Jobs in the United States

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Added 32 mins ago
TT
Engineering Manager
True Talent Solutions Partners
Remote, United States
- $165,000 to $205,000 USD / year
- Proficiency with React, TypeScript, Python, and Kotlin or Go; familiarity with Java, PostgreSQL, AWS, Docker, Terraform, and CI/CD.
Added 36 mins ago
Engineering Manager, Data Platform and Governance
Canopy
Remote, United States
Proficiency with SQL and at least one modern programming language such as Python, Java, or Scala.
Added 36 mins ago
Senior Machine Learning Engineer
Canopy
Remote, United States
Expertise in Python with extensive experience in at least one deep learning framework (PyTorch or TensorFlow.
Added 37 mins ago
Software Engineer (Hybrid) - L0 - Active TS/SCI with Polygraph Clearance
EMTAK LLC
Annapolis Junction, MD
Experience with programming/scripting languages such as Microsoft .NET, C++, C, SQL, Java, Python, or C#.
Added 55 mins ago
Staff Data Engineer
DAT
Denver, CO
Data Engineering: Strong data engineering background working with dbt, Snowflake, Kafka, and cloud-based services (AWS S3, EMR, Glue).
Added 59 mins ago
MS
DevOps Engineer
M9 Solutions LLC
Colorado Springs, CO
- $200,000 to $215,000 USD / year
Added 1 hour ago
Senior Solutions Architect Expert
CADDi
Chicago, IL
Code and ship integrations in Python/TypeScript/Rust, build APIs and integrations, and stand up data pipelines.
Added 1 hour ago
Sr. Data Engineer
Synergy Sports Technology LLC
NEW YORK, NY
…Design and develop scalable Nifi ingestion pipelines within AWS cloud services to consume real-time and batch data from external sources. Ensure the seamless integration of AWS-based tools…
Added 1 hour ago
Engagement Manager (EXL94)
ExlService.com, LLC
NEW YORK, NY
Added 1 hour ago
Senior Machine Learning Engineer
C the Signs
Remote, United States
Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy).
Added 1 hour ago
Senior Machine Learning Engineer
C the Signs
Remote, United States
Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy).
Added 1 hour ago
Senior Machine Learning Engineer
C the Signs
Remote, United States
Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy).
Added 1 hour ago
Senior Machine Learning Engineer
C the Signs
Remote, United States
Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy).
Added 1 hour ago
Senior Machine Learning Engineer
C the Signs
Remote, United States
Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy).
Added 1 hour ago
ES
Lead GIS Solution Engineer - Defense
Environmental Systems Research Institute Inc.
Louisville, CO
- $120,016 to $201,344 USD / year
Knowledge ofcloud computing concepts and environments (Microsoft Azure or AWS)
Added 2 hours ago
Staff Software Engineer, Agentic Workflows
Intuit
New York, NY
Proficiency in cloud-based architectures (AWS, Azure, GCP), SaaS platforms, cloud infrastructure and an understanding of container technologies (Docker, Kubernetes)
Added 2 hours ago
UO
CIRES / NOAA NCEI Ocean Acoustic Data Manager Associate Scientist I-II
University of Colorado Denver
Boulder, CO
- $57,942 to $85,272 USD / year
Added 3 hours ago
IT Cloud Engineer, Engineering Platform Automation
Mayo Clinic
Rochester, MN
Added 3 hours ago
C
Technical Systems Engineer II (Full-Time) - United States
Cisco
RTP, NC
- Full-time
Working knowledge of container platforms such as Docker or Podman and cloud environments like AWS, Azure, GCP, or OpenShift.
Added 3 hours ago
Staff Software Engineer
Cisco Systems, Inc.
Remote, United States
…environments in Splunk Cloud. We work at a significant scale across AWS, GCP, and Kubernetes, supporting both traditional and containerized workloads. This is an opportunity to apply deep…
Added 3 hours ago
SG
Backend Software Engineer, Weather & Aviation
Spire Global
Boulder, CO
- $34,986 USD / year
Build and improve AWS-based backend services with a focus on availability, fault tolerance, and performance as load grows
Added 3 hours ago
Forward Deployed Engineer (AI Integration + Design) - Gen AI & Voice AI - US
Blue Machines AI
NY · New York, NY
Build and deploy solutions leveraging cloud platforms (GCP / AWS / Azure)
Added 4 hours ago
Lead Software Engineer - AI
Humana
Atlanta, GA
Strong proficiency in Python, Typescript and modern ML tooling (Hugging Face, PyTorch, or similar)
Added 4 hours ago
BL
AI Developer
Block LLP
Burbank, CA
- $80,000 to $130,000 USD / year
Block LLP is seeking a hands-on AI Developer to design, build, and maintain AI-powered applications, automations, and integrations that improve how our firm operates.
Added 5 hours ago
Senior AI Operations Engineer (Senior Software Engineer)
Vizient, Inc.
Centennial, CO

Canopy

Engineering Manager, Data Platform and Governance

Remote, United States

Base Salary: $123,800 - $173,100

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Job details

Pay: Base Salary: $123,800 - $173,100
Posting language: English
Posted: Jun 9, 2026

Original job description

We are seeking an Engineering Manager, Data Platform & Governance to lead the development of our data capabilities and governance practices across connected security products and cloud services. This role will be responsible for defining and executing our data strategy, building scalable data platforms and analytics capabilities, and establishing the governance, privacy, and compliance foundations required to support a growing connected-product ecosystem. The ideal candidate combines strong engineering leadership with deep expertise in data architecture, analytics, governance, and cloud technologies.

As part of a fast-moving organization focused on AI-powered vehicle security solutions, this leader will partner closely with Product, Software Engineering, AI/ML, Security, Legal, and our parent company's digital teams to ensure that data is accurate, trusted, secure, and actionable. They will help transform data generated from connected devices, cloud services, customer interactions, and AI systems into insights that drive product innovation, operational excellence, and business growth. This is a highly cross-functional role with significant influence on our data strategy, technology roadmap, compliance posture, and future initiatives.

Responsibilities:

Define and execute the company's data platform, analytics, and governance strategy.
Build and lead a high-performing team of data engineers, analytics engineers, data scientists, and analysts as the organization grows.
Establish technical roadmaps, architecture standards, and best practices for data systems and services.
Partner with executive leadership to identify opportunities to leverage data for product innovation, customer experience, operational efficiency, and business growth.
Develop metrics and KPIs that measure product performance, customer engagement, and business outcomes.
Lead the development of data pipelines, ETL/ELT processes, streaming architectures, and data integration solutions.
Establish data quality, observability, lineage, cataloging, and reliability practices.
Develop dashboards and data products that provide actionable insights to engineering, product, operations, and leadership teams.
Develop and maintain enterprise data governance policies, standards, and operating procedures.
Define data ownership, stewardship, retention, classification, and lifecycle management processes.
Lead initiatives related to privacy, consent management, and regulatory compliance, including GDPR, CCPA, and other applicable regulations.
Partner with Security, Legal, and Compliance teams to implement controls that protect customer and product data.
Establish auditability, data access controls, and governance processes for AI and analytics workloads.
Support security reviews, risk assessments, compliance audits, and customer data inquiries.
Bachelor's degree in Computer Science, Software Engineering, Data Science, Information Systems, or a related technical field.
8+ years of experience in software engineering, data engineering, analytics engineering, data science, or related disciplines.
3+ years of experience leading technical teams, including hiring, mentoring, performance management, and technical leadership.
Experience designing and operating modern cloud-based data platforms and data pipelines.
Strong understanding of data warehousing, data lakes, ETL/ELT architectures, data modeling, and data integration patterns.
Proficiency with SQL and at least one modern programming language such as Python, Java, or Scala.
Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
Experience implementing data governance frameworks, data quality programs, and data lifecycle management practices.
Working knowledge of privacy and data protection regulations, including GDPR and CCPA.
Experience building analytics solutions, dashboards, and KPI frameworks that support business decision-making.
Strong stakeholder management, communication, and collaboration skills.
Proven ability to balance strategic planning with hands-on technical execution.

Preferred Qualifications:

Master's degree in Computer Science, Software Engineering, Data Science, Information Systems, or a related technical field.
Reside within the Detroit, Michigan area or nearby, with the ability to work in a hybrid environment and regularly commute to our Detroit office as needed.
Comprehensive medical benefits coverage, dental plans and vision coverage.
Health care and dependent care spending accounts.
Employee and Family Assistance Program (EAP).
Employee discount programs.
Retirement plan with a generous company match.
Generous Paid Time Off, Sick, and Holidays
Family Leave (Maternity, Paternity)
Short- and long-term disability
Life insurance and accidental death & dismemberment insurance

Compensation Range Compensation may vary depending on skills and experience. Base Salary: $123,800 - $173,100

Diversity, Equity and Inclusion: At Canopy, we're on a mission to end theft from vehicles and revolutionize vehicle security by building cutting-edge technology. We will achieve this by prioritizing individuals and staying attuned to the evolving needs of our people, users, and industry trends. We foster a workplace culture that embraces diversity and authenticity, enabling us to flourish as a team of exceptional individuals working towards a common purpose. We gain a deeper understanding of our users' experiences by continuously improving our skills and expanding our knowledge. A more diverse, equitable, and inclusive Canopy leads to greater innovation and success.

Equal Opportunity: Canopy does not discriminate on the basis of race, sex, color, religion, age, national origin, marital status, disability, veteran status, genetic information, sexual orientation, gender identity or any other reason prohibited by law in provision of employment opportunities and benefits.

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