TPI Global Solutions
Data Engineer – Customer Success Data Platform
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Data Engineer – Customer Success Data Platform, offering a 7-month W2 contract, remote work (preferably San Francisco Bay Area). Requires 2+ years in data engineering, proficiency in SQL, ETL, Snowflake, and a programming language.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
June 4, 2026
🕒 - Duration
More than 6 months
-
🏝️ - Location
Remote
-
📄 - Contract
W2 Contractor
-
🔒 - Security
Unknown
-
📍 - Location detailed
California, United States
-
🧠 - Skills detailed
#Python #GitHub #Data Quality #Tableau #SaaS (Software as a Service) #AI (Artificial Intelligence) #dbt (data build tool) #Spark (Apache Spark) #Data Warehouse #Computer Science #Snowflake #BigQuery #Data Modeling #Automation #SQL (Structured Query Language) #C++ #Data Pipeline #Data Engineering #C# #Programming #Normalization #GIT #Scala #"ETL (Extract #Transform #Load)" #Jira
Role description
W2 Contract
Job Title: Data Engineer – Customer Success Data Platfor
mLocation: Remote (Preference for candidates located in San Francisco Bay Area, CA
)Duration: Initial 7-Month Contract (Possibility of Extension based on performance and business needs
)
🚀 Data Engineer – Customer Success (Evergreen//One | SaaS Subscription Da
ta)We are seeking a Data Engineer to strengthen and scale the data foundation powering Customer Success for our subscription platform, Evergreen//O
ne.This is a hands-on engineering role focused on building reliable, scalable, and analytics-ready data systems that support Customer Success operations, executive reporting, and future AI-driven automation initiativ
es.
📊 Role Over
viewThe Data Engineer will own the end-to-end data pipelines and data models that integrate systems like Salesforce, Gainsight, Tableau, and Snowflake. You will be responsible for ensuring subscription data is clean, consistent, and trusted across the organizat
ion.
🛠 Required Skills & Exper
• ienceBachelor’s degree in Computer Science, Information Systems, Engineering, or equivalent exper
• ience2+ years of experience in data engineering, analytics engineering, or similar data-focused
• rolesStrong proficiency in SQL, ETL/ELT pipelines, and data mod
• elingExperience with at least one programming language (Python, Scala, C#, C++,
• etc.)Hands-on experience with Snowflake or similar data warehouse technologies (BigQuery, Spark,
• etc.)Experience with dbt or similar data transformation
• toolsStrong understanding of data modeling concepts (normalization, dimensional modeling, schema de
• sign)Experience working with Git/GitHub, CI/CD workflows, JIRA, Confl
• uenceProven ability to identify and resolve data quality and pipeline i
ssues
W2 Contract
Job Title: Data Engineer – Customer Success Data Platfor
mLocation: Remote (Preference for candidates located in San Francisco Bay Area, CA
)Duration: Initial 7-Month Contract (Possibility of Extension based on performance and business needs
)
🚀 Data Engineer – Customer Success (Evergreen//One | SaaS Subscription Da
ta)We are seeking a Data Engineer to strengthen and scale the data foundation powering Customer Success for our subscription platform, Evergreen//O
ne.This is a hands-on engineering role focused on building reliable, scalable, and analytics-ready data systems that support Customer Success operations, executive reporting, and future AI-driven automation initiativ
es.
📊 Role Over
viewThe Data Engineer will own the end-to-end data pipelines and data models that integrate systems like Salesforce, Gainsight, Tableau, and Snowflake. You will be responsible for ensuring subscription data is clean, consistent, and trusted across the organizat
ion.
🛠 Required Skills & Exper
• ienceBachelor’s degree in Computer Science, Information Systems, Engineering, or equivalent exper
• ience2+ years of experience in data engineering, analytics engineering, or similar data-focused
• rolesStrong proficiency in SQL, ETL/ELT pipelines, and data mod
• elingExperience with at least one programming language (Python, Scala, C#, C++,
• etc.)Hands-on experience with Snowflake or similar data warehouse technologies (BigQuery, Spark,
• etc.)Experience with dbt or similar data transformation
• toolsStrong understanding of data modeling concepts (normalization, dimensional modeling, schema de
• sign)Experience working with Git/GitHub, CI/CD workflows, JIRA, Confl
• uenceProven ability to identify and resolve data quality and pipeline i
ssues
