# Engineering Manager

**Company:** [DAT Freight & Analytics](https://hotfix.jobs/companies/dat-freight-analytics)
**Location:** Denver, CO
**Role:** Engineering Management
**Experience:** 5+ years
**Skills:** Kubernetes, AWS, Docker, Helm, argo cd, Terraform, CI/CD, DevOps, Kafka, Snowflake, dbt
**Posted:** 2026-07-16

> Lead a team of 5-8 engineers on carrier rate data systems at DAT. Own migration of legacy codebase to Kubernetes/cloud-native architecture while delivering product value. Requires 5+ years software engineering and 2+ years engineering management experience.

## Job Description

## Team Leadership & Development
- Lead, mentor, and grow a team of 5–8 software engineers across different levels, fostering a culture of ownership, craftsmanship, and continuous improvement.
- Conduct regular 1:1s, set clear performance expectations, and write rigorous, development-focused performance reviews.
- Recruit, interview, and hire exceptional engineers; build a diverse, high-performing team.
- Create individualized growth plans that align personal career goals with team and business needs.
- Resolve team conflicts and ambiguity proactively; protect the team’s focus and psychological safety.

## Product & Delivery
- Operate within DAT’s Product Operating Model—partnering with Product Managers on discovery, prioritization, and roadmap planning to ensure engineering is a proactive voice in product direction.
- Own sprint planning, backlog refinement, and delivery forecasting; hold the team accountable to commitments while managing scope responsibly.
- Translate high-level business goals into well-scoped engineering milestones, removing blockers and managing dependencies across teams.
- Drive a culture of high-quality engineering practices: code review standards, test coverage, observability, and on-call readiness.
- Report on team health, delivery velocity, and technical health metrics to Engineering leadership.

## Technical Strategy & Modernization
- Lead the multi-phase migration of CSB’s legacy codebase to a modern, cloud-native architecture deployed on Kubernetes, with a disciplined approach to risk management and zero customer-impacting regressions.
- Collaborate with senior engineers and architects to define target-state architecture, sequencing migration work alongside new feature delivery.
- Champion containerization, infrastructure-as-code, and GitOps practices across the team.
- Drive adoption of modern observability and deployment tooling (CI/CD, Helm, Argo, or equivalent).
- Evaluate technical trade-offs with an eye toward long-term maintainability, developer experience, and operational cost.

## Cross-Functional Collaboration
- Partner with peer engineering managers, platform teams, and data engineering to ensure CSB systems integrate reliably with downstream consumers and upstream data sources.
- Represent the CSB team in engineering leadership forums; contribute to org-wide engineering standards, hiring committees, and technical guilds.
- Communicate technical status, risks, and decisions clearly to non-technical stakeholders including Product, Data, and Business leadership.

## Skills and Experience
- 5+ years of software engineering experience, with at least 2 years in an engineering management or technical lead role managing direct reports.
- Demonstrated experience delivering complex software products end-to-end—from requirements through production.
- Strong working knowledge of the Product Operating Model or equivalent modern product development frameworks (continuous discovery, dual-track agile, outcome-based roadmaps).
- Hands-on experience leading a migration from a legacy codebase or monolith to a modern, service-oriented or microservices architecture.
- Practical experience with Kubernetes: deploying, scaling, and operating containerized workloads in a production environment.
- Fluency with CI/CD pipelines, DevOps practices, and the tooling ecosystem (Docker, Helm, Argo CD, Terraform, or equivalents).
- Solid understanding of cloud platforms (AWS) and distributed system design patterns.
- Excellent written and verbal communication skills; ability to operate at both strategic and tactical levels.
- Track record of recruiting and retaining strong engineers; skilled at providing direct, growth-oriented feedback.

## Bonus Skills
- Experience in data-intensive systems—stream processing, high-throughput ingestion pipelines, or real-time analytics platforms.
- Background in freight, logistics, marketplace, or fintech domains.
- Familiarity with event-driven architecture, Kafka, or similar messaging infrastructure.
- Experience working with Snowflake, dbt, or modern data stack tooling.
- Exposure to ML/AI-adjacent engineering (model serving, feature pipelines, or experimentation infrastructure).
- Active participation in engineering communities—open-source contributions, writing, conference talks, or internal thought leadership.

## Benefits
- Medical, Dental, Vision, Life, and AD&D insurance
- Parental Leave
- Flexible Vacation Time (FVT)
- An additional 10 holidays of paid time off per calendar year
- 401k matching (immediately vested)
- Employee Stock Purchase Plan
- Short- and Long-term disability sick leave
- Flexible Spending Accounts
- Health Savings Accounts
- Employee Assistance Program
- Additional programs - Employee Referral, Internal Recognition, and Wellness
- Competitive salary and benefits package

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