SynapOne

Data Engineer

SynapOne
10+ years
United States
Contract
Remote
1 month ago

About the role

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
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