Compunnel Inc.
Principal Data Engineer-- CHHDC5842808
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Principal Data Engineer in Boston, MA, on a long-term contract. Requires strong Python, Snowflake, and AWS experience, along with ETL/ELT and DataOps skills. Must work onsite 3 days a week and mentor junior engineers.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
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🗓️ - Date
July 24, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
On-site
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📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
Boston, MA
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🧠 - Skills detailed
#Databases #DataOps #Bash #Scala #Snowflake #Data Warehouse #Infrastructure as Code (IaC) #Python #PostgreSQL #Terraform #Kubernetes #Microservices #C# #AWS (Amazon Web Services) #Docker #SQL (Structured Query Language) #Data Pipeline #Airflow #Data Engineering #"ETL (Extract #Transform #Load)" #Kafka (Apache Kafka) #Apache Airflow #Apache Kafka #Automation #Scripting #Linux #SQL Server #Cloud #Data Processing
Role description
Please find the position details below:
Job Title: Principal Data Engineer
Location: 260 Franklin St, Boston, MA 02110 (3 days onsite – Per week)
Duration: Long term Contract
Interview : 1 round (Onsite)
What You'll Be Working On
• Design and build enterprise DataOps platforms and automation.
• Develop and maintain ETL/ELT pipelines using Python and Apache Airflow.
• Build streaming data pipelines using Apache Kafka.
• Design and optimize Snowflake-based data warehouse solutions.
• Develop containerized applications using Docker and Kubernetes (EKS/ECS/Fargate).
• Automate infrastructure using Terraform or CloudFormation.
• Work with SQL Server and PostgreSQL databases.
• Collaborate with engineering teams to define cloud architecture and platform standards.
• Mentor junior engineers and contribute to technical design decisions.
Required Skills
• Strong experience with Python (Go or C# also considered).
• Expertise in Snowflake.
• Experience with Apache Airflow.
• Strong AWS experience.
• Experience with Apache Kafka (Flink is a plus).
• Kubernetes (EKS/ECS/Fargate) and Docker.
• Terraform or CloudFormation.
• SQL Server and PostgreSQL.
• ETL/ELT and DataOps experience.
• CI/CD and Infrastructure as Code.
Preferred Qualifications
• Experience with Apache Flink.
• Knowledge of microservices architecture.
• Linux/Bash scripting.
• Strong analytical and problem-solving skills.
• Previous experience designing enterprise-scale cloud data platforms.
About the Role:
We're looking for a Principal Data Engineer to join the Platform Data team supporting enterprise data platform. This team builds and maintains the core services that power cloud-based data processing, analytics, and reporting across the organization.
In this role, you'll work on designing scalable DataOps solutions, developing modern data pipelines, and building cloud-native data platforms using AWS and Snowflake. This is a hands-on technical position with opportunities to influence architecture, mentor engineers, and drive best practices across the platform.
Please find the position details below:
Job Title: Principal Data Engineer
Location: 260 Franklin St, Boston, MA 02110 (3 days onsite – Per week)
Duration: Long term Contract
Interview : 1 round (Onsite)
What You'll Be Working On
• Design and build enterprise DataOps platforms and automation.
• Develop and maintain ETL/ELT pipelines using Python and Apache Airflow.
• Build streaming data pipelines using Apache Kafka.
• Design and optimize Snowflake-based data warehouse solutions.
• Develop containerized applications using Docker and Kubernetes (EKS/ECS/Fargate).
• Automate infrastructure using Terraform or CloudFormation.
• Work with SQL Server and PostgreSQL databases.
• Collaborate with engineering teams to define cloud architecture and platform standards.
• Mentor junior engineers and contribute to technical design decisions.
Required Skills
• Strong experience with Python (Go or C# also considered).
• Expertise in Snowflake.
• Experience with Apache Airflow.
• Strong AWS experience.
• Experience with Apache Kafka (Flink is a plus).
• Kubernetes (EKS/ECS/Fargate) and Docker.
• Terraform or CloudFormation.
• SQL Server and PostgreSQL.
• ETL/ELT and DataOps experience.
• CI/CD and Infrastructure as Code.
Preferred Qualifications
• Experience with Apache Flink.
• Knowledge of microservices architecture.
• Linux/Bash scripting.
• Strong analytical and problem-solving skills.
• Previous experience designing enterprise-scale cloud data platforms.
About the Role:
We're looking for a Principal Data Engineer to join the Platform Data team supporting enterprise data platform. This team builds and maintains the core services that power cloud-based data processing, analytics, and reporting across the organization.
In this role, you'll work on designing scalable DataOps solutions, developing modern data pipelines, and building cloud-native data platforms using AWS and Snowflake. This is a hands-on technical position with opportunities to influence architecture, mentor engineers, and drive best practices across the platform.
