Senior Data Engineer: AI-Ready Data Pipelines & Governance

Rula; United States; On-site; USD 110,000 - 160,000; Full time

Benefits offered by this job

Remote in US

Self-care weeks

401(k)

Parental leave

Health insurance

EAP

Home office equipment

Competitive compensation

Job summary

Rula is empowering analytics teams to leverage AI against internal data in a secure and compliant manner. As an individual contributor, you will partner with analytics, marketing, and product teams to understand data needs and build systems that allow AI applications to access trusted data at scale.

You will help define the standards, infrastructure, and governance that power AI-driven experiences across the company, ensuring data remains reliable, secure, and easy to use, with a direct impact

Qualifications

• 4+ years of experience in data engineering, software engineering, or a related field.
• Ownership of production data pipelines and systems.
• Experience translating business requirements into technical designs with stakeholders.
• Experience implementing data security, governance, or access control practices for sensitive data.

Responsibilities

• Partner with analytics, marketing, and product teams to understand data needs.
• Build systems that allow AI applications to access trusted data at scale.
• Define standards, infrastructure, and governance for AI-driven experiences.
• Ensure data remains reliable, secure, and easy to use across the company.

Skills

Python

SQL

Data pipelines

Data governance

Data security

HIPAA compliance

LLMs familiarity

Cloud experience

Tools

Snowflake

AWS

Spark

Kafka

Iceberg

Terraform

Job description

Rula is empowering analytics teams to leverage AI against internal data in a secure and compliant manner. As an individual contributor, you will partner with analytics, marketing, and product teams to understand data needs and build systems that allow AI applications to access trusted data at scale.

You will help define the standards, infrastructure, and governance that power AI-driven experiences across the company, ensuring data remains reliable, secure, and easy to use, with a direct impact