June 4, 2026For 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. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at LeidosCareersFraud@leidos.com.
Oklahoma City, OK1 day ago
June 25, 2026For 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. It's a better process: facilitating a continuous ATO through real-time monitoring and dashboards that provide single pane of glass visibility into control compliance, zero-trust built-in to system design from day one, continuous evidence that gives auditors real-time proof instead of point-in-time packages, and an ATO that program teams can inherit rather than pursue.
Oklahoma City, OK30+ days ago
HII – Mission Technologies is looking for a Software Engineer to support a program located at Tinker AFB, Oklahoma, with knowledge of software engineering in order to support the design, development, testing and evaluation, implementation, maintenance, and administration of new and/or existing software systems. 9 years relevant experience with Bachelors in related field; 7 years relevant experience with Masters in related field; 4 years relevant experience with PhD or Juris Doctorate in related field; or High School Diploma or equivalent and 13 years relevant experience.
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.
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.
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.
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.
Oklahoma City, OK30+ days ago
The role is hands-on: designing data models, building ELT/ETL pipelines using the Medallion Architecture (Bronze / Silver / Gold), and delivering reliable, well-modeled data products on Microsoft Fabric and Azure SQL. ELT / ETL pipeline development: ingestion, transformation, orchestration, and monitoring across the Bronze >> Silver >> Gold flow leveraging tools such as Azure Data Factory, Synapse Analytics, Azure Functions, Python and PySpark for Notebook development.
Oklahoma City, OK23 days ago
As a Data Engineer within our organization, you will play a critical role in building and maintaining robust data pipelines that enable advanced analytics initiatives and support data-driven decision-making. Your responsibilities will include designing and implementing scalable data architectures, ensuring the reliable ingestion and processing of large datasets, and optimizing data storage and retrieval for performance and efficiency.
Oklahoma City, OK8 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.
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.
Collaborating with cross-functional teams, the Staff Data Engineer will design innovative solutions that align with the organization's mission while driving strategic technical and architectural decisions. The YouVersion Staff Data Engineer will lead the development of scalable data infrastructure and processes to support the Bible App's global growth.
Oklahoma City, OK30+ days ago
In terms of professional development, Everforth Apex hosts an on-demand training program, provides access to certification prep and a library of technical and leadership courses/books/seminars once you have 6+ months of tenure, and certification discounts and other perks to associations that include CompTIA and IIBA. Everforth Apex also offers a HSA (Health Savings Account on the HDHP plan), a SupportLinc Employee Assistance Program (EAP) with up to 8 free counseling sessions, a corporate discount savings program and other discounts.
The Senior Data Engineer works across technical teams within the organization, including but not limited to Data Analytics, Software Engineering leaders, and Product teams. The YouVersion Senior Data Engineer is primarily responsible for shaping, implementing, and maintaining data pipelines and systems that provide quality and reliable data.
You will work across cloud and on?premises environments, developing automated processes, optimizing data flows, and contributing to the stability and scalability of the organizations data ecosystem. Key Responsibilities- Develop, enhance, and troubleshoot automated ETL/ELT pipelines using Azure Data Factory, Databricks, SSIS, and related tools.
This entry-level position focuses on building and supporting data pipelines, developing dashboards, and translating business requirements into meaningful data solutions. Liberty Dental Plan commits to maintaining a work environment that acknowledges all individuals within the workplace and will continue to engage in practices that are inclusive of all backgrounds, experiences, and perspectives.
Oklahoma City, OK30+ 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. At PwC, our people in software and product innovation focus on developing cutting-edge software solutions and driving product innovation to meet the evolving needs of clients.
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.
Oklahoma City, OK17 days ago
In addition to delivering innovative solutions for Accenture's clients, you will work with a highly skilled, diverse network of people across Accenture businesses who are using the latest emerging technologies to address today's biggest business challenges. Your day-to-day activities will include creating data pipelines, ensuring data quality, and implementing extract, transform, and load processes to migrate and deploy data across various systems.
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.
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.
ul style="margin-top:2px;margin-bottom:2px">Design, build, and maintain ETL and reverse-ETL pipelines between Snowflake, Azure Data Factory, and legacy SQL Server systems. Partner with the existing SQL Server Data Engineering team to plan and execute the migration of legacy ETL processes and warehouse models to Snowflake and the cloud.
Develop and maintain data quality frameworks - not just running tests, but deciding what to test, identifying where upstream business processes create risk, and building detection that catches problems before consumers do. Use AI tools as a natural part of your engineering workflow (Claude Code, Snowflake Cortex, and others) to accelerate development, improve code quality, and evaluate where AI capabilities can be embedded into the data products you build.
Pryor Creek, OK30+ days ago
From software to hardware, our teams are shaping the future of world-leading hyperscale computing with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more. Were the driving channel behind Googles groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future.
Tulsa, Oklahoma30+ days ago
This level of knowledge is normally acquired through completion of a Bachelor’s Degree in a data-centric field (Computer Science, Economics, Information Systems, Data Analytics, etc.) and 3 years’ experience with demonstrated track record of successful technical leadership in the execution of large-scale data projects or equivalent combination of education and experience.
Essential Duties and Responsibilities: - Serve as a shared resource across product teams to provide expertise and scalable solutions for data integration, modeling, and analytics across all products.
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.
p>Job Requirements: Bachelor''s degree in computer science, electronic engineering, computer information systems or related field, and 3 years of equivalent experience.
Bachelor''s degree in computer science, electronic engineering, computer information systems or related field, and 3 years of equivalent experience.
Work At Home, OK18 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.