Remote Data Ops Engineer: Production-Grade Analytics Builder

Ladders; United States; Remote; USD 102,000 - 171,000; Full time

Benefits offered by this job

Health benefits

401(k) plan with company contributions

Company-paid life insurance

Tuition reimbursement for continued教育

Minimum 18 days PTO annually

Well-being programs

Job summary

Ladders seeks a Data Ops - Data Builder to join a healthcare leadership team. Translate business requirements and architectural designs into durable, reusable data assets, delivering production-ready solutions across data modeling, delivery pipelines, and metadata capture to enable scalable, production-grade workflows.

Remote role for US-based candidates only. 3+ years of analytics engineering experience required; hands-on with Databricks, Spark, Unity Catalog, SQL and Python; familiarity with

Qualifications

• 3+ years building production-grade data solutions, particularly in analytics engineering.
• Strong blend of business fluency and hands-on engineering skills.
• Experience with enterprise data platforms and data modeling best practices.

Responsibilities

• Build production-ready solutions from architectural designs and business requirements
• Quickly develop working solutions for new and unfamiliar data
• Refactor bespoke work into durable, reusable assets
• Construct physical Silver structures based on enterprise-agnostic models
• Implement designs through governed CI/CD pipelines
• Capture business context and metadata during the build process
• Deliver Gold solutions through MVP, ensuring production-grade standards

Skills

Analytics engineering

Business fluency

Software engineering discipline

CI/CD pipelines

Tools

Databricks

Spark

Unity Catalog

SQL

Python

Snowflake

Teradata

Job description

Ladders seeks a Data Ops - Data Builder to join a healthcare leadership team. Translate business requirements and architectural designs into durable, reusable data assets, delivering production-ready solutions across data modeling, delivery pipelines, and metadata capture to enable scalable, production-grade workflows.

Remote role for US-based candidates only. 3+ years of analytics engineering experience required; hands-on with Databricks, Spark, Unity Catalog, SQL and Python; familiarity with