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Manager Data Engineering Jobs in Remote, OR (NOW HIRING)

Infrastructure Engineer

OR ยท Remote

$100K - $200K/yr

Collaborate closely with product managers, designers, and backend engineers to translate complex legal workflows into intuitive, responsive UI components. * Optimize data routing across complex ...

Principal Product Manager - Outbound

OR ยท On-site +1

$152K - $202K/yr

Lumen is the trusted network for the AIpowered world, connecting people, data, and applications ... Partner with Engineering, Sales and Marketing to ensure consistent field execution * Develop sales ...

JIRA Engineer

OR ยท On-site +1

$49.50 - $64.75/hr

Define the migration scope and identify critical tasks (e.g., data cleanup, user management ... Bachelor's degree in information technology, Computer Science, Software Engineering or related ...

Senior Software Engineer

OR ยท On-site

$114K - $151K/yr

Syniti's cloud-native platform sets new standards in enterprise data management, combining powerful ... The ROLE The Senior Software Engineer assumes a leadership role in our technical endeavors ...

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Electrical Revit Designer

OR ยท Remote

$40 - $60/hr

Power (Deliver, Generation), Campus Utility, Industrial Water/Wastewater, Mission Critical (Data ... Cable schedules, sizing support, and cable management plans * Grounding/bonding plans and lighting ...

Senior Construction Engineer

OR ยท On-site +1

$84K - $112K/yr

... management and vendor engagement; including supervising the estimating, design, engineering ... data. Minimums and maximums may vary based on location. Individual pay is based on skills ...

Senior Front End Engineer - Avaya Infinity Platform

OR ยท On-site +1

$114K - $158K/yr

What We're Looking For Must Have - 7+ years of professional software engineering experience ... WebSockets, streaming data, or similar and understand the state management and performance ...

Lead IAM Engineer - Remote

OR ยท Remote

$125K - $140K/yr

Summary The Lead Identity and Access Management Engineer is responsible for designing, implementing ... Company Description Data Analysis Inc (DAI) is the parent company of a global group of privately ...

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Showing results 1-20

Manager Data Engineering information

See Remote, OR salary details

$31K

$97K

$171.8K

How much do manager data engineering jobs pay per year?

As of Jun 27, 2026, the average yearly pay for manager data engineering in Remote, OR is $97,049.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,900.00 and $125,400.00 per year, depending on experience, location, and employer.

What is the difference between Manager Data Engineering vs Data Engineer?

AspectManager Data EngineeringData Engineer
Required CredentialsBachelor's or Master's in CS, Data Science, or related; often leadership experienceBachelor's or higher in CS, IT, or related; technical certifications optional
Work EnvironmentTeam leadership, project management, strategic planningData pipeline development, coding, data modeling
Employer & Industry UsageTech companies, finance, healthcare, where data teams are commonData-focused roles across various industries

The main difference is that Manager Data Engineering oversees data teams and projects, focusing on strategy and leadership, while Data Engineers handle the technical implementation of data pipelines and infrastructure. Managers typically have more experience and leadership skills, whereas Data Engineers are more hands-on with coding and data architecture.

What are the key skills and qualifications needed to thrive as a Manager Data Engineering, and why are they important?

To thrive as a Manager Data Engineering, you need expertise in data architecture, advanced analytics, and leadership, typically supported by a degree in computer science or a related field. Familiarity with big data tools (like Hadoop, Spark), data warehousing systems, cloud platforms (AWS, Azure), and certifications such as AWS Certified Data Analytics are highly valued. Strong communication, problem-solving, and team management skills help drive project success and foster collaboration. These skills ensure effective data solutions, alignment with business goals, and the ability to lead and grow high-performing engineering teams.

What are Manager Data Engineering roles and responsibilities?

A Manager Data Engineering oversees teams that design, build, and maintain data infrastructure and pipelines for organizations. They are responsible for ensuring the efficient flow and storage of data, implementing best practices in data management, and collaborating with stakeholders to meet business data needs. Additionally, they mentor and guide data engineers, manage project timelines, and ensure data security and quality standards are met. Their role often involves strategic planning to enable data-driven decision making across the company.

How does a Manager of Data Engineering typically collaborate with data scientists and business stakeholders?

A Manager of Data Engineering often serves as a bridge between technical teams and business stakeholders. They work closely with data scientists to ensure that data pipelines and infrastructure meet analytical needs, while also translating business requirements into actionable engineering solutions. Regular coordination meetings, clear documentation, and cross-functional projects are common, enabling seamless collaboration and alignment on goals. This role requires strong communication skills and the ability to balance technical priorities with business objectives.
What are popular job titles related to Manager Data Engineering jobs in Remote, OR? For Manager Data Engineering jobs in Remote, OR, the most frequently searched job titles are:
What job categories do people searching Manager Data Engineering jobs in Remote, OR look for? The top searched job categories for Manager Data Engineering jobs in Remote, OR are:
Infographic showing various Manager Data Engineering job openings in Remote, OR as of June 2026, with employment types broken down into 77% Full Time, 18% Part Time, and 5% Contract. Highlights an 79% Physical, 3% Hybrid, and 18% Remote job distribution, with an average salary of $97,049 per year, or $46.7 per hour.
Infrastructure Engineer

Infrastructure Engineer

Anytime AI

OR โ€ข Remote

$100K - $200K/yr

Full-time

Medical, Dental, Vision, Life, PTO

Posted 25 days ago


Job description

About Anytime AI

At Anytime AI, we are building the Premier AI Legal Assistant for Plaintiff Lawyers, leveraging the most cutting-edge Generative AI technologies. We empower attorneys by automating essential workflows in personal injury cases, facilitating legal research, auto-drafting legal memos, and analyzing legal documents and medical records to expedite fact-finding. Our secure solution can responsibly help lawyers reduce up to 90% of manual efforts, enabling them to better serve their clients and positively impacting the lives of millions.

Position Overview

As an Infrastructure Engineer, you will play a pivotal role in building and maintaining the foundational systems that power our AI-driven legal tech platform. Your work will directly ensure the stability, scalability, and security of our services. You will design and optimize high-concurrency distributed systems, ensure that complex AI tasks and data flows run efficiently, and provide robust technical support for our full-stack engineers and AI researchers.

Responsibilities

  • Design, build, and maintain high-availability, high-concurrency, and low-latency distributed infrastructure to support the platformโ€™s rapidly growing business needs.
  • Lead the in-depth analysis of microservices and web service architectures, tackle performance bottlenecks, and continuously optimize API response times and overall system throughput.
  • Establish comprehensive monitoring, alerting, and logging systems to ensure 99.9%+ high availability for core services. Rapidly respond to and troubleshoot complex production incidents.
  • Manage and optimize cloud-based infrastructure (e.g., AWS/GCP), utilizing tools like Docker and Kubernetes for advanced service orchestration and scheduling.
  • Collaborate closely with product managers, designers, and backend engineers to translate complex legal workflows into intuitive, responsive UI components.
  • Optimize data routing across complex systems, ensuring highly efficient and stable operation of relational databases, NoSQL databases (such as MongoDB), and caching/vector stores (such as Redis, Pinecone).
  • Uphold the highest standards of software quality and data security at the infrastructure level, implementing security best practices given the strict sensitivity of legal and medical data.

Requirements

  • B.S. in Computer Science, Engineering, or a related field.
  • Core: Extensive experience in developing distributed systems, with the ability to independently design and implement complex, scalable backend architectures.
  • Core: Deep understanding of Web Service architecture, with exceptional skills in system tuning, performance bottleneck analysis, and resolution (e.g., handling high concurrency and massive data processing).
  • 3+ years of experience in backend development, infrastructure engineering, or Site Reliability Engineering (SRE).
  • Proficiency in at least one major backend programming language (such as Python, Go, or Rust) with strong coding fundamentals.
  • Solid experience with various database technologies (MySQL, PostgreSQL) and NoSQL/caching mechanisms (Redis, DynamoDB, etc.).
  • Familiarity with the cloud-native ecosystem, including hands-on experience with containerization (Docker), orchestration tools (Kubernetes), and Infrastructure as Code (IaC, e.g., Terraform).
  • Strong analytical and problem-solving skills, adept at identifying issues and maintaining optimal performance under varying loads.

Preferred Skills

  • Major Plus: Hands-on experience participating in the architecture or backend service development of Agentic AI Systems.
  • Experience developing foundational support services for AI-driven products or open-source LLM projects.
  • Familiarity with information security compliance standards (e.g., SOC2, HIPAA) and experience architecting systems for sensitive legal or healthcare data.
  • Capability to work effectively in a fast-paced and dynamic startup environment.

This Might Be for You If...

  • You thrive on proactivity and have a โ€œget things doneโ€ mindset.
  • You are eager to keep up with the latest industry trends and committed to continuous learning and innovation.
  • You possess a strong passion for building resilient, scalable infrastructure that enables cutting-edge AI products.
  • You excel in environments where projects and priorities may shift, showing your flexibility and problem-solving prowess.
  • You are an excellent communicator, capable of effectively collaborating with a dispersed team to drive platform reliability and performance.
  • You are keen on working in a collaborative environment where your work directly influences the direction of the company.

What We Offer

  • Competitive salary and equity package.
  • Comprehensive benefits package including health, dental, and vision insurance.
  • Opportunity to work with a talented and passionate team at the forefront of AI technology.
  • Flexible work environment with opportunities for professional growth and development.
  • The chance to significantly impact the legal tech industry and help shape the future of AI in law.

How to Apply

If youโ€™re passionate about technology and product in the AI and legal tech space and eager to make a significant impact in a high-growth startup, we want to hear from you! Join us in transforming the way lawyers work with AI-driven solutions.

Anytime AI is an equal opportunity employer. We celebrate diversity and are committed to fostering an inclusive environment for all employees.

Company Description

www.anytimeai.ai