Senior Data Engineer — AWS, Snowflake & Data Pipelines Lead

Sedona Digital; United States; Remote; USD 31,000 - 46,000; Full time

Job summary

Sedona Digital seeks a Senior Data Engineer to design and deliver scalable cloud data platforms. You will own end-to-end data pipelines on AWS, Snowflake, and Python, ensuring reliable ingestion, transformation, and governance for complex healthcare-related datasets.

Leading data integration initiatives, you will optimise performance, implement robust monitoring, and collaborate with clients to turn business requirements into practical technical solutions.

Qualifications

• 5+ years of experience in data engineering, ETL/ELT, or data integration.
• Strong experience with AWS data services, including S3 and RDS.
• Hands-on experience with Snowflake, SQL, and data modelling.
• Proficiency in Python or a similar scripting language.
• Experience building and supporting scalable batch data pipelines.
• Experience integrating APIs, databases, SFTP locations, and file-based sources.
• Strong understanding of data transformation, validation, quality, and governance.
• Experience monitoring, troubleshooting, and optimising production data processes.
• Ability to work independently and take ownership of client-facing deliverables.
• Strong problem-solving, documentation, and communication skills.

Responsibilities

• Design, build, and maintain scalable data pipelines and integration workflows using AWS, Snowflake, SQL, and Python.
• Manage data ingestion from APIs, databases, SFTP locations, and file-based sources.
• Build and optimise data models, transformations, and data-quality controls.
• Take ownership of recurring client processes, including the monthly SAS-based claims workflow.
• Monitor and troubleshoot pipelines, batch processes, and production data environments.
• Apply security, governance, access-control, and credential-management best practices.
• Improve pipeline resilience through effective monitoring, error handling, restartability, and recovery.
• Optimise data workloads for performance, scalability, and cost.
• Develop reusable components and patterns for ingestion, transformation, validation, and monitoring.
• Prepare governed and trusted datasets for analytics, reporting, AI, and machine-learning use cases.
• Collaborate with clients and internal stakeholders to translate business requirements into practical technical solutions.
• Identify opportunities to modernise legacy processes, reduce manual effort, and improve operational efficiency.
• Maintain technical documentation, data lineage, business rules, and operational runbooks.

Skills

ETL/ELT

Data integration

AWS

Snowflake

SQL

Python

Data modelling

Data governance

Documentation

Independent worker

Tools

SAS datasets

Databricks

Power BI

Job description

Sedona Digital seeks a Senior Data Engineer to design and deliver scalable cloud data platforms. You will own end-to-end data pipelines on AWS, Snowflake, and Python, ensuring reliable ingestion, transformation, and governance for complex healthcare-related datasets.

Leading data integration initiatives, you will optimise performance, implement robust monitoring, and collaborate with clients to turn business requirements into practical technical solutions.