Jobs at Echo Global Logistics

538,849 open positions

Echo Global Logistics is a leading global logistics and supply‑chain solutions provider, operating in more than 70 countries. The company harnesses advanced analytics, AI, and cloud‑native platforms to streamline freight, warehousing, and last‑mile delivery for Fortune 500 clients.

Tech talent at Echo is recruited for roles such as Software Engineer (Java/Spring, Python), Data Analyst (SQL, Tableau), Cloud Engineer (AWS, Kubernetes), DevOps (CI/CD pipelines), and UX Designer. Candidates can expect collaborative cross‑functional projects, mentorship from senior engineers, and access to cutting‑edge tools and certifications.

Job Transparency aggregates Echo’s salary ranges (e.g., $85k–$120k for mid‑level Software Engineers) and real employee sentiment scores. By viewing this data before applying, you can negotiate more confidently, benchmark against industry peers, and spot roles that match your career growth goals.

No open positions at Echo Global Logistics right now.

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Frequently Asked Questions

What is it like to work at Echo Global Logistics?
Echo fosters a culture that values teamwork across 70+ countries, offers flexible remote options, and rewards innovation with regular hackathons. Employees receive yearly skill‑upgrades, access to industry conferences, and mentorship programs that accelerate career paths from junior roles to senior leadership.
What types of positions are available at Echo Global Logistics?
The company hires for a mix of technical and non‑technical roles, including Software Engineer, Cloud Engineer, Data Analyst, DevOps Engineer, UX Designer, and Logistics Systems Analyst. Non‑tech roles such as Supply‑Chain Analyst and Operations Manager also require analytical thinking and project management.
How can I stand out as an applicant for Echo Global Logistics?
Tailor your resume to highlight measurable impact (e.g., reduced processing time by 15% using Python scripts). Showcase certifications in AWS, Terraform, or Lean Six Sigma. Prepare for coding interviews with data‑structure challenges, mock system‑design conversations, and demonstrate passion for logistics by discussing relevant projects or internships.

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