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, UT2 days ago
This includes proposal support, requirements analysis and management, task planning, technical documentation, design oversight participation, design synthesis in a multi-functional engineering environment, build and test support, risk management input, integration and verification test support, system deployment support, and in-house technical support during the operational lifecycle of the system. Specialist Systems Engineer will apply systems engineering principles and methodologies to drive technical decision-making, facilitate stakeholder collaboration, and ensure successful delivery of engineering solutions throughout all phases of the system development lifecycle.
Salt Lake City, UT9 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.
Salt Lake City, UT2 days ago
Your expertise in identifying alternative solutions, coordinating with suppliers, and ensuring continuity of supply will be crucial to maintaining the performance, reliability, and availability of our systems. With customers’ mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security.
Salt Lake City, UT2 days ago
ul>Perform comprehensive RAMS analyses for both hardware and software, including Reliability and Maintainability Predictions, Reliability Modeling, Failure Modes, Effects & Criticality Analyses (FMECA), Fault Tree Analysis (FTA), and a variety of Safety Analyses and other RAMS-related activities. As a subject matter expert, you will provide guidance and mentorship to less experienced RAMS personnel, and you will be expected to maintain excellent communication and presentation skills for the delivery of technical data.
Salt Lake City, UT9 days ago
li> 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.
Salt Lake City, UT2 days ago
As a Rail Systems Engineer for the Utah Transit Authority, you will: Coordinate system engineering activities with respect to all rail systems that include signals, stray current, traction power, Positive Train Control (PTC), and overhead catenary systems. The Rail Systems Engineer role at the Utah Transit Authority offers an exciting opportunity to work with cutting-edge rail technologies like Positive Train Control and overhead catenary systems, overseeing diverse responsibilities from system design to implementation.
Your work will apply practical engineering knowledge across a broad range of established system engineering principles, concepts, and methods, with a strong emphasis on electrical engineering while ensuring Operational Safety, Suitability, and Effectiveness (OSS&E) is integrated into all activities. In this role, you will provide Electrical Engineering support for programs and projects, ensuring the successful research, design, development, installation, testing, and operation of systems under the Integrated Product Team (IPT).
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.
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. You also be responsible for developing and documenting data models, data flow diagrams, and data architecture guidelines, maintaining compliance with data governance and data security policies, and collaborating with business stakeholders to translate their data requirements into technical solutions.
Salt Lake, Utah14 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>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.
Salt Lake City, UT11 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.
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. 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.
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.
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.
Salt Lake City, UT12 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.
Salt Lake City, UT8 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.
Salt Lake City, UT26 days ago
Armanino LLP is a licensed independent CPA firm that provides attest services, and Armanino Advisory LLC and its subsidiary entities provide tax, advisory, and business consulting services. Any referrals, resumes, or candidates submitted to Armanino or any employee or owner of Armanino without a pre-existing agreement signed by both parties covering the submission will be considered the property of Armanino and not subject to any fees or charges.
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.
p>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.).
Salt Lake City, UT7 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.
This role focuses on building scalable data pipelines, integrating diverse data sources, and ensuring reliable data delivery across the organization. This position partners closely with analysts and data scientists to transform raw data into actionable insights and production-ready data products that drive business value.
Salt Lake City, UT30+ days ago
What You'll Do: Technical Leadership & Strategy: As a technical leader, you will be at the heart of SoFi's data platform providing primary technical authority and strategic guidance to the data engineering group. The ideal candidate will be a mentor, technical leader and a team player who is hands-on and comfortable driving solutions from initial architecture to implementation and adoption with a strong sense of ownership and drive for delivery.
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.
Build Data Models & Backend Services: Develop resilient Python services and DBT models that power data delivery and self-service analytics, including Model Context Protocol (MCP) servers that expose curated data and tooling to downstream and AI consumers, and integrate with external REST/SOAP APIs and third-party data sources. Architect Data Pipelines: Design, build, and optimize large-scale distributed batch and streaming pipelines (using Apache Airflow, Apache Beam/Dataflow, and DBTon BigQuery) to ingest, model, and transform high-volume healthcare data into clean, well-tested, query-ready datasets and search indices.
li>Managing development teams in building healthcare AI and GenAI solutions, including analytical modeling, prompt engineering, Python-based development, testing, communication of results to clinical and operational stakeholders, front-end and back-end integration, and iterative use case development with health system clients;
Documenting and analyzing healthcare business processes - across clinical operations, and population health programs - to identify AI and GenAI opportunities, gather requirements, define initial hypotheses, and develop solution approaches tailored to health system workflows;
Collaborating with health system client teams - including clinical informatics, population health, and IT leaders - to understand their business and clinical problems and select the appropriate models, LLMs, and approaches for AI/GenAI use cases;
Designing and solutioning AI/GenAI architectures for health system clients, including RAG-based clinical knowledge retrieval systems, agentic AI workflows for care management and revenue cycle automation, and custom LLM application builds with appropriate PHI safeguards;
Managing teams to process healthcare unstructured and structured data - including clinical notes, discharge summaries, claims records, EHR data, and ADT feeds - for use as LLM context, including embedding of large clinical text corpora, generative SQL query development, and building connectors to EHR back-end databases;
Managing daily operations of a global healthcare data science team on client engagements, reviewing developed models, providing feedback, and assisting in analysis of clinical and operational outcomes;
Directing data engineers and other data scientists to deliver efficient, HIPAA-compliant solutions that meet health system client requirements for clinical, financial, and operational AI use cases;
Leading and contributing to development of proof of concepts, pilots, and production use cases for health system clients - spanning clinical decision support, prior authorization automation, patient risk scoring, workforce optimization, and throughput modeling - while working in cross-functional teams;
Facilitating and conducting executive-level presentations to health system leadership showcasing GenAI and ML solution capabilities, use case development progress, model performance, and recommended next steps;
Structuring, writing, communicating, and facilitating client presentations that translate complex AI and ML concepts into clear clinical and business value narratives for health system audiences; and,
Managing associates and senior associates through coaching, providing feedback, and guiding work performance, with an emphasis on developing healthcare domain knowledge alongside technical AI and ML capabilities. You will architect and build production-grade RAG pipelines, MCP connections, agentic AI workflows, and MLOps frameworks, managing daily operations across global delivery teams while engaging health system leaders at the executive level to ensure measurable clinical and operational impact.
Build Data Platforms: Independently design and maintain internal React (TypeScript) interfaces and Python backend services that automate data ingestion and discovery, reducing lead times for application teams from weeks to minutes. As a Staff Data Engineer, you will: Architect Petabyte Pipelines: Engineer scalable, reliable, and performant data pipelines to assemble large and intricate datasets using SQL, DBT, and Snowflake, ensuring high data availability and integrity.
Work At Home, UT22 days ago
Managing and designing ETL system to ingest and transform data for purposes of analysis and reporting; ensures monitoring, alerting, and high availability of the system to all data consumers both internal and external. Confidence and excitement around designing and improving ETL systems with associated methodology and approach required; experience building ETL systems a plus.
Salt Lake City, UT30+ days ago
li>Work closely with architects, solution leads, data owners, Data Scientists and key stakeholders to facilitate and coordinate the data platform backlog grooming process, triaging new feature requests in preparation for future project activities. 2 years of experience in Experience working with large-scale data processing and storage using Azure Data Factory, Integration Runtime, Data Lake, Databricks, Spark, Azure ML, and Cosmos DB.
Circle's platform includes the world's largest regulated stablecoin network anchored by USDC, Circle Payments Network for global money movement, and Arc, an enterprise-grade blockchain designed to become the Economic OS for the internet. Develop and maintain core services and libraries to enhance critical platform functionalities, such as cataloging data assets and lineage, tracking data versioning and quality, managing auto-backfilling, implementing access controls on data assets.
Salt Lake City, UT30+ days ago
This would include the complete engineering of data centers including, but not limited to, infrastructure, overhead and underfloor racking, cabinets, network and server equipment, cable distribution, power (AC or DC), Cold Aisle Containment solutions, etc. Ability to read, analyze, and interpret the most complex of documents, including technical specifications, white papers, data center drawings and documents.
Salt Lake City, UT30+ days ago
p>Core Responsibilities: Design, build, and deploy robust data platforms, including data lakehouses and warehouses, and automate their operation using tools like Azure DevOps, Terraform, and CloudFormation.
Our teams work with technologies like Databricks, Snowflake, dbt, and the broader Microsoft ecosystem to turn messy, real-world data into trustworthy, actionable insight.
Salt Lake City, UT30+ days ago
This is an area that we need strong expertise in layer 1 networking, data center facilities (i.e. power, cooling), structured cabling solutions and vendor management with a history of building and or supporting physical data center low voltage infrastructure. Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracles differing products, industries and lines of business.
What You'll Get To Do: As a Post Flight Data Processing Software Engineer, you will be responsible for developing deploying a user interface and database solution for acquiring and processing flight test data and supporting the implementation of a program wide test data handling solution. Bachelor's degree or higher in Software Engineering, Computer Science, Aerospace Engineering, Systems Engineering, or similar Science, Technology, Engineering, and Mathematics (STEM) degree.
Salt Lake City, UT30+ days ago
Design and implement scalable data ingestion and transformation frameworks using Azure services enabling structured, semi-structured, and unstructured data to be efficiently processed and integrated into enterprise data platforms. Hands-on experience implementing and optimizing data solutions using the Medallion Architecture (Bronze, Silver, Gold layers) for scalable and structured data processing.
Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role. Use Elastic Common Schema (ECS) formatted fields, create quality visualizations and alerts that analyst can use for threat hunting, maintain infrastructure, and identify problems or anomalous behavior before they become a larger issue and can be actioned on.
Salt Lake City, Utah30+ days ago
As a consultant, you will be responsible for designing, developing, and scaling AI-powered and data-driven product features using IBM Infosphere MDM, Product Mastering Extension (PME), and Stewardship Center (IBM BAW). Design, develop, and maintain solutions using IBM Infosphere MDM and IBM Product Mastering Extension (PME) to support enterprise data management initiatives.