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All Domain Anomaly Resolution Jobs in Utah (NOW HIRING)

Define, build, validate and maintain domain-specific data product assets and data pipelines ... Perform data analysis required to troubleshoot data related issues and assist in the resolution of ...

Client Support Specialist

Provo, UT · On-site

$17 - $23/hr

Develop and effectively apply learned technical and domain expertise to assist customers in the ... Strive for first-call resolution, balancing completeness of resolution and quality of service while ...

Be Seen First

... upon resolution of all customer-initiated tickets. • Network/Service Restoration: o Restore ... domain within O&M • Demonstrate extensive proficiency in specialized functions within the DISN ...

Be Seen First

... upon resolution of all customer-initiated tickets. • Network/Service Restoration: o Restore ... domain within O&M • Demonstrate extensive proficiency in specialized functions within the DISN ...

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All Domain Anomaly Resolution information

What is the difference between All Domain Anomaly Resolution vs Network Security Analyst?

AspectAll Domain Anomaly ResolutionNetwork Security Analyst
Required CredentialsCertifications like CISSP, CEH, or network-specific trainingCertifications such as CompTIA Security+, CISSP, or Cisco CCNA Security
Work EnvironmentFocuses on monitoring and resolving anomalies across multiple domains and systemsPrimarily monitors and protects network infrastructure and security
Employer & Industry UsageUsed in cybersecurity, IT operations, and incident response teamsCommon in cybersecurity, IT departments, and enterprise networks

All Domain Anomaly Resolution specialists focus on identifying and resolving irregularities across various digital domains, ensuring system integrity. Network Security Analysts primarily protect network infrastructure from threats. While both roles involve cybersecurity skills and certifications, All Domain Anomaly Resolution has a broader scope across multiple systems, whereas Network Security Analysts concentrate on network-specific security measures.

What are the key skills and qualifications needed to thrive as an All Domain Anomaly Resolution (ADAR) analyst, and why are they important?

To thrive as an All Domain Anomaly Resolution analyst, you need expertise in data analysis, intelligence gathering, and cross-domain situational assessment, typically supported by a background in military, intelligence, or related technical fields. Familiarity with analytical software, classified information management systems, and intelligence reporting platforms is essential. Strong critical thinking, attention to detail, and effective communication skills enable analysts to interpret ambiguous data and collaborate across agencies. These competencies are crucial for accurately identifying, investigating, and resolving potential threats or anomalies across multiple operational domains.

What are the typical challenges faced by professionals working in All Domain Anomaly Resolution, and how can they be addressed?

Professionals in All Domain Anomaly Resolution often encounter challenges such as rapidly evolving threats, large volumes of complex data from multiple sources, and the need for timely, coordinated responses across different domains (air, space, cyber, etc.). Success in this role often depends on strong analytical skills, the ability to work collaboratively with multidisciplinary teams, and continuous learning to stay current on emerging technologies and tactics. Developing effective communication channels and leveraging advanced data analysis tools can help address these challenges and improve response times.

What is All Domain Anomaly Resolution?

All Domain Anomaly Resolution (ADAR) refers to a multidisciplinary approach used by organizations, particularly within the U.S. Department of Defense and intelligence community, to identify, analyze, and resolve unexplained phenomena or anomalies that occur across multiple operational domains such as air, space, land, sea, and cyberspace. The goal is to enhance national security by understanding the nature and origin of these anomalies, which can include unidentified aerial phenomena (UAPs) or unexplainable technological activities. ADAR programs often coordinate between various agencies to gather data, investigate incidents, and recommend policy or procedural changes based on their findings.
What are popular job titles related to All Domain Anomaly Resolution jobs in Utah? For All Domain Anomaly Resolution jobs in Utah, the most frequently searched job titles are:
What job categories do people searching All Domain Anomaly Resolution jobs in Utah look for? The top searched job categories for All Domain Anomaly Resolution jobs in Utah are:
What cities in Utah are hiring for All Domain Anomaly Resolution jobs? Cities in Utah with the most All Domain Anomaly Resolution job openings:
Infographic showing various All Domain Anomaly Resolution job openings in Utah as of June 2026, with employment types broken down into 1% As Needed, 95% Full Time, and 4% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution.
Data Engineer IV - AI & Data Products

Data Engineer IV - AI & Data Products

Upbound

Draper, UT

$107K - $128K/yr

Other

Medical, Dental, Vision, Retirement

Posted 7 days ago


Job description

Data Engineer IV - AI & Data Products

(Draper UT, In-Office)

Upbound Group, Inc. (NASDAQ: UPBD) is a technology and data-driven leader in accessible and inclusive financial solutions that address the evolving needs and aspirations of underserved customers. The Company's customer-facing operating units include industry-leading brands such as Acima, Brigit, and Rent-A-Center that facilitate consumer transactions across a wide range of store-based and digital channels, including over 2,300 company branded retail units across the United States, Mexico, and Puerto Rico. Upbound Group, Inc. is headquartered in Plano, Texas.

KEY RESPONSIBILITIES

Data Products & Data Integration

  • Define, build, validate and maintain domain-specific data product assets and data pipelines.

  • Collaborate with analytics and business partners to define and build semantic layers/models to support various personas - Report consumers, Self-Service and Advanced SQL Analysts, Data Scientists and AI use cases/agents.

  • Create and maintain data domain assets (pipelines/ETLs, sematic models and other assets) using Python, SQL, and other approved tools.

  • Build high quality solutions and assets aligned to defined architectural guidelines, data integration patterns, frameworks, and tools.

  • Build solutions aligned to security, risk, and compliance guidelines.

  • Support analysts and product teams with data products and assigned data domain expertise.

  • Assemble large complex data sets that meet functional/non-functional business requirements.

  • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery and re-designing infrastructure for greater scalability.

  • Perform data analysis required to troubleshoot data related issues and assist in the resolution of data issues.

Data Governance & Quality

  • Manage business glossary in collaboration with business teams and build/maintain technical metadata for assigned data domains.

  • Define data quality rules and controls for assigned data domains and data assets (consumption, gold, silver, bronze layer tables).

  • Validate domain datasets for accuracy and completeness. Ensure domain data is of high quality and consumable by reporting, analytics, data science, and AI use cases.

Stakeholder Collaboration

  • Collaborate with business leaders, Executives, Data Scientists, BI Analytics, Product, Engineering, and other operational departments to ensure successful delivery of data solutions and data assets (consumption, gold, silver, bronze layer tables)

  • Translate business requirements into Data Products and data assets (consumption, gold, silver, bronze layer tables & pipelines) build specifications.

SKILLS, EXPERIENCES & QUALIFICATIONS

  • 8+ years of experience in Data Engineering roles

  • 2+ years of warehouse data modeling and pipeline design experience

  • Experience with data warehousing: Snowflake or similar systems

  • Strong Python experience

  • Strong SQL experience

  • Strong REST API experience

  • Experience using Linux.

  • Ability and motivation to learn new technologies quickly with minimal support and guidance.

  • Strong communication skills

  • Experience supporting and working with cross-functional teams in a dynamic environment.

Additional Experience:

  • AI-Driven Data Engineering Mindset - Hands-on experience using AI-assisted development tools (e.g., Copilot, generative AI) to accelerate pipeline design, code generation, and troubleshooting.

  • Intelligent Pipeline Development - Ability to design pipelines that incorporate AI for data transformation, anomaly detection, data classification, and schema evolution.

  • AI-Enabled Data Quality & Observability - Experience using AI/ML techniques for automated data quality checks, root cause analysis, and proactive monitoring.

Metadata & Semantic Layer Enrichment - Ability to use AI to auto-generate metadata, data documentation, semantic mappings, and business glossary entries

COMPENSATION/BENEFITS

  • Full health benefits-Medical/Dental/Vision

  • 401(k) match, 6%/3%

  • DTO (discretionary time off)

  • Health savings account (HSA) with company contribution

  • College tuition reimbursement program (STEAM degrees)

  • Unlimited use of Linkedin Learning

  • Free car charging

  • Onsite gym and showers

SPONSORSHIP

Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment visaat this time.

Upbound is an equal opportunity employer committed to ensuring that all employment decisions are made on a non-discriminatory basis, and without regard to actual or perceived race.