Relanto
Data or AI/ML Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data or AI/ML Engineer with a contract length of "unknown" and a pay rate of "unknown." Key skills include Informatica, Airflow, DBT, Snowflake, Python, SQL, and AWS/GCP. Experience with Salesforce platforms is required.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
May 20, 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
Dallas, TX
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🧠 - Skills detailed
#Big Data #Data Engineering #Data Processing #Data Architecture #Data Modeling #Python #dbt (data build tool) #ML (Machine Learning) #Snowflake #Airflow #Data Quality #SQL (Structured Query Language) #AWS (Amazon Web Services) #Batch #Databases #Monitoring #Informatica #Data Science #AI (Artificial Intelligence) #Data Pipeline #"ETL (Extract #Transform #Load)" #GCP (Google Cloud Platform)
Role description
PRIMARY SKILLS: Informatica, Airflow, DBT, Snowflake, Python, SQL, AWS/GCP
• Strong experience in data engineering, ETL (preferably Informatica), and data architecture
• Experience working with Salesforce platforms and data models
• Strong SQL skills with Snowflake and other relational databases
• Experience writing complex Python modules for custom ETL workflows
• Expertise in building batch and real-time data pipelines
• Experience with dbt for data transformation and modeling
• Familiarity with AWS/GCP and distributed/event-driven architectures
• Strong understanding of data modeling, data warehousing, and big data processing
• Experience with data quality, monitoring, and pipeline orchestration frameworks
• Ability to work closely with Product, Data Science, and Analytics teams
• Experience working on Salesforce Flows and Apex is a plus
PRIMARY SKILLS: Informatica, Airflow, DBT, Snowflake, Python, SQL, AWS/GCP
• Strong experience in data engineering, ETL (preferably Informatica), and data architecture
• Experience working with Salesforce platforms and data models
• Strong SQL skills with Snowflake and other relational databases
• Experience writing complex Python modules for custom ETL workflows
• Expertise in building batch and real-time data pipelines
• Experience with dbt for data transformation and modeling
• Familiarity with AWS/GCP and distributed/event-driven architectures
• Strong understanding of data modeling, data warehousing, and big data processing
• Experience with data quality, monitoring, and pipeline orchestration frameworks
• Ability to work closely with Product, Data Science, and Analytics teams
• Experience working on Salesforce Flows and Apex is a plus
