Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer in Montpelier, Vermont, with a contract length of "unknown" and a pay rate of "unknown." Requires 3-5 years of AWS data lake experience, proficiency in ELT pipelines, and knowledge of data governance. On-site work only.
🌎 - Country
United States
💱 - Currency
$ USD
💰 - Day rate
Unknown
Unknown
🗓️ - Date discovered
May 6, 2025
🕒 - Project duration
Unknown
🏝️ - Location type
On-site
📄 - Contract type
Unknown
🔒 - Security clearance
Unknown
📍 - Location detailed
Montpelier, VT
🧠 - Skills detailed
#Data Analysis #Apache Airflow #Data Management #Data Science #Data Pipeline #Azure #Scala #S3 (Amazon Simple Storage Service) #Airflow #Data Ingestion #Data Lake #Athena #Documentation #Redshift #AWS Glue #Data Architecture #Data Engineering #Data Lineage #Schema Design #AWS (Amazon Web Services) #"ETL (Extract #Transform #Load)" #Data Quality #Data Governance #Compliance #ADF (Azure Data Factory) #Azure Data Factory #Metadata
Role description
Position: Data Engineer
Montpelier, Vermont
Role Overview:
Data Engineers will be responsible for designing and implementing scalable data ingestion workflows to support enterprise data lake solutions. These workflows will ingest data from a range of sources, including government operations, business processes, workforce, and health domains. Domain expertise in any of these areas is preferred.
Key Responsibilities:
• Design and implement robust ELT (Extract, Load, Transform) pipelines using AWS services such as S3, Glue, Athena, and Redshift.
• Define and manage data models and schemas for the bronze and silver layers of a medallion architecture.
• Implement data quality checks, data lineage tracking, and metadata management to ensure compliance with governance and regulatory requirements.
• Automate workflows using tools like AWS Glue, AWS Step Functions, or Apache Airflow.
• Maintain comprehensive documentation for data lake architecture, data models, and data pipeline workflows.
• Collaborate closely with data analysts, data scientists, technical teams, and business stakeholders.
• Provide ongoing support for a limited number of existing Azure Data Factory workloads.
• Adhere to all platform requirements, standards, and procedures as defined by the State.
• Participate in team standups, project-specific meetings, and collaborative engagements with other vendors and stakeholders.
Preferred Qualifications:
• 3–5 years of experience building and maintaining enterprise-scale data lake solutions on the AWS platform.
• Hands-on experience with tools and technologies such as S3, Glue, Athena, Redshift, Step Functions, Apache Airflow, and Azure Data Factory.
• Strong understanding of data architecture principles, medallion architecture, and schema design.
• Familiarity with data governance best practices and compliance standards.
• Excellent communication and collaboration skills across technical and non-technical teams.
Additional Requirements:
• All work must be performed within the United States.
• The Agency of Digital Services is the only entity authorized to initiate work under this contract.
• The contractor must provide constructive feedback to support the continued development and enhancement of the platform.
• Participation in collaborative team activities is required.
Position: Data Engineer
Montpelier, Vermont
Role Overview:
Data Engineers will be responsible for designing and implementing scalable data ingestion workflows to support enterprise data lake solutions. These workflows will ingest data from a range of sources, including government operations, business processes, workforce, and health domains. Domain expertise in any of these areas is preferred.
Key Responsibilities:
• Design and implement robust ELT (Extract, Load, Transform) pipelines using AWS services such as S3, Glue, Athena, and Redshift.
• Define and manage data models and schemas for the bronze and silver layers of a medallion architecture.
• Implement data quality checks, data lineage tracking, and metadata management to ensure compliance with governance and regulatory requirements.
• Automate workflows using tools like AWS Glue, AWS Step Functions, or Apache Airflow.
• Maintain comprehensive documentation for data lake architecture, data models, and data pipeline workflows.
• Collaborate closely with data analysts, data scientists, technical teams, and business stakeholders.
• Provide ongoing support for a limited number of existing Azure Data Factory workloads.
• Adhere to all platform requirements, standards, and procedures as defined by the State.
• Participate in team standups, project-specific meetings, and collaborative engagements with other vendors and stakeholders.
Preferred Qualifications:
• 3–5 years of experience building and maintaining enterprise-scale data lake solutions on the AWS platform.
• Hands-on experience with tools and technologies such as S3, Glue, Athena, Redshift, Step Functions, Apache Airflow, and Azure Data Factory.
• Strong understanding of data architecture principles, medallion architecture, and schema design.
• Familiarity with data governance best practices and compliance standards.
• Excellent communication and collaboration skills across technical and non-technical teams.
Additional Requirements:
• All work must be performed within the United States.
• The Agency of Digital Services is the only entity authorized to initiate work under this contract.
• The contractor must provide constructive feedback to support the continued development and enhancement of the platform.
• Participation in collaborative team activities is required.
