412 jobs found

Job Description Job Description We're ALTEN Technology USA, an engineering company helping clients bring groundbreaking ideas to life-from advancing space exploration and life-saving medical devices to building autonomous electric vehicles. With 3,000+ experts across North America, we partner with leading companies in aerospace, medical devices, robotics, automotive, commercial vehicles, EVs, rail, and more. As part of the global ALTEN Group-57,000+ engineers in 30 countries-we deliver across the entire product development cycle, from consulting to full project outsourcing. When you join ALTEN Technology USA, you'll collaborate on some of the world's toughest engineering challenges, supported by mentorship, career growth opportunities, and comprehensive benefits. We take pride in fostering a culture where employees feel valued, supported, and inspired to grow. We are seeking an experienced Data Architect who can design and support scalable enterprise data solutions, including data flows, system integrations, data lakes, and centralized repositories. The ideal candidate has a strong background in data architecture, data management, and modern data platforms, with the ability to collaborate effectively across business and technical teams to ensure seamless data exchange and alignment with organizational goals. This individual will be responsible for documenting data models and architecture decisions, identifying opportunities to improve data accessibility and quality, and helping establish best practices for data governance, lifecycle management, and overall data strategy. Responsibilities: Define and support data architecture strategies across enterprise applications. Design data flows and integrations between business systems and applications. Support the development and evolution of data lakes and central data repositories. Collaborate with application, business, and technology teams to ensure effective data exchange. Document data models, architecture decisions, and integration patterns. Identify opportunities to improve data accessibility, quality, and usage across the organization. Qualifications: Strong experience in data architecture, data management, and enterprise data solutions. Experience designing data flows, application integrations, and functional interfaces between systems. Knowledge of data lakes, centralized repositories, and modern data platforms. Experience supporting data governance, data quality, and data lifecycle management is a strong plus. Ability to collaborate with business and technical teams to define scalable data solutions. The actual salary offered is dependent on various factors including, but not limited to, location, the candidate's combination of job-related knowledge, qualifications, skills, education, training, and experience Due to the potential for involvement with U.S. aerospace programs and export-controlled environments, candidates who qualify as U.S. Persons are preferred. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, age, genetic information, or pregnancy. Please beware of job seeker scams and see this important notice on our careers page for more information about our recruiting process. Compliance Notice: Alten USA is a federal contractor subject to the requirements of the Vietnam Era Veterans' Readjustment Assistance Act (VEVRAA) and Executive Order 11246. We are an Equal Opportunity Employer and consider all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status. Drug Screening Requirement: As a federal contractor, Alten USA maintains a drug-free workplace. All candidates selected for employment will be required to successfully complete a pre-employment drug screening as a condition of hire.

Job Description Job Description Location: Chicago, IL or New York, NY Base Salary Range: $200,000 - $250,000 (Base salary is only one part of Group One Trading's total compensation, which includes an annual discretionary bonus.) THE OPPORTUNITY Our Principal Data Engineer owns the architecture and technical direction of the data platform that powers trading analysis, reporting, and decision-making across Group One. They work closely with traders, risk, finance, and technology leadership to understand how data is produced and consumed across the firm, and translate those needs into a platform designed for reliability, scalability, and long-term evolution. Data usage is expanding rapidly across every part of our firm, and we are building a next-generation data platform to support it. Our existing Microsoft-based environment gives us a strong foundation and deep understanding of our data as we design what comes next. This role will define that future: evaluating technologies, selecting the architecture, establishing engineering standards, and defining a migration strategy that delivers value early while moving us deliberately toward the target platform. You will partner closely with our Senior Data Engineers who serve as the primary builders of the platform and provide technical leadership to the broader data team throughout the transition. We are looking for someone who has designed modern data platforms before, has lived with the consequences of their own architectural decisions, and knows how to make decisive technical choices while remaining open to being challenged by the engineers building alongside them. THE SKILLSET Extensive experience designing, building, and evolving production data platforms, including at least one significant modernization or migration from a legacy architecture Deep expertise in modern data architectures and the trade-offs among cloud data warehouses, lakehouses, batch and streaming systems, orchestration frameworks, transformation tooling, and event-driven architectures Experience evaluating and working with technologies such as Snowflake, Databricks, BigQuery, Redshift, Airflow, Dagster, Prefect, dbt, Kafka, or comparable platforms Strong command of data architecture principles, including data modeling, storage and compute architecture, governance, lineage, security, reliability, and cost management Expert-level SQL and strong proficiency in Python or a comparable language, with the ability and inclination to remain hands-on Working familiarity with the Microsoft data stack-including MSSQL, SSIS, SSAS, SSRS, and Power BI-sufficient to understand existing workloads and design a pragmatic migration path Experience establishing engineering standards around infrastructure-as-code, CI/CD, testing, observability, and data quality Demonstrated technical leadership, including mentoring experienced engineers, driving architectural decisions, and building consensus across teams with competing requirements Sound judgment around architectural trade-offs, build-versus-buy decisions, vendor selection, and production change risk Ability to communicate complex architectural decisions clearly to both technical and non-technical stakeholders WHAT TO EXPECT AS A PRINCIPAL DATA ENGINEER Within 1 month , you will understand our existing data environment, the systems that feed it, and the teams that depend on it. You will work directly with traders, risk, finance, operations, and technology leadership to understand our highest-value data use cases, current limitations, and long-term objectives. Within 3 months , you will have assessed our existing data landscape and established the target architecture for our next-generation platform, including technology selections, build-versus-buy decisions, migration strategy, and implementation sequencing. Working alongside our Senior Data Engineers, you will validate the architecture against real workloads, establish engineering standards, and begin putting the first components into production. Within 6 months , you will have production workloads operating on the new platform and a repeatable pattern for migrating additional datasets, pipelines, and reporting workloads. You will be leading the technical direction of the data engineering team, developing the engineers around you, and partnering with technology and business leadership on the longer-term roadmap for data at Group One. THE BENEFITS Our Principal Data Engineer earns a competitive salary, including a performance-based bonus. We provide fantastic benefits, including 401(k) and Roth 401(k) retirement plans with employer matching, medical, dental, vision, generous vacation time, paid holidays, parental leave, and flexible spending accounts (FSA) for health care, dependent daycare, and parking or mass transit expenses. If this sounds like the right opportunity for you, apply today! Please fill out our initial 3-minute, mobile-friendly application for the Principal Data Engineer role. We look forward to meeting you! Job Posted by ApplicantPro

Job Description Job Description We're ALTEN Technology USA, an engineering company helping clients bring groundbreaking ideas to life-from advancing space exploration and life-saving medical devices to building autonomous electric vehicles. With 3,000+ experts across North America, we partner with leading companies in aerospace, medical devices, robotics, automotive, commercial vehicles, EVs, rail, and more. As part of the global ALTEN Group-57,000+ engineers in 30 countries-we deliver across the entire product development cycle, from consulting to full project outsourcing. When you join ALTEN Technology USA, you'll collaborate on some of the world's toughest engineering challenges, supported by mentorship, career growth opportunities, and comprehensive benefits. We take pride in fostering a culture where employees feel valued, supported, and inspired to grow. We are seeking an experienced Data Architect who can design and support scalable enterprise data solutions, including data flows, system integrations, data lakes, and centralized repositories. The ideal candidate has a strong background in data architecture, data management, and modern data platforms, with the ability to collaborate effectively across business and technical teams to ensure seamless data exchange and alignment with organizational goals. This individual will be responsible for documenting data models and architecture decisions, identifying opportunities to improve data accessibility and quality, and helping establish best practices for data governance, lifecycle management, and overall data strategy. Responsibilities: Define and support data architecture strategies across enterprise applications. Design data flows and integrations between business systems and applications. Support the development and evolution of data lakes and central data repositories. Collaborate with application, business, and technology teams to ensure effective data exchange. Document data models, architecture decisions, and integration patterns. Identify opportunities to improve data accessibility, quality, and usage across the organization. Qualifications: Strong experience in data architecture, data management, and enterprise data solutions. Experience designing data flows, application integrations, and functional interfaces between systems. Knowledge of data lakes, centralized repositories, and modern data platforms. Experience supporting data governance, data quality, and data lifecycle management is a strong plus. Ability to collaborate with business and technical teams to define scalable data solutions. The actual salary offered is dependent on various factors including, but not limited to, location, the candidate's combination of job-related knowledge, qualifications, skills, education, training, and experience Due to the potential for involvement with U.S. aerospace programs and export-controlled environments, candidates who qualify as U.S. Persons are preferred. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, age, genetic information, or pregnancy. Please beware of job seeker scams and see this important notice on our careers page for more information about our recruiting process. Compliance Notice: Alten USA is a federal contractor subject to the requirements of the Vietnam Era Veterans' Readjustment Assistance Act (VEVRAA) and Executive Order 11246. We are an Equal Opportunity Employer and consider all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status. Drug Screening Requirement: As a federal contractor, Alten USA maintains a drug-free workplace. All candidates selected for employment will be required to successfully complete a pre-employment drug screening as a condition of hire.

Job Description Job Description Job Description iOS Mobile Capability Developer Columbia, MD Full Time TS/SCI with Full-Scope Polygraph Required Position: iOS Mobile Capability Developer (Computer Scientist, Level 1) Location: Columbia, MD (on-site) Category: Software Development / Mobile Embedded Platforms / Reverse Engineering Clearance Requirement: Active TS/SCI with Full-Scope Polygraph Compensation: $90,000 - $110,000 (annualized USD) Experience Requirement: 1+ year with a Bachelor's degree, OR 0+ years with a Master's degree At least 1 year of cybersecurity-related software development experience Degree must be in Computer Science, Computer Engineering, or a closely related discipline Description We are seeking an iOS-savvy software developer to join a small, mission-impactful team building new capabilities on mobile platforms. You'll combine deep iOS internals knowledge with reverse engineering skills to design, prototype, and harden tools that solve real, hard problems. This role offers room to grow alongside experienced engineers - you'll take ownership of components from the start, and your work will be deployed and used quickly rather than sitting in a backlog. Responsibilities Develop, modify, and integrate software targeting iOS and related Apple platforms. Reverse engineer iOS applications, libraries, and platform components to inform capability design. Prototype creative solutions to complex platform-level problems and iterate based on testing and user feedback. Produce and maintain technical documentation for the tools and components you build. Collaborate with senior engineers, analysts, and end users to refine requirements and approach. Skills Requirements Hands-on experience with iOS internals. Reverse engineering experience on mobile or embedded platforms. Production-grade software development experience in at least one systems language (C, C++, Objective-C, Swift). Familiarity with Linux/macOS development environments. Familiarity with Git and Atlassian tooling (Jira, Confluence). Strong critical thinking, communication, and collaboration skills. Nice to Haves Experience with ARM assembly and low-level debugging. Familiarity with iOS exploitation, jailbreak research, or vulnerability research. Experience with embedded firmware analysis. Exposure to Android, Bluetooth, or other adjacent mobile platforms. Familiarity with GitLab CI/CD workflows. Compensation Employment Policy Salary is determined by multiple factors, including location, education, experience, skills, and organizational requirements. The projected compensation range for this position is $90,000 - $110,000 (annualized USD). Benefits Overview At Intezra, Inc., we offer a comprehensive benefits package designed to support long-term career growth and work-life balance: Three CareFirst medical plans available; Intezra pays up to 100% of healthcare premiums and up to 100% of deductibles (based on plan selection) for employees and dependents Intezra pays 100% for CareFirst Dental and Vision plans for employees and dependents 401(k): 15% company contribution (no match required) PTO: 160 hours, increasing with seniority 12 Floating Holidays 4 Code Red Days EEO Statement Intezra, Inc. provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any kind without regard to race, color, religion, age, sex, national origin, disability status, genetics, pregnancy, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. About Us Intezra Inc. is a small business prime contractor for all realms of cyber and AI/ML development, from tactical-level tools and capabilities to enterprise-level infrastructure and operations. Our leadership team and staff have helped solve the most complex challenges for the intelligence community for over 15 years. , About Intezra, Inc. Intezra Inc. is a small business prime contractor for all realms of cyber and AI/ML development, from tactical-level tools and capabilities to enterprise-level infrastructure and operations. Our leadership team and staff have helped solve the most complex challenges for the intelligence community for over 15 years.

Job Description Job Description Convene Hospitality Group (CHG) operates a global portfolio of lifestyle brands focused on creating places and experiences that bring people together. The company designs, develops, and operates hospitality-driven destinations to host gatherings of all kinds, ranging from small corporate meetings to immersive brand activations and beyond. We love bringing people together in person, and that passion for great experiences extends to our employees as well. If you're interested in creating inspiring moments of connection, consider joining our team. Data Platform Lead We're hiring a hands-on Data Platform Lead, to join Convene Hospitality Group's (CHG) Technology organization.You'll own our data platform end to end, from architecture to how we model the business, and you'll manage the analytics engineers who build on it. Data platform modernization and AI-first development are top priorities, and this role sits at the center of both, working hand in hand with the product engineers whose systems create much of our data. Today, our marts mostly mirror the systems they come from. Salesforce data looks like Salesforce, NetSuite data looks like NetSuite. You'll reshape our models around how the business runs, organized by domain, and layer governed dashboards and conversational analytics on top. In one year, a finance lead, a venue GM, and an AI agent should all be able to ask a question in plain language and get the same trusted answer. Today we run Snowflake, dbt, and Fivetran. You'll help us rearchitect for where CHG is headed: building on Snowflake's native capabilities (semantic views, Cortex, and its agent tooling), rolling out ThoughtSpot, and filling gaps like observability. This is a hands-on management role, open to first-time managers. If you've led as a tech lead, mentored engineers, or directed contractors, you'll get direct coaching from a VP of Engineering who develops first-time leaders. Experienced managers who still want to build are welcome too. What You'll Do: Own the data platform end to end. Architecture, reliability, and roadmap from source to decision across Snowflake, dbt, and Fivetran. Move platform configuration from the UI into Terraform, in coordination with Cloud Infrastructure, so warehouses, roles, grants and connectors are versioned, reviewed and reproducible. Rethink how we model the business. Move us from source-shaped marts to domain-oriented models built around how CHG runs. Set the modeling standards, naming conventions and review practices the team builds on. Work backward from the business question. Partner with Finance, Sales, Operations and venue leadership to turn the questions they need answered into models, metrics and definitions they trust. Partner closely with product engineering. Work with product squads on schema design, data contracts, and upstream changes, so the platform and products evolve together. Own data quality and observability. Set the testing standards, contracts, and reconciliation checks that make our numbers trustworthy, and alert an owner before a stakeholder finds a broken dashboard. Own the metrics and BI layer. Roll out our BI tool and build the semantic layer behind governed dashboards in Snowflake semantic views, with certified metrics and shared definitions, so a number means the same thing everywhere it shows up. Bring conversational analytics online, safely. Stand up natural-language querying and agents on Snowflake's native tools, with the evals and guardrails that keep agent, dashboard, and human answers in sync. Govern the data. Access control, PII handling and accessible documentation across analytics and AI. Lead and grow analytics engineering. Manage and hire our analytics engineers, and direct the contractors we work with today. Coach through code review, pairing, and clear expectations. Keep your hands on the keyboard. Write dbt models, review PRs, debug pipelines and prototype new approaches. Expect to build a lot, especially early on. What We Look For: You have 7+ years in data engineering, analytics engineering or data architecture, including building a modern data platform that people rely on in production. You use AI agents for real multi-step work: building models, writing tests, debugging pipelines and documenting what exists. You write clear specs, give agents the right context, and verify what they produce against the real system. You're deep on dbt and Snowflake. You've designed project structure, testing strategy and warehouse performance at scale, and you manage the platform as code with Terraform or similar. You're fluent in data modeling and have moved a team from source-shaped models to business-shaped, domain-oriented marts, then seen the change through to adoption. You've built data quality and observability practices: tests, contracts, freshness monitoring and alerting that people trust. You've built a semantic layer and governed metrics that people trust, and you understand what it takes to make natural-language and agent-driven analytics accurate. You've worked with managed ingestion like Fivetran and know where it fits and where it breaks. You've led beyond your own work: as a tech lead on a multi-person project, mentoring engineers, running interview loops, or directing contractors or vendors. You explain clearly to engineers and non-engineers. You can walk an analyst through a modeling decision and a CFO through a metric definition. You're high agency. You set direction without waiting for a spec, make architecture calls, and write down your reasoning. Bonus Points You've rolled out ThoughtSpot or another search-driven BI tool. You've unleashed an autonomous agent in the wild, and built the fencing, monitoring and improvement loop around it. You've modeled data from Salesforce, NetSuite or HRIS platforms. You've prepared data for AI use cases: retrieval, agents or feature pipelines. You've worked in hospitality, events, real estate or another customer-centric, multi-location business. Compensation: The above job definition information has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities, and qualifications required of employees assigned to this job. Job duties and responsibilities are subject to change based on changing business needs and conditions. Base Salary Range: $180,000 - $200,000 Total Target Compensation: $198,000 - $220,000 (includes base salary + annual incentive performance bonus) This information reflects the anticipated base salary range for this position based on current national data. Minimums and maximums may vary based on location. Individual pay is based on skills, experience and other relevant factors. We're Here For You: At Convene Hospitality Group, we want you to feel supported in every part of your life. Here's what you can expect: Health & Wellness: Day-one health coverage for you and your family, 24/7 virtual care, emotional well-being support, and fertility & family planning benefits. Because your well-being matters, inside and outside of work. Time Off & Balance: Generous PTO, your birthday off (because, of course!), paid parental leave, and a year-end holiday closure to recharge. Financial Growth: 401K with company match and support for education, courses, and certifications. We invest in you so you can grow personally and professionally. Development & Recognition: Ongoing career growth opportunities plus recognition programs to celebrate milestones. Community & Impact: Volunteer and give-back opportunities, and the chance to make a real impact in the work you do. At Convene Hospitality Group, we believe great teams are built by bringing together people with different backgrounds, perspectives, and experiences. Our values of GRIT (Genuine, Relentless, Integrity, and Teamwork) shape how we show up for each other every day. We want everyone here to feel welcome, supported, and free to be themselves. If you're excited to grow, learn, and make an impact, we'd love to have you on the team. Convene Hospitality Group is proud to be an equal opportunity employer. We welcome applicants of all backgrounds, experiences, and perspectives.

Job Description Job Description Overview Data Architect Arlington, VA Are you ready to enhance your skills and build your career in a rapidly evolving business climate? Are you looking for a career where professional development is embedded in your employer's core culture? If so, Chenega Military, Intelligence & Operations Support (MIOS) could be the place for you! Join our team of professionals who support large-scale government operations by leveraging cutting-edge technology and take your career to the next level! We deliver essential technology services to our customers in support of their missions to sustain the national security and economic interests of our nation. SecuriGence is seeking an experienced Data Architect to support the SAGE Team's architecture and modernization efforts within the Defense Advanced Research Projects Agency (DARPA) Information Technology Directorate (ITD) environment. The SAGE Team provides architectural support for on premises and multi-cloud enterprises operating across Amazon Web Services (AWS) and Microsoft Azure environments, including Impact Level 4 (IL4) and Impact Level 6 (IL6) as well as SAP workloads. The environment currently includes relational database platforms, Microsoft SQL Server, and AWS Relational Database Service (RDS). The Data Architect will lead the development and execution of a modern data architecture strategy that improves scalability, resiliency, security, automation, interoperability, and operational efficiency for both structured and unstructured data assets across the DARPA environment. A central focus of the role is guiding the transition from infrastructure-as-a-service (IaaS)-based database deployments to secure, containerized and platform-oriented data solutions where operationally appropriate while also rationalizing and organizing disparate data sources (including legacy databases, file shares, and ad hoc research data stores) into governed, cataloged, and analytically usable forms. Help us solve problems with Innovation Through Intelligence. Responsibilities Develop and maintain the target-state data architecture, roadmap, standards, and reference patterns for DARPA ITD multi-cloud environments. Assess existing relational database platforms, including Microsoft SQL Server and AWS RDS as well as other data stores such as shared file systems and ad hoc research repositories, and develop modernization recommendations for performance, availability, security, lifecycle management, and cost optimization. Design secure, scalable, highly available, and resilient data solutions supporting AWS, Azure, IL4, and IL6 environments. Lead architecture decisions related to database modernization, containerized database platforms, managed database services, data replication, backup and recovery, disaster recovery, and cross-environment data integration including patterns for integrating data from legacy file shares and heterogeneous research data sources into enterprise data platforms. Define architectural patterns for transitioning appropriate database workloads from traditional IaaS deployments to container-based solutions, including Kubernetes-based platforms. Establish data architecture standards for database provisioning, configuration management, schema management, data lifecycle management, encryption, auditing, logging, monitoring, and operational support. Partners with cloud architects, cybersecurity personnel, infrastructure engineers, application teams, DevSecOps engineers, and program stakeholders to align data solutions with enterprise architecture and mission requirements. Ensure data platform designs support applicable DoW cybersecurity, risk-management, security-control, identity, access-control, logging, and continuous-monitoring requirements. Develop Infrastructure as Code (IaC), automation, and repeatable deployment patterns for database and data-platform services. Evaluate commercial cloud-native, open-source, and government-approved data technologies; prepare technical recommendations, trade studies, decision papers, and implementation plans. Support architecture reviews, technical design reviews, modernization of working groups, and senior-leader briefings. Develop technical documentation, including data models, logical and physical data architectures, interface specifications, operating procedures, reference architectures, and migration plans. Provide technical leadership and mentorship to engineers and administrators supporting database and data-platform operations. Other duties as assigned. Qualifications Bachelor's degree in computer science, Information Systems, Engineering, Data Management, or a related technical field; equivalent relevant experience may be considered. 10+ years of progressive experience in data architecture, database engineering, database administration, cloud architecture, or related technical roles. 5+ years of experience designing, implementing, and supporting enterprise relational database solutions. Demonstrated experience with AWS RDS and AWS-native database services. Experience designing and supporting cloud-based data solutions in AWS and/or Microsoft Azure. Experience with database modernization initiatives, including migration from legacy or IaaS-hosted databases to managed, cloud-native, or containerized platforms. Experience with container technologies and orchestration platforms, such as Docker, Kubernetes, Amazon Elastic Kubernetes Service (EKS), Azure Kubernetes Service (AKS), OpenShift, or equivalent platforms. Experience implementing DevSecOps practices, CI/CD pipelines, Infrastructure as Code, and configuration-management practices in enterprise environments. Experience consolidating and modernizing fragmented organizational data (e.g., legacy databases, file shares, document repositories, research data sets) into governed, cataloged, and analytically ready platforms (such as data warehouses, data lakes, or lake houses). Security certifications such as Certified Data Management Professional (CDMP), CISSP, CCSP, or equivalent DoD Top Secret clearance with ability to obtain SCI Preferred Qualifications Experience supporting DARPA, DoW, Intelligence Community, or other federal national-security environments. Experience supporting IL4, IL5, IL6, classified, or similarly controlled cloud environments. Experience with Azure SQL, Azure Database for PostgreSQL, Amazon Aurora, PostgreSQL, MySQL, MongoDB, Redis, Elasticsearch/OpenSearch, or other modern data platforms. Experience implementing database platforms on Kubernetes using operators, Helm, GitOps, service meshes, and policy-as-code. Experience with Zero Trust Architecture, identity and access management, privileged access management, encryption key management, and security logging for enterprise data platforms. Experience with RMF processes, security-control implementation, authorization packages, vulnerability remediation, and continuous monitoring. Experience with data cataloging, metadata management, data governance, and enterprise data strategy. Experience conducting technology evaluations, migration assessments, cost analyses, and technical trade studies. Experience building databases leveraging AI, LLM and RAG solutions. The successful candidate is a technically credible architect who can balance modernization objectives with mission continuity, cybersecurity requirements, operational risk, and maintainability. The candidate should be comfortable working across engineering, cybersecurity, operations, and leadership teams; translating complex technical issues into clear decisions; and driving practical modernization in a sensitive, high-availability mission environment. Knowledge, Skills and Abilities: Demonstrated expertise with Microsoft SQL Server, including high availability, backup and recovery, performance tuning, security, replication, and lifecycle management. Knowledge of data architecture principles, including logical and physical data modeling, metadata management, data governance, data integration, data quality, retention, and lifecycle management. Knowledge of high availability, disaster recovery, backup, restoration, replication, encryption, database auditing, and performance monitoring. Strong written and verbal communication skills, including the ability to brief technical and nontechnical stakeholders. Ability to produce clear technical documentation, architecture diagrams, migration roadmaps, and decision-ready recommendations. Advanced knowledge of multi-cloud data architecture, with demonstrated skill in designing and implementing secure, scalable, and resilient data solutions across AWS and Azure, including for IL4 and IL6 environments. Expertise in database modernization strategies, including the ability to lead migrations from IaaS-hosted databases (e.g., SQL Server) to managed cloud-native services (e.g., AWS RDS) and containerized platforms like Kubernetes. Proven ability to develop and implement data governance frameworks, covering data modeling, metadata management, data quality, and lifecycle management to consolidate and organize disparate data sources into analytically usable forms. Skill in applying DevSecOps principles to data platforms, including the use of Infrastructure as Code (IaC), CI/CD pipelines, and automation to manage and deploy database services securely and efficiently. Strong communication and leadership skills . click apply for full job details

Job Description Job Description About NDi: Network Designs, Inc. (NDi) is a leading Federal contractor that specializes in designing, developing, and delivering information technology and network solutions for government customers. Founded in 1985, NDi's firmly defined core values have driven all aspects of the business, which have been paramount to our company's success and the establishment of an enjoyable workplace atmosphere. At NDi, we believe that our people are the cornerstone of our success, and we value collaboration, career growth, and winning ideas. Military Veterans Encouraged to Apply. Future Opportunity Notice: We are currently accepting resumes to build our talent pipeline for potential upcoming opportunities. This posting is not associated with an immediate opening. Job Description: We are seeking an experienced, solutions-oriented Senior Data & Analytics Solutions Architect with a strong specialization in Power BI, data integration, API development, and business intelligence. This individual will partner directly with customers, business leaders, and cross-functional teams to translate business needs into actionable data solutions that support informed decision-making. The ideal candidate combines strong technical expertise with exceptional communication and customer engagement skills. They can engage confidently with executive stakeholders, identify the questions customers need answered, and design intuitive dashboards, reports, and analytics products that turn complex data into clear, meaningful business insights. This is a highly project-focused role requiring the ability to manage multiple priorities, solve problems in real time, and deliver high-quality solutions within accelerated timelines. The successful candidate will be comfortable working in ambiguous environments, adapting solutions as requirements evolve, and balancing speed of delivery with data accuracy, reliability, and usability. Requirements: U.S. Citizenship is required Must be able to obtain a Public Trust clearance This position requires working onsite in Washington D.C., 5 days per week Qualifications and Experience: Bachelor's degree in Data Science, Computer Science, Information Systems, Statistics, Analytics, or a related field, or equivalent practical experience. Minimum of 10 years of relevant professional experience in data science, business intelligence, analytics, data solutions, or a closely related discipline. Demonstrated expertise in designing and delivering Power BI dashboards and reporting solutions. Power Apps - Business application development: Build customized interfaces for data entry, operational processes, approvals, and business applications. Power Automate - Workflow and process automation: Automate repetitive activities, notifications, approvals, data movement, and integrations. Strong practical experience with Power Query, DAX, data modeling, and data visualization. Proven experience integrating data through APIs, particularly REST APIs and JSON-based data exchange. Strong SQL skills and experience working with relational databases and multiple data sources. Demonstrated success delivering customer-facing analytics projects from requirements discovery through implementation. Experience managing multiple projects, competing priorities, and accelerated delivery timelines. Exceptional verbal and written communication skills, including the ability to communicate effectively with executive-level stakeholders. Proven ability to translate complex business needs into practical, scalable, and user-friendly technical solutions. Strong analytical thinking, troubleshooting, problem-solving, and decision-making capabilities. Experience working independently and exercising sound judgment in ambiguous or rapidly changing environments. Demonstrated commitment to data accuracy, quality assurance, security, and professional standards. Preferred Qualifications: Experience with Microsoft Fabric, Azure data services, Azure SQL, or related cloud-based data platforms. Familiarity with Python or R for data analysis, automation, or advanced analytics. Experience with data pipelines, ETL/ELT processes, and workflow automation. Knowledge of Power BI Service, deployment pipelines, row-level security, and workspace governance. Experience with Agile or other project delivery methodologies. Experience working directly with external customers, senior business leaders, or enterprise clients. Key Responsibilities Customer Engagement & Requirements Discovery: Engage directly with customers, business stakeholders, and executive leadership to understand business objectives, operational challenges, and reporting requirements. Translate business questions and customer needs into actionable analytics requirements and technical solutions. Lead discovery sessions, stakeholder interviews, and requirements-gathering workshops to identify key performance indicators (KPIs), success measures, and decision-making needs. Challenge assumptions and proactively recommend solutions that improve visibility, efficiency, and business outcomes. Communicate technical concepts, analytical findings, and recommendations clearly and confidently to audiences ranging from technical teams to executive leadership. Build trusted customer relationships through responsiveness, professionalism, sound judgment, and consistent delivery. Power BI Dashboard & Reporting Development: Design, develop, and maintain interactive Power BI dashboards, reports, and business intelligence products. Transform complex datasets into intuitive, visually compelling, and actionable reporting experiences. Develop data models, measures, calculations, and business logic using Power Query, DAX, and related tools. Ensure dashboards align with customer objectives, provide meaningful insights, and enable timely, data-driven decisions. Apply best practices in dashboard design, data visualization, usability, performance optimization, and accessibility. Establish appropriate data validation, quality controls, and reporting standards to ensure accuracy and trust in delivered products. Iterate rapidly on dashboards and reports based on customer feedback, changing requirements, and evolving business priorities. API Integration & Data Engineering: Design, develop, and support API integrations that connect disparate systems, applications, and data sources. Work with REST APIs, JSON, authentication methods, and data transformation processes to enable reliable data access and integration. Troubleshoot connectivity issues, data discrepancies, refresh failures, and integration challenges. Develop repeatable, scalable approaches to data ingestion, transformation, and reporting. Collaborate with engineering, IT, data platform, and application teams to ensure secure, reliable, and maintainable data solutions. Understand and apply appropriate security, access control, data governance, and data privacy practices. Rapid Solution Development & Project Delivery: Lead analytics projects from initial customer engagement and solution design through development, testing, deployment, and handover. Deliver fit-for-purpose dashboards, reports, and data products within short turnaround times without compromising essential quality standards. Assess business needs quickly, determine the most effective technical approach, and make informed decisions when requirements are incomplete or evolving. Develop prototypes and minimum viable products (MVPs) to validate concepts, demonstrate value, and accelerate customer feedback. Manage project scope, milestones, risks, dependencies, and stakeholder expectations. Balance immediate customer needs with long-term maintainability, scalability, and technical sustainability. Identify opportunities to streamline delivery, reuse existing components, and improve the efficiency of analytics development. Proactively communicate progress, constraints, trade-offs, and delivery risks to stakeholders. Data Analysis & Decision Support: Analyze data to identify trends, patterns, performance gaps, opportunities, and potential risks. Translate analytical findings into clear business insights, recommendations, and actionable next steps. Partner with stakeholders to define relevant KPIs, performance measures, and reporting frameworks. Ensure reports tell a clear story, answer the right business questions, and support decisions rather than simply display data. Validate assumptions, investigate anomalies, and ensure conclusions are supported by reliable data. Recommend improvements to reporting processes, data accessibility, and business intelligence capabilities. Stakeholder Collaboration & Executive Communication: Present dashboards, analytical findings, project outcomes, and recommendations to senior leaders and executive audiences. Develop concise, professional presentations and executive-level reporting materials. Facilitate productive conversations between customers, business teams, technical specialists, and leadership. Navigate competing priorities and differing perspectives while maintaining constructive, professional working relationships. . click apply for full job details

Job Description Job Description Citizenship Requirement: Must be U.S. Citizen Clearance Requirement: TS/SCI clearance with polygraph This role offers a hybrid work model, with both in-office and remote work. Help Shape the Future of Super Intelligence for National Security At IntelliGenesis, we don't just teach SI - we develop it Through our IG Labs innovation division, we research, prototype, and operationalize emerging artificial intelligence capabilities for some of the nation's most challenging mission environments. From agentic SI and large language models to cyber defense, autonomous systems, and mission-focused SI applications, our teams are helping government organizations accelerate the adoption of trusted SI. We are seeking an experienced Super Intelligence Subject Matter Expert (SI SME) to serve as a bridge between cutting-edge SI innovation and workforce transformation. This individual will work closely with IG Labs researchers, SI engineers, mission experts, and instructional designers to ensure that emerging SI capabilities are translated into meaningful learning experiences, workforce development initiatives, and operationally relevant training programs. This is an opportunity to influence not only how SI is developed, but how it is understood, adopted, and employed across the national security community. What You'll Do Serve as the principal AI technical advisor supporting SI education, workforce development, and mission-focused training initiatives. Collaborate with IG Labs researchers and engineers to identify emerging SI technologies and translate them into workforce development opportunities. Help define the skills, competencies, and certification standards required for an SI-ready workforce. Guide the development of curriculum, labs, simulations, and practical exercises focused on real-world SI applications. Provide technical leadership across topics including: Generative SI Large Language Models (LLMs) Agentic SI Machine Learning Deep Learning Data Science AI Governance and Responsible SI MLOps and SI Operations Cybersecurity and SI Ensure training content remains aligned with current industry advancements, government AI strategies, and operational mission requirements. Develop mission-relevant use cases demonstrating how SI can be applied to solve real-world challenges. Support SI demonstrations, workshops, technical exchanges, and customer engagements. Evaluate emerging technologies and provide recommendations regarding future workforce development and training priorities. Contribute thought leadership supporting IntelliGenesis' SI strategy, innovation initiatives, and workforce transformation efforts. Required Qualifications: Must be a U.S. Citizen. Active TS/SCI clearance with polygraph. Bachelor's degree in Computer Science, Super Intelligence, Data Science, Engineering, Mathematics, or related technical discipline. 10+ years of technical experience in artificial intelligence, machine learning, data science, advanced analytics, and/or related discipline. Demonstrated experience applying SI technologies to operational, mission, research, or business challenges. Experience with large language models, retrieval augmented generation (RAG), agentic SI architectures, SI orchestration frameworks, or autonomous systems. Familiarity with Responsible SI, SI governance, and emerging federal SI policies. Strong understanding of modern SI methodologies, architectures, and workflows. Ability to communicate complex technical concepts to technical and non-technical audiences. Deep understanding of Python software development, including analysis of existing codebases and proficiency at writing Python tools. Understanding of software engineering principles and system designFamiliarity with applied machine learning domains (e.g., natural language processing, computer vision, autonomy, audio analysis). Ability to quickly learn and adapt to new technologies and domains. Desired Qualifications: Master's degree or PhD in Super Intelligence, Computer Science, Data Science, Engineering, Mathematics or related discipline. Experience supporting Department of Defense, Intelligence Community, or Federal Government organizations. Experience developing technical training, certifications, workshops, or workforce development programs. Experience with containerization and virtualization architectures. Demonstrated ability to identify, analyze, and balance architecture drivers, tradeoffs, extensibility, and long-term maintainability. Published research, conference presentations, patents, or demonstrated contributions to SI innovation initiatives. Why IntelliGenesis? At IntelliGenesis, you'll have the opportunity to work alongside SI researchers, engineers, mission operators, and innovators who are actively developing next-generation SI capabilities through IG Labs, our dedicated research and innovation division. You'll help bridge the gap between SI innovation and mission adoption by influencing how SI is developed, understood, and operationalized across the national security community. Whether contributing to SI prototypes, exploring emerging technologies, supporting workforce transformation initiatives, or helping shape future SI certification programs, you'll play a direct role in preparing government organizations for an SI-enabled future. Join us in building the technologies - and the workforce that will define the next generation of mission success! Compensation Range: $185,000 - $215,000 _ Compensation ranges encompass a total compensation package and are a general guideline only and not intended as a guaranteed and/or implied final compensation or salary for this job opening. Determination of official compensation or salary relies on several different factors including, but not limited to: level of position, complexity of job responsibilities, geographic location, candidate's scope of relevant work experience, educational background, certifications, contract-specific affordability, organizational requirements and alignment with local market data. Our compensation includes other indirect financial components designed to support employees' total well-being, which should be considered when evaluating our competitive benefits package. These monetary benefits include medical insurance, life insurance, disability, paid time off, maternity/paternity leave, 401(k) company match, training/education reimbursements and other work/life programs. _ IntelliGenesis is committed to providing equal opportunity to all employees and applicants for employment. The Company is an Equal Opportunity Employer (EOE), and as such, does not tolerate discrimination, retaliation, or harassment of its employees or applicants based upon race, color, religion, gender, sexual orientation, national origin, age, genetic information, disability, or any other protected characteristic under local, state, or federal law in any employment practice. Such employment practices include, but are not limited to: hiring, promotion, demotion, transfer, recruitment, or recruitment advertising, selection, disciplinary action layoff, termination, rates of pay, or other forms of compensation and selection of training. IntelliGenesis is committed to the fair and equal employment of individuals with disabilities. It is the Company's policy to reasonably accommodate qualified individuals with disabilities unless the accommodation would impose an undue hardship on the organization. In accordance with the Americans with Disabilities Act (ADA) as amended, reasonable accommodations will be provided to qualified individuals with disabilities, when such accommodations are necessary, to enable them to perform the essential functions of their jobs or to enjoy the equal benefits and privileges of employment. This policy applies to all applicants for employment and all employees. Powered by JazzHR ZWkdp6Qoon

Job Description Job Description Data Architect / Engineer Who We Are ThinkTek LLC is a fast-growing Certified SBA 8(a) and Service-Disabled Veteran-Owned Small Business (SDVOSB) specializing in management and technology consulting for Federal Government modernization. We provide tailored solutions in Program & Project Management, Strategic Planning, and IT Operations. Position Overview We are seeking an experienced Data Architect and Lead Data Engineer to define and implement the secure, traceable technical foundation for enterprise performance reporting. This hands-on position owns technical architecture, source-system mapping, canonical data models, physical lineage, integration patterns, ETL pipelines, APIs, and operational controls. The successful candidate will lead technical reviews, write and review production code, and submit architecture, security, and deployment decisions for Government review and approval. Key Responsibilities Assess approved source systems and define the supporting data architecture, models, mappings, integration requirements, and technical lineage. Translate approved business measures and user needs into technical requirements, validation rules, and acceptance criteria. Design, develop, deploy, monitor, and troubleshoot secure ETL pipelines and APIs that connect source systems, enterprise data platforms, and business intelligence products. Develop production-quality SQL and application code for data integration, transformation, validation, orchestration, and API services. Apply security, reliability, testing, source-control, configuration-management, deployment, monitoring, and recovery practices throughout the development lifecycle. Lead technical reviews and coordinate architecture, security, integration, and deployment decisions with Government technical authorities and data owners. Required Qualifications Education: Bachelor's degree in Computer Science, Information Systems, Data Engineering, Software Engineering, or another relevant technical field Skills & Competencies: Minimum of 3 years of experience in data architecture, systems integration, data engineering, or a related technical field. Experience designing data architectures, data models, mappings, and integrations across complex source systems. Strong SQL and programming skills, with hands-on experience developing data pipelines, APIs, or other integration solutions. Experience implementing secure data solutions in Federal, regulated, or similarly controlled environments. Familiarity with modern software development practices, including source control, code review, automated testing, deployment, monitoring, and recovery. Ability to translate business needs into technical requirements, resolve complex data and integration issues, and explain technical decisions to technical and nontechnical stakeholders. Preferred Qualifications 5 or more years of relevant experience, including hands-on technical leadership on a Federal data modernization or analytics program. Experience with cloud data platforms, enterprise data warehouses, streaming or event-driven integrations, and business intelligence environments. Experience with PKI, OAuth2, smart-card authentication, and Federal security controls. Experience supporting authorization, assessment, or continuous-monitoring activities for Federal information systems. Preferred Certifications Data architecture, cloud architecture, data engineering, DevSecOps, API, or security certification. Role-based cybersecurity certification or training when required by assigned duties. Clearance: Active Secret Security Clearance. The anticipated annual salary range for this position is $85,030 - $95,020. This range is a good-faith estimate and not a guarantee of compensation. Final compensation will be based on factors including experience, education, skills, geographic location, internal equity, market data, and applicable contract requirements, and may fall outside the posted range. ThinkTek LLC is proud to be an Equal Opportunity Employer (EOE), making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. ThinkTek offers medical, dental, and vision insurance to all full-time employees; PTO and a variety of other paid leave options are also available. You can read more about ThinkTek benefits at

Job Description Job Description We're ALTEN Technology USA, an engineering company helping clients bring groundbreaking ideas to life-from advancing space exploration and life-saving medical devices to building autonomous electric vehicles. With 3,000+ experts across North America, we partner with leading companies in aerospace, medical devices, robotics, automotive, commercial vehicles, EVs, rail, and more. As part of the global ALTEN Group-57,000+ engineers in 30 countries-we deliver across the entire product development cycle, from consulting to full project outsourcing. When you join ALTEN Technology USA, you'll collaborate on some of the world's toughest engineering challenges, supported by mentorship, career growth opportunities, and comprehensive benefits. We take pride in fostering a culture where employees feel valued, supported, and inspired to grow. We are seeking an experienced Data Architect who can design and support scalable enterprise data solutions, including data flows, system integrations, data lakes, and centralized repositories. The ideal candidate has a strong background in data architecture, data management, and modern data platforms, with the ability to collaborate effectively across business and technical teams to ensure seamless data exchange and alignment with organizational goals. This individual will be responsible for documenting data models and architecture decisions, identifying opportunities to improve data accessibility and quality, and helping establish best practices for data governance, lifecycle management, and overall data strategy. Responsibilities: Define and support data architecture strategies across enterprise applications. Design data flows and integrations between business systems and applications. Support the development and evolution of data lakes and central data repositories. Collaborate with application, business, and technology teams to ensure effective data exchange. Document data models, architecture decisions, and integration patterns. Identify opportunities to improve data accessibility, quality, and usage across the organization. Qualifications: Strong experience in data architecture, data management, and enterprise data solutions. Experience designing data flows, application integrations, and functional interfaces between systems. Knowledge of data lakes, centralized repositories, and modern data platforms. Experience supporting data governance, data quality, and data lifecycle management is a strong plus. Ability to collaborate with business and technical teams to define scalable data solutions. The actual salary offered is dependent on various factors including, but not limited to, location, the candidate's combination of job-related knowledge, qualifications, skills, education, training, and experience Due to the potential for involvement with U.S. aerospace programs and export-controlled environments, candidates who qualify as U.S. Persons are preferred. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, age, genetic information, or pregnancy. Please beware of job seeker scams and see this important notice on our careers page for more information about our recruiting process. Compliance Notice: Alten USA is a federal contractor subject to the requirements of the Vietnam Era Veterans' Readjustment Assistance Act (VEVRAA) and Executive Order 11246. We are an Equal Opportunity Employer and consider all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status. Drug Screening Requirement: As a federal contractor, Alten USA maintains a drug-free workplace. All candidates selected for employment will be required to successfully complete a pre-employment drug screening as a condition of hire.

Job Description Job Description Analytica is seeking an experienced Data Architect to design, implement, and optimize enterprise data solutions in support of federal government missions. The Data Architect will play a hands-on role in modernizing data environments, leveraging cloud-native technologies, Databricks, and advanced data engineering frameworks to ensure scalable, secure, and high-performing solutions. This role requires strong expertise in cloud platforms (AWS, Azure, GCP), big data ecosystems, and modern data architecture patterns , along with an ability to translate mission needs into technical solutions. Analytica has been recognized by Inc. Magazine as one of the fastest-growing 250 businesses in the US for 3 years. We work with U.S. government clients in health, civilian, and national security missions to build better technology products that impact our day-to-day lives. The company offers competitive compensation with opportunities for bonuses, employer-paid health care, training and development funds, and 401k match. Responsibilities include (but not limited to): Design and implement scalable data architectures for structured, semi-structured, and unstructured data. Lead the modernization of legacy data environments into cloud-based, big data platforms . Architect solutions leveraging Databricks, Spark, Delta Lake, and related big data technologies . Define and enforce data governance, data security, and metadata management practices in compliance with federal standards. Collaborate with government stakeholders, program managers, and development teams to ensure alignment with mission objectives. Develop data models, pipelines, APIs, and integration strategies across multiple data sources and platforms. Ensure architectures support analytics, AI/ML, and business intelligence use cases . Mentor data engineers and developers, promoting best practices in coding, design, and performance optimization. Support capture and proposal activities by shaping technical solutions and writing architecture content for bids. Basic Qualifications: Bachelor's degree in Computer Science, Engineering, Information Systems, or related field (Master's preferred). 8+ years of experience in data architecture, data engineering, or solution architecture , including at least 3 years with cloud-based solutions. Expertise in Databricks, Apache Spark, Delta Lake , and distributed data processing frameworks. Strong knowledge of AWS (Glue, S3, Redshift, EMR), Azure (Synapse, Data Lake, Purview), or GCP (BigQuery, Dataflow, Dataproc) . Experience designing data lakes, data warehouses, and streaming/real-time data architectures . Familiarity with federal data standards (e.g., FISMA, FedRAMP, CUI handling, data governance frameworks). Proficiency in SQL, Python, and big data query optimization. Must be US Citizen Must be able to obtain and maintain a Public Trust security clearance Preferred: Certifications in cloud platforms (AWS Certified Data Analytics, Azure Data Engineer, GCP Data Engineer). Experience supporting federal data modernization, digital transformation, or analytics programs . Familiarity with data governance tools (Collibra, Alation, Informatica, Purview). Exposure to AI/ML pipelines and MLOps in cloud environments About ANALYTICA: Analytica is a leading consulting and information technology solutions provider to public sector organizations supporting health, civilian, and national security missions. The company is an award winning SBA 8(a) small business that has been recognized by Inc. Magazine each of the past three years as one of the 250 fastest-growing companies in the U.S. Analytica specializes in providing software and systems engineering, information management, analytics & visualization, agile project management, and management consulting services. The company is appraised by the Software Engineering Institute (SEI) at CMMI Maturity Level 3 and is an ISO 9001:2008 certified provider. Analytica LLC is an Equal Opportunity Employer. We are committed to providing equal employment opportunities to all individuals, regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or any other characteristic protected by applicable federal, state, or local law. As a federal contractor, we comply with the Vietnam Era Veterans' Readjustment Assistance Act (VEVRAA) and take affirmative action to employ and advance in employment qualified protected veterans. We ensure that all employment decisions are based on merit, qualifications, and business needs. We prohibit discrimination and harassment of any kind. Analytica LLC also provides reasonable accommodations to applicants and employees with disabilities, in accordance with applicable law. To enhance efficiency, fairness, and accuracy, Analytica may use AI-assisted tools to support certain aspects of our hiring process. Application Review: AI tools may help identify skills and experiences relevant to the role. Interview Support: AI-powered notetaking tools may be used during interviews to document discussions and summarize key points. These tools are used to assist our team. All hiring decisions are made by Analytica recruiters and hiring managers. By submitting an application, you acknowledge that AI-assisted tools may be used to support parts of the application and interview process. When receiving email communication from Analytica, please ensure that the email domain is analytica.net to verify its authenticity. Powered by JazzHR 9lT172sxyp

Job Description Job Description Company Profile: CNPC USA is a subsidiary of China National Petroleum Company and serves as the North American headquarters. Our mission is to drive innovation through advanced research and development of next-generation technologies for oil and gas exploration and production. Job Summary: CNPC USA is seeking a highly experienced AI Solutions Architect to lead the design, prototyping, implementation, and integration of artificial intelligence, machine learning, generative AI, and industrial analytics solutions for oil and gas technology applications. This position is a key technical role responsible for translating open-ended business and technical challenges into scalable AI system architectures, decision-support tools, digital workflows, and production-ready analytical solutions. The ideal candidate will have advanced working knowledge of data analytics, modern machine learning algorithms, foundation models, large language models, vision-language models, small language models, optimization methods, operations research, and modern decision science. This role will work closely with subject-matter experts, product champions, product managers, designers, and software engineers to develop AI-enabled solutions that support CNPC USA technology development, product commercialization, and energy-domain digital transformation. Key Responsibilities: Conduct exploratory and undirected technology development to address open-ended AI/ML problems and questions in the energy domain. Participate in data science, artificial intelligence, machine learning, industrial analytics, decision science, and operations research initiatives. Develop, prototype, and evaluate solutions using modern deep learning methods, foundation models, generative AI, modern NLP, vision-language models, small language models, and time-series analytics. Research and assess next-generation technologies for inference, predictive modeling, general-purpose data-driven modeling, and optimization of complex systems. Engineer appropriate system-level AI solutions in collaboration with subject-matter experts, product champions, product managers, designers, and software engineers. Work with software engineering teams to integrate AI solutions into business workflows, cloud environments, data platforms, and production applications. Prototype end-to-end data solutions across multiple cross-functional teams in high-visibility roles. Generate innovative ideas, establish new technology development directions, and shape and execute technical projects from concept through deployment. Maintain state-of-the-art knowledge and contribute to technical discussions, architecture reviews, project reviews, and expert assessments in related areas of responsibility. Communicate sophisticated AI concepts, plans, recommendations, and results effectively to management, clients, technical stakeholders, and the broader business community. Prepare oral and written reports, presentations, technical memoranda, project documentation, and executive-level summaries. Work effectively with peers, management, operations groups, and outside organizations to advance technology development and deployment. Participate in relevant technical reviews and audits of projects as requested. Review, mentor, and coach junior team members while defining and promoting standards, best practices, reusable architectures, and lessons learned. Actively disseminate knowledge through webinars, talks, tutorials, technical communities, and internal training activities. Minimum Education & Experience Requirements: Master's degree in Operations Research, Industrial Engineering, Applied Mathematics, Computer Science, or a related STEM field, or foreign equivalent. Three (3) years of post-baccalaureate experience in the job offered or in any AI/data science-related job title. Applicants must have three (3) years of experience in each of the following: AI and data science in the decision science and operations research space using software implementation technology. Markov decision process methods and applications. Data mining for analytics and decision making. LLM-based generative AI solution development. Vision-language model and small language model system development. Modern NLP development in AI. Computational intelligence and non-convex optimization techniques. Time-series analysis techniques using statistics and AI. Applied mathematics and statistics. Cloud development tools and cloud environments for AI, data mining, and large-scale data systems. Optimization solver tools, including CPLEX. Programming languages and frameworks for modern AI and data science, including Python, R, TensorFlow, and PyTorch. Preferred Experience: Experience applying AI/ML, optimization, and decision science to oilfield, drilling, completion, reservoir, production, or other oil and gas related domains. Experience architecting end-to-end AI systems, including data pipelines, model development, model serving, evaluation, monitoring, and workflow integration. Experience with generative AI application patterns such as retrieval-augmented generation, domain-specific copilots, multimodal AI workflows, and human-in-the-loop decision support. Experience translating ambiguous business needs into technical roadmaps, architecture options, proof-of-concept demonstrations, and scalable implementation plans. Experience leading cross-functional technical discussions and mentoring engineers or data scientists on AI solution design and best practices. Physical Demands: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential job functions. While performing the duties of this job, the employee is regularly required to talk or hear. This is a sedentary role; however, some filing, bending and the ability to lift 20 lbs. is required. Travel: This position requires 5-10% domestic and international travel for internal workshops, project work sessions, technical workshops, conferences, and customer presentations. Local travel between other CNPC USA locations and testing or partner facilities may be required. Work Arrangement: Telecommuting is permitted less than 50% per week within the same geographic location as the assigned CNPC USA office location. Supervisory Responsibility: This position has no direct supervisory responsibilities; however, it does act as a mentor and technical point of contact for less experienced engineers, data scientists, and AI/ML team members. CNPC USA is an Equal Opportunity Employer (EOE). Qualified applicants are considered regardless of race, color, age, sex, sexual orientation, religion, disability, ethnicity, national origin, marital status, veteran status, or any other legally protected status. Disclaimer: The job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee. Other duties, responsibilities and activities may change or be assigned at any time with or without notice.

Job Description Job Description Benefits: 401(k) 401(k) matching Health insurance Paid time off Position Overview Stealth Solutions is seeking an experienced Data Architect to lead the enterprise data architecture and large-scale data modernization efforts supporting complex Federal digital transformation initiatives. This is a hands-on technical leadership role responsible for designing enterprise data architecture, developing migration strategies, and leading the transformation of large volumes of structured and unstructured data from legacy platforms into modern cloud-based solutions. The successful candidate will define enterprise data models, information architecture, migration frameworks, and governance standards while ensuring data integrity, quality, security, and long-term scalability. The ideal candidate has extensive experience modernizing legacy systems, migrating enterprise databases, documents, images, digital content, and metadata into modern cloud platforms while minimizing operational risk and maintaining data accuracy. Candidates must reside within the Washington, DC, Maryland, or Virginia (DMV) metropolitan area to support occasional onsite meetings. Key Responsibilities Lead enterprise data architecture supporting Salesforce Public Sector Solutions and cloud-based enterprise applications. Design conceptual, logical, and physical enterprise data models. Develop enterprise information architecture supporting structured and unstructured data. Architect and lead large-scale migration of structured data, documents, images, digital content, metadata, and historical records from legacy systems into modern cloud platforms. Define enterprise data migration strategies, migration waves, cutover planning, reconciliation, and rollback procedures. Design ETL/ELT processes, transformation logic, canonical data models, and data synchronization strategies. Establish enterprise data governance, metadata management, master data management, reference data management, and data quality standards. Define data validation, cleansing, deduplication, reconciliation, and quality assurance processes. Collaborate with application, integration, cloud, and DevSecOps teams to ensure successful migration and deployment activities. Partner with the MuleSoft Integration Architect to define API data contracts, enterprise integrations, and data exchange strategies. Design enterprise document and content migration strategies, including document metadata, file storage, indexing, searchability, retention, and archival. Ensure compliance with Federal security standards, privacy requirements, Zero Trust principles, records management, and enterprise data governance policies. Lead data architecture reviews, migration readiness assessments, and production cutover planning. Mentor developers and technical teams on enterprise data architecture and migration best practices. Required Qualifications U.S. Citizenship required. Bachelor's degree in Computer Science, Information Systems, Data Engineering, or related field. 8+ years of enterprise experience. 5+ years of hands-on experience leading enterprise data migration and modernization initiatives. Demonstrated experience migrating large volumes of structured and unstructured data from legacy systems to modern cloud platforms. Hands-on experience designing enterprise data models, migration frameworks, ETL/ELT processes, and data transformation strategies. Experience migrating enterprise documents, images, digital assets, metadata, and file repositories. Strong knowledge of relational databases, SQL, JSON, XML, REST APIs, and enterprise data architecture. Experience with Salesforce data architecture and cloud-based enterprise applications. Experience implementing enterprise data governance, master data management, metadata management, and data quality programs. Experience performing data profiling, reconciliation, validation, and migration testing. Experience supporting Agile software development and enterprise modernization programs. Excellent communication, analytical, and technical leadership skills. Preferred Qualifications Salesforce Data Architect certification. Salesforce Application Architect or System Architect certification. Experience with Salesforce Public Sector Solutions. Experience with Informatica, Data Cloud, Snowflake, Azure Data Factory, or comparable enterprise data platforms. Experience migrating enterprise content repositories and document management systems. Experience with OCR, intelligent document processing, metadata extraction, and enterprise search technologies. Experience supporting Federal cloud modernization initiatives. Experience with records management, digital archiving, and enterprise content management solutions. Flexible work from home options available.

Job Description Job Description About the Opportunity Complete Staffing has a client seeking a Data Architect to lead the design and continued evolution of its enterprise data architecture. This is a senior individual-contributor opportunity for an experienced data professional who can bridge data architecture, cloud analytics, SQL Server, data governance, and business intelligence. The ideal candidate will help establish the standards and architecture that data engineers, analysts, and financial reporting teams use to build scalable, secure, and reliable data solutions. The environment includes a modern Microsoft Fabric analytics platform utilizing a Bronze/Silver/Gold medallion architecture, along with a significant on-premises SQL Server environment supporting core transactional workloads. You will help define how data moves from systems such as Dynamics 365 F&O, SQL Server, APIs, and flat files into Microsoft Fabric and OneLake, how it is transformed and modeled, and how it ultimately supports trusted Power BI reporting and analytics. This role offers the opportunity to have significant influence over the organization's long-term data strategy while remaining hands-on with architecture and technology. What You'll Do Enterprise Data Architecture Own and evolve the organization's target-state data architecture across Microsoft Fabric and on-premises SQL Server. Establish architectural standards for determining which workloads should remain on-premises, move to the cloud, or operate in a hybrid model. Define and maintain the organization's Bronze, Silver, and Gold data architecture standards. Design logical and physical data models, dimensional models, and enterprise data structures. Maintain and improve the enterprise data model, business glossary, and data dictionary. Create reference architectures, technical standards, and architecture decision records. Review significant data designs and provide architectural guidance before development begins. Partner with technical and business stakeholders to translate organizational goals into scalable data solutions. Hybrid & On-Premises Data Integration Design integration strategies between SQL Server and Microsoft Fabric. Determine the appropriate integration approach based on data volume, latency, performance, complexity, and cost. Establish strategies for change data capture (CDC), incremental loading, and data watermarking. Design solutions that keep cloud data current while protecting the performance and stability of transactional systems. Partner with database and data engineering teams on high availability, disaster recovery, retention, and archival strategies. Establish standards around SQL Server database design, indexing, partitioning, and performance. Microsoft Fabric Architecture Design Microsoft Fabric tenant, workspace, and capacity architecture. Establish development, testing, and production promotion processes across data, financial analytics, and business reporting environments. Define clear ownership boundaries between IT, FP&A, and business reporting teams. Establish Direct Lake as the preferred Power BI connectivity approach while determining when Import or DirectQuery may be appropriate. Develop standards for source control and deployment using Git and Azure DevOps. Establish best practices for Fabric pipelines, notebooks, semantic models, SQL objects, and other data assets. Monitor platform performance, capacity utilization, and cost, and identify opportunities for optimization. Data Governance, Security & Quality Establish data security standards across the Bronze, Silver, and Gold layers. Partner with security and data governance teams to ensure appropriate access controls and data protection. Support implementation and use of Microsoft Purview for data cataloging, lineage, classification, and governance. Establish data quality and reconciliation standards to ensure reporting data can be traced back to source systems. Help establish standards around promoted and certified Power BI datasets and semantic models. Partner with stakeholders to improve confidence, consistency, and trust in enterprise data. AI & Emerging Data Capabilities Help establish the data foundation needed to support AI, analytics, and agent-based applications. Design structured and unstructured data access patterns for use cases such as Copilot Studio and Retrieval-Augmented Generation (RAG). Evaluate emerging database and data platform capabilities, including vector search, semantic search, and in-database embeddings. Identify practical opportunities where AI and advanced data capabilities can create measurable business value. Collaboration & Mentorship Serve as a technical resource and mentor for data engineers, analysts, and financial reporting teams. Establish and promote strong data modeling and architecture practices. Collaborate with Software Architecture, Infrastructure, Security, Data Governance, FP&A, and business stakeholders. Communicate complex technical concepts clearly to both technical and executive audiences. Provide architectural leadership without requiring direct people management. What We're Looking For Required Qualifications Bachelor's degree in Computer Science, Information Systems, Data Management, or a related field. 5+ years of experience designing and delivering enterprise data solutions. At least 2 years of experience in a data architecture, lead data engineering, or similar senior technical role. Experience designing modern cloud analytics or data platforms. Strong Microsoft Fabric experience preferred; experience with Synapse, Databricks, or comparable lakehouse technologies will also be considered. Strong hands-on experience with SQL Server and T-SQL, including database design, indexing, partitioning, and performance tuning. Strong understanding of dimensional modeling, star schemas, medallion architecture, and ETL/ELT design. Experience integrating on-premises data sources with cloud data platforms. Experience with CDC, incremental loading, and data integration patterns. Working knowledge of Power BI semantic models, DAX, and row-level security. Experience with Python or PySpark for data transformation and large-scale data processing. Experience using Git and Azure DevOps for data and development assets. Strong communication and collaboration skills with the ability to work across technical and business teams. Preferred Qualifications Microsoft certification such as: Microsoft Certified: Fabric Analytics Engineer Microsoft Certified: Fabric Data Engineer Azure Solutions Architect Expert Experience with Dynamics 365 Finance & Operations (F&O) data structures and integrations. Experience with Microsoft Purview. Experience supporting FP&A, financial reporting, or enterprise finance data. Knowledge of General Ledger, cost center, allocation, or similar financial data models. Experience participating in architecture review boards or enterprise technology governance initiatives. Experience in construction, specialty contracting, or another project-based industry. Kansas City metro area resident preferred. This position is not eligible for visa sponsorship.

Job Description Job Description Convene Hospitality Group (CHG) operates a global portfolio of lifestyle brands focused on creating places and experiences that bring people together. The company designs, develops, and operates hospitality-driven destinations to host gatherings of all kinds, ranging from small corporate meetings to immersive brand activations and beyond. We love bringing people together in person, and that passion for great experiences extends to our employees as well. If you're interested in creating inspiring moments of connection, consider joining our team. Data Platform Lead We're hiring a hands-on Data Platform Lead, to join Convene Hospitality Group's (CHG) Technology organization.You'll own our data platform end to end, from architecture to how we model the business, and you'll manage the analytics engineers who build on it. Data platform modernization and AI-first development are top priorities, and this role sits at the center of both, working hand in hand with the product engineers whose systems create much of our data. Today, our marts mostly mirror the systems they come from. Salesforce data looks like Salesforce, NetSuite data looks like NetSuite. You'll reshape our models around how the business runs, organized by domain, and layer governed dashboards and conversational analytics on top. In one year, a finance lead, a venue GM, and an AI agent should all be able to ask a question in plain language and get the same trusted answer. Today we run Snowflake, dbt, and Fivetran. You'll help us rearchitect for where CHG is headed: building on Snowflake's native capabilities (semantic views, Cortex, and its agent tooling), rolling out ThoughtSpot, and filling gaps like observability. This is a hands-on management role, open to first-time managers. If you've led as a tech lead, mentored engineers, or directed contractors, you'll get direct coaching from a VP of Engineering who develops first-time leaders. Experienced managers who still want to build are welcome too. What You'll Do: Own the data platform end to end. Architecture, reliability, and roadmap from source to decision across Snowflake, dbt, and Fivetran. Move platform configuration from the UI into Terraform, in coordination with Cloud Infrastructure, so warehouses, roles, grants and connectors are versioned, reviewed and reproducible. Rethink how we model the business. Move us from source-shaped marts to domain-oriented models built around how CHG runs. Set the modeling standards, naming conventions and review practices the team builds on. Work backward from the business question. Partner with Finance, Sales, Operations and venue leadership to turn the questions they need answered into models, metrics and definitions they trust. Partner closely with product engineering. Work with product squads on schema design, data contracts, and upstream changes, so the platform and products evolve together. Own data quality and observability. Set the testing standards, contracts, and reconciliation checks that make our numbers trustworthy, and alert an owner before a stakeholder finds a broken dashboard. Own the metrics and BI layer. Roll out our BI tool and build the semantic layer behind governed dashboards in Snowflake semantic views, with certified metrics and shared definitions, so a number means the same thing everywhere it shows up. Bring conversational analytics online, safely. Stand up natural-language querying and agents on Snowflake's native tools, with the evals and guardrails that keep agent, dashboard, and human answers in sync. Govern the data. Access control, PII handling and accessible documentation across analytics and AI. Lead and grow analytics engineering. Manage and hire our analytics engineers, and direct the contractors we work with today. Coach through code review, pairing, and clear expectations. Keep your hands on the keyboard. Write dbt models, review PRs, debug pipelines and prototype new approaches. Expect to build a lot, especially early on. What We Look For: You have 7+ years in data engineering, analytics engineering or data architecture, including building a modern data platform that people rely on in production. You use AI agents for real multi-step work: building models, writing tests, debugging pipelines and documenting what exists. You write clear specs, give agents the right context, and verify what they produce against the real system. You're deep on dbt and Snowflake. You've designed project structure, testing strategy and warehouse performance at scale, and you manage the platform as code with Terraform or similar. You're fluent in data modeling and have moved a team from source-shaped models to business-shaped, domain-oriented marts, then seen the change through to adoption. You've built data quality and observability practices: tests, contracts, freshness monitoring and alerting that people trust. You've built a semantic layer and governed metrics that people trust, and you understand what it takes to make natural-language and agent-driven analytics accurate. You've worked with managed ingestion like Fivetran and know where it fits and where it breaks. You've led beyond your own work: as a tech lead on a multi-person project, mentoring engineers, running interview loops, or directing contractors or vendors. You explain clearly to engineers and non-engineers. You can walk an analyst through a modeling decision and a CFO through a metric definition. You're high agency. You set direction without waiting for a spec, make architecture calls, and write down your reasoning. Bonus Points You've rolled out ThoughtSpot or another search-driven BI tool. You've unleashed an autonomous agent in the wild, and built the fencing, monitoring and improvement loop around it. You've modeled data from Salesforce, NetSuite or HRIS platforms. You've prepared data for AI use cases: retrieval, agents or feature pipelines. You've worked in hospitality, events, real estate or another customer-centric, multi-location business. Compensation: The above job definition information has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities, and qualifications required of employees assigned to this job. Job duties and responsibilities are subject to change based on changing business needs and conditions. Base Salary Range: $180,000 - $200,000 Total Target Compensation: $198,000 - $220,000 (includes base salary + annual incentive performance bonus) This information reflects the anticipated base salary range for this position based on current national data. Minimums and maximums may vary based on location. Individual pay is based on skills, experience and other relevant factors. We're Here For You: At Convene Hospitality Group, we want you to feel supported in every part of your life. Here's what you can expect: Health & Wellness: Day-one health coverage for you and your family, 24/7 virtual care, emotional well-being support, and fertility & family planning benefits. Because your well-being matters, inside and outside of work. Time Off & Balance: Generous PTO, your birthday off (because, of course!), paid parental leave, and a year-end holiday closure to recharge. Financial Growth: 401K with company match and support for education, courses, and certifications. We invest in you so you can grow personally and professionally. Development & Recognition: Ongoing career growth opportunities plus recognition programs to celebrate milestones. Community & Impact: Volunteer and give-back opportunities, and the chance to make a real impact in the work you do. At Convene Hospitality Group, we believe great teams are built by bringing together people with different backgrounds, perspectives, and experiences. Our values of GRIT (Genuine, Relentless, Integrity, and Teamwork) shape how we show up for each other every day. We want everyone here to feel welcome, supported, and free to be themselves. If you're excited to grow, learn, and make an impact, we'd love to have you on the team. Convene Hospitality Group is proud to be an equal opportunity employer. We welcome applicants of all backgrounds, experiences, and perspectives.

Job Description Job Description Tiger Analytics is pioneering what AI and analytics can do to solve some of the toughest problems faced by organizations globally. We develop bespoke solutions powered by data and technology for several Fortune 100 companies. We have offices in multiple cities across the US, UK, India, and Singapore, and a substantial remote global workforce. If you are passionate about leading large-scale cloud and data modernization initiatives that transform enterprise platforms, we would love to hear from you. We are seeking an experienced and dynamic professional to play a key role in assessing, planning, and driving enterprise migration programs across data, applications, and cloud platforms. This role will help clients modernize their technology landscape, optimize legacy systems, and enable scalable, cloud-native architectures aligned with business goals. The Data Architect will support enterprise data initiatives by designing and delivering scalable, modern data architecture solutions with a primary focus on canonical data modeling, semantic data mesh, and real time streaming architectures using Kafka. This role drives alignment across business domains and enables high quality, governed, and interoperable data for analytics and operational use cases. Responsibilities: Develop and enhance canonical data models, semantic models, and domain driven data contracts to enable cross enterprise data interoperability. Produce conceptual, logical, and physical data models aligned to business capabilities, modernization goals, and data mesh principles. Design and implement data architecture patterns to support real time streaming solutions using Kafka. Partner with product owners, domain architects, and data engineering teams to translate business needs into scalable, well governed data models. Ensure consistent application of data governance, metadata management, and lineage standards across data domains. Architect and optimize data pipelines and storage solutions using AWS (S3, Redshift, Glue, EMR, Lambda) and Snowflake. Contribute architectural artifacts, modeling standards, and reusable templates for enterprise data modeling. Support enterprise initiatives around real time data integration, semantic mesh, and AI/ML enablement through strong data architecture foundations. Requirements Significant experience with canonical data modeling and enterprise wide conceptual/logical/physical modeling. Strong background in semantic modeling and data mesh design principles. Hands on experience with Kafka, including event modeling, schema strategy, and real time pipeline architecture. Proficiency in AWS data services (S3, Redshift, Glue, EMR, Lambda, EC2) and Snowflake. Strong understanding of ETL/ELT design, data integration patterns, and distributed data systems. Familiarity with data governance, data quality, metadata, and lineage frameworks. Strong SQL skills and proficiency in at least one programming language (Python preferred). Excellent communication skills with the ability to work across technical and business teams. Hands on experience with enterprise data catalog and metadata systems. AWS certification (Solutions Architect, Data Analytics Specialty, etc.) Benefits Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging, and entrepreneurial environment, with a high degree of individual responsibility. Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

Job Description Job Description Tiger Analytics is pioneering what AI and analytics can do to solve some of the toughest problems faced by organizations globally. We develop bespoke solutions powered by data and technology for several Fortune 100 companies. We have offices in multiple cities across the US, UK, India, and Singapore, and a substantial remote global workforce. If you are passionate about leading large-scale cloud and data modernization initiatives that transform enterprise platforms, we would love to hear from you. We are seeking an experienced and dynamic professional to play a key role in assessing, planning, and driving enterprise migration programs across data, applications, and cloud platforms. This role will help clients modernize their technology landscape, optimize legacy systems, and enable scalable, cloud-native architectures aligned with business goals. The Data Architect will support enterprise data initiatives by designing and delivering scalable, modern data architecture solutions with a primary focus on canonical data modeling, semantic data mesh, and real time streaming architectures using Kafka. This role drives alignment across business domains and enables high quality, governed, and interoperable data for analytics and operational use cases. Responsibilities: Develop and enhance canonical data models, semantic models, and domain driven data contracts to enable cross enterprise data interoperability. Produce conceptual, logical, and physical data models aligned to business capabilities, modernization goals, and data mesh principles. Design and implement data architecture patterns to support real time streaming solutions using Kafka. Partner with product owners, domain architects, and data engineering teams to translate business needs into scalable, well governed data models. Ensure consistent application of data governance, metadata management, and lineage standards across data domains. Architect and optimize data pipelines and storage solutions using AWS (S3, Redshift, Glue, EMR, Lambda) and Snowflake. Contribute architectural artifacts, modeling standards, and reusable templates for enterprise data modeling. Support enterprise initiatives around real time data integration, semantic mesh, and AI/ML enablement through strong data architecture foundations. Requirements Significant experience with canonical data modeling and enterprise wide conceptual/logical/physical modeling. Strong background in semantic modeling and data mesh design principles. Hands on experience with Kafka, including event modeling, schema strategy, and real time pipeline architecture. Proficiency in AWS data services (S3, Redshift, Glue, EMR, Lambda, EC2) and Snowflake. Strong understanding of ETL/ELT design, data integration patterns, and distributed data systems. Familiarity with data governance, data quality, metadata, and lineage frameworks. Strong SQL skills and proficiency in at least one programming language (Python preferred). Excellent communication skills with the ability to work across technical and business teams. Hands on experience with enterprise data catalog and metadata systems. AWS certification (Solutions Architect, Data Analytics Specialty, etc.) Benefits Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging, and entrepreneurial environment, with a high degree of individual responsibility. Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

Standard Job Description What We're Doing The coolest jobs on this planet or any other are with Lockheed Martin! At Lockheed Martin Rotary and Mission Systems in Owego, NY, we build mission-critical software and advanced technologies that solve complex problems and make a real-world impact. Here, experienced engineers have the opportunity to influence what gets built and where technology goes next. The Work As a Level 4 Staff Software Engineer, you'll lead complex software efforts, influence technical direction, and help turn ambitious ideas into real capabilities. You'll have the opportunity to: Lead software development from requirements and design through integration and test. Design and develop solutions for complex mission-critical systems. Resolve challenging issues involving architecture, interfaces, performance, and integration. Influence technical approaches, architecture, and future product capabilities. Collaborate across software, systems, hardware, test, and program teams. Mentor engineers and share technical expertise. Contribute to technology development and future programs. Own complex technical problems and help drive them to completion. Who We Are Owego brings together talented engineers across software, systems, hardware, and test. We tackle challenges that require creativity, collaboration, and serious technical expertise. Who You Are You're an experienced software engineer who wants more than a task list. You're ready to own complex problems, influence decisions, mentor others, and help shape technical direction. You're curious, collaborative, and always looking for a better way to build something. Why Join Us Solve problems that don't have easy answers. Work with talented engineers. Build technology that matters. At Lockheed Martin, you'll have the opportunity to grow your technical influence, shape future capabilities, and build software with purpose. Own the challenge. Influence what's next. Build something that matters Basic Qualifications Computer Engineering, Computer Science, Software Engineering, or related degree with 9 years or more of professional experience; or 7 year of professional experience with a related Masters degree. Embedded development experience Background with software architecture and design Ability to obtain and maintain security clearance to at least the Secret level. Experience developing embedded software solutions in C or C++ within an RTOS Desired Skills Integrating new software on new hardware Ability to multi-task, track/report earned value, and understand/support Integrated Master Schedules (IMS) baselining Understanding of open architectures & modular design Agile software development experience (e.g. Scrum) Background using process tools (Jira, Confluence, Bitbucket, git) Experience with Device driver development Experience with LynxOS RTOS Experience with Test Driven Development, unit testing, and automated test DevSecOps experience and/or knowledge Active Secret Clearance DO-178C Safety Critical Experience Pay Information Full-Time Salary Range: $120600.00 - $224000.00 At Lockheed Martin, we know mission success starts with taking care of our people. Our Total Rewards program is designed to attract top talent, support your well-being, and help you grow-both professionally and personally. The salary range for this position is as listed on the requisition. Please note that the salary information listed is a general guideline only. Lockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills as well as market(work location) and business considerations when extending an offer. Benefits offered: Medical, Dental, Vision, Flexible work arrangements and schedules (e.g., 4x10), 401(k) match, Paid time off, Holidays, Parental Leave, EAP, Flexible Spending Accounts, Education Assistance, Life Insurance, Short-Term Disability, and Long-Term Disability. Annual short-term and/or long-term incentive compensation programs may be offered depending on the position. Payments under these annual programs are not guaranteed and can vary from year to year and are tied to a range of performance metrics. For (Washington state applicants only) Non-represented full-time employees: accrue at least 10 hours per month of Paid Time Off (PTO) to be used for incidental absences and other reasons; receive at least 90 hours for holidays. Represented full time employees accrue 6.67 hours of Vacation per month; accrue up to 52 hours of sick leave annually; receive at least 96 hours for holidays. PTO, Vacation, sick leave, and holiday hours are prorated based on start date during the calendar year.

Standard Job Description What We're Doing At Lockheed Martin Rotary and Mission Systems (RMS) in Owego, NY, we develop advanced mission systems and electronics for defense and aerospace applications. Our teams create capabilities across advanced processing, radar, electronic warfare, communications, and avionics. The Work As an Electrical Engineer Level 3, you will independently design, develop, integrate, and test electrical and electronic systems. You will own significant portions of engineering work while collaborating across disciplines to deliver reliable solutions for advanced mission systems. You will: Design and develop electrical and electronic systems and subsystems. Develop and release schematics, drawings, analyses, and technical documentation. Perform circuit and system analysis, troubleshooting, and design reviews. Support power distribution, electrical interfaces, signal integrity, and system integrationLead prototype bring-up, integration, and testing activities. Collaborate with systems, mechanical, software, manufacturing, and test organizationsInvestigate complex technical issues and develop practical engineering solutions. Support advanced processing, radar, electronic warfare, communications, and avionics technologiesProvide technical guidance to less-experienced engineers. Please note: This position is based out of Owego, NY, requires ability to travel up to 10%. This position requires the ability to obtain and maintain a DoD government clearance at the Secret level. Who We Are RMS delivers mission-critical capabilities across multiple domains. Owego is a major engineering center supporting sophisticated sensors, processing, mission systems, and electronic technologies. Who You Are You are an experienced electrical engineer who enjoys owning challenging technical work and taking designs from requirements through integration and test. You also: Have strong experience in electrical or electronic system design Understand analog and digital circuit design and analysis Have experience with electrical interfaces, integration, troubleshooting, and testingCan independently investigate and resolve technical problems Communicate effectively across multidisciplinary teams Are capable of obtaining and maintaining a Secret-level security clearance Why Join Us Own meaningful electrical engineering work supporting advanced RMS mission systems. Expand your technical expertise, build leadership skills, and work alongside engineers solving complex challenges. Enjoy competitive compensation, PTO, 401(k), relocation assistance, and life in Owego, NY. Basic Qualifications -Bachelors degree from an accredited college in a related discipline, or equivalent experience of 5+ years. -Experience with digital circuit / logic design (schematic creation), processor design & architecture. -Ability to obtain and maintain a DoD government clearanct at the secret level. Desired Skills -Masters from an accredited college in Computer Engineering or Electrical Engineering. -Experience in designing Aero-Defense Industry compliant designs (For example: DO-254, DO-178, SOSA). -Project and team leadership experience. -Excellent oral and written communication skills are required. Pay Information Full-Time Salary Range: $85300.00 - $158300.00 At Lockheed Martin, we know mission success starts with taking care of our people. Our Total Rewards program is designed to attract top talent, support your well-being, and help you grow-both professionally and personally. The salary range for this position is as listed on the requisition. Please note that the salary information listed is a general guideline only. Lockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills as well as market(work location) and business considerations when extending an offer. Benefits offered: Medical, Dental, Vision, Flexible work arrangements and schedules (e.g., 4x10), 401(k) match, Paid time off, Holidays, Parental Leave, EAP, Flexible Spending Accounts, Education Assistance, Life Insurance, Short-Term Disability, and Long-Term Disability. Annual short-term and/or long-term incentive compensation programs may be offered depending on the position. Payments under these annual programs are not guaranteed and can vary from year to year and are tied to a range of performance metrics. For (Washington state applicants only) Non-represented full-time employees: accrue at least 10 hours per month of Paid Time Off (PTO) to be used for incidental absences and other reasons; receive at least 90 hours for holidays. Represented full time employees accrue 6.67 hours of Vacation per month; accrue up to 52 hours of sick leave annually; receive at least 96 hours for holidays. PTO, Vacation, sick leave, and holiday hours are prorated based on start date during the calendar year.

Standard Job Description What We're Doing At Lockheed Martin Rotary and Mission Systems (RMS) in Owego, NY, we're developing mission-critical embedded software and advanced computing solutions for complex defense and aerospace systems. Our software supports safety-critical avionics, mission computers, embedded processing, and secure systems where reliability and performance matter. The Work - Software Engineer Sr Provide technical leadership and contribute to the full software lifecycle for secure embedded processing solutions, guiding a multidisciplinary team of software and FPGA/firmware engineers from concept through delivery. Key Responsibilities Lead/co ordinate a cross disciplinary team to plan, integrate, and deliver embedded processing capabilities. Own the full software lifecycle: requirements, design, implementation, integration, verification, and sustainment. Develop and maintain C++ code for secure embedded applications. Write low level software that interfaces with hardware, FPGA/firmware, and protocols (PCIe, SPI, I C). Support hardware/software integration, system bring up, and lab debugging. Manage technical dependencies between Software and FPGA/Firmware teams. Produce estimates, schedules, milestones, and work products; track and report engineering metrics. Communicate status, risks, and recovery plans to leadership and customers. Apply Earned Value Management (EVM) and Cost Account Management (CAM) for program forecasting. Identify & mitigate technical, schedule, resource, and integration risks. Maintain/expand CI/CD pipelines for secure software delivery. Collaborate with systems, hardware, test, cyber, and program management teams to deliver prototypes and production ready systems. Ensure solutions meet security, reliability, performance, quality, and program requirements. Mentor junior engineers and contribute to process improvements. Please Note Full time, onsite in Owego, NY (classified environment). U.S. citizenship required; active DoD Secret clearance (must be maintainable). Who We Are RMS Owego brings together software, systems, hardware, and integration expertise to develop advanced mission solutions. Our engineers work with real mission hardware in onsite laboratories, taking software from architecture and design through integration and test. Who You Are An experienced embedded software engineer who can lead multidisciplinary engineering efforts and thrive at the hardware software interface. You enjoy tackling complex problems, collaborating across engineering domains, and taking ownership of significant technical challenges. You communicate clearly, apply sound engineering judgment, and deliver robust solutions. Hands on experience with embedded software-particularly C/C++, FPGA software development, and hardware/software integration-is highly valued. Why Join Us At Lockheed Martin, you'll work alongside experienced engineers on technology with real-world mission impact while continuing to grow your technical expertise. We offer flexible schedules, including 4x10 and Flex Time, comprehensive benefits, career development and mentorship, and hands-on opportunities from early development through laboratory integration and testing. For more details and other opportunities, visit the Lockheed Martin Owego Jobs page. Basic Qualifications Bachelor's Degree in a STEM (Science, Technology, Engineering, or Math) field from an accredited institution with 5 years of professional experience, or Master's degree in a related field with 3 years of professional experience. Proficiency in C++. Experience developing embedded systems-level software, including low-level or hardware-near applications. Experience with embedded Linux development and system bring-up. Experience working with hardware communication protocols such as PCIe, SPI, and I2C. Demonstrated experience leading or coordinating technical activities across a cross-functional engineering team. Active DoD Secret security clearance with the ability to maintain the clearance. Willingness to work in a classified environment. Desired Skills Experience leading multidisciplinary development teams spanning Software and FPGA/Firmware. Experience with Earned Value Management (EVM) and/or Cost Account Management (CAM). Experience developing and tracking engineering estimates, schedules, milestones, and technical performance metrics. Experience gathering and reporting metrics for Agile stories, work packages, milestones, and program deliverables. Experience communicating technical status, risks, issues, and recovery plans to customers and program leadership. Experience with software development in Bare-Metal C/C++ for low-level or hardware-near applications. Experience developing software test plans, procedures, and documentation supporting software verification. Experience supporting integration and verification efforts for embedded platforms. Experience with FPGA/Firmware development, integration, or verification. Experience with hardware/software co-design and hardware/software integration. Experience with CI/CD pipelines and automated software build, test, and deployment environments. Experience working in secure, classified, regulated, or safety-critical development environments. Experience with Agile development methodologies and tools for planning and tracking technical work. Strong technical communication, collaboration, and mentoring skills. Experience identifying and managing technical, schedule, cost, and integration risks. Experience presenting technical status and program metrics to customers and senior leadership. Pay Information Full-Time Salary Range: $98100.00 - $182100.00 At Lockheed Martin, we know mission success starts with taking care of our people. Our Total Rewards program is designed to attract top talent, support your well-being, and help you grow-both professionally and personally. The salary range for this position is as listed on the requisition. Please note that the salary information listed is a general guideline only. Lockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills as well as market(work location) and business considerations when extending an offer. Benefits offered: Medical, Dental, Vision, Flexible work arrangements and schedules (e.g., 4x10), 401(k) match, Paid time off, Holidays, Parental Leave, EAP, Flexible Spending Accounts, Education Assistance, Life Insurance, Short-Term Disability, and Long-Term Disability. Annual short-term and/or long-term incentive compensation programs may be offered depending on the position. Payments under these annual programs are not guaranteed and can vary from year to year and are tied to a range of performance metrics. For (Washington state applicants only) Non-represented full-time employees: accrue at least 10 hours per month of Paid Time Off (PTO) to be used for incidental absences and other reasons; receive at least 90 hours for holidays. Represented full time employees accrue 6.67 hours of Vacation per month; accrue up to 52 hours of sick leave annually; receive at least 96 hours for holidays. PTO, Vacation, sick leave, and holiday hours are prorated based on start date during the calendar year.