SynapOne
Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Data Engineer contract for 2 years, 100% remote, with a pay rate of "unknown." Requires 3+ years in Data Engineering, strong Apache Airflow and Python skills, and experience with ETL migrations, particularly from Matillion to Airflow.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
April 14, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
Remote
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📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
United States
-
🧠 - Skills detailed
#S3 (Amazon Simple Storage Service) #Deployment #"ETL (Extract #Transform #Load)" #SSIS (SQL Server Integration Services) #GIT #RDS (Amazon Relational Database Service) #Databases #AWS (Amazon Web Services) #Datasets #Migration #Data Engineering #Cloud #Docker #Informatica #Data Modeling #Data Warehouse #SQL (Structured Query Language) #Datadog #Apache Airflow #Python #Data Pipeline #Talend #Snowflake #Aurora #Monitoring #Matillion #Scala #IAM (Identity and Access Management) #Airflow #Kubernetes
Role description
Job Title: ETL Migration & Pipeline DevelopmentDuration 2‑Year Contract
Location: 100% Remote
Client SOMOS
We are seeking a Data Engineer contractor (100% remote) to support and execute the migration of ETL pipelines from Matillion to Apache Airflow. This role focuses on rebuilding pipelines, improving reliability, and enabling scalable, code-based data workflows.
This is a hands-on role requiring someone who can ramp quickly, work with existing ETL logic, and contribute within the first 1–2 weeks.
Responsibilities:
• Migrate existing ETL pipelines from Matillion to Apache Airflow while preserving logic and dependencies
• Develop and maintain Airflow DAGs with proper scheduling, retries, and failure handling
• Reverse engineer existing Matillion jobs and translate them into Python-based workflows
• Build and optimize data pipelines across systems such as S3, Snowflake, and relational databases
• Perform data validation and reconciliation between source and target systems
• Write and optimize SQL transformations for large-scale datasets
• Implement monitoring, alerting, and error handling for pipelines
• Collaborate with data, platform, and analytics teams to ensure smooth migration and deployment
• Document pipelines, workflows, and operational processes
Required Qualifications:
• 3+ years of experience in Data Engineering or ETL development
• Strong hands-on experience with Apache Airflow or similar orchestration tools
• Proficiency in Python for building data pipelines and workflows
• Strong SQL skills and experience working with large datasets
• Experience with cloud platforms (AWS preferred: S3, RDS/Aurora, IAM)
• Experience with cloud data warehouses (Snowflake preferred or similar)
• Experience building and maintaining ETL/ELT pipelines
• Familiarity with Git and CI/CD workflows
Preferred Qualifications:
• Experience migrating ETL workflows from tools like Matillion, Informatica, Talend, or SSIS to Airflow
• Experience with Airflow in containerized environments (Docker, Kubernetes/EKS)
• Familiarity with data validation, reconciliation, and pipeline testing strategies
• Experience with monitoring tools such as Datadog or CloudWatch
• Understanding of data modeling or medallion architecture
Job Title: ETL Migration & Pipeline DevelopmentDuration 2‑Year Contract
Location: 100% Remote
Client SOMOS
We are seeking a Data Engineer contractor (100% remote) to support and execute the migration of ETL pipelines from Matillion to Apache Airflow. This role focuses on rebuilding pipelines, improving reliability, and enabling scalable, code-based data workflows.
This is a hands-on role requiring someone who can ramp quickly, work with existing ETL logic, and contribute within the first 1–2 weeks.
Responsibilities:
• Migrate existing ETL pipelines from Matillion to Apache Airflow while preserving logic and dependencies
• Develop and maintain Airflow DAGs with proper scheduling, retries, and failure handling
• Reverse engineer existing Matillion jobs and translate them into Python-based workflows
• Build and optimize data pipelines across systems such as S3, Snowflake, and relational databases
• Perform data validation and reconciliation between source and target systems
• Write and optimize SQL transformations for large-scale datasets
• Implement monitoring, alerting, and error handling for pipelines
• Collaborate with data, platform, and analytics teams to ensure smooth migration and deployment
• Document pipelines, workflows, and operational processes
Required Qualifications:
• 3+ years of experience in Data Engineering or ETL development
• Strong hands-on experience with Apache Airflow or similar orchestration tools
• Proficiency in Python for building data pipelines and workflows
• Strong SQL skills and experience working with large datasets
• Experience with cloud platforms (AWS preferred: S3, RDS/Aurora, IAM)
• Experience with cloud data warehouses (Snowflake preferred or similar)
• Experience building and maintaining ETL/ELT pipelines
• Familiarity with Git and CI/CD workflows
Preferred Qualifications:
• Experience migrating ETL workflows from tools like Matillion, Informatica, Talend, or SSIS to Airflow
• Experience with Airflow in containerized environments (Docker, Kubernetes/EKS)
• Familiarity with data validation, reconciliation, and pipeline testing strategies
• Experience with monitoring tools such as Datadog or CloudWatch
• Understanding of data modeling or medallion architecture
