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From Home Data Platform Engineer Jobs in Utah (NOW HIRING)

Cloud Platform Engineer

Draper, UT · On-site

$130K - $150K/yr

Experience with Azure data and analytics platforms, including Microsoft Fabric, Synapse, OneLake ... Experience building platform engineering, developer self-service, or cloud automation capabilities.

Senior Platform Engineer - Payrix

Salt Lake City, UT · On-site

$101K - $138K/yr

Help modernize legacy and lower-environment deployment paths by enabling the move from Jenkins ... Build platform capabilities that satisfy PCI-DSS, SOC 2, data protection, and Worldpay landing zone ...

Experience with Azure data and analytics platforms, including Microsoft Fabric, Synapse, OneLake ... Experience building platform engineering, developer self-service, or cloud automation capabilities.

Device Experience Platform Engineer - NexthinkJob Summary The Device Experience Platform Engineer ... Own platform health, data quality, and reliability. Establish standards and protocols. Digital ...

Staff, AI Platform Engineer

Lehi, UT · On-site

$200 - $250/hr

We blend intelligent hardware, real-time sensor data, and AI to transform how people interact with their homes. About This Role We are seeking a Principal AI Platform Engineer to build the shared ...

New

We blend intelligent hardware, real-time sensor data, and AI to transform how people interact with their homes. About This Role We are seeking a Principal AI Platform Engineer to build the shared ...

New

We blend intelligent hardware, real-time sensor data, and AI to transform how people interact with their homes. About This Role We are seeking a Principal AI Platform Engineer to build the shared ...

We blend intelligent hardware, real-time sensor data, and AI to transform how people interact with their homes. About This Role We are seeking a Principal AI Platform Engineer to build the shared ...

Sr. Cloud Platform Engineer

Lehi, UT · On-site

$52.25 - $70/hr

... at home at MX. At MX, we're on a mission to empower the world to be financially strong. We power ... Drive the end-to-end migration of production workloads from on-premise data centers to GCP.

Showing results 21-40

From Home Data Platform Engineer information

What is a from home data platform engineer?

From Home Data Platform Engineers are professionals who design, build, and maintain the infrastructure and tools that allow organizations to collect, store, process, and analyze large volumes of data, all while working remotely. They work with cloud platforms, databases, and data pipelines to ensure data is accessible, reliable, and secure for business needs. Their role often involves collaborating with data scientists, analysts, and other engineers to support data-driven decision-making and optimize data workflows from a home office or remote location.

What are the key skills and qualifications needed to thrive as a from home data platform engineer?

To thrive as a From Home Data Platform Engineer, you need a strong background in computer science, data architecture, and cloud platforms, often supported by a relevant degree and experience with large-scale data systems. Proficiency with technologies like SQL, Python, Spark, Hadoop, and cloud services such as AWS, Azure, or GCP, along with certifications like AWS Certified Data Analytics or Google Professional Data Engineer, is typically required. Strong problem-solving abilities, self-motivation, and effective remote communication skills help you excel in a distributed work environment. These skills ensure reliable, scalable data infrastructure and seamless collaboration, which are critical to supporting business analytics and decision-making remotely.

What are some common challenges faced by a from home data platform engineer, and how can they be addressed?

As a From Home Data Platform Engineer, you may encounter challenges such as managing complex data pipelines remotely, ensuring data security, and maintaining effective communication with cross-functional teams. To address these, it’s important to utilize robust version control systems, follow best practices for data governance, and leverage collaboration tools like Slack or Jira for regular updates and troubleshooting. Additionally, setting up secure remote access and automated monitoring can help maintain the integrity and performance of data platforms while working from home.

What is the difference between From Home Data Platform Engineer vs From Home Data Analyst?

AspectFrom Home Data Platform EngineerFrom Home Data Analyst
Primary RoleDesigning, building, and maintaining data infrastructure and platformsAnalyzing data to generate insights and reports
Skills & CertificationsData engineering, SQL, cloud platforms, programming (Python, Java)Data analysis, SQL, visualization tools, statistical knowledge
Work EnvironmentCollaborates with data engineers, software developers, often in cloud environmentsWorks with business teams, data visualization tools, and reporting platforms
Industry UsageTech, finance, healthcare, where data infrastructure is criticalMarketing, sales, finance, and other sectors focusing on data insights

In summary, From Home Data Platform Engineers focus on building and maintaining the data infrastructure, while From Home Data Analysts interpret data to support business decisions. Both roles require strong SQL skills but differ in technical depth and focus areas.

What are the most commonly searched types of Data Platform Engineer jobs in Utah?

The most popular types of Data Platform Engineer jobs in Utah are:

What cities in Utah are hiring for From Home Data Platform Engineer jobs?

Cities in Utah with the most From Home Data Platform Engineer job openings:

Senior Product Manager, Data Cloud and Connectors

Atlassian

Magna, UT • On-site, Remote

$123K - $163K/yr

Full-time

Posted 23 days ago


Job description

Overview:

Working at Atlassian

Atlassians can choose where they work – whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity.

About DX

DX is the developer intelligence platform. We help engineering leaders understand how work gets done, improve developer experience, and make better decisions about productivity and AI. DX combines self-reported insights from developers with data from the systems where software work happens, then turns those signals into insights teams can act on.

The role

We are looking for a Senior Product Manager to lead DX’s data platform and connector portfolio.

The data platform is the foundation beneath every DX insight. It connects to the tools our customers use, ingests and organizes their data, protects its integrity, and makes it available to the rest of the DX product. You will own the product direction and outcomes for Data Cloud, our connector ecosystem, core data integrity, and the data infrastructure behind our demo environment.

This is a deeply technical product role. You do not need to be an engineer, but you must be able to reason credibly about connectors, APIs, data models, database design, data lakes, reliability, enterprise data requirements, and data privacy/security. You will turn that understanding into a data platform that customers and internal product teams can trust.

Responsibilities:

What you’ll do

  • Set the vision, strategy, roadmap, and measurable outcomes for DX’s Data Cloud and connector ecosystem.

  • Prioritize connector investments using customer demand, market context, strategic leverage, and the needs of downstream DX products.

  • Improve the end-to-end connector experience, including setup, authentication, configuration, data mapping, sync health, and troubleshooting.

  • Define product requirements for data quality, freshness, completeness, reliability, and transparency.

  • Partner closely with Engineering on the evolution of DX’s unified data layer while maintaining a clear boundary between product direction and technical design.

  • Own the product capabilities that keep DX’s demo environment representative, reliable, and useful.

  • Build a deep understanding of enterprise data environments, security constraints, integration patterns, and the teams responsible for them.

  • Shape ambiguous opportunities with lightweight specs, prototypes, and clear written context before the team commits to a solution.

  • Know how the platform is performing across connector adoption, time to value, reliability, and customer satisfaction; investigate problems and drive the right improvements.

  • Partner with customer-facing and go-to-market teams on connector discovery, pilots, launches, documentation, and positioning.

Compensation:

At Atlassian, we strive to design equitable, explainable, and competitive compensation programs. We follow consistent hiring practices and account for each candidate's skills, knowledge, and experience when setting base pay within the range.

Please visit go.atlassian.com/payzones for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter.

This role may also be eligible for benefits, bonuses, commissions, and equity.

Pay Ranges:

In The United States, we have three geographic pay zones. For this role, our current base pay ranges for new hires in each zone are:

Zone A: $168,300 - $219,725

Zone B: $151,470 - $197,753

Zone C: $139,689 - $182,372

Qualifications:

What we’re looking for

  • 5+ years of product management experience, with a track record of independently owning a technical product area.

  • Meaningful experience with data connectors, integrations, ETL/ELT systems, data platforms, or adjacent infrastructure products.

  • Strong working knowledge of APIs, data models, database design, and data lakes or warehouses.

  • Ability to engage deeply with engineers on architecture and tradeoffs while remaining focused on customer problems and product outcomes.

  • Understanding of the reliability, security, scalability, and trust requirements of enterprise data products.

  • Strong customer discovery, synthesis, prioritization, and written communication skills.

  • Comfort operating in ambiguity, moving quickly, and making pragmatic tradeoffs without sacrificing quality or enterprise trust.

Nice to have

  • Experience building self-service connector or integration platforms.

  • Product experience in developer tools, data infrastructure, observability, or enterprise SaaS.

  • Experience serving data engineering, platform engineering, or developer productivity teams.

  • Experience in a fast-growing startup.

  • Firsthand experience using DX as a customer.

How Product works at DX

PMs at DX act as the compass and context engine for their product area. You will own product direction, prioritized problems, and outcomes; your Tech Lead partner will own sequencing, technical scope, and quality. We expect PMs to stay close to customers, synthesize context for the team, sprint ahead on ambiguous work with lightweight specs and mockups, and increase the team’s speed of learning. We default to pragmatic, async written work rather than unnecessary process.

Benefits & Perks

Atlassian offers a wide range of perks and benefits designed to support you, your family and to help you engage with your local community. Our offerings include health and wellbeing resources, paid volunteer days, and so much more. To learn more, visit go.atlassian.com/perksandbenefits.

About Atlassian

At Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together.

We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines.

To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them.

To learn more about our culture and hiring process, visit go.atlassian.com/crh.

In line with local law, identity verification (which may include use of biometric data) is a condition of employment with Atlassian for employment fraud purposes.