Remote Senior Data Platform & Automation Engineer

Openkrill; United States; Remote; USD 120,000 - 160,000; Full time

Benefits offered by this job

Remote work

Paid time off

Holidays

Sick leave

Annual credit

Team events

Birthday off

Job summary

Nortal is seeking a self-directed Senior Data Platform and Automation Engineer to design secure, scalable data platform capabilities and governance automation. You will collaborate with domain experts, product managers, governance teams, and engineers to translate technical controls into reusable platform services.

Responsibilities include building automated controls for metadata, data quality, access, and policy enforcement, plus APIs and integrations for enterprise and AI-enabled apps.

Qualifications

• Bachelor's degree in Computer Science, Data Engineering, Software Engineering, or related STEM field (or Bachelor's plus Master's).
• 6+ years of software/data engineering experience or equivalent demonstrated skill.
• 6+ years of Python, SQL, distributed processing, data modeling, and modern data engineering frameworks.

Responsibilities

• Architect secure, scalable data platform and governance automation capabilities.
• Build automated controls for metadata, ownership, lineage, data quality, access, and policy enforcement.
• Develop secure APIs, MCP tools, and integrations for enterprise and AI-enabled applications.
• Build automated validation, testing, deployment, and monitoring across environments.

Skills

Python

SQL

Distributed processing

Data modeling

Cloud platforms

Data governance

CI/CD

Security & access controls

Education

Bachelor's degree in Computer Science or related STEM

Tools

Databricks

Unity Catalog

Data Lake

Apache Spark

Job description

Nortal is seeking a self-directed Senior Data Platform and Automation Engineer to design secure, scalable data platform capabilities and governance automation. You will collaborate with domain experts, product managers, governance teams, and engineers to translate technical controls into reusable platform services.

Responsibilities include building automated controls for metadata, data quality, access, and policy enforcement, plus APIs and integrations for enterprise and AI-enabled apps.