Talent Groups
Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer with 6+ years of experience in data engineering or ETL development, specializing in Snowflake and Informatica. Contract length is unspecified, with a pay rate of "unknown." Remote work is available. Key skills include SQL, cloud platforms (AWS, Azure, GCP), Python, and data governance principles.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
October 29, 2025
🕒 - 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
Quincy, MA
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🧠 - Skills detailed
#Data Quality #Data Catalog #SQL (Structured Query Language) #Data Governance #Data Engineering #Informatica #Automation #Data Management #Cloud #Scripting #Snowflake #GCP (Google Cloud Platform) #Azure #Scrum #Python #Informatica IDQ (Informatica Data Quality) #Scala #GIT #"ETL (Extract #Transform #Load)" #Agile #S3 (Amazon Simple Storage Service) #Storage #AWS (Amazon Web Services) #Metadata
Role description
We are seeking a talented Data Engineer with hands-on experience in Snowflake and Informatica to design, build, and optimize scalable data solutions. The ideal candidate will have a strong foundation in SQL, data warehousing, and cloud-based architectures while ensuring data quality, governance, and performance across systems.
Required Skills:
6+ years of experience in data engineering or ETL development.
Strong SQL development and understanding of data warehousing concepts.
Familiarity with cloud platforms (AWS, Azure, or GCP) and storage services (S3, Blob Storage).
Knowledge of data governance, data quality, and metadata management principles.
Proficiency in Python for scripting and automation.
Experience with Informatica Data Quality (IDQ) or Data Catalog tools.
Exposure to CI/CD pipelines, Git, and Agile/Scrum environments.
We are seeking a talented Data Engineer with hands-on experience in Snowflake and Informatica to design, build, and optimize scalable data solutions. The ideal candidate will have a strong foundation in SQL, data warehousing, and cloud-based architectures while ensuring data quality, governance, and performance across systems.
Required Skills:
6+ years of experience in data engineering or ETL development.
Strong SQL development and understanding of data warehousing concepts.
Familiarity with cloud platforms (AWS, Azure, or GCP) and storage services (S3, Blob Storage).
Knowledge of data governance, data quality, and metadata management principles.
Proficiency in Python for scripting and automation.
Experience with Informatica Data Quality (IDQ) or Data Catalog tools.
Exposure to CI/CD pipelines, Git, and Agile/Scrum environments.
