DataOps Engineer

Ladders; United States; On-site; USD 120,000 - 150,000; Full time

Benefits offered by this job

Generous paid time off

Work-life balance

401(k) with company match

Access to cutting-edge tools

Job summary

Ladders is seeking a DataOps Engineer to join a leader in the Real Estate & Construction space. The role will bridge data, AI-enabled capabilities, and scalable technology delivery, partnering with business, technical, and operational stakeholders to build reporting, surface trends, and translate analysis into action.

Remote in the US only; compensation $120,000–$150,000 annually. You will own Databricks pipelines, implement AI-powered observability, and drive CI/CD for deployment workflows in a

Qualifications

• 7+ years of DataOps, data engineering, or platform engineering experience in production environments.
• Expert-level Databricks experience, Delta Live Tables, and Spark performance tuning.
• Strong command of the full Azure data services ecosystem.
• Demonstrated production use of AI tools in DataOps workflows.
• Proven CI/CD experience using GitHub Enterprise.
• Proficient in Python and/or Scala for pipeline development.
• Experience with medallion architecture patterns and multi-environment deployments.

Responsibilities

• Implement AI-powered observability for data pipelines.
• Build proactive monitoring workflows for data quality and anomalies.
• Integrate AI tooling into operational DataOps processes.
• Develop AI-assisted root cause analysis tools to enhance operational efficiency.
• Own the design and optimization of data pipelines on Databricks.
• Administer the Databricks workspace, ensuring compliance and efficiency.
• Own the deployment pipeline for DMP workflows and enforce deployment standards.

Skills

DataOps experience

CI/CD

Python/Scala for pipelines

Observability

Tools

Databricks

Delta Live Tables

Spark tuning

Azure data services

GitHub Enterprise

Job description

For our client, we are seeking a Dataops Engineer to join the team of a leader in the Real Estate & Construction space. This role will lead work at the intersection of data, AI-enabled capabilities, and scalable technology delivery. You will partner with business, technical, and operational stakeholders to build reporting, surface trends, and translate analysis into action. The position offers the opportunity to strengthen data-driven execution and help teams focus on the metrics that matter most within a Real Estate & Construction environment.

Location: Remote - US based candidates only, no visa sponsorship available

Compensation: $120,000 – $150,000 annually

Responsibilities

• Implement AI-powered observability for data pipelines
• Build proactive monitoring workflows for data quality and anomalies
• Integrate AI tooling into operational DataOps processes
• Develop AI-assisted root cause analysis tools to enhance operational efficiency
• Own the design and optimization of data pipelines on Databricks
• Administer the Databricks workspace, ensuring compliance and efficiency
• Own the deployment pipeline for DMP workflows and enforce deployment standards

Qualifications

• 7+ years of DataOps, data engineering, or platform engineering experience in a production environment
• Expert-level hands-on experience with Databricks, including Delta Live Tables and Spark performance tuning
• Strong command of the full Azure data services ecosystem
• Demonstrated production use of AI tools in DataOps workflows
• Proven CI/CD experience using GitHub Enterprise
• Solid skills in Python and/or Scala for pipeline development
• Experience with medallion architecture patterns and multi-environment deployments

Benefits

• High-impact role in enterprise data transformation
• Collaborative and engineering-focused team culture
• Access to cutting-edge tools and technologies
• Generous paid time off and work-life balance
• 401(k) with company match and additional employee benefits

Our client is an equal opportunity employer. We encourage you to apply even if you don’t meet every qualification—your background could be exactly what this team needs.