Senior Data Integration Engineer — Remote

Reed Smith LLP; Chicago (IL); Remote; USD 163,000 - 184,000; Full time

Benefits offered by this job

401(k) Retirement Plan

Medical Insurance

Health Savings Account (HSA)

Dental Insurance

Vision Insurance

Paid Time Off

Job summary

Reed Smith LLP seeks a Data Integration Senior Engineer to lead data platform engineering, DataOps, and enterprise data integration across the organization. You will design, build, and operate governed data pipelines, APIs, and interfaces enabling analytics, AI, and automation.

You will own the runtime engineering lifecycle, establish scalable patterns, and partner with architecture, security, privacy, and product teams to deliver reliable, cost-efficient data capabilities at scale.

Qualifications

• Bachelor's degree in computer science, data engineering, information systems, or related field.
• Master's degree preferred.
• Strong SQL and Python proficiency with data integration experience.

Responsibilities

• Lead hands-on technical work for data platform engineering, DataOps, and enterprise integration.
• Co-design end-to-end solutions with capability owners and set acceptance criteria.
• Develop and operate production-grade pipelines, APIs, and interfaces.
• Create reusable integration patterns to minimize point-to-point dependencies.

Skills

SQL

Python

CI/CD

Observability

DataOps

Data modeling

Education

Bachelor's degree in computer science / data engineering / information systems

Master's degree preferred

Tools

Snowflake

APIs

Job description

Reed Smith LLP seeks a Data Integration Senior Engineer to lead data platform engineering, DataOps, and enterprise data integration across the organization. You will design, build, and operate governed data pipelines, APIs, and interfaces enabling analytics, AI, and automation.

You will own the runtime engineering lifecycle, establish scalable patterns, and partner with architecture, security, privacy, and product teams to deliver reliable, cost-efficient data capabilities at scale.