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Intern Cloud Database Engineer Jobs in Colorado (NOW HIRING)

Azure Data Engineer Associate (DP-203) * Microsoft Certified: Azure Developer Associate * AWS ... Other advanced industry infrastructure and cloud certifications as well as experience integrating ...

Senior Data Engineer

Almont, CO · On-site

$75 - $85/hr

Integrate data from ERP, CRM, manufacturing, finance, operational databases, APIs, files, and cloud ... Mentor other data engineers and transfer VaultSpeed knowledge to the internal team. * Participate ...

Sr. Database Administrator

Denver, CO · On-site

$51.25 - $70.50/hr

Senior Database Administrator and Database Reliability Engineer (DBRE) with 8+ years of experience ... Experienced in database modernization, cloud migrations, Infrastructure as Code (Terraform ...

... cloud adoption, and implementing automation that improves reliability, security, and operational ... Working alongside application developers, data engineers, infrastructure, cybersecurity, and ...

... cloud adoption, and implementing automation that improves reliability, security, and operational ... Working alongside application developers, data engineers, infrastructure, cybersecurity, and ...

The engineer will partner with data engineers, data architects, infrastructure, security, and ... Integration experience with databases, REST APIs, files, cloud storage, and enterprise applications.

Sr. Database Administrator

Denver, CO

$51.25 - $70.50/hr

Senior Database Administrator and Database Reliability Engineer (DBRE) with 8+ years of experience ... Experienced in database modernization, cloud migrations, Infrastructure as Code (Terraform ...

Cloud Analytic Software Engineer

Aurora, CO · On-site

$61.25 - $79.50/hr

Cloud Analytic Software Engineer LOCATION Aurora, CO 80014 CLEARANCE TS/SCI Full Poly (Please note ... Understanding of SQL and NoSQL databases * Ability to build and deploy CI/CD pipelines DESIRED ...

Cloud platform - GCP * Programming languages - Java, Python, and Kotlin * Data warehouse & databases - BigQuery, Postgres, Scylla/Cassandra * Distributed processing frameworks - Dataflow (Apache Beam ...

Showing results 21-40

Intern Cloud Database Engineer information

What is the difference between Intern Cloud Database Engineer vs Cloud Database Administrator?

AspectIntern Cloud Database EngineerCloud Database Administrator
CredentialsEnrolled in or recent graduate of relevant degree programs, basic certificationsProfessional certifications like AWS Certified Database - Specialty, experience preferred
Work EnvironmentInternship setting, learning-focused, entry-level tasksFull-time or part-time role, operational responsibilities in cloud environments
Employer & IndustryTech companies, startups, cloud service providersOrganizations using cloud databases, IT departments, cloud service providers
Search & Comparison IntentUnderstanding entry-level roles, learning opportunitiesOperational responsibilities, career advancement in cloud database management

The main difference between an Intern Cloud Database Engineer and a Cloud Database Administrator lies in experience, responsibilities, and career stage. Interns are typically students or recent graduates gaining foundational knowledge, while Cloud Database Administrators are more experienced professionals managing cloud database operations. Both roles are essential in cloud data management but serve different purposes within organizations.

What are popular job titles related to Intern Cloud Database Engineer jobs in Colorado? For Intern Cloud Database Engineer jobs in Colorado, the most frequently searched job titles are:
What cities in Colorado are hiring for Intern Cloud Database Engineer jobs? Cities in Colorado with the most Intern Cloud Database Engineer job openings:

Senior/Staff Data Engineer IV

Autonomous Solutions

Longmont, CO • On-site

$124K - $164K/yr

Full-time

Medical, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


Job description

JOB SUMMARY
The Senior/Staff Data Engineer IV designs, builds, and owns the data systems that turn information from ASI's autonomous vehicle platforms, field operations, fleet activity, telemetry, business systems, and third-party sources into reliable, trusted data for the company. This role sits at the intersection of robotics, cloud infrastructure, data engineering, and business operations, helping teams understand fleet performance, vehicle usage, system health, customer activity, and operational trends.
This is a high-ownership, hands-on engineering role for someone who is strong in Python and SQL and comfortable building production data systems that are reliable, observable, scalable, and easy for others to use. The role partners closely with software, autonomy, field operations, product, customer-facing, finance, and leadership teams to create durable data pipelines, models, and tools that support internal reporting, customer-facing products, operational decision-making, and business-critical workflows.
ESSENTIAL DUTIES AND RESPONSIBILITIES
  • Build, maintain, and optimize production data pipelines that ingest, transform, validate, and publish fleet, telemetry, operational, business, and third-party data
  • Design data models that support reporting, analytics, customer-facing products, operational workflows, and business-critical decision-making
  • Own the systems that turn autonomous vehicle activity into trusted usage, performance, and operational data
  • Develop and maintain data pipelines using Python, SQL, orchestration tools, transformation frameworks, and cloud data platforms
  • Optimize existing pipelines for performance, reliability, scalability, and cost efficiency as data volume and business needs grow
  • Improve data quality through automated testing, validation checks, monitoring, alerting, and incident response processes
  • Build observability into data systems so pipeline failures, data-quality issues, latency problems, and schema changes are identified quickly
  • Partner with engineering teams to understand vehicle telemetry, robotics data, system logs, and operational context
  • Partner with fleet operations, product, finance, customer success, and leadership teams to translate business questions into durable data systems
  • Support internal reporting and self-service analytics by creating reliable datasets, documentation, dashboards, and data access patterns
  • Develop systems that support workflows such as fleet performance analysis, utilization tracking, customer reporting, usage-based billing, and operational planning
  • Integrate data from APIs, cloud services, relational databases, robotics systems, business tools, and third-party platforms
  • Create and maintain data documentation, lineage, ownership, quality expectations, and definitions for key business and operational metrics
  • Support data governance, security, access control, and privacy practices for company and customer data
  • Troubleshoot pipeline failures, data inconsistencies, performance bottlenecks, and production data incidents
  • Collaborate with backend, cloud, robotics, product, and operations teams to ensure data systems are aligned with product and platform needs
  • Provide hands-on technical leadership for data architecture, implementation standards, code quality, reliability, and maintainability
  • Review data models, pipeline designs, and code from other engineers and provide constructive technical feedback
  • Evaluate and recommend tools, frameworks, and architectural improvements for the data platform
  • Support the development of scalable data practices that help non-technical users safely and confidently access the data they need

ESSENTIAL EDUCATION, WORK EXPERIENCE, JOB SKILLS
  • Bachelor's degree in Computer Science, Computer Engineering, Data Engineering, Information Systems, Mathematics, Statistics, or a related technical field
  • Typically 5+ years of professional experience in data engineering, software engineering, analytics engineering, or related data-platform work; Staff-level candidates will typically bring deeper architecture ownership and broader technical leadership experience
  • Strong proficiency with Python and SQL
  • Experience building and operating production data pipelines and large-scale data systems
  • Experience with cloud data warehouses such as Snowflake, Redshift, BigQuery, or similar platforms
  • Experience with relational databases such as PostgreSQL, MySQL, SQL Server, or similar systems
  • Experience with orchestration, transformation, or workflow tools such as Airflow, Dagster, dbt, Luigi, or similar frameworks
  • Experience designing data models that support analytics, reporting, operations, product workflows, or financial processes
  • Experience implementing data-quality checks, tests, monitoring, alerting, and observability for production data systems
  • Ability to reason through data correctness across multiple systems, pipelines, schemas, and business workflows
  • Experience troubleshooting production data issues and following problems through to resolution
  • Ability to communicate clearly with both technical and non-technical stakeholders
  • Experience enabling self-service data access through documentation, curated datasets, reporting tools, or data products
  • Strong software engineering fundamentals including version control, code review, testing, deployment practices, and maintainable design
  • Ability to work independently, prioritize effectively, and make pragmatic technical decisions in a fast-moving environment

PREFERRED QUALIFICATIONS
  • Experience working with telemetry, streaming data, event-driven systems, IoT data, robotics data, or data from connected physical machines
  • Experience with geospatial data, time-series data, vehicle data, sensor data, or system log data
  • Experience supporting data-intensive products, customer-facing platforms, fleet-management tools, or operational dashboards
  • Experience with AWS services such as S3, Glue, Lambda, ECS, RDS, Redshift, Kinesis, or similar cloud services
  • Experience with Docker, ECS, Kubernetes, or other containerized deployment environments
  • Experience integrating third-party APIs and external data sources
  • Experience supporting usage-based billing, customer reporting, financial workflows, or business-critical operational systems
  • Experience with BI tools such as Tableau, Power BI, Looker, Sigma, Metabase, or similar tools
  • Experience with Infrastructure as Code, CI/CD pipelines, or cloud deployment practices
  • Experience working with autonomous vehicles, robotics, heavy equipment, industrial systems, or fleet operations

LEADERSHIP ATTRIBUTES
  • Takes ownership of systems end to end and follows problems through to resolution
  • Moves comfortably between architecture, implementation, debugging, documentation, and stakeholder communication
  • Makes pragmatic technical decisions that balance reliability, speed, maintainability, and business value
  • Communicates clearly across engineering, operations, finance, product, and leadership teams
  • Builds systems that make data more trusted, observable, and usable across the company
  • Provides technical guidance without needing direct supervisory authority

BENEFITS
ASI offers a comprehensive benefits package, including:
  • 401k with employer match
  • Generous HSA contribution
  • Employee Stock Options
  • PTO, paid holidays, and flextime
  • ASI covers 90% of employee medical plan costs

EEO Statement
At Autonomous Solutions, Inc. (ASI), we are committed to fostering a diverse, inclusive, and equitable workplace where all employees and applicants have equal opportunities. We prohibit discrimination and harassment of any kind based on race, color, religion, sex, national origin, age, disability, genetic information, veteran status, sexual orientation, gender identity, or any other legally protected characteristic. ASI complies with all applicable federal, state, and local laws regarding nondiscrimination in employment and is dedicated to providing reasonable accommodations for individuals with disabilities throughout the hiring process.
This is a full-time employment opportunity.
Your employment with ASI will be "at will," meaning that either you or ASI may terminate your employment at any time for any lawful reason, with or without cause or advance notice.