment to maintaining data integrity
• Experience using version control systems, preferably Git
• Excellent communication skills and the ability to work cross-functionally
• Familiarity with modern data warehousing platforms (e.g., Snowflake, BigQuery, Redshift)
• Experience working in cloud environments such as AWS, GCP, or Azure (nice to have)
• Experience migrating from legacy BI tools (e.g., Tableau, Power BI, etc.) to Looker
• Experience working in agile data teams and managing BI projects
• Familiarity with dbt or other data transformation frameworks
12 months contract
What you’ll do:
• Design and develop high-performance, scalable, and reliable data models for our attribution and measurement platforms.
• Build and maintain robust ETL/ELT pipelines to ingest, transform, and load large datasets from various sources.
• Collaborate with data engineers and analysts to define semantic layers and ensure consistency across data sources
• Manage the end-to-end pixel tracking solution, ensuring high availability and low-latency data capture for critical measurement needs
• Implement and promote best practices for data governance, data quality, and data security.
• Enable self-service data access and analysis for stakeholders through well-designed data platforms and tools.
• Monitor data pipeline performance, troubleshoot issues, and optimize for efficiency and cost.
• Contribute to the overall architecture and strategy of our data platform.
Who you are:
• 10+ years of hands-on data engineering experience, with a strong track record of designing, building, and optimizing data platforms in high-volume or ad tech environments.
• A strong collaborator who thrives in a cross-functional setting, effectively communicating technical concepts to diverse audiences
• Strong SQL skills, including complex joins, aggregations, and performance tuning
• Experience working with semantic layers and data modeling for analytics
• Solid understanding of data analysis and visualization best practices
• Passionate about data quality and governance, with an eye for detail and a commitment to maintaining data integrity
• Experience using version control systems, preferably Git
• Excellent communication skills and the ability to work cross-functionally
• Familiarity with modern data warehousing platforms (e.g., Snowflake, BigQuery, Redshift)
• Experience working in cloud environments such as AWS, GCP, or Azure (nice to have)
• Experience migrating from legacy BI tools (e.g., Tableau, Power BI, etc.) to Looker
• Experience working in agile data teams and managing BI projects
• Familiarity with dbt or other data transformation frameworks
