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Remote Gcp Data Engineer Jobs in Colorado (NOW HIRING)

Senior Manager, Data Security

Denver, CO · On-site +1

$117K - $161K/yr

This leader will own the data security engineering pillar, with accountability for data ... This role is remote-friendly within North America. For those who prefer in-office or hybrid work ...

... Data Engineering / Data Architecture * Strong expertise in Databricks, PySpark, and Spark ecosystem * Hands-on experience with cloud platforms (Azure, AWS, or GCP) * Experience with data ...

Science, Technology, Engineering, Mathematics and/or other quantitative analytical degree a plus ... Data science experience * Retail experience * SQL Coding, Microsoft Access, Macro building ...

The Sales Engineer - Data Centers works under the guidance of the Senior Director of Sales - Data ... This position will be remote/hybrid, and the ideal candidate will need to live near a major airport ...

... remote. Why This Role Exists We operate a large-scale, multi-tenant SaaS platform supporting ... These systems rely on scalable feature engineering, real-time data pipelines, model infrastructure ...

Senior Manager, Data Engineering

Denver, CO · On-site +1

$140K - $155K/yr

The role is fully remote. Applicants in different states are encouraged to apply. Key Responsibilities Leadership & Team Management - Lead, mentor, and develop a team of data engineers and BI ...

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Remote Gcp Data Engineer information

What are the key skills and qualifications needed to thrive as a Remote GCP Data Engineer, and why are they important?

To thrive as a Remote GCP Data Engineer, you need expertise in data engineering concepts, SQL, Python, and a solid understanding of cloud computing, especially Google Cloud Platform (GCP) services like BigQuery and Dataflow, often supported by a relevant degree or GCP certification. Familiarity with tools such as Cloud Storage, Pub/Sub, Dataform, and workflow orchestration systems is typically required. Strong problem-solving, communication, and self-management skills set top candidates apart in remote environments. These abilities ensure efficient data processing, seamless collaboration, and successful delivery of scalable cloud-based solutions.

How does a Remote GCP Data Engineer typically collaborate with cross-functional teams when working offsite?

As a Remote GCP Data Engineer, you will frequently collaborate with data scientists, analysts, and product teams using virtual tools such as Slack, Jira, and Google Meet. Regular stand-ups and sprint planning meetings ensure alignment on project goals and timelines. Clear documentation and version control (often via Git) are crucial for smooth handoffs and code reviews, while cloud-based development environments streamline collaborative problem-solving. Successful remote collaboration relies on proactive communication and a willingness to adapt to various team workflows.

What is the difference between Remote Gcp Data Engineer vs Remote Data Analyst?

AspectRemote Gcp Data EngineerRemote Data Analyst
Required CredentialsGCP certifications, SQL, Python, data engineering skillsData analysis certifications, SQL, Excel, visualization tools
Work EnvironmentCloud platforms, data pipelines, infrastructure managementData interpretation, reporting, visualization
Employer & Industry UsageTech, finance, healthcare companies using cloud data solutionsMarketing, business intelligence, research firms

Remote Gcp Data Engineers focus on building and maintaining data pipelines on Google Cloud Platform, requiring cloud and engineering skills. Remote Data Analysts interpret data and create reports, often using visualization tools. While both roles require SQL and data handling, Gcp Data Engineers are more technical and infrastructure-oriented, whereas Data Analysts focus on insights and presentation.

What is a Remote GCP Data Engineer?

A Remote GCP Data Engineer is a technology professional who designs, builds, and manages data solutions using Google Cloud Platform (GCP), working from a remote location rather than an office. Their responsibilities include developing data pipelines, optimizing data storage, and ensuring efficient data processing on GCP services like BigQuery, Dataflow, and Cloud Storage. They collaborate with data scientists, analysts, and other engineers to support an organization's data needs while leveraging the flexibility of remote work.
What are the most commonly searched types of Gcp Data Engineer jobs in Colorado? The most popular types of Gcp Data Engineer jobs in Colorado are:
What are popular job titles related to Remote Gcp Data Engineer jobs in Colorado? For Remote Gcp Data Engineer jobs in Colorado, the most frequently searched job titles are:
What cities in Colorado are hiring for Remote Gcp Data Engineer jobs? Cities in Colorado with the most Remote Gcp Data Engineer job openings:
Senior Software Engineer / Data Engineer with Python

Senior Software Engineer / Data Engineer with Python

Zayo Group LLC

Boulder, CO • On-site, Remote

$98K - $136K/yr

Full-time

Re-posted 18 days ago


Job description

Company Description

Zayo provides mission-critical bandwidth to the world’s most impactful companies, fueling the innovations that are transforming our society. Zayo’s 141,000-mile network in North America and Europe includes extensive metro connectivity to thousands of buildings and data centers. Zayo’s communications infrastructure solutions include dark fiber, private data networks, wavelengths, Ethernet, and dedicated Internet access. Zayo serves wireless and wireline carriers, media, tech, content, finance, healthcare and other large enterprises.

Do you dream of IP addresses and want to build tools for the networks that power the future? Are you passionate about automating repetitive tasks for users and delighting them with easy buttons? If so, then we want you on our team!

Zayo is seeking a talented Senior Software Engineer, Inventory to join our growing Network Automation team. In this role, you'll be a key player in building, scaling, and automating the next generation of our network tooling infrastructure.

Responsibilities:

  • Design, build, and maintain innovative tools and solutions to meet evolving business needs. This could be something as simple as UI data validation rule, or as complex as ML tools for extrapolating missing data.

  • Leverage open source automation tools and scripting languages in commercial tools (e.g., Python, Ansible, ServiceNow, Salesforce, etc) to validate human entered data and increase the overall amount of machine to machine communications and reduce human entered data.

  • Contribute to solving complex technical and process problems, such extracting variable data from pdfs.

  • Refactor and consolidate existing tools to be a cohesive suite of tools that improve ease of use and reduce swivel-chairing to get the job done.

  • Collaborate with cross-functional teams (DevOps, Security, SRE) to ensure security and optimal application performance.

  • Own new features through the project lifecycle, working collaboratively with a team of software developers to ensure timely delivery of high-quality software solutions.

  • Stay up-to-date on emerging network technologies and best practices, becoming the beacon for best practices and efficient processes through the organization.

Qualifications:

  • Bachelor's degree in Computer Science, Networking, or a related field (or equivalent experience.)

  • Minimum of seven (7) years of experience in software development with a variety of languages such as Python, Javascript, SQL, and GraphQL.

  • Experience working with various databases such as Postgres, MySQL, MongoDB, Oracle, and Neo4j with large and complex data sets.

  • Experience with network automation tools and scripting languages (Python, React, Javascript.)

  • Extensive experience in both building and integrating with RESTful APIs.

  • Experience with both the Salesforce and ServiceNow APIs.

  • Experience with async processing and message bus communications (RabbitMQ, Kafka.)

  • Strong abilities on the Linux command line, working with various flavors of Linux and Docker/Kubernetes.

  • Strong understanding of applied statistics and the ability to code systems that identify outlier behavior in large systems.

  • Previous experience delivering, maintaining and promoting a production software product.

  • Excellent communication, collaboration skills, and experience using a variety of remote collaboration tools including Jira, Confluence, Google Suite, Zoom, etc.

  • Experience using Git for code management, review and deployment.

  • A passion for tackling complex problems and combining technical and process solutions.

Preferred Experience:

  • Experience using common design patterns and ML clustering and ensemble methods to predict best values for missing data.

  • Understanding of network protocols (TCP/IP, BGP, OSPF, etc.) and network services (Internet, transport, etc.)

  • Experience extracting data from variable and complex data sources like pdf, shape files, and old flat files.

Estimated Base Salary Range: $98,500 - $136,900 USD/annually.

#LI-NP1

The base pay range shown is a guideline and reasonable estimate for this role. It takes into account the wide variety of factors that are considered in making compensation decisions. Actual compensation offered may vary from the posted range based upon geographic location, work experience, skill level, certifications, and other business and organizational needs. Non- sales roles may be eligible to participate in a discretionary annual incentive plan. Sales roles may be eligible to participate in a sales incentive plan.

Additionally, this position may be eligible for certain benefits, such as health insurance, life insurance, disability retirement plans, paid time off.

The posting will be active for a minimum of 3 days. The active posting will continue to extend by 3 days until the position is filled.

Benefits, Rewards & Wellness

  • Excellent Health, Dental & Vision Insurance

  • Retirement 401(k) Savings Plan

  • Generous paid time off policy including paid parental leave

Zayo provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, provincial or local laws.

This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.