Senior Data Solutions Engineer: AI Pipelines & Automation

Dignifyd; San Francisco (CA); On-site; USD 140,000 - 190,000; Full time

Job summary

Dignifyd is seeking a Senior Data Solutions Engineer in San Francisco, CA to build scalable data products, automation, and AI-enabled solutions for CAO teams.

You will translate business problems into production-ready data solutions, extend data engineering into APIs, automation, and lightweight apps, and collaborate with analysts, architects, and engineers to raise engineering standards.

Qualifications

• 7+ years of experience in data engineering or related field.
• Strong SQL and Python; experience with data pipelines and APIs.
• Experience with cloud platforms, orchestration, CI/CD, and data governance.

Responsibilities

• Develop, build, and support data solutions that scale efficiently, including data streams, schemas, interfaces, and automation workflows.
• Translate ambiguous business requirements into clear technical solutions and delivery plans.
• Build automation and intelligent solutions that improve data quality, reduce manual effort, and increase operational capacity.
• Apply modern engineering practices, including source control, testing, CI/CD, code reviews, documentation, monitoring, and production support.
• Evaluate, integrate, and optimize data from internal and external systems.
• Contribute to reusable patterns, engineering standards, and technical direction for data products.
• Mentor engineers, review designs and code, and help the team effectively use AI-assisted development tools.

Skills

SQL

Python

Data pipelines

Automation

Cloud platforms

CI/CD

Communication

Education

Bachelor’s degree or equivalent

Tools

Git

Airflow

CI/CD tools

Job description

Dignifyd is seeking a Senior Data Solutions Engineer in San Francisco, CA to build scalable data products, automation, and AI-enabled solutions for CAO teams.

You will translate business problems into production-ready data solutions, extend data engineering into APIs, automation, and lightweight apps, and collaborate with analysts, architects, and engineers to raise engineering standards.