Echo Global Logistics

Role Description This is an AI-first engineering role. We expect you to leverage AI tools to design, build, and deliver solutions - the value you bring is knowing what to build, how to solve problems, and how to validate results. As our Senior Data Engineer, you'll lead the design and development of scalable data pipelines and data products on our Azure-based platform, with Databricks at the core. You'll build trusted, production-grade data that powers analytics, operational intelligence, and AI initiatives across the business. What You'll Do - Lead the design and development of scalable data pipelines in Databricks - Build and optimize Lakehouse architecture using Medallion (Bronze/Silver/Gold) design - Develop data solutions using Python, Pyspark, Spark SQL, and Delta Lake - Integrate APIs, enterprise systems, SaaS platforms, and external data sources - Establish data quality, testing, monitoring, and performance standards - Mentor engineers and promote engineering best practices - Drive CI/CD, automation, and AI-first development practices - Partner with analytics engineers, data scientists, and application teams - Evaluate new technologies through proof-of-concept projects Qualifications - AI-first development mindset - 5+ years of data engineering experience, including senior or lead responsibilities - Expert Python and SQL skills - Deep experience with Databricks, Apache Spark, and Pyspark - Experience building production data pipelines - Lakehouse architecture and Medallion modeling experience - Data quality, testing, and monitoring expertise - CI/CD and Git experience - Experience with Azure Data Factory, Airflow, or similar orchestration tools - REST API and enterprise system integrations - Bachelor’s degree in computer science, Engineering, Information Systems, or equivalent experience - Strong communication and collaboration skills Requirements - Azure Databricks - Azure Data Factory - Azure Data Lake Storage - Delta Lake - Apache Airflow - Databricks Asset Bundles - Databricks Apps - MLflow, Mosaic AI, Unity Catalog - Experience supporting AI/ML workloads - Databricks Data Engineer Certification Benefits - This role is eligible for a bonus that is based on a combination of personal and business performance. - For more information about our benefit offerings, please visit our careers page at https://www.echo.com/company/careers .

• Run detailed and comprehensive reporting to provide insight into client billing status • Investigate invoices on 3rd party billing portals to identify client billing exceptions • Identify root cause of client billing exceptions, and resolve exceptions • Suggest and implement client billing process changes to avoid exceptions • Partner with AR, Cash Applications and Credit departments

Role Description The Business Automation Engineer on the Echo Global Logistics Data Team is responsible for creating and maintaining a digital workforce using a Robotic Process Automation tool. In this role, you will build and maintain software robots that will assist in the automation of key business processes. In addition to the technical aspect of this role, you will also work closely with business stakeholders to gather and document requirements. - Collaborate with Product Owners, Business Sponsors, Engineers, QA and Architecture - Develop deep expertise of Echo’s internal and client-facing technology product lines - Document complex software functionality - Identify and Optimize current business practices, workflows, and systems - Utilize internal systems to automate redundant processes through development - Leverage SQL to extract and query data - Analyze data and provide reports for various internal departments and management to increase efficiency and effectiveness of data provided - Provide mentorship to teammates - Work to continuously advance your skill set - Ability to prioritize projects from competing stakeholders and manage client expectations Qualifications - 4+ years UI Path - 1-3 years Systems Analysis, Automation or Logistics experience - Proficient in SQL - Excellent oral and written communication skills - Very organized and detail-oriented - Proven record of accomplishment in working in a fast-paced environment Requirements - Proficiency in Python scripting for automation and data processing - Experience with popular Python libraries (NumPy, Pandas, Matplotlib, Requests, etc.) - Ability to build and maintain reusable, modular Python code - Knowledge of API integration and RESTful services in Python - Ability to use AI coding assistants and productivity tools (e.g., Copilot, ChatGPT) - Hands-on experience with AI/ML frameworks (TensorFlow, PyTorch, scikit-learn) - Undergraduate degree in: Computer Science, Engineering, Statistics/Mathematics, Analytics, Logistics/Supply Chain, or Business Benefits - For more information about our benefit offerings, please visit our careers page at https://www.echo.com/company/careers . - Compensation: $73,987.00 - $107,576.00 per year - This role is eligible for a bonus that is based on a combination of personal and business performance.

Role Description We are seeking a Senior Cloud Platform Engineer with deep Microsoft Azure expertise to lead the design, governance, and evolution of our enterprise Azure cloud platform. This highly influential role is responsible for enterprise Azure architecture, Landing Zones, Well-Architected governance, platform reliability, FinOps, disaster recovery, AI-driven operations, and engineering standards supporting mission-critical logistics systems. - Architect and govern enterprise-scale Microsoft Azure platforms with multi-region resilience and zero single points of failure - Lead Azure Landing Zone architecture, governance, networking, security, and platform standards - Drive Azure Well-Architected Framework reviews and engineering best practices - Build enterprise Infrastructure as Code using Terraform and Azure DevOps CI/CD pipelines - Lead Azure networking, identity, security, and platform observability using Azure-native services and Dynatrace - Establish FinOps practices using Azure Cost Management, tagging, budgets, and optimization strategies - Own disaster recovery and business continuity using Azure-native resilience services - Drive AI-powered cloud operations, automation, and intelligent platform engineering - Mentor engineers, lead architecture reviews, and define enterprise cloud strategy Qualifications - Bachelor’s degree in computer science, Engineering, or equivalent experience (or equivalent practical experience) - 10+ years designing enterprise cloud infrastructure - 7+ years designing and operating Microsoft Azure platforms - Proven experience delivering Azure Landing Zones, governance, networking, identity, and security at enterprise scale - Deep expertise across Azure compute, networking, storage, monitoring, Infrastructure as Code (Terraform), Azure DevOps, and CI/CD - Experience with Azure Well-Architected Framework, FinOps, disaster recovery, and platform reliability - Strong technical leadership with experience influencing architecture across engineering teams Requirements - AWS or Google Cloud Platform experience (Azure remains the primary platform) - Multi-cloud Terraform and cloud-agnostic Infrastructure as Code - Identity federation (Microsoft Entra ID, OIDC, SAML) - Observability platforms such as Dynatrace or Datadog - FinOps and enterprise cloud cost optimization Certifications - Microsoft Azure certifications highly regarded (AZ-104, AZ-305, AZ-400, AZ-700) - Terraform Associate or Professional - FinOps Practitioner / FinOps Certified Engineer - AWS or GCP certifications welcomed for multi-cloud experience Benefits - This role is eligible for a bonus that is based on a combination of personal and business performance - For more information about our benefit offerings, please visit our careers page at Echo Careers

• Lead day-to-day SOC operations across cloud and on-prem environments • Serve as Incident Commander for major security incidents • Drive AI-powered security operations, automation, and threat detection initiatives • Lead detection engineering, threat hunting, and response improvements • Own and optimize SIEM, SOAR, EDR/XDR, and threat intelligence platforms • Develop incident response plans, playbooks, and automation workflows • Partner with IT, Cloud, Risk, and Compliance teams to strengthen security posture • Mentor and develop SOC analysts and security engineers

• Triage, investigate, and respond to alerts across the SOC queue, hitting SLAs and following playbooks • Lead incident investigations, gather evidence, correlate events, and coordinate containment and recovery • Build and tune AI-assisted and agentic workflows across SIEM, SOAR, and EDR, including Claude via API • Engineer detection content: rules, queries, and alert tuning mapped to MITRE ATT&CK • Write and maintain SOAR playbooks and automation scripts that cut manual toil and accelerate response • Hunt for threats proactively, forming and testing hypotheses against current adversary TTPs • Maintain the SOC technology stack: integrations, health, and content engineering across all platforms • Keep SOX and SOC 2 Type 2 audit-ready evidence: logging coverage, incident records, and procedures • Partner with IT, Cloud, Risk, and Compliance to embed telemetry and surface findings clearly

Role Description The Data Science Operations Lead sits at the intersection of Data Science, Engineering, and IT Architecture: a senior individual-contributor role focused on the operational side of the model lifecycle, including deployment, monitoring, scaling, and maintenance. This role exists to keep a growing portfolio of models in production reliable, observable, and well-governed without pulling Data Scientists away from building new capabilities. - Model deployment partnership: Serve as Data Science's primary counterpart to the Architecture / Platform Engineering team on model deployment. Own the day-to-day collaboration, hand-offs, and coordination. - Production reliability and incident response: Act as first point of contact for production issues (outages, errors, degraded endpoints) across all deployed models and endpoints. This role carries an explicit on-call / off-hours availability expectation. - Resilient, error-aware systems: Bring rigor to error handling and fault tolerance. Design and enforce practices that prevent errors before they happen. - Monitoring and observability: Establish and maintain the monitoring and observability needed to manage a portfolio of production models. - Deployment expertise and team enablement: Develop a detailed understanding of the deployment system and help Data Scientists move from experiment to production quickly and safely. - Governance and quality: Own versioning, reproducibility, and operational governance for models in production. Qualifications - Hands-on experience operating ML or software systems in production: an MLOps, DevOps, SRE, platform, or data science background with demonstrated production ownership. - Strong working knowledge of CI/CD pipelines, deployment automation, and a major cloud platform (AWS, Azure, or GCP). - Demonstrated expertise in error handling, fault tolerance, and designing systems that fail gracefully. - Proficiency in Python (R a plus), and a working understanding of how ML models are packaged, served, monitored, and retrained. - Comfort serving as first point of contact for production issues, including an on-call / off-hours expectation. - A teaching disposition, with the ability to translate complex infrastructure into clear guidance for colleagues. Requirements - Experience standing up monitoring and observability for a portfolio of production models or services. - Familiarity with containerization (Docker) and orchestration (Kubernetes), infrastructure-as-code, and model-serving frameworks. - Familiarity with MLOps tooling such as MLflow, Airflow, or Kubeflow, or managed equivalents. - Experience working across an engineering/architecture boundary as a liaison or embedded operations partner. - Pragmatic use of AI tooling to accelerate operations and code-quality work. Benefits - For more information about our benefit offerings, please visit our careers page at https://www.echo.com/company/careers . - Compensation: $129,352.00-188,077.00 per year. - This role is eligible for a bonus that is based on a combination of personal and business performance.

• Join Echo’s Integration Team as a Technical Business Analyst • Gather and document business & technical requirements • Support EDI/API integration projects from testing through implementation • Create functional specs, process documentation, and test cases • Coordinate end-to-end testing with clients, carriers, and internal teams • Communicate project updates, timelines, risks, and go-live activities • Partner with developers to deliver reliable, supportable solutions

Role Description As a data engineer at Echo Global Logistics, you will: - 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 your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, 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 NoSQL databases, and a variety of AWS tools and services such as AWS Glue, Firehose, S3, Redshift, and Athena. AI-Augmented Development - Define and lead adoption of GenAI coding workflows using tools such as GitHub 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. Outcome-Driven Engineering - 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. AI Governance & Quality Oversight - 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. Qualifications - At least 5 years of professional data or software engineering experience (Internship experience does not apply). - 5+ years of experience in at least 2 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 Quicksuite, PowerBI, 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 (GitHub Copilot, Cursor, or equivalent). Preferred Skills - 7+ years of professional data or software engineering experience. - Bachelor's Degree in computer science or equivalent years of 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, modernization initiatives. - Strong background in event-driven Data Lake architectures. Requirements - This job operates in an office environment and uses a computer, telephone and other office equipment as needed to perform duties. - The noise level in the work environment is typical of that of an office with an open seating floor plan. - The employee may encounter frequent interruptions throughout the work day. - The employee is regularly required to sit, talk, or hear. Benefits - For more information about our benefit offerings, please visit our careers page at Echo Careers . Compensation - $112,498.00 - $163,571.00 per year. - This role is eligible for a bonus that is based on a combination of personal and business performance.

Role Description An Outside Sales Executive is what we call a forward-thinking, incentive driven, sales powerhouse. They seek out new business through outside and inside sales efforts as well as maintain existing business relationships. Reporting to the Regional Vice President, the Outside Sales Executive will focus on building and cultivating relationships. - Build, maintain and manage account relationships through constant contact and advocacy - Offer solutions and solve problems for client’s shipping needs - Qualify new prospects via inside and outside sales effort - Make sales presentations to prospective and existing customers - Engage prospective clients at all levels - Reach and exceed targeted revenue goals by closing new business and growing existing client business - Build interpersonal relationships with key internal stakeholders across the business Qualifications - 5+ years of direct sales and business development experience - Transportation/logistics experience required - A./B.S. degree from solid academic institution - Enthusiastic and outgoing personality - Aggressive and competitive nature - Adaptability and flexibility - Quick learner who is successful at multi-tasking - Proven “take charge performer” who has both initiative and a strong bias for action - Enjoys and thrives in fast paced, dynamic work environment - Ability to work remotely - Strong oral and written communication skills and excellent ability in personal interaction - Proactively offers advice and solutions in solving Client's problems Benefits - For more information about our benefit offerings, please visit our careers page at https://www.echo.com/company/careers . - Compensation: $80,000.00 per year + Uncapped Commission Company Description Echo Global Logistics is a leading provider of technology-enabled transportation management services. As a third-party logistics provider, we simplify transportation management for our clients and carriers, handling crucial tasks so they can focus on what they do best. From coast to coast, dock to dock, and across all major transportation modes, Echo connects businesses that need to ship their products with carriers who transport goods quickly, securely, and cost-effectively.