p/>Additionally, the candidate will direct a team of engineers that regularly perform engineering analyses, PLS-CADD modeling, structure loading calculations, design structure framing and hardware assemblies, draft plans and specifications, and prepare bill of materials and procurement documents across project planning, engineering, environmental, permitting, and construction management phases. December 5, 2025
For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.
Salt Lake City, Utah30 days ago
Some jobs may require a candidate to be eligible for a government security clearance, state-issued driver's license, or other licenses/certifications, and the inability to obtain and maintain the required clearance, license, or certification may affect an employee's ability to maintain employment. JT4 develops and maintains realistic, integrated test and training environments and prepares our nation's war-fighting aircraft, weapons systems, and aircrews for today's missions and tomorrow's global challenges.
Salt Lake City, UT5 days ago
Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. By clicking “Apply Today” you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers.
Cottonwood Heights, UT4 days ago
This is an exciting opportunity for an experienced automation engineer who thrives in fast-paced Agile environments, enjoys working across the software development lifecycle, and is eager to contribute to modern cloud-native applications, AI-powered solutions, Kubernetes-based deployments, and microservices architectures. In this role, you will collaborate with architects, software engineers, product leaders, and business stakeholders to solve complex technical challenges and deliver scalable, high-quality solutions that drive innovation, efficiency, and business value.
Salt Lake City, UT5 days ago
Must have participated in the release of at least 1 publicly available app to Apple's App store participating from feature inception to launch using automated tooling like Jenkins, artifactory and know how of Apple's development to store workflows. Responsibilities: Using business knowledge to translate the vision for divisional initiatives into business solutions by developing complex or multiple software applications and conducting studies of alternatives.
The position requires translating architectural direction into scalable, high-quality implementations while taking ownership of complex challenges across embedded systems, including device communication, system integration, and field diagnostics. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs.
Cottonwood Heights, UT7 days ago
As part of System One’s consulting organization, you will gain exposure to enterprise-scale platforms, cloud-native architectures, and high-impact transformation programs while working alongside highly skilled technical professionals. This is an exciting opportunity for an experienced engineer who thrives in fast-paced Agile environments and enjoys solving complex security, integration, and application modernization challenges using cutting-edge technologies.
li>Investigate and manage non-conformances (NCRs), root cause analyses, corrective actions (CAPAs), and quality-related issues through effective problem-solving methodologies. Collaborate cross-functionally with Manufacturing, Quality, Receiving Inspection, Supplier Quality, and Operations teams to resolve quality issues and drive continuous improvement.
What Makes You the Hero for This Job: Heavy Software & Systems Engineering Depth: 8+ years of deep data engineering experience operating past the $50M ARR scale, specifically focused on building external-facing data systems and high-throughput infrastructure (not internal reporting or analytics). Advanced AWS Cloud Infrastructure: Expert-level depth across AWS big data workloads, cloud networking (VPC Peering, PrivateLink, Transit Gateway), IAM at scale, Lambda/Step functions, and account-level egress cost optimizations.
p>• Design and implement thorough data architecture strategies • Lead large-scale projects and innovate processes • Maintain operational excellence and client interactions • Develop and document data models and data flow diagrams • Adhere to data governance and security policies • Collaborate with business stakeholders to translate data requirements into technical solutions • Drive project success through strategic advising and problem-solving • Foster a diverse and inclusive team environment. PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.
Salt Lake City, UT30+ days ago
p>VP Area U of U Health - Academics Department 02228 - Data Coordinating Center Location Campus City Salt Lake City, UT Type of Recruitment External Posting Pay Rate Range 99858 to 124278 Close Date 08/20/2026 Priority Review Date (Note - Posting may close at any time) Job Summary. Open Date 05/21/2026 Requisition Number PRN45144B Job Title Data Engineers Working Title Data Engineer III Career Progression Track P00 Track Level P3 - Career FLSA Code Computer Employee Patient Sensitive Job Code?
ul>Certification in Cloud Platforms [e.g., AWS Solutions Architect, AWS Data Engineer, Google Professional Cloud Architect, GCP Data Engineer Microsoft Azure Solutions Architect, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus. PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.
Implementing data integration solutions using AWS Glue, AWS Lambda, Azure Data Factory, Azure Functions, GCP Functions, GCP Dataproc, Dataflow and other relevant services • Designing and managing data warehouses and data lakes, verifying data is organized and accessible • Monitoring and troubleshooting data pipelines, data warehouses and workflows to verify data quality, system reliability, performance and cost management • Implementing IAM roles and policies to manage access and permissions within AWS, Azure, GCP • Use AWS CloudFormation, Azure Resource Manager templates, Terraform for infrastructure as code (IaC) deployments • Use AWS, Azure and GCP DevOps services to build and deploy DevOps pipelines • Implementing data security practices using AWS, Azure, GCP, Snowflake or Databricks • Improving Cloud resources for cost, performance, and scalability • Proficiency in SQL and experience with relational databases • Proficient in programming languages such as Python, Java, or Scala • Familiarity with big data technologies like Hadoop, Spark, or Kafka is a plus • Experience with machine learning and data science workflows is a plus • Knowledge of data governance and data security practices • Demonstrating analytical, problem-solving, and communication skills • Having the ability to work independently and as part of a team in a fast-paced environment • Applying modern, cloud-based technology skills, ability to research emerging trends, analyst publications, and adoption of modern technologies in solution architectures • Collaborating and contributing as a team member: understanding personal and team roles, contributing to a positive working environment by building proven relationships with team members, proactively seeking guidance, clarification and feedback • Prioritizing and handling multiple tasks, researching and analyzing pertinent client, industry and technical matters, utilizing problem-solving skills, and communicating effectively in written and verbal formats to various audiences (including various levels of management and external clients) in a professional business environment • Coaching and collaborating with associates who assist with this work, including providing coaching, feedback and guidance on work performance. • Certification in Cloud Platforms [e.g., AWS Solutions Architect, AWS Data Engineer, Google Professional Cloud Architect, GCP Data Engineer Microsoft Azure Solutions Architect, Azure Data Engineer Associate, or Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus • Designing and implementing thorough data architecture strategies that meet the current and future business needs • Developing and documenting data models, data flow diagrams, and data architecture guidelines • Verifying data architecture is compliant with data governance and data security policies • Collaborating with business stakeholders to understand their data requirements and translate them into technical solutions • Evaluating and recommending new data technologies and tools to enhance data architecture • Building, maintaining, and improving ETL/ELT pipelines for data ingestion, processing, and storage across batch and real-time data processing • Building, maintaining, and improving Data Quality rules leveraging DQ tools and/or other ETL/ELT tools • Developing and deploying scalable data storage solutions using AWS, Azure and GCP services such as S3, Amazon RDS, DynamoDB, Azure Data Lake Storage, Azure Cosmos DB, Azure SQL DB, GCP Cloud Storage etc.
p>What You Bring to Cambia: Preferred Key Experience:
Experienced technical lead with a strong background in building and optimizing data pipelines, excellent SQL skills, and hands‑on expertise with Snowflake, dbt, and modern ELT practices.
The expected target hiring range for the Data Platform Engineer IV is $121K - $143K depending on skills, experience, education, and training; relevant licensure / certifications; performance history; and work location.
Salt Lake City, UT7 days ago
p>PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy. - Preference for at least one of the following fields of study: Computer and Information Science, Computer and Information Science & Accounting, Economics, Economics and Finance, Economics and Finance & Technology, Operations Management/Research, Statistics, Engineering.
Our payment solutions deliver growth for some of the most recognized brands in travel & entertainment, health & beauty, technology, electronics, jewelry, home and specialty apparel through our co-brand and private label credit cards and pay-over-time products providing choice and value to our shared customers. Bread Financial offers medical, prescription drug, dental, vision, and other voluntary benefits (including basic and optional life insurance, supplemental medical plans, and short and long-term disability) to eligible associates (regular full-time associates scheduled to work 30 hours per week or more) and their spouses/domestic partners, and child(ren) under the age of 26.
Salt Lake City, UT8 days ago
p>PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy. - Preference for at least one of the following fields of study: Computer and Information Science, Computer and Information Science & Accounting, Economics, Economics and Finance, Economics and Finance & Technology, Operations Management/Research, Statistics, Engineering.
Summary: The Senior Data Engineer will design, build, and maintain secure, high-performing data platforms that support analytics, data science, and machine learning initiatives at scale. This role plays a critical part in delivering trusted, production-ready data across the business and partners closely with analysts, data scientists, and engineering teams.
p>Summary: The Senior Data Engineer will design, build, and maintain secure, high-performing data platforms that support analytics, data science, and machine learning initiatives at scale. This role plays a critical part in delivering trusted, production-ready data across the business and partners closely with analysts, data scientists, and engineering teams.
p>We are committed to our location flexible work approach, allowing you to choose to work in the nearest office, from your home, or a hybrid of both (subject to location restrictions and roles that are required to be in the office- see the full list of eligible US locations HERE). With our unparalleled collection of more than 65 billion records, over 3.5 million subscribers, and over 27 million people in our growing DNA network, customers can discover their family story and gain a new level of understanding about their lives.
Pleasant Grove, UT30+ days ago
As a Data Engineer III at JPMorganChase within Neovest, you are a seasoned member of an agile team responsible for designing and delivering trusted solutions for data collection, storage, access, and analytics in a secure, stable, and scalable manner. JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P.
Design and maintain structured datasets stored in data lake environments using formats like Apache Iceberg. Collaborate with engineering and analytics teams to deliver clean, reliable datasets for reporting and analytics.
Salt Lake City, UT4 days ago
li>Independently and collaboratively lead client engagement workstreams focused on improvement, optimization, and transformation of processes including implementing leading practice workflows, addressing deficits in quality, and driving operational outcomes. You will support a Data & Analytics Foundry across numerous business product teams (scaled program with ~235 onshore/offshore resources), building reliable pipelines and curated datasets for analytics and downstream consumption.
In this role, you won't just build data workflows-you'll help shape how teams understand their data, adopt new processes, and make more informed decisions. Our dedication extends beyond our business goals to making a positive impact in our communities and upholding Sustainability and Responsibility (S&R) principles at our properties and corporate locations.
p style="line-height:1.2;background-color:#ffffff;margin-top:16px;margin-bottom:5px">What Makes You the Hero for This Job: - Heavy Software & Systems Engineering Depth: 8+ years of deep data engineering experience operating past the $50M ARR scale, specifically focused on building external-facing data systems and high-throughput infrastructure (not internal reporting or analytics).
- Production Integration Portfolio: A documented history of personally owning, debugging, and maintaining the production runtime of critical customer-facing integration systems, with complete comfort navigating deep change management and 4:00 PM incident escalations.
Salt Lake City, UT30+ days ago
Summary: Our partners Enterprise Technology & Operations team is driving a major modernization effort and seeking a highly experienced Staff Data Engineer to lead the end-to-end migration of on-premise data warehouse systems to modern cloud data platforms AWS, GCP, or Azure. • Architect and manage cloud-optimized data infrastructure using Databricks on GCP, including cost-efficient Spark workload strategies, right-sizing, autoscaling, serverless job compute cluster pools, spot-preemptible workers.
Independently and collaboratively lead client engagement workstreams focused on improvement, optimization, and transformation of processes including implementing leading practice workflows, addressing deficits in quality, and driving operational outcomes. Communicate regularly with Engagement Managers (Directors), project team members, and representatives from various functional and / or technical teams, including escalating any matters that require additional attention and consideration from engagement management.
Our dedication extends beyond our business goals to making a positive impact in our communities and upholding Sustainability and Responsibility (S&R) principles at our properties and corporate locations. Following two years of employment at the Company, you will be eligible for twelve weeks of paid parental leave per birth, adoption, or placement of a child if you are the primary caregiver of the child.
We are committed to our location flexible work approach, allowing you to choose to work in the nearest office, from your home, or a hybrid of both (subject to location restrictions and roles that are required to be in the office- see the full list of eligible US locations HERE). With our unparalleled collection of more than 65 billion records, over 3.5 million subscribers, and over 27 million people in our growing DNA network, customers can discover their family story and gain a new level of understanding about their lives.
For over 25 years, we have connected thousands of consultants with meaningful roles through a personal, communication-driven approach, partnering with a diverse client base to build high-performing teams and create lasting impact. The Data Engineer will participate in agile ceremonies, support QA and testing efforts, maintain documentation, and contribute to continuous improvement initiatives across data projects.
Salt Lake, Utah10 days ago
Information TechnologyPlease be advised that Fidelity’s business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others.
Education and Experience:
Bachelor’s degree in Computer Science, Engineering, Information Technology, Information Systems, or a closely related field (or foreign education equivalent) and three (3) years of experience as a Senior Data Engineer (or closely related occupation) architecting, building, deploying, and monitoring real-time and batch pipelines for data engineering in a financial services environment.
ul>Hybrid Data Pipeline Execution: Design and implement robust ETL/ELT pipelines to ingest data from legacy on-prem sources, AWS (S3/RDS), and Azure (Blob/SQL), centralizing it for consumption in Snowflake and AI services. Snowflake Power-User Execution: Act as the technical lead for our Snowflake data warehouse, implementing sophisticated data modeling, Snowpipe automation, and compute optimization to support high-concurrency AI workloads.
By joining Bridge Property Management, you'll have the opportunity to learn from some of the best in the business while gaining hands-on experience across a wide range of property types, including multi-family, office, industrial, golf courses, resorts, and single-family communities. Here are some reasons why a career at Bridge Property Management could be the perfect next step for you: A Proven Track Record of Success: You'll be joining a company with a history of excellence, having consistently delivered superior results for our clients in diverse markets.
We are committed to our location flexible work approach, allowing you to choose to work in the nearest office, from your home, or a hybrid of both (subject to location restrictions and roles that are required to be in the office- see the full list of eligible US locations HERE). With our unparalleled collection of more than 65 billion records, over 3.5 million subscribers, and over 27 million people in our growing DNA network, customers can discover their family story and gain a new level of understanding about their lives.
PDS is looking for a Data Engineer: Requires a Bachelor's in Computer Science, Computer Engineering or related field and some experience ETL, SQL, UNIX/Linux, Big Data distributed systems, various programming languages like Java and Python, orchestration tools and processes or other directly related experience. Basic knowledge of search technology, building real-time data pipelines and various programming languages like Java and Python.
Salt Lake City, UT3 days ago
This role builds reliable data pipelines, implements dimensional data models, and partners with business stakeholders to deliver trusted datasets and analytics capabilities. This is an onsite Salt Lake City, UT role open only to candidates currently living in Utah with relevant data engineering / ELT/ETL Data Modeling experience.
Riverdale, Utah4 days ago
Overview: This position is responsible for aiding operational areas of the organization leveraging both internal and external data assets to achieve business insights, gain deeper understanding of member needs, and enhance tactical and strategic decision making. This includes ETL platforms (Airflow, SSIS) , data quality platforms Great Expectations), distributed data processing systems (Hopsworks, Polar), and streaming platforms ( Kafka , RabbitMQ.).
American Fork, UT19 days ago
p>LVT is redefining how businesses operate in the physical world, moving beyond traditional security solutions to deliver AI-driven, actionable intelligence that makes sites smarter, safer, and more secure. Since pioneering our first mobile, solar-powered units, our commitment to scrappy, hands-on innovation has made us an established leader and one of the fastest-growing companies in intelligent site technology.
p>5+ years of applicable work experience Proficiency in Python, specifically with ETL pipelines Strong proficiency in SQL and experience in developing complex queries Familiarity with pySpark, DBT, or other similar frameworks Experience deploying data pipelines in a cloud environment (Azure, AWS, GCP) Understanding of data warehousing concepts, dimensional modeling, and building data marts Excellent communication and interpersonal skills, with the ability to collaborate effectively with data scientists, analysts, and product owners. Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility.
p>Serve as a versatile technical resource capable of stepping into the Data Analyst capacity when necessary-performing deep-dive quantitative analysis and building sophisticated visualizations to support executive decision-making. By implementing software engineering best practices and scalable solutions, this role is critical in empowering the CEO, executive team, managers, and individual contributors with the robust and trustworthy intelligence needed to scale and innovate across our marketplace.
p>Preferred Key Experience: Technically proficient data engineer with a strong background in Snowflake platform capabilities, excellent SQL skills, and hands-on experience with data governance frameworks, access and provisioning design, and modern data management practices. Our environment is built on Snowflake, and this role will be central to enabling capabilities such as automated tagging and classification, role-level access controls, data metric functions, Horizon catalog, and data lineage - all in service of making our members' health journeys easier.
Adobe's industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity. Collaborate with enterprise customer's engineering team to identify data sources, profile and quantify quality of data sources, develop tools to prepare data and build data pipelines for integrating customer data sources and third party data sources with Adobe solutions.