Rivago Infotech Inc
Project Lead/Manager - Data Engineering Projects
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Project Lead/Manager in Data Engineering Projects, contract length unspecified, with a pay rate of $65.00 - $68.00 per hour. Requires 12-15 years of experience, strong SQL, Snowflake, DBT skills, and life sciences industry experience.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
544
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🗓️ - Date
November 8, 2025
🕒 - Duration
Unknown
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Morrisville, NC 27560
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🧠 - Skills detailed
#GIT #Version Control #SQL (Structured Query Language) #Snowflake #Data Quality #Scrum #Programming #Security #Agile #BI (Business Intelligence) #dbt (data build tool) #SQL Server #Scala #Data Pipeline #Data Engineering #"ETL (Extract #Transform #Load)" #Stories
Role description
Role Summary:
Overall Data Project coordination, working with client stakeholders, PO and Persistent onsite and offshore team for task planning and resolving dependencies
Design and build scalable data pipelines and integrations using Snowflake, DBT, and SQL Server, supporting analytics and reporting needs.
Required Skills:
· Overall experience of 12-15 years
· 4–6 years of experience as Project lead/manager for data engineering project.
Worked on complex programs which involves multiple teams/geographies
Comfortable with onshore offshore model
· Strong SQL programming experience.
· Hands-on experience with Snowflake and DBT.
· Familiarity with data warehousing concepts and performance tuning.
· Experience with version control (e.g., Git) and CI/CD pipelines.
Life science Industry experience is must
Key Responsibilities:
Data Program Management
Overall Data Project coordination,
Strong Agile methodologies knowledge including Epic, stories creation and Agile tool setup and implementation
Working with client stakeholders, PO and onsite and offshore team for task planning and resolving dependencies for entire SDLC tasks
Coordinate with other Persistent teams for day to day tasks
Develop and optimize ETL/ELT workflows using DBT and SQL.
· Design and implement data models in Snowflake.
· Ensure data quality, integrity, and security across platforms.
· Collaborate with analytics and BI teams to support reporting needs.
· Participate in Agile Scrum ceremonies and contribute to sprint planning and reviews.
Job Type: Contract
Pay: $65.00 - $68.00 per hour
Expected hours: 40 per week
Work Location: In person
Role Summary:
Overall Data Project coordination, working with client stakeholders, PO and Persistent onsite and offshore team for task planning and resolving dependencies
Design and build scalable data pipelines and integrations using Snowflake, DBT, and SQL Server, supporting analytics and reporting needs.
Required Skills:
· Overall experience of 12-15 years
· 4–6 years of experience as Project lead/manager for data engineering project.
Worked on complex programs which involves multiple teams/geographies
Comfortable with onshore offshore model
· Strong SQL programming experience.
· Hands-on experience with Snowflake and DBT.
· Familiarity with data warehousing concepts and performance tuning.
· Experience with version control (e.g., Git) and CI/CD pipelines.
Life science Industry experience is must
Key Responsibilities:
Data Program Management
Overall Data Project coordination,
Strong Agile methodologies knowledge including Epic, stories creation and Agile tool setup and implementation
Working with client stakeholders, PO and onsite and offshore team for task planning and resolving dependencies for entire SDLC tasks
Coordinate with other Persistent teams for day to day tasks
Develop and optimize ETL/ELT workflows using DBT and SQL.
· Design and implement data models in Snowflake.
· Ensure data quality, integrity, and security across platforms.
· Collaborate with analytics and BI teams to support reporting needs.
· Participate in Agile Scrum ceremonies and contribute to sprint planning and reviews.
Job Type: Contract
Pay: $65.00 - $68.00 per hour
Expected hours: 40 per week
Work Location: In person
