Remote ETL Developer | Amaze Systems Inc | 100% Remote

Amaze Systems Inc; United States; Remote; USD 110,000 - 170,000; Full time

Job summary

Amaze Systems Inc is actively seeking a Remote ETL Developer to drive advanced data warehouse engineering, cloud-native pipelines, and scalable ETL workflows in a fully remote capacity. You will craft, optimize, and govern data flows and enterprise models with a healthcare-leaning focus, bringing 4–6 years of data engineering experience.

This role promises high technical visibility and strong career growth.

Qualifications

• Bachelor's or Master's in CS/IT/Data Analytics or related field.
• 4–6 years in data engineering, ETL development, and database administration.
• Hands-on experience with Informatica, SSIS, Talend, DataStage, or Matillion.
• Advanced SQL and PL/SQL, plus data warehousing concepts.
• Python for data processing and automation.
• Cloud platforms (AWS, Azure, GCP), especially Azure Data Factory/Databricks/Snowflake.
• Strong analytical, debugging, time management, and independence.
• Willingness for remote work and eligible to work professionally.

Responsibilities

• Architect, design, develop, test, and deploy robust ETL data pipelines and integration workflows.
• Write high-performance SQL/PL/SQL queries, procedures, and views.
• Model enterprise data warehouses and optimize schemas.
• Develop Python scripts for data processing and orchestration.
• Deploy and optimize cloud-native data platforms across AWS/Azure/GCP; leverage Azure Data Factory/Databricks/Snowflake.
• Maintain documentation, data lineage, and deployment runbooks.
• Collaborate with analytics, healthcare domain experts, and engineering teams in Agile sprints.

Skills

ETL development

SQL

PL/SQL

Data warehousing

Python

Cloud platforms (AWS/Azure/GCP)

Azure Data Factory

Databricks

Snowflake

Healthcare data standards

Data quality validation

Documentation & runbooks

Remote work eligibility

Education

Bachelor's or Master's degree in Computer Science / IT / Data Analytics

Tools

Informatica

SSIS

Talend

DataStage

Matillion

Azure Data Factory

Databricks

Snowflake

Job description

Position Summary

Driving advanced data warehouse engineering, cloud-native data pipelines, and scalable ETL transformation workflows in a 100% remote work model, Amaze Systems Inc is actively seeking an accomplished Remote ETL Developer for a permanent professional engagement. In this vital data engineering role, you will architect, build, and optimize high-throughput ETL data flows, enterprise data models, and cloud data integration frameworks, with a preferred background in healthcare data systems. Bringing 4 to 6 years of progressive professional experience in data engineering and database development, you will empower global enterprise platforms to achieve uncompromised analytical precision, data pipeline resilience, and architectural scalability. This prestigious career opportunity offers competitive remuneration, high technical visibility, and exceptional professional growth within a premier global technology solutions and IT consulting enterprise.

Detailed Job Description

As a Remote ETL Developer supporting Amaze Systems Inc in a fully remote capacity, you will take full operational, architectural, and tactical ownership of data warehouse design, ETL pipeline development, Python data processing, and cloud platform integration. Your day-to-day responsibilities include building robust data transformation workflows using tools such as Informatica, SSIS, Talend, DataStage, or Matillion, writing advanced SQL and PL/SQL database queries, modeling enterprise data warehouses, and deploying cloud data architectures on AWS, Azure, or GCP. You will collaborate closely with cross-functional data analytics, healthcare domain specialists, and software engineering squads in Agile sprint cycles. Furthermore, you will manage application requirements.

Key Responsibilities

• Architect, design, develop, test, and deploy robust enterprise ETL data pipelines and integration workflows using leading tools (Informatica, SSIS, Talend, DataStage, Matillion).
• Write advanced, high-performance SQL and PL/SQL queries, stored procedures, and database views for complex data transformation.
• Design and maintain enterprise data warehousing architecture, dimensional data modeling, and schema optimization.
• Develop custom Python scripts and data processing automation routines for data cleaning, parsing, and pipeline orchestration.
• Deploy, configure, and optimize cloud-native data platforms and services across AWS, Azure, or GCP environments.
• Leverage modern cloud data stacks including Azure Data Factory, Databricks, or Snowflake to accelerate data delivery.
• Implement healthcare data standards, HIPAA compliance safeguards, and rigorous data quality validation protocols.
• Maintain comprehensive technical documentation, data lineage catalogs, and deployment runbooks.

Required Qualifications & Skills

• Bachelor's or Master's degree in Computer Science, Information Technology, Data Analytics, or related technical discipline.
• Minimum of 4 to 6 years of progressive professional experience in data engineering, ETL development, and database administration.
• Strong, demonstrable hands-on professional expertise in enterprise ETL tools (Informatica, SSIS, Talend, DataStage, or Matillion).
• Comprehensive working knowledge and practical proficiency in advanced SQL, PL/SQL, and Data Warehousing / Modeling concepts.
• Deep practical experience utilizing Python for data processing, transformation automation, and scripting.
• Solid practical grasp of cloud platforms (AWS, Azure, GCP) with specific preference for Azure Data Factory, Databricks, or Snowflake.
• Proven analytical, debugging, problem-solving, and independent time-management capabilities.
• Mandatory remote work readiness and legal work eligibility for professional engineering engagements.

Nice-to-Have Skills

• Professional cloud data certifications such as AWS Certified Data Analytics or Azure Data Engineer Associate.
• Prior professional working experience in healthcare IT systems, clinical data integration, or payer/provider environments.
• Hands-on familiarity with CI/CD deployment pipelines, git version control, and containerized data workflows (Docker/Kubernetes).
• Experience utilizing enterprise project management and ticketing platforms such as Jira and Confluence.
• Exposure to big data processing frameworks and real-time streaming architectures (Apache Spark, Kafka).

Application Information

• Recruiter: Amaze Systems Inc Recruitment Division
• Contact Name: Kajal C
• Email: [e-mail]
• Phone:
• Company Website: https://www.amazesystemsinc.com
• Salary/Rate: Market Competitive / Enterprise Data Engineering Package
• Deadline: Open until filled (Urgent Remote ETL Developer Opening)
• Notice Period: Immediate to 14 Days Preferred
• Contract Duration: Permanent / Full-Time Remote Engagement (Healthcare Domain Preferred)

Recruitment Pro Tip

When applying for this Remote ETL Developer position through Amaze Systems Inc, ensure your resume explicitly highlights your ETL tool expertise (Informatica/Talend/SSIS/DataStage), Python data processing projects, and any healthcare domain background.