Sr Data Engineer

Overview

Echo Global Logistics is a leading provider of technology‑enabled transportation management services. We simplify transportation management for our clients and carriers, handling crucial tasks so they can focus on what they do best.

• Collaborate with Agile teams to design, develop, integrate, and manage Echo's large‑scale data solutions including data storage, data modeling, ETL, data querying, and reporting.
• Share a passion for staying on top of tech trends, experimenting with, and learning new technologies, participating in internal & external technology communities, and mentoring other members of the data engineering community.
• Deliver robust cloud‑based solutions.
• Lead in the research, evaluation, operational usage and building of relational and non‑SQL solutions.
• Utilize programming languages like Python, open‑source and No
  
  SQL databases, and a variety of AWS tools and services such as AWS Glue, Firehose, S3, Redshift, and Athena.
• Define and lead adoption of GenAI coding workflows using tools such as Git Hub Copilot, Cursor, and OpenAI APIs—actively guiding, not passively accepting, AI‑generated output.
• Design and operationalize agentic, multi‑step workflows to automate feature development, bug triage, and documentation pipelines.
• Establish prompt data‑engineering standards, validation frameworks, and team playbooks that ensure consistent, high‑quality AI‑assisted development across the organization.
• Own complex data products end‑to‑end—from design to production—with a clear line of sight to business metrics such as cycle time, defect rates, and system uptime.
• Design high‑performance transformation architecture.
• Drive measurable productivity improvements by replacing manual effort with intelligent automation at every stage of the SDLC.
• Act as the critical human‑in‑the‑loop—rigorously reviewing AI‑generated code for hallucinations, security vulnerabilities, architectural gaps, and logical flaws before they reach production.
• Apply security awareness across AI tooling (OWASP Top
  10 and AI‑specific attack surfaces) and enforce standards that protect system integrity.
• Conduct architectural reviews and code reviews that elevate both human‑written and AI‑generated contributions to production quality.

• At least 5 years of professional data or software engineering experience (internship experience does not apply).
• 5+ years of experience in at least two of the following modern languages: .Net, Python, Scala, Java.
• 3+ years of experience with AWS, GCP, Azure, or another cloud service.
• 2+ years of experience in Agile practices.
• Experience with AWS Athena and Redshift.
• Experience with reporting tools such as Quick suite, Power
  
  BI, Tableau.
• Proven experience leading technical design, architecture decisions, and cross‑team technical initiatives.
• Demonstrated experience mentoring and coaching engineers.
• Active, hands‑on proficiency with at least one AI coding assistant (Git Hub Copilot, Cursor, or equivalent).

• 7+ years of professional data or software engineering experience.
• Bachelor's Degree in computer science or equivalent experience.
• AWS certifications (Solutions Architect Professional or Developer Professional).
• Experience in logistics, transportation, or supply chain technology domains.
• Experience with observability platforms, distributed tracing, and SRE practices.
• Track record leading platform migrations and modernization initiatives.
• Strong background in event‑driven Data Lake architectures.

This job operates in an office environment and uses a computer, telephone and other office equipment as needed. The noise level is typical for an office with an open seating floor plan. The employee may encounter frequent interruptions throughout the work day and is regularly required to sit, talk, or hear.

Annual salary range: $ – $, with eligibility for a bonus based on personal and business performance.

We offer a competitive benefits package. For more information about our benefit offerings, please visit

All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, status as a qualified individual with a disability, or Vietnam era or other protected veteran.