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5 results for Data Scientist in Salt Lake City, UT

Sr Data Engineer

Salt Lake City, UT
onsite
Permanent / Full Time
140000 - 160000 USD / Yearly
We are looking for a Data Engineer to help design and enhance data solutions that support reliable reporting and analytics in Salt Lake City, Utah. This role focuses on building scalable data pipelines, shaping well-structured warehouse models, and improving the quality and usability of enterprise data assets. The ideal candidate brings strong experience with SQL, Python, AWS technologies, and dimensional modeling principles grounded in the Kimball methodology. Responsibilities: • Build and maintain data pipelines that ingest, transform, and prepare information for downstream analytics and business use. • Design warehouse structures using Kimball-based dimensional modeling practices to support clear, consistent reporting. • Develop and optimize SQL- and Python-driven data workflows with an emphasis on scalability, performance, and maintainability. • Partner with analysts, engineers, and business stakeholders to translate data needs into practical engineering solutions. • Create and manage data transformation logic using dbt to improve testing, documentation, and deployment consistency. • Support cloud-based data platforms in an AWS environment and contribute to ongoing improvements in data architecture. • Monitor data quality and troubleshoot pipeline issues to ensure dependable delivery of curated datasets. • Contribute to modern data engineering practices, including tools such as PySpark when needed for larger-scale processing.
2026-07-17T00:00:00Z

Database Developer

Lehi, UT
remote
Permanent / Full Time
160000 - 180000 USD / Yearly
We are looking for a Database Engineer to support the design, migration, and optimization of cloud-based data platforms. This role focuses on building reliable database solutions for large and complex datasets while enabling efficient delivery of information to applications, analytics tools, and other downstream consumers. The ideal candidate brings strong hands-on experience with cloud database technologies, Python development, and modern data engineering practices, along with the ability to contribute practical architectural insight. Responsibilities:• Lead the migration of database workloads to cloud-based environments, with particular emphasis on DynamoDB and DocumentDB implementations.• Design, build, and maintain scalable data pipelines that process high-volume datasets and deliver dependable data to downstream services and presentation layers.• Develop and optimize Python-based solutions to support database operations, automation, and data movement across distributed systems.• Create and maintain database structures and access patterns for NoSQL and in-memory platforms, including Redis and related AI or vector-driven data use cases.• Partner with engineering teams to define practical database architecture decisions and translate technical requirements into effective cloud implementations.• Support search and retrieval capabilities by working with Solr and other data access technologies used across the environment.• Implement scripting and automation tasks using shell scripting where needed to streamline deployment, maintenance, and operational workflows.• Evaluate and integrate technologies such as ElastiCache, MemoryDB, MongoDB, and vector databases to meet performance, scalability, and application need.
2026-06-29T00:00:00Z

Business Analyst

Salt Lake City, UT
onsite
Permanent / Full Time
85000 - 100000 USD / Yearly
We are looking for a Business Analyst to turn operational, financial, and marketing information into practical insights that support smarter decisions and stronger business results in Salt Lake City, Utah. This role will partner with leadership to track performance, surface trends, and recommend improvements that strengthen efficiency, visibility, and profitability. The ideal candidate brings a data-driven mindset, clear communication skills, and the ability to translate complex findings into meaningful business actions. Responsibilities: • Analyze data from business, financial, and marketing sources to identify patterns, risks, and opportunities that influence performance. • Create and maintain dashboards, scorecards, and recurring reports that give leaders a clear view of key performance indicators. • Review revenue, cost, margin, and profitability results to highlight trends and support better financial decision-making. • Examine workflows and operating practices to uncover inefficiencies and propose process improvements that increase productivity. • Assess campaign and customer performance by tracking acquisition costs, conversion activity, and return on marketing investment. • Investigate performance variances, determine underlying causes, and present actionable recommendations to address gaps. • Work closely with managers and stakeholders to define benchmarks, align on goals, and support planning priorities. • Deliver findings to leadership through concise summaries, visual reporting, and business-focused recommendations. • Contribute to forecasting, budgeting, and strategic planning efforts with accurate analysis and dependable reporting. • Maintain data quality across reporting systems by monitoring consistency, accuracy, and integrity of business information.
2026-07-16T00:00:00Z

Cloud Engineer

Lehi, UT
remote
Permanent / Full Time
160000 - 180000 USD / Yearly
We are looking for an experienced Cloud Engineer to lead the design, reliability, and ongoing improvement of cloud infrastructure. This role focuses on building secure, resilient, and high-performing AWS environments while partnering closely with engineering and operations teams to support critical systems. The ideal candidate brings strong hands-on expertise in infrastructure automation, observability, and incident management, along with the ability to drive operational excellence across a modern cloud platform. Responsibilities:• Manage and enhance AWS core infrastructure components, including VPCs, Route 53, CDNs, load balancers, and EC2 services, to support secure and highly available operations.• Build and refine multi-zone disaster recovery and resiliency solutions, and validate recovery readiness through recurring testing and review.• Respond to production issues with cross-functional teams by diagnosing failures, identifying root causes, and implementing long-term corrective measures.• Develop and maintain observability practices using tools such as CloudWatch and Datadog, including logging, metrics, dashboards, and alerting.• Evaluate cloud environments for performance, scalability, and cost improvements, and recommend changes that strengthen operational efficiency.• Create and support infrastructure automation using Terraform, CloudFormation, or AWS CDK to standardize provisioning and configuration management.• Improve deployment workflows by contributing to CI/CD pipelines and automation processes using tools such as GitHub Actions, Harness, or similar platforms.• Maintain clear technical documentation for infrastructure designs, configurations, procedures, and support practices.• Partner with developers, system administrators, and security stakeholders to align cloud architecture with business and technical requirements.
2026-06-29T00:00:00Z

Google Cloud Engineer

Salt Lake City, UT
remote
Temporary / Contract
61.75 - 70 USD / Hourly
We are looking for a Google Cloud Engineer to support secure, scalable, and reliable cloud environments for teams building advanced technology solutions in Salt Lake City, Utah. This is a Contract position focused on strengthening production infrastructure, improving automation, and enabling high-performing engineering and data workflows on Google Cloud. The ideal candidate brings deep experience with a systems administration or applications background compared to only DevOps experience. Responsibilities:• Architect, deploy, and support production services on Google Cloud with an emphasis on resilience, security, performance, and cost efficiency.• Build and maintain infrastructure components across compute, storage, databases, messaging, serverless platforms, and Kubernetes-based environments.• Develop and enhance CI/CD pipelines and automation workflows to provision, validate, and release infrastructure and application changes safely.• Implement Infrastructure as Code using Terraform and establish guardrails that reduce risk, improve consistency, and support controlled change management.• Strengthen cloud foundations by defining and applying standards for identity access, private networking, firewall controls, secrets management, and data protection.• Improve platform observability through monitoring, logging, tracing, and cost reporting, and use insights to optimize service health and operational visibility.• Respond to incidents, investigate root causes, refine alerting and service objectives, and improve backup, recovery, and capacity planning practices.• Partner with security, platform, data, and application teams to review architecture decisions, operational readiness, and risk before production launches.• Guide engineering teams on Google Cloud best practices, sustainable operational processes, and effective use of automation across the delivery lifecycle.
2026-07-17T00:00:00Z