35 jobs found

DCS has an exciting opportunity for a Senior AOC Operations & Technology Program Manager providing support to the Command, Control, Communications (C3C)/Kessel Run division. Kessel Run is revolutionizing how the United States Air Force develops, deploys, and operates mission-critical software. We are seeking an experienced AOC Operations & Technology Program Manager to serve as the critical bridge between commercial airline operations control practices and military Air Operations Center (AOC) modernization. This is a full-time remote position. Position Contingent upon Contract Award Essential Job Functions: In this role, you will leverage deep commercial airline industry expertise-specifically from Airline Operations Control Centers (OCC / NOCC)-to advise and guide software product teams, operational leaders, and system architects. You will help translate battle-tested commercial concepts such as Collaborative Decision Making (CDM), real-time disruption management, automated flight dispatch, and predictive resource allocation into modern, cloud-native command and control (C2) software capabilities for the warfighter. Duties include, but not limited to: Commercial Aviation Practices & Operational Strategy Champion the adoption of proven commercial airline Operations Control Center (OCC) processes, metrics, and workflows across Air Operations Center functional areas. Introduce and adapt commercial Collaborative Decision Making (CDM) frameworks and Air Traffic Management (ATM) flow strategies to military airspace planning and dynamic air tasking. Advise leadership on modern disruption management (irregular operations / IROP) models, crew/fleet recovery algorithms, and slot management concepts to improve operational resilience and sortie execution. Product Roadmapping & Technology Modernization Partner closely with product managers, software engineers, and user-experience (UX) designers to translate operational pain points into clear user stories, functional requirements, and product roadmaps. Facilitate user-centered design sessions and workflow mapping between operational controllers, planners, and software development teams within an agile/DevSecOps development cycle. Evaluate emerging commercial off-the-shelf (COTS) airline software, optimization solvers, and cloud architectures to determine feasibility for integration into modern AOC software suites. Operational Metrics & Performance Optimization Establish and monitor data-driven operational KPIs modeled after commercial aviation standards (e.g., departure punctuality, turnaround time optimization, asset utilization, and fuel/route efficiency). Utilize operational telemetry and user feedback to identify planning bottlenecks, track system adoption, and quantify the operational impact of newly deployed software features. Oversee capacity planning and operational modeling to support both day-to-day operations and surge tasking requirements. Stakeholder Collaboration & Change Management Serve as the primary operational liaison between software product teams, operational military leadership, acquisition authorities, and industry technology partners. Drive change management initiatives that help traditional operations teams transition smoothly from legacy monolithic software and paper-based tracking to automated, cloud-based applications. Prepare operational impact analyses, technical white papers, and business cases to justify modernization investments. Travel may be required at the customer's discretion up to 25%. Position Contingent upon Contract Award Required Skills: Due to the sensitivity of the customer, U.S. citizenship is required. Must be able to obtain a Secret Clearance. Bachelor's Degree in a related field in the respective technical/professional discipline being performed plus 12 years of experience. 5+ years of operational management experience within a major commercial airline, air cargo carrier, or airline operations technology provider. OCC / Dispatch Background: Direct experience operating within or building technology for a commercial Network Operations Control Center (NOCC/OCC), Flight Dispatch, or Integrated Operations Center. Aviation Domain Knowledge: Comprehensive understanding of flight operations, dispatch workflows, slot and flow management, disruption recovery (IROP), and crew/aircraft schedule optimization. Leadership & Change Management: Demonstrated experience leading cross-functional teams, managing complex technical programs, and championing process change across operational workgroups. Desired Skills: Commercial Aviation Software: Hands-on experience with modern airline operations software platforms (e.g., Sabre, Jeppesen, Amadeus, NAVBLUE, Carmen, or custom cloud-based OCC tooling). Collaborative Decision Making (CDM): Working knowledge of FAA/Eurocontrol CDM programs, System Wide Information Management (SWIM), or Ground Delay Programs (GDP). Agile / Software Factory Experience: Experience working inside an Agile/Scrum software development environment, product management discipline, or DevSecOps product team. Military / Defense Familiarity: Familiarity with USAF Air Operations Centers (AOC), Air Tasking Orders (ATO), or joint airspace coordination is a plus, but not required. Interpersonal Skills Strong written and verbal communication skills Ability to develop and present briefings to senior leadership Strong analytical and organizational skills Ability to manage multiple priorities in a fast-paced acquisition environment Ability to work independently and collaboratively within Government and contractor teams Pay Range and Benefits: There are a variety of factors that can influence salary at DCS Corp, including but not limited to, geographic location, Federal Government contract labor categories and wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. The proposed salary range for this position is: Salary Range: $90,220 - $200,000 At DCS, we pride ourselves on providing flexibility that allows employees to balance meaningful work with their personal lives. We offer competitive compensation, benefits, and opportunities for learning and development. Our broad and competitive mix of benefits is designed to support and protect employees and their families. Our robust benefit offerings include medical, dental, 401k, ESOP, PTO, education reimbursement, work/life balance, parental and other leave programs. Learn more about our benefits here: DCS Corp Benefits.

At Credit Acceptance, we are building on the foundation of a successful business while investing in the future through technology, data, AI, and continuous improvement. As we continue to evolve, our Team Members play an active role in improving experiences, driving meaningful change, and shaping the future of our business. We foster an environment where people are empowered to contribute ideas, develop their careers, make an impact, and help lead our continued transformation. Our Engineering teams are helping shape the future of Credit Acceptance through innovation. Team Members collaborate across the organization to solve complex challenges, build impactful solutions, challenge the status quo, and support informed business decisions. We value curiosity, continuous learning, and new ideas from people who are passionate about driving modernization and meaningful business impact. Outcomes and Activities: Design, build and continuously improve cloud-native Java 21 / Spring Boot services on AWS, using AI coding agents as everyday tools while owning the correctness, security and maintainability of every change Practice spec-driven development: start each behavior change from a written spec with acceptance criteria and requirement IDs, ship the spec with the code, and back it with automated unit, integration and consumer/provider contract tests (e.g., Pact) that block the merge when they fail Lead incremental modernization of Consumer 360 systems: upgrade Java 11 / Spring Boot 2 services to current runtimes, move ActiveMQ integrations to managed, event-driven messaging, and migrate on-premises workloads and databases to AWS, using facades, side-by-side comparison and safe cutover rather than big-bang rewrites Author, apply and advocate for team coding, documenting and testing standards Conduct impact analysis to proactively identify impact of a change across multiple applications Learn the business process domain to better support the business and align technologies with the business process Experiment and test ideas, validate assumptions against needs, reach conclusions and recommend solutions Lead code reviews and communicate application changes Document systems so both people and AI agents can build, test, run and safely change them: READMEs, agent instruction files (e.g., AGENTS.md), API and event specs, and short decision records for significant design choices Debug the problems which arise in production and propose effective solutions within the application and across multiple applications Read, write and review design documents Own delivery flow end to end: measure and shorten requirement-to-production time by removing bottlenecks in specs, reviews, environments, pipelines and cross-team dependencies Lead continuous learning activities to improve design and code quality as well as to increase application domain knowledge Participate in the talent selection process Act as a mentor to guide and review the code, designs and documentation of less experienced software engineers Design, build, evaluate and operate production AI agents on AWS (Amazon Bedrock AgentCore, Spring AI), and expose customer context to other teams' agents through secure, versioned APIs and governed agent tools (e.g., MCP), with guardrails, offline and online evaluations, observability, cost controls and human review where customer impact requires it Lead the team's AI-assisted delivery model from written spec through deployment: evolve its agentic workflows, keep human approval gates, and measure success by quality and lead time rather than tool usage Competencies: The following items detail how you will be successful in this role. Customer Empathy: Customer Empathy is the ability to understand the perspectives, pain points, and experiences of customers. It involves actively putting oneself in the customer's shoes, comprehending their needs and challenges, and using that understanding to provide a better, more customer-centric experience. Engineering Excellence: Engineering Excellence is about bringing great craftsmanship and thought leadership to deliver an outstanding product that delights customers and solves for the business. This involves the pursuit and achievement of high standards, best practices, innovation, and superior solutions. One Team: A One Team mindset refers to a collaborative approach across the organization, where individuals work together seamlessly, without boundaries, as a single, cohesive team. Shared goals, open communication and mutual support create a sense of collective purpose. This enables teams to navigate challenges and pursue shared objectives more effectively. Owner's Mindset: Owner's Mindset involves adopting a set of behaviors that reflect a sense of responsibility, accountability, strategic thinking, and a proactive approach to managing your domain. As an owner, you understand the business and your domain(s) deeply and solve for the right outcome for the domain(s) and the business. Requirements: Bachelor's degree in Computer Science, Information Systems, or closely related field of study; or equivalent work experience Minimum 8 years of software engineering experience or comparable depth of experience Experience in the lead role overseeing technical direction of a team of software engineering talent across multiple applications Expert, hands-on Java (17/21) and Spring Boot: building and operating production REST and event-driven services, with strong object-oriented design and design patterns Practical experience with modern, AI-assisted delivery: spec-driven development, test automation, CI/CD in GitHub Actions and small, frequent releases Practical experience in data modeling, design and messaging Experience working on mission-critical enterprise class applications Demonstrated ability to coach and mentor less experienced team members Willingness to participate in an on-call rotation Hands-on experience designing, deploying and operating cloud-native services on AWS, including containers on Kubernetes (e.g., Amazon EKS), GitOps, IAM and secrets management, observability and reliability practices such as SLOs Hands-on experience designing, building, evaluating and operating at least one LLM-powered agent in production: secure tool use (e.g., function calling, MCP), retrieval where needed, offline and online evaluation, guardrails, observability and human oversight for consequential actions Candidates must reside in or be willing to relocate to one of the following hub locations: the greater Southfield, Michigan, area; the greater Bellevue, Washington, area; or the San Francisco Bay Area, California. Preferred: Advanced use of AI-native development tools (GitHub Copilot, Claude Code or similar agents in the IDE and CLI), including writing custom instructions, reusable skills and commands, hooks and MCP integrations that make the whole team faster In-depth creation of APIs and frameworks: REST/JSON and legacy SOAP web services, JUnit 5 and Mockito, WireMock, consumer-driven contract testing (Pact), and GitHub with GitHub Actions Experience in API security, analytics, throttling, caching, logging, request and response modifications Experience with API-first design: versioned OpenAPI and event schemas agreed before code and published for consumers, people and agents alike Ability to use DDL to create database objects and relationships, construct advanced queries, and optimize query performance Financial services industry experience Experience with customer data in a regulated business: customer master data and identity resolution, consent and privacy-request fulfillment, and sensitive data exchanges such as credit-bureau reporting and disputes (e.g., Metro 2, e-OSCAR) Experience with AI agent platforms and frameworks (Amazon Bedrock and Bedrock AgentCore, Spring AI or LangChain4j; Python agent frameworks a plus) and with LLM evaluation, guardrail and observability tooling Knowledge and Skills: Ability to challenge the status quo and influence stakeholders to create innovative solutions Be collaborative with other team members, seeking a diversity of thought to meet business outcomes Ability to foster strong relationships across the organization Bring a strong understanding of relevant and emerging technologies, provide input and coach team members and embed learning and innovation in the day-to-day Experience and understanding of how to connect the work being done and how it drives business value Ability to communicate complex technical information (both verbal and written) to all levels, including senior leadership Sound judgment about where AI should and should not act: redesigns a workflow before automating it, sets clear tool and action boundaries for agents, keeps people in the loop for customer-impacting decisions, and evaluates AI output for accuracy, safety (including prompt injection and data leakage) and bias Cost- and value-aware engineering: understands the cost drivers of cloud and AI workloads (compute, storage, data transfer, model tokens) and makes evidence-based trade-offs among customer experience, reliability, speed and spend Consumer 360 role-specific behaviors AI-First Mindset: Starts from AI when building and running software. Redesigns the work before automating it, uses agents to multiply the team's capacity, and stays fully accountable for the quality, security and cost of everything AI produces. Customer Data Stewardship: Treats customer data as a trust obligation. Protects personal information, honors consent and privacy choices, and respects clear data ownership and authoritative sources so customers, colleagues and agents see accurate context. Target Compensation: This position offers a competitive base salary, with a range of$185,805 - $260,127. This position is eligible for an annual variable incentive of cash and equity, between 10-20%. Actual amounts are based on individual performance . click apply for full job details

Salary Range: $84,137 - $120,000 Develop and integrate AI enabled capabilities that enhance Model Based System Engineering (MBSE), automated testing and analysis for tactical systems and subsystems of Navy platforms such as F/A-18 and F-35. Essential Job Functions: Support Digital Engineering efforts and develop automated test capabilities Develop and integrate AI-driven test vector and analysis tools Execute software life-cycle processes including requirements analysis, architecture definition, software design, code and test of the development of automated system testing capability Collaborate with engineering teams to integrate models, data flows, and automation and support lab-based test and integration activities Contribute to compliance tools, documentation, and briefings. Participate in mission analysis activities, and mission modeling integration discussions Required Skills: Due to the sensitivity of customer related requirements, U.S. Citizenship is required. Secret Security Clearance, SAP eligible. Bachelor's degree in Computer Science, Information Technology, or related technical field. Experience developing or applying AI/ML solutions in enterprise or production environments Minimum of 2 years in Python or related coding language Strong written and verbal communication skills for technical documentation and cross-team collaboration Initiative, creativity, willingness to learn, and ability to work with others on the team Desired Skills: Background in systems engineering or automated test frameworks Knowledge of Graph Database Experience developing AI/ML methods and analytics Experience integrating MBSE models with test tooling and/or understanding of MBSE technologies (such as Cameo) and processes Prior experience with MBSE methodologies, development and test processes is desirable.

Salary Range: $84,137 - $120,000 Develop and integrate AI enabled capabilities that enhance Model Based System Engineering (MBSE), automated testing and analysis for tactical systems and subsystems of Navy platforms such as F/A-18 and F-35. Essential Job Functions: Support Digital Engineering efforts and develop automated test capabilities Develop and integrate AI-driven test vector and analysis tools Execute software life-cycle processes including requirements analysis, architecture definition, software design, code and test of the development of automated system testing capability Collaborate with engineering teams to integrate models, data flows, and automation and support lab-based test and integration activities Contribute to compliance tools, documentation, and briefings. Participate in mission analysis activities, and mission modeling integration discussions Required Skills: Due to the sensitivity of customer related requirements, U.S. Citizenship is required. Secret Security Clearance, SAP eligible. Bachelor's degree in Computer Science, Information Technology, or related technical field. Experience developing or applying AI/ML solutions in enterprise or production environments Minimum of 2 years in Python or related coding language Strong written and verbal communication skills for technical documentation and cross-team collaboration Initiative, creativity, willingness to learn, and ability to work with others on the team Desired Skills: Background in systems engineering or automated test frameworks Knowledge of Graph Database Experience developing AI/ML methods and analytics Experience integrating MBSE models with test tooling and/or understanding of MBSE technologies (such as Cameo) and processes Prior experience with MBSE methodologies, development and test processes is desirable.

Job Description Job Description Senior Cloud Security Architect As a Senior Cloud Security Architect, you will lead the strategic vision for protecting our multi-cloud ecosystem. You are responsible for designing the security blueprints that govern our entire digital footprint-from identity perimeters to AI-driven threat detection. This role requires a "Security as Code" mindset, where you build automated guardrails that empower developers to move at speed without compromising the safety of our data or infrastructure. Key Responsibilities • Security Architecture Vision: Lead the design of a global Zero Trust architecture, ensuring robust identity governance (IAM), network micro-segmentation, and data encryption across AWS, Azure, or GCP. • AI-Native Security Strategy: Architect specialized security frameworks for AI/ML pipelines, focusing on data privacy for training sets, model integrity, and securing LLM-integrated applications against emerging attack vectors. • Automated Guardrails (Policy as Code): Develop and enforce enterprise-wide security policies using Terraform, etc., ensuring that non-compliant infrastructure is automatically remediated or blocked from deployment. • Cloud Posture Management: Design and oversee the integration of CNAPP and CSPM tools to provide real-time visibility into misconfigurations, vulnerabilities, and excessive permissions. • Threat Modeling & Resilience: Conduct deep-dive threat modeling for complex cloud-native systems, simulating advanced persistent threats (APTs) and "blast radius" scenarios to strengthen system resilience. • Security Consultancy: Act as the lead security advisor for the Cloud Architecture team, bridging the gap between DevOps agility and rigorous regulatory compliance (SOC2). Technical Qualifications Category Security Platforms Requirements Mastery of cloud-native security suites (e.g., AWS Security Hub, Azure Defender, GCP Security Command Center). Category Identity & Access Requirements Expert knowledge of Identity-First Security, including CIEM, Just-In-Time (JIT) access, and complex OIDC/SAML flows. Category Automation Requirements Proficiency in Python, Go, or Bash to build custom security automations and integrate with SOAR platforms. Category DevSecOps Requirements Deep experience embedding automated security testing (SAST/DAST/SCA) directly into CI/CD pipelines. Category Cloud Networking Requirements Advanced understanding of secure connectivity, including SD-WAN, Cloud WAF, and Zero Trust Network Access (ZTNA). Preferred Experience • Experience: 12 years in Cybersecurity, with at least 6 years focused on architecting secure cloud environments at scale. • Certifications: Top-tier credentials. • Education: Advanced degree in Computer Science, Cybersecurity, or a related engineering field preferred. BS degree from an accredited College/University in the applicable field of services is required, or four additional years of relevant experience in lieu of a college degree. If the individual's degree is not in the applicable field then four additional years of related experience is required. • Soft Skills: Strong ability to bridge the gap between "Speed of DevOps" and "Rigors of Security" while communicating clearly with executive leadership • Leadership: Proven ability to influence technical roadmaps and present security risks clearly to C-suite stakeholders. Core Objectives • Zero Standing Privilege: Help Transition the organization to a "Zero Standing Privilege" model for all production environments. • Automated Compliance: Help Achieve automated auditing for core compliance frameworks (e.g., NIST, CIS Benchmarks). • Mean Time to Detect (MTTD): Utilize AI-driven monitoring to reduce the detection time of anomalous cloud activity to minimum Additional Provisions: • Pass a client mandated clearance process to include drug screening, criminal history check and credit check. • Once candidate's resume is approved and interview passed, the agency is responsible for providing drug screening. Failure to submit the drug screening results will delay the security clearance process. • If a candidate is given an interim clearance, continuation of employment is then based on the candidate receiving a sensitive clearance. • All candidates must be a US Citizen or permanent status Green Card holder. • Cannot have more than 6 months travel outside the United States within the last five years. Military Service excluded. (Exception does not include military family members.) • All overtime must be pre-approved in writing by the client manager or his/her designated representative. • Agency will not be reimbursed for overtime charges without previous written authorization. Authorized overtime will be reimbursed at straight time. • The enforced dress code is business casual, i.e., collared shirt with slacks for men, no skirts above the knee for women. Prime Contract Number - 1BITCS-25-B-0009 For this position, there will be only one bill rate regardless of hours worked in a day and/or workweek. The North American Industry Classification System (NAICS) code for this acquisition is 561320. The small business size standard is $34 millionComments for Suppliers:Work will be remote with candidates located in Morrisville, NC; Falls Church, VA; or Eagan, MN given preference.

Job Description Job Description Software Guidance & Assistance, Inc., (SGA), is searching for a Principal Data Scientist for a direct hire opportunity with one of our premier clients in Oshkosh, WI or New Hudson, MI. The Data Science Lead serves as a hands-on technical leader who bridges business strategy, advanced analytics, and AI-driven innovation to deliver high-impact solutions across the organization. This individual contributor role requires 5 years of experience leading end-to-end data science initiatives, partnering directly with business stakeholders, and translating complex business challenges into scalable machine learning, predictive analytics, and Generative AI solutions. The ideal candidate combines strong technical expertise in Python, SQL, cloud platforms, and modern AI/LLM technologies with the ability to independently architect, deploy, and support production-ready solutions. Data Science Lead collaborates closely with executive leadership, operations, product teams, and IT partners to define AI roadmaps, drive adoption, establish technical standards, and deliver measurable business value through data-driven decision making. Core requirements 5 years of experience; 6 years may be appropriate , according to the manager. The same core profile as R50808: AI-savvy and business-savvy, with strong business relationships and experience working directly with business stakeholders not solely back-end development. Ability to manage work end to end and personally deploy and deliver the solution. Shared considerations Both roles are individual-contributor positions , not manager roles. The manager is open to candidates who began in a business function or as a business analyst and later moved into IT, analytics, or data science, as well as candidates from consulting. The roles are described as hybrid: 3 days onsite and 2 remote , based in Oshkosh, Wisconsin, or New Hudson, Michigan . Relocation is acceptable if the candidate is willing to relocate; the manager said these are not commuting positions. Mentoring and executive-level communication are more central to the Principal role than to the Lead role. SUMMARY The Data Science Lead serves at the vital intersection of enterprise business strategy, machine learning innovation, and technical delivery. In this role, you will lead the strategic vision, architectural design, and operational deployment of predictive modeling, advanced analytics, and artificial intelligence solutions across key business units. Technical Leadership & Solution Architecture End-to-End Delivery: Architect, build, and deploy production-grade machine learning models, statistical frameworks, and Generative AI/LLM applications (e.g., RAG architectures, intelligent agents, and fine-tuned models). Engineering Standards: Establish best-in-class coding, testing, evaluation, and documentation standards across the team. Conduct regular code and architecture reviews. Production MLOps: Partner closely with Data Engineering and DevOps teams to establish robust CI/CD pipelines, automated model monitoring, feature stores, data drift detection, and automated retraining workflows. Research & Innovation: Stay abreast of state-of-the-art developments in AI/ML, evaluating emerging methodologies, tools, and frameworks to accelerate organizational capabilities. Strategy, Road mapping & Stakeholder Management Business Translation: Collaborate closely with executive leadership, product managers, operations, and commercial leaders to translate complex business challenges into actionable data science initiatives. Strategic Roadmap: Define and prioritize the enterprise AI and analytics roadmap, aligning project timelines, milestones, and deliverables with core business objectives. Value Realization & Communication: Articulate complex algorithmic methodologies and quantitative findings in clear, non-technical language to executive stakeholders, driving adoption and demonstrable business impact. Governance & Ethical AI: Champion data integrity, security, model explainability, algorithmic fairness, and compliance with organizational policies and international AI safety standards. People Leadership & Team Development Mentorship & Coaching: Lead, coach, and support junior and mid-level data scientists, nurturing individual career trajectories, continuous learning, and technical mastery. Agile Project Execution: Foster an agile, delivery-focused sprint cadence, balancing exploratory research with strict milestone deadlines and business commitments. Culture & Community: Cultivate an inclusive, collaborative culture that celebrates technical curiosity, innovation, and knowledge-sharing across cross-functional units. Education & Professional Experience Master's degree or Ph.D. in Data Science, Computer Science, Statistics, Mathematics, Operations Research, or a related quantitative discipline (or equivalent practical experience). Minimum of 6 years of professional experience in data science, predictive modeling, or machine learning engineering. Technical Expertise Expert proficiency in Python (including NumPy, Pandas, Scikit-Learn, PyTorch, or TensorFlow) and advanced SQL. Strong hands-on experience building supervised/unsupervised learning pipelines, deep learning models, natural language processing (NLP), and modern Large Language Model (LLM) architectures. Proven track record utilizing enterprise cloud ecosystems (AWS, Azure, or GCP) and distributed compute systems (Databricks, Snowflake, Apache Spark). Demonstrated familiarity with model tracking, containerization, and orchestration platforms (e.g., MLflow, Docker, Kubernetes, Kubeflow, Airflow). Proficiency in presenting findings via business intelligence and visualization tools (e.g., Power BI, Streamlit). Soft Skills & Core Competencies Strategic Thinking: Ability to see the bigger picture, connecting data capabilities to long-term business strategy. Outstanding verbal and written communication skills with the capability to influence senior leadership. Pragmatism & Value Orientation: Focus on business utility, avoiding over-engineering in favor of reliable, interpretable, and maintainable solutions. By applying for a job with SGA, you agree to allow SGA to process your application for this and future opportunities in accordance with our Privacy Policy. Also, to ensure timely processing, you agree to be contacted by our AI recruiter via email, text, or phone. Message frequency varies and data rates may apply, but you can reply STOP to any SMS message to opt-out of texts and may contact SGA at to opt-out of AI communications. The choice not to engage with AI will not adversely impact your consideration for placement. AI is not used to make any hiring determinations. SGA is a technology and resource solutions provider driven to stand out. We are a women-owned business. Our mission: to solve big IT problems with a more personal, boutique approach. Each year, we match consultants like you to more than 1,000 engagements. When we say let's work better together, we mean it. You'll join a diverse team built on these core values: customer service, employee development, and quality and integrity in everything we do. Be yourself, love what you do and find your passion at work. Please find us at . SGA is an Equal Opportunity Employer and does not discriminate on the basis of Race, Color, Sex, Sexual Orientation, Gender Identity, Religion, National Origin, Disability, Veteran Status, Age, Marital Status, Pregnancy, Genetic Information, or Other Legally Protected Status. We are committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment, and our services, programs, and activities. Please visit our company EEO page to request an accommodation or assistance regarding our policy.

Job Description Job Description Client Name Everest Insurance (Please do not post client name anywhere) Position Title Lead QA Automation Engineer (Playwright) Domain EXP (Finance/Insurance Domain) Location 100 corporate center dr, Warren, NJ 07059, United States (3 Day Onsite) Employment Type C2C Rate $70/hr. All inclusive Indent ID SF_OP_202853-4-4 Job ID 176719 Job Description Role Overview We are looking for an experienced Lead QA Automation Engineer with strong hands-on expertise in Playwright to lead the quality engineering practice across our web applications and services. The ideal candidate has 8 years of progressive QA experience - including automation framework design, test strategy, CI/CD-integrated testing, and team leadership. You will define the quality roadmap, mentor a team of QA engineers, and drive a shift-left, automation-first culture across the engineering organization. Position Details Job Title: Lead QA Automation Engineer (Playwright) Experience: 8 years (with 2 years in a lead/senior role) Employment Type: Full-time Department: Quality Engineering / Engineering Reports To: QA Manager / Director of Engineering Key Responsibilities Test Strategy & Leadership Define and own the end-to-end test strategy across functional, regression, integration, API, performance, and accessibility testing. Establish quality gates, KPIs, and SLAs for releases; report quality metrics to engineering and product leadership. Drive a shift-left quality culture: in-sprint automation, risk-based testing, and early defect prevention. Evaluate and select tools, frameworks, and processes that improve test efficiency and coverage. Automation Framework & Engineering Architect, build, and maintain a scalable, reusable Playwright-based test automation framework (TypeScript/JavaScript). Design Page Object Model (POM) / Screenplay / fixture-based patterns for maintainability and reuse. Implement parallel, cross-browser, and cross-device test execution (Chromium, Firefox, WebKit, mobile emulation). Build API test automation using Playwright API testing, REST Assured, Supertest, or Postman/Newman. Develop and maintain data-driven, BDD (Cucumber/Gherkin), and tag-based test execution strategies. Implement visual regression, accessibility, and contract testing where appropriate. CI/CD & DevOps Integration Integrate automated tests into CI/CD pipelines using GitHub Actions, GitLab CI, Jenkins, Azure DevOps, or CircleCI. Configure test environments, containerized test execution (Docker), and cloud test grids (BrowserStack, Sauce Labs, LambdaTest). Implement intelligent retries, flaky test detection, test sharding, and trace/video/screenshot capture for diagnostics. Drive reporting and observability with Allure, Playwright HTML reporter, ReportPortal, or custom dashboards. Team Leadership & Mentorship Lead, mentor, and grow a team of QA and SDET engineers; conduct interviews and hire top quality engineering talent. Perform code reviews of automation scripts, enforce standards, and continuously improve quality of test code. Coach manual testers on transitioning to automation and engineering best practices. Champion Agile/Scrum ceremonies - sprint planning, refinement, retros - from the QA perspective. Collaboration & Delivery Partner with developers, product managers, designers, and DevOps to ensure quality is owned across the team. Participate in design and architecture reviews to identify testability concerns early. Collaborate with performance, security, and SRE teams for non-functional testing (JMeter, k6, Gatling, OWASP ZAP). Drive root cause analysis (RCA) for production incidents and feed learnings back into test coverage. Required Skills & Qualifications Core QA & Automation 8 years of total QA experience with at least 5 years in test automation. 3 years of hands-on, production-grade experience with Playwright (TypeScript preferred). Proven ability to design and scale automation frameworks from scratch. Strong programming skills in TypeScript/JavaScript ; familiarity with Java, Python, or C# is a plus. Deep understanding of QA methodologies - STLC, Agile testing quadrants, risk-based testing, exploratory testing. Playwright Expertise Expert with Playwright Test Runner, fixtures, projects, parallelization, and worker management. Strong command of auto-waiting, locators, role-based selectors, and resilient test design. Experience with Playwright API testing, network mocking, request interception, and route handling. Hands-on with Playwright tracing, codegen, debugging, and CI integration. Experience with component testing using Playwright Experimental Component Testing or similar. Testing Types & Tools API testing with Playwright APIRequest, REST Assured, Postman/Newman, or Supertest. BDD frameworks: Cucumber, Playwright-BDD, SpecFlow, or Behave. Performance/load testing exposure: JMeter, k6, Gatling, or Locust. Accessibility testing: axe-core, Playwright accessibility checks, Lighthouse CI. Visual regression: Playwright snapshots, Percy, Applitools, or Chromatic. Mobile testing exposure: Playwright mobile emulation, Appium, or BrowserStack App Live (nice to have). CI/CD, Cloud & DevOps Hands-on with GitHub Actions, Jenkins, GitLab CI, Azure DevOps, or CircleCI for test pipelines. Experience containerizing tests with Docker; familiarity with Kubernetes is a plus. Familiarity with AWS, Azure, or GCP for test infrastructure and environments. Hands-on with cloud-based test grids: BrowserStack, Sauce Labs, LambdaTest. Quality Engineering Practices Strong grasp of test pyramid, contract testing (Pact), and shift-left/shift-right testing. Experience with test data management, synthetic data generation, and environment management. Familiarity with feature flagging and progressive delivery (LaunchDarkly, Unleash) for safe rollouts. Solid understanding of SDLC, defect lifecycle, and tools like Jira, Xray, Zephyr, TestRail, or qTest. Web & API Fundamentals Strong understanding of HTML, CSS, DOM, JavaScript runtime, and browser internals. Solid grasp of HTTP, REST, GraphQL, WebSockets, authentication (OAuth 2.0, JWT, SSO). Comfortable reading and writing SQL; experience validating data in relational and NoSQL databases. Familiarity with microservices, event-driven architectures, and message brokers (Kafka, RabbitMQ). Leadership & Soft Skills Proven experience leading QA/SDET teams and owning quality for multiple products or modules. Excellent communication, stakeholder management, and reporting skills. Strong analytical, troubleshooting, and root-cause analysis abilities. Ability to balance speed and quality, and to make pragmatic, data-driven trade-offs. Passion for quality, continuous improvement, and engineering excellence. Nice to Have Experience with security testing (OWASP ZAP, Burp Suite) and basic threat modeling. Exposure to AI-assisted testing tools, self-healing tests, or LLM-based test generation. Contributions to open-source QA/automation projects or a strong technical blog. Experience in regulated domains - Insurance, BFSI, or Healthcare. Relevant certifications: ISTQB Advanced, Certified Agile Tester, AWS/Azure certifications. All candidate submissions should come with valid documents and ID proof. Submission Matrix: Name of the candidate Contact# Email ID Location Availability Visa Rate Supplier Name Particular Details LinkedIn profile Link Ptalent Applicant id Job# Profile uploaded against which Indent:RelocationETA for relocation post pandemicEducational qualification (along with Year of passing and university details)Video / In-person interview availability (Yes/No)Currently on ProjectAny CertificationInterviewed with Persistent in past 3 months Skill Matrix: Skill Years of experience

Job Description Job Description Job Description ACTIVE SECURITY CLEARANCE AT THE TS/SCI POLYGRAPH LEVEL IS REQUIRED We are seeking a Database Engineer to provide technical expertise across database design, development, implementation, and complex data modeling for critical defense and intelligence customer missions. In this role, you will work primarily across the front-end of the development lifecycle-from initial requirements gathering through system acceptance testing and Initial Operational Capability (IOC). You will architect relational and Object-Oriented databases, develop custom parsers and automated loading software, and balance technical trade-offs across data volumes, user concurrency, security controls, and response times. Additionally, you will build complex database queries, leverage Open Database Connectivity (ODBC), and implement cloud-native storage and retrieval strategies. The annual base salary range for this role is $139,000-$164,000 (USD) , which does not include discretionary bonus compensation or our comprehensive benefits package. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things. , Required Skills Database Architecture Design: Proven expertise in database design, development, logical and physical data modeling, and information storage and retrieval for relational and Object-Oriented databases. Lifecycle Experience (Requirements to IOC): Demonstrated experience leading database engineering efforts across the early software lifecycle-translating complex requirements into usable database structures, schemas, and acceptance tests. Parser Data Loading Software: Hands-on skill developing custom database parser software, ETL scripts, macros, and automated loading mechanisms. Query Development Data Manipulation: Mastery of ad-hoc queries, SQL scripting, stored procedures, and tables to extract, transform, manipulate, and consolidate large-scale data into master data repositories. Trade-Off Analysis Performance Tuning: Ability to analyze and optimize trade-offs between data volume, user access, logical/physical distribution, security controls, and query response times. Cloud Database Technologies: Experience leveraging Cloud storage methodologies, database technologies, and Open Database Connectivity (ODBC) for integration. Education: Bachelor's Degree in Data Science, Computer Science, Computational Linguistics, Mathematics, or a related technical discipline, PLUS 5 + years of professional experience in data science, NLP, or software engineering OR High School Diploma / GED, PLUS 10+ years of specialized technical experience in lieu of a degree. , Desired Skills Cloud Data Warehouses NoSQL: Familiarity with NoSQL databases (e.g., MongoDB, Cassandra, DynamoDB) and cloud-based data warehouses (e.g., AWS Redshift, Snowflake). Big Data Integration: Experience integrating database systems with distributed data processing frameworks such as Apache Spark, Kafka, or NiFi. Database Security Access Control: Knowledge of fine-grained access control (FGAC), encryption at rest/in transit, and row/column-level security implementations. Automated Migration CI/CD: Exposure to database migration tools (e.g., Flyway, Liquibase) and automated deployment pipelines. , About Nyla Technology Solutions Nyla Technology Solutions delivers exceptional Artificial Intelligence (AI), Data Science, and Software Engineering services for the U.S. Government. Nyla embraces a forward-thinking and bold approach at every turn, earning us a solid reputation of technical trendsetters within the industry. We have a passion for developing solutions that have a quick and immediate impact on mission. Headquartered in Columbia, Maryland, our customers love how we tackle their most challenging problems and get things done. If you have the unique experience and expertise we are seeking, along with the desire and determination to invest your time and energy as a part of Nyla's team, Taking Care of All of You Nyla provides a top-of-market compensation and benefits package. And through our unique Nyla FLEX program, we custom tailor these benefits to best fit your lifestyle. The Nyla FLEX benefit program is designed to offer you flexibility in the 3 biggest areas of your life: your pay, your leave, and your schedule. PAY - Nyla starts with 4 weeks of Annual Leave plus 11 holidays and an additional day of Annual Leave for each year you're at the company. You have the flexibility to cash out your annual leave hours, opt out of other Nyla benefits, and/or arrange for additional hours on contract (over 40 hrs/week). There's even an option to earn 1.3 times your hourly rate once you work over 1880 hours on contract! LEAVE - Want to spend more time with the family? Want more time to travel the world? You can BUY additional annual leave for a total of 6 weeks of annual leave. That's up to 240 hours of leave plus 11 holidays! That's not even including paid anniversary leave! SCHEDULE - Does the traditional 40-hour workweek no longer fit your lifestyle? With Nyla FLEX, you have the freedom to scale down to 30-32 hours while still enjoying the top-notch Nyla benefits you know and love. It's flexibility that works for you without compromising the perks! WHAT ABOUT OTHER BENEFITS? Nyla's health care (medical, dental, and vision) is 100% covered by the company. We provide 10% 401k matching - with full vesting day 1! Our Professional Development offers $5,000 per year to be used towards fees, tuition, or time off for your continued growth. We even have a student loan repayment program and we provide 8 hours of volunteering annually so you can support your community, making your world a better place. To learn more about Nyla's culture and our exceptional benefit packages click here. Nyla is an equal opportunity employer.

Join a team where innovation meets mission. Our AI, cloud, cyber, and modernization solutions save agencies thousands of hours, safeguard national security, and strengthen health and humanitarian missions worldwide. With more than 1,700+ team members, 1,500+ AI & data experts, and 100+ prime contracts, we deliver at scale and with purpose. We've been recognized as a Top Workplace by The Washington Post for six consecutive years and named to the Inc. 5000 list of Fastest-Growing Private Companies in 13 of the past 14 years. Credence is a welcoming environment for those looking to grow and make a meaningful impact. We encourage employees to push boundaries and help solve critical, world-changing federal challenges. Credence has an immediate need for an experienced Senior Google Cloud Platform Looker Developer to support the Defense Automatic Addressing System Digital Business Transformation Reports Modernization team. This hands-on software development role will design, build, integrate, test, deploy, troubleshoot, and sustain enterprise analytics applications using Google Cloud Platform, Looker Enterprise, LookML, and Looker Studio or Looker Studio Pro. The developer will translate functional and technical requirements into production-ready Looker applications, governed semantic models, dashboards, and cloud integrations. The role requires advanced LookML and SQL development, experience with cloud data platforms and APIs, disciplined source-control and deployment practices, and the ability to independently resolve application, data, security, and performance issues. The Senior Developer will also conduct technical reviews, establish reusable development patterns, and mentor other developers. Requirements U.S. citizenship and an active DoD Secret clearance at the time of hire, with the ability to maintain required Government access and suitability. Bachelor's degree in Computer Science, Software Engineering, Information Technology, Information Systems, Data Engineering, or a closely related technical discipline, or an approved equivalent combination of education and experience. At least seven years of experience in business intelligence application development, cloud application development, data engineering, or enterprise reporting development, including at least five years of hands-on development in modern business intelligence platforms. At least three years of hands-on Google Looker Enterprise and LookML development experience, including production semantic models, Explores, dashboards, reusable components, access controls, testing, deployment, and sustainment. Hands-on experience developing Looker Studio or Looker Studio Pro reports, reusable data sources, calculated fields, controls, connectors, and governed sharing configurations. Advanced SQL development and performance-tuning skills using BigQuery and at least one additional enterprise platform such as Amazon Redshift or Oracle. Working knowledge of Google Cloud Platform services used for secure analytics solutions, including BigQuery, Identity and Access Management, Cloud Storage, logging, monitoring, and application integration. Experience integrating reporting applications with data sources, APIs, identity services, and cloud components; experience with Looker APIs, embedded analytics, extensions, JavaScript, or Python is strongly desired. Experience with Git-based version control, code reviews, branching, release management, automated validation, and continuous integration and delivery practices. Strong testing and troubleshooting skills across LookML, SQL, data models, dashboards, permissions, integrations, deployment configurations, and application performance. Experience applying secure coding, role-based access, least-privilege controls, auditing, data-protection, and Section 508 accessibility requirements. Experience leading technical design and code reviews, establishing development standards, mentoring developers, and communicating technical risks and recommendations. Experience working in Scrum, SAFe, or another Agile software delivery environment. Current Security Plus CE or another contract-approved certification meeting DoD 8570 or 8140 IAT Level II requirements. Strong technical writing and communication skills, including the ability to document solution designs, code, configuration, testing, deployment, and operational procedures. Preferred Qualifications Google Cloud Professional Data Engineer, Professional Cloud Developer, Associate Cloud Engineer, or another relevant Google Cloud certification. Experience with data modeling, dimensional modeling, ETL or ELT pipelines, data quality controls, metadata, lineage, and enterprise data governance. Experience modernizing legacy reporting applications and validating data, calculations, security, and performance during platform migrations. Experience supporting DLA, DoD, or another federal agency in a controlled cloud environment; a current Common Access Card is preferred. Work Environment This position supports a collaborative federal delivery team and requires adherence to program security, access, and onsite or hybrid work requirements Salary Range: $150,000 - $190,000 annually. Actual compensation will be determined based on the selected candidate's experience, education, certifications, skills, and overall qualifications. Benefits Health Care Plan (Medical, Dental & Vision) Retirement Plan (401k, IRA) Life Insurance (Basic, Voluntary & AD&D) Paid Time Off (Vacation, Sick & Public Holidays) Family Leave (Maternity, Paternity) Short Term & Long Term Disability Training & Development Free Food & Snacks Wellness Resources Stock Option Plan

Overview Join a team where innovation meets mission. Our AI, cloud, cyber, and modernization solutions save agencies thousands of hours, safeguard national security, and strengthen health and humanitarian missions worldwide. With 1,700+ team members, 1,500+ AI/data experts, and 100+ prime contracts, we deliver at scale and with purpose. We've been recognized as a Top Workplace by the Washington Post for six straight years and named to the Inc. 5000 Fastest Growing Private Companies 13 of the past 14 years. Credence is a welcoming home for those looking to grow and contribute to positive change. We encourage all employees to expand beyond their boundaries, dive into important world-changing Federal challenges. Position Summary Credence is seeking an experienced Senior Software Engineer to design, develop, integrate, and modernize enterprise software solutions. This role focuses on application development, software architecture, cloud-native technologies, AI-enabled automation, systems integration, and advanced analytical capabilities that improve mission readiness, logistics, sustainment, and supply chain operations. The successful candidate will build scalable software applications, APIs, enterprise services, automation tools, and AI-enabled capabilities that transform complex operational and logistics information into mission-focused software solutions. This position offers the opportunity to work across software engineering, cloud technologies, DevSecOps, automation, and enterprise analytics while supporting one of the Department of Defense's most critical aviation programs. The ideal candidate is a senior-level software engineer with strong programming experience, modern application development expertise, and a passion for building innovative solutions that drive operational effectiveness and mission success. Responsibilities include, but are not limited to the duties listed below Software Engineering & Architecture Design, develop, test, and deploy scalable, secure enterprise software, APIs, and microservices. Design secure, cloud-native software architectures, and contribute to architecture decisions across the stack. Support deployment through containers and CI/CD, and modernize legacy systems through automation and cloud-enabled technologies. Apply engineering best practices - source control, automated testing, code review, documentation. Ensure compliance with secure software development standards and Government cybersecurity requirements Support monitoring, troubleshooting, and operational sustainment of production systems. AI & Intelligent Automation Build and integrate AI-enabled capabilities - including generative AI, LLMs, RAG, and agentic workflows - into production systems, with secure integration into approved AI platforms. Apply AI-assisted development tools to improve engineering velocity and code quality. Evaluate emerging AI and automation technologies and drive their practical adoption. Impact & Collaboration Translate complex operational requirements into production-ready software, working directly with analysts and stakeholders. Build forecasting, modeling, and decision-support tools that turn data into operational insight. Provide technical leadership and mentorship, and help shape engineering standards across the team. Requirements U.S. Citizenship with the ability to obtain a Secret Security Clearance. Bachelor's degree in a related technical field Significant professional experience in software engineering, application development, systems engineering, automation, or related technical disciplines. Demonstrated expertise in one or more modern programming languages such as Python, Java, C#, or JavaScript/TypeScript, with recent hands-on experience developing production software. Experience designing, developing, testing, deploying, and maintaining enterprise software applications and services. Experience developing APIs, distributed systems, microservices, or service-oriented architectures. Experience with software architecture, object-oriented design, and software development lifecycle best practices. Experience working in Agile software development environments, including Scrum or Kanban. Experience developing and deploying applications in cloud environments such as AWS, Azure, or GCP, including containerized or cloud-native applications. Experience integrating enterprise systems and developing mission-focused software solutions. Strong problem-solving, communication, technical writing, and collaboration skills. Preferred Qualifications Experience with generative AI, large language models (LLMs), retrieval-augmented generation (RAG), prompt engineering, or AI-enabled application development. Familiarity with agentic AI frameworks, orchestration platforms, and intelligent automation solutions. Experience developing mission applications that incorporate analytics, forecasting, optimization, or decision-support capabilities. Why This Role Matters Mission-Critical Impact - Build software solutions that directly improve mission readiness, logistics, sustainment, and operational effectiveness. Modern Engineering Environment - Work with cloud technologies, DevSecOps, AI-enabled capabilities, automation frameworks, and modern software architectures. Innovate with Purpose - Develop mission-focused applications that help transform data into actionable insights and operational outcomes. Collaborative Technical Culture - Partner with engineers, AI specialists, mission experts, and Government stakeholders to solve complex challenges. Professional Growth - Expand your expertise across software engineering, cloud, AI, automation, and defense mission support while contributing to one of the world's most advanced aviation programs. Salary Range: $170,000 - $200,000 annually. Actual compensation will be determined based on the selected candidate's experience, education, certifications, skills, and overall qualifications. Benefits Health Care Plan (Medical, Dental & Vision) Retirement Plan (401k, IRA) Life Insurance (Basic, Voluntary & AD&D) Paid Time Off (Vacation, Sick & Public Holidays) Family Leave (Maternity, Paternity) Short Term & Long Term Disability Training & Development Wellness Resources

Overview Join a team where innovation meets mission. Our AI, cloud, cyber, and modernization solutions save agencies thousands of hours, safeguard national security, and strengthen health and humanitarian missions worldwide. With 1,700+ team members, 1,500+ AI/data experts, and 100+ prime contracts, we deliver at scale and with purpose. We've been recognized as a Top Workplace by the Washington Post for six straight years and named to the Inc. 5000 Fastest Growing Private Companies 13 of the past 14 years. Credence is a welcoming home for those looking to grow and contribute to positive change. We encourage all employees to expand beyond their boundaries, dive into important world-changing Federal challenges. Position Summary Credence is seeking an experienced Senior Software Engineer to design, develop, integrate, and modernize enterprise software solutions. This role focuses on application development, software architecture, cloud-native technologies, AI-enabled automation, systems integration, and advanced analytical capabilities that improve mission readiness, logistics, sustainment, and supply chain operations. The successful candidate will build scalable software applications, APIs, enterprise services, automation tools, and AI-enabled capabilities that transform complex operational and logistics information into mission-focused software solutions. This position offers the opportunity to work across software engineering, cloud technologies, DevSecOps, automation, and enterprise analytics while supporting one of the Department of Defense's most critical aviation programs. The ideal candidate is a senior-level software engineer with strong programming experience, modern application development expertise, and a passion for building innovative solutions that drive operational effectiveness and mission success. Responsibilities include, but are not limited to the duties listed below Software Engineering & Architecture Design, develop, test, and deploy scalable, secure enterprise software, APIs, and microservices. Design secure, cloud-native software architectures, and contribute to architecture decisions across the stack. Support deployment through containers and CI/CD, and modernize legacy systems through automation and cloud-enabled technologies. Apply engineering best practices - source control, automated testing, code review, documentation. Ensure compliance with secure software development standards and Government cybersecurity requirements Support monitoring, troubleshooting, and operational sustainment of production systems. AI & Intelligent Automation Build and integrate AI-enabled capabilities - including generative AI, LLMs, RAG, and agentic workflows - into production systems, with secure integration into approved AI platforms. Apply AI-assisted development tools to improve engineering velocity and code quality. Evaluate emerging AI and automation technologies and drive their practical adoption. Impact & Collaboration Translate complex operational requirements into production-ready software, working directly with analysts and stakeholders. Build forecasting, modeling, and decision-support tools that turn data into operational insight. Provide technical leadership and mentorship, and help shape engineering standards across the team. Requirements U.S. Citizenship with the ability to obtain a Secret Security Clearance. Bachelor's degree in a related technical field Significant professional experience in software engineering, application development, systems engineering, automation, or related technical disciplines. Demonstrated expertise in one or more modern programming languages such as Python, Java, C#, or JavaScript/TypeScript, with recent hands-on experience developing production software. Experience designing, developing, testing, deploying, and maintaining enterprise software applications and services. Experience developing APIs, distributed systems, microservices, or service-oriented architectures. Experience with software architecture, object-oriented design, and software development lifecycle best practices. Experience working in Agile software development environments, including Scrum or Kanban. Experience developing and deploying applications in cloud environments such as AWS, Azure, or GCP, including containerized or cloud-native applications. Experience integrating enterprise systems and developing mission-focused software solutions. Strong problem-solving, communication, technical writing, and collaboration skills. Preferred Qualifications Experience with generative AI, large language models (LLMs), retrieval-augmented generation (RAG), prompt engineering, or AI-enabled application development. Familiarity with agentic AI frameworks, orchestration platforms, and intelligent automation solutions. Experience developing mission applications that incorporate analytics, forecasting, optimization, or decision-support capabilities. Why This Role Matters Mission-Critical Impact - Build software solutions that directly improve mission readiness, logistics, sustainment, and operational effectiveness. Modern Engineering Environment - Work with cloud technologies, DevSecOps, AI-enabled capabilities, automation frameworks, and modern software architectures. Innovate with Purpose - Develop mission-focused applications that help transform data into actionable insights and operational outcomes. Collaborative Technical Culture - Partner with engineers, AI specialists, mission experts, and Government stakeholders to solve complex challenges. Professional Growth - Expand your expertise across software engineering, cloud, AI, automation, and defense mission support while contributing to one of the world's most advanced aviation programs. Salary Range: $170,000 - $200,000 annually. Actual compensation will be determined based on the selected candidate's experience, education, certifications, skills, and overall qualifications. Benefits Health Care Plan (Medical, Dental & Vision) Retirement Plan (401k, IRA) Life Insurance (Basic, Voluntary & AD&D) Paid Time Off (Vacation, Sick & Public Holidays) Family Leave (Maternity, Paternity) Short Term & Long Term Disability Training & Development Wellness Resources

Data Engineer - Hybrid This Jobot Job is hosted by: Melanie Courtney Are you a fit? Easy Apply now by clicking the "Quick Apply" button and sending us your resume. Salary: $120,000 - $160,000 per year A bit about us: Our client is a collection of industry-leading residential and commercial HVAC, electrical, and plumbing companies. Our mission is to provide exceptional residential and commercial services by upholding the legacies of our brand partners, empowering their growth, elevating performance, and enhancing the quality of life in the communities we serve. Why join us? Growing company Top benefits Great culture Job Details 1. Data Engineering & Snowflake Platform Primary Focus Design and own the three-layer Snowflake architecture: RAW STAGING MART Build and maintain domain MARTs (operations, call center, finance, workforce, marketing) using dbt - grain, ownership, SLA, and data contracts defined per MART Own Snowflake RBAC - Domo read-only on MART, AI scoped to mart.ai_features, row-level policies and masking applied where needed Build and maintain Semantic Views as the authoritative metric layer (booked rate, avg ticket, revenue per tech per day) - single source of truth for all tools Monitor pipeline health, warehouse costs, and query performance; optimize proactively 2. Data Ingestion & ETL/ELT Core Ownership Own ingestion end-to-end - Fivetran is the primary tool; configure and manage connectors for ServiceTitan, QuickBooks/Sage Intacct, Paycom, CCaaS, and marketing platforms Handle sources Fivetran does not cover with lightweight Python scripts (SFTP, REST APIs, email-delivered files); bias toward replacing custom scripts with managed connectors over time Own the dbt project as an engineering artifact - structure, CI/CD, dev/prod environments, packages, documentation Manage schema drift - catch upstream source changes before they break downstream MARTs; configure Fivetran schema change policies and dbt source assertions Define and maintain pipeline SLAs and alerting - failures surface before business users notice Own data lineage - every MART table traceable to source via dbt lineage graph Manage Fivetran MAR costs - optimize sync frequency without sacrificing freshness 3. AI Engineering Built on the Data Foundation Implement Cortex Analyst + Semantic Views for NL-to-SQL querying of MARTs - no SQL required for GMs and ops users Build enterprise knowledge search via Cortex Search - SOPs, runbooks, and operational docs indexed within the Snowflake perimeter Deploy Cortex Agents orchestrating across Cortex Search and Cortex Analyst for multi-step business questions Connect external systems (ServiceTitan, M365) via Snowflake MCP Server; use N8N or LangChain for workflows outside Snowflake Build AI feature pipelines in mart.ai_features under the same governance standards as all other MARTs 4. Governance & Enablement Define AI governance framework: acceptable use, risk tiers, PII handling, vendor evaluation Ensure AI pipelines inherit existing Snowflake RBAC and masking - no parallel governance layer Train end users on CoWork and Cortex Analyst; build internal tools for ops, finance, and service teams First 90 Days Audit Domo pipelines and produce a source inventory - ingestion method, refresh schedule, and downstream consumers for every source Stand up Snowflake three-layer architecture, RBAC, and dbt project scaffold with dev/prod environments Configure first Fivetran connectors (ServiceTitan first); ship mart.operations with dbt tests passing and Domo read-only connected Deliver AI governance framework and acceptable use policy Present 12-month roadmap to leadership - ingestion milestones gating MART build gating AI capabilities Our Tech Stack Data Warehouse (required) Snowflake + Cortex AI (Cortex Agents, Cortex Search, Cortex Analyst, Semantic Views) Data Ingestion (required) Fivetran (strongly preferred); Airbyte or equivalent considered; Domo Writeback (transitional); Python for uncovered sources Data Transformation (required) dbt - models, tests, sources, snapshots, incremental, CI/CD BI / Visualization Domo (read-only MART layer) AI / LLM Claude (Anthropic) - direct API and via Cortex Field Service Platform ServiceTitan Productivity Stack Microsoft 365, SharePoint, Teams What We're Looking For Required - Data Engineering 4+ years owning production data pipelines as a data engineer or analytics engineer Expert SQL; strong data modeling - star schema, SCD Types 1/2, incremental load patterns Hands-on dbt in production - models, tests, sources, snapshots, macros, CI/CD, project ownership Managed connector experience - Fivetran strongly preferred; Airbyte, Stitch, or equivalent considered if connector setup, schema mapping, schema change policies, and MAR/MTU cost management are demonstrated Direct Snowflake experience - schema design, warehouse management, RBAC, query optimization, task scheduling; SnowPro Core preferred Domain MART design - grain, SLA, ownership, and data contracts a small team can maintain Pipeline monitoring and observability - SLA definition, drift alerting, and incident response before business users are impacted; experience with Elementary, Monte Carlo, or dbt's built-in freshness and source monitors preferred Python for custom ingestion - SFTP, REST APIs, email-delivered files Data quality as default - dbt tests, freshness monitors, and schema assertions in every pipeline Required - AI Foundation Genuine drive to build AI capabilities; understands clean data is the prerequisite to reliable AI LLM API experience (Anthropic, OpenAI, or equivalent) - prompt engineering, structured outputs, basic agent patterns Familiarity with RAG and vector search; able to implement Cortex Search without prior vector DB experience Python for pipeline scripting and API integration Preferred Snowflake Cortex AI hands-on - Cortex Analyst, Cortex Search, Cortex Agents, or Semantic Views Multi-location or multi-brand data environment ServiceTitan or field service platform experience AI governance framework experience (NIST AI RMF or equivalent) Interested in hearing more? Easy Apply now by clicking the "Quick Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:

This Jobot Job is hosted by: Merwan Zattam Are you a fit? Easy Apply now by clicking the "Quick Apply" button and sending us your resume. Salary: $120,000 - $150,000 per year A bit about us: We are a technology and engineering organization focused on delivering innovative solutions for complex, mission-critical environments. Our teams bring together deep technical expertise, practical problem-solving, and a commitment to delivering solutions that make a measurable impact. We partner with government and defense organizations to tackle challenging programs across systems engineering, software development, data science, artificial intelligence, cybersecurity, and advanced technology. Our people work on meaningful projects where reliability, security, and performance matter. We believe the best solutions come from talented people who are empowered to think creatively, collaborate closely, and solve difficult problems. If you're looking for an opportunity to work on challenging technology while supporting important missions, we'd love to hear from you. Why join us? Our client offers highly competitive compensation packages, comprehensive benefits, and a collaborative, people-first culture that promotes innovation, professional growth, and long-term career development. We are committed to creating an environment where employees are empowered to make an impact, work alongside highly talented teams, and contribute to meaningful, mission-critical initiatives in a supportive and forward-thinking workplace. Job Details Transport Network Automation Engineer Position Overview We are seeking an experienced Transport Network Automation Engineer to design, develop, and maintain an end-to-end network automation framework that transforms engineering designs into validated, device-specific configurations and controlled production deployments. This role will integrate Cisco Modeling Labs (CML) for network simulation and design validation, Robot Framework for automated testing, and Cisco Catalyst Center for production inventory, templating, provisioning, assurance, and compliance. The ideal candidate combines deep enterprise networking expertise with strong network automation skills and will help improve the repeatability, reliability, security, and traceability of multi-site network deployments while reducing manual configuration and engineering effort. Key Responsibilities Network Design & Automation Partner with Network and Transport Solution Engineers to translate network designs, diagrams, and technical requirements into structured, machine-readable data. Develop and maintain data models for sites, devices, interfaces, IP addressing, VLANs, routing, QoS, security, management, and monitoring. Identify incomplete, conflicting, or invalid design information before configuration generation and deployment. Establish standardized design inputs, naming conventions, validation rules, and reusable automation patterns. Separate common configurations from site-specific, device-specific, and platform-dependent requirements. Maintain end-to-end traceability from network design through testing, deployment, and production validation. Cisco Modeling Labs (CML) Automate CML lab creation, configuration, startup, testing, and teardown using APIs and approved automation tools. Map logical network devices and interfaces to appropriate CML virtual nodes and links. Generate and apply configurations to CML environments for pre-production validation. Identify configuration errors, addressing issues, routing problems, missing variables, and design defects before production deployment. Validate routing adjacencies, VLANs, trunking, management connectivity, route propagation, inter-site connectivity, and expected failure scenarios. Capture logs, test results, configuration snapshots, software images, and lab information for engineering documentation and audit purposes. Identify functionality that requires physical-hardware validation when virtualization cannot fully reproduce platform-specific behavior. Robot Framework & Automated Testing Integrate Robot Framework testing into the network validation lifecycle. Develop parameterized automated tests using approved network design and device data. Build positive, negative, regression, resiliency, smoke, integration, and acceptance tests. Automate validation of routing, connectivity, configuration completeness, management-plane controls, and expected operational states. Publish test results and associate them with applicable designs, lab environments, template versions, and deployment packages. Build repeatable regression testing environments for network templates and automation changes. Cisco Catalyst Center Develop, organize, version, and maintain Cisco Catalyst Center configuration templates. Create reusable, modular, and platform-aware templates for Cisco network devices. Define template variables, mandatory fields, dependencies, allowed values, and validation rules. Generate device-specific and site-specific configuration inputs from approved engineering data. Map sites, device roles, hardware platforms, software releases, and configuration requirements to appropriate templates. Use Catalyst Center APIs and SDKs to retrieve and manage inventory, sites, templates, devices, compliance information, assurance data, and deployment status. Automate controlled provisioning workflows while maintaining required approvals, change controls, and audit records. Support configuration compliance, drift detection, remediation, and post-deployment validation. Network Automation & Orchestration Develop orchestration workflows connecting network design data, CML topology creation, automated testing, and production deployment. Establish a common source of truth to minimize manual data entry across engineering documents, labs, testing platforms, templates, and production systems. Ensure only approved and successfully validated configuration artifacts progress into production. Implement automated unit, integration, regression, and network-functional testing. Develop preflight checks, dry-run capabilities, approval gates, maintenance-window controls, and device reachability validation. Support configuration backups, deployment sequencing, concurrency controls, retry policies, rollback, and recovery procedures. Design automation to safely handle partial deployments, connectivity failures, unsuccessful tasks, and devices requiring manual intervention. Ensure automation is repeatable, auditable, and does not unintentionally overwrite unrelated network configurations. Engineering Collaboration & Technical Leadership Serve as a technical bridge between network engineering, architecture, cybersecurity, deployment, and operations teams. Guide engineers in creating automation-ready network designs and complete implementation packages. Troubleshoot and explain network design issues, automation failures, test failures, template behavior, platform limitations, and deployment risks. Recommend network and configuration standardization to reduce unnecessary complexity. Perform root-cause analysis across design, data, automation, testing, platform, and operational issues. Develop technical documentation, implementation guidance, troubleshooting procedures, and knowledge-transfer materials. Provide technical mentoring and peer review to other engineers. Required Qualifications Bachelor's degree in Computer Science, Information Technology, Network Engineering, Telecommunications, Electrical Engineering, Systems Engineering, or a related technical discipline. Typically 8-12 years of relevant professional experience with a bachelor's degree or 6-10 years with a master's degree. Extensive experience with enterprise networking, including routing, switching, LAN/WAN, data center networking, carrier transport, or network architecture. Strong understanding of IPv4/IPv6, OSPF, BGP, EIGRP, IS-IS, static routing, route redistribution, summarization, filtering, path selection, and routing policies. Experience leading complex technical implementations, migrations, modernization initiatives, or engineering workstreams. Experience across the engineering lifecycle, including requirements analysis, solution design, integration, testing, implementation, documentation, deployment, and transition to operations. Demonstrated ability to troubleshoot complex technical issues spanning multiple systems, technologies, devices, or locations. Experience with network automation, infrastructure-as-code, APIs, source control, configuration validation, and automated testing. Experience providing technical leadership, mentoring, peer review, or training to engineering teams. Preferred Technical Experience Hands-on experience with Cisco Modeling Labs (CML). Experience with Cisco Catalyst Center configuration templates, APIs, provisioning, assurance, and compliance. Experience developing automated network tests using Robot Framework or comparable automation/testing frameworks. Experience with API-driven network automation and orchestration. Experience with configuration templating and structured network data models. Experience with configuration compliance, drift detection, automated remediation, and production validation. Experience supporting geographically distributed, highly available, mission-critical, or operationally sensitive network environments. Experience working across laboratory, integration, staging, and production network environments. Experience with network modernization, hardware refreshes, end-of-support remediation, site migrations, data center migrations, carrier transitions, or technology consolidation. Preferred Certifications Cisco Certified Network Professional (CCNP) Enterprise or comparable advanced networking certification. Cisco Certified Internetwork Expert (CCIE) Enterprise Infrastructure is beneficial but not required. Juniper, Arista, Nokia, Ciena . click apply for full job details

Work on Cutting-Edge Navy Defense Systems! Systems Requirements Engineer Active Secret Clearance Integrated Hardware/Software Systems Virginia or Rhode Island This Jobot Job is hosted by: Madeline Lazarus Are you a fit? Easy Apply now by clicking the "Quick Apply" button and sending us your resume. Salary: $120,000 - $135,000 per year A bit about us: We are a defense technology company delivering mission-critical systems to the U.S. Navy. Our engineering teams develop prototype and production systems for submarines, aircraft carriers, and shore-based platforms, working in our own labs and alongside Navy customers and industry partners. Why join us? Direct impact on U.S. Navy submarine combat systems Full life cycle ownership, from concept through fielding Lab work plus hands-on time at customer and partner sites Small agile teams with software, hardware, product, and test engineers Sign-on bonus, 401(k) with company match, profit sharing plan, medical, dental, vision, FSA, life insurance, PTO, holidays, and tuition and training reimbursement Job Details Role Overview You will lead systems engineering activities across the full development life cycle, including requirements, architecture, interfaces, integration, and verification and validation. You will own technical work end to end, resolve stakeholder conflicts, brief Navy customers, and mentor junior systems engineers. What You'll Own Requirements analysis, functional and performance analysis, architecture evaluation, trade studies, integration, and V&V Stakeholder needs elicitation, requirements conflict resolution, and technical communication with internal teams and Navy customers Bidirectional traceability from stakeholder needs through system requirements, design, and V&V results System interfaces and Interface Control Documents (ICDs) across hardware, software, and external systems V&V planning, execution, and reporting, including test plans, procedures, and reports Technical risk identification, mitigation planning, and tracking to closure Mentorship of junior systems engineers and review of their engineering products What You Bring U.S. citizenship and an active DoD Secret clearance at time of hire Bachelor's in Systems, Electrical, or Computer Engineering, Computer Science, or related field 5 to 10 years of professional systems engineering experience Full life cycle experience on integrated hardware/software systems Requirements management in IBM DOORS, Jama, or similar, including traceability SysML modeling in Cameo/MagicDraw or similar Authoring ICDs, system specifications, and architecture documentation Developing and executing V&V plans, procedures, and reports Strong written, verbal, and briefing skills with customers and program leadership Preferred Navy combat, weapon, submarine, or acoustic systems MBSE on a program of record RM&A analysis and environmental qualification testing System accreditation, certification, or DoD RMF support Fielding, installation, or test events at Navy or partner sites Linux-based and containerized environments INCOSE CSEP or ASEP Interested in hearing more? Easy Apply now by clicking the "Quick Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot's policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here:

This job is with Gilead Sciences Inc., an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. At Gilead, we're creating a healthier world for all people. For more than 35 years, we've tackled diseases such as HIV, viral hepatitis, COVID-19 and cancer - working relentlessly to develop therapies that help improve lives and to ensure access to these therapies across the globe. We continue to fight against the world's biggest health challenges, and our mission requires collaboration, determination and a relentless drive to make a difference. Every member of Gilead's team plays a critical role in the discovery and development of life-changing scientific innovations. Our employees are our greatest asset as we work to achieve our bold ambitions, and we're looking for the next wave of passionate and ambitious people ready to make a direct impact. We believe every employee deserves a great leader. People Leaders are the cornerstone to the employee experience at Gilead and Kite. As a people leader now or in the future, you are the key driver in evolving our culture and creating an environment where every employee feels included, developed and empowered to fulfil their aspirations. Join Gilead and help create possible, together. Job Description This Data Platform Engineer will have the unique opportunity to apply cutting-edge data and analytics technologies to one of the most meaningful challenges in healthcare: ensuring the quality of medicines that improve and save lives. As a pivotal member of R&D Quality, this role will help transform how quality insights are generated, scaled, and acted upon across Gilead's drug development and clinical research programs. Through the development of robust data pipelines and advanced analytics platforms, the successful candidate will enable more proactive quality oversight, smarter decision-making, and continuous improvement, ultimately supporting Gilead's mission to deliver life-changing therapies to patients worldwide. The Data Platform Engineer will partner with the Quality Analytics & Insights team, a small, high-impact group responsible for advancing data and analytics capabilities across R&D Quality. This role will build and maintain the data infrastructure that supports Quality Performance and Quality Health analytics focused on signal detection, risk analytics, early identification of emerging issues, mitigation strategies, and continuous improvement. Working closely with analytics professionals, the engineer will transform analytical prototypes into scalable, production-ready solutions through robust data pipelines, cloud infrastructure, monitoring, and automation. The role will collaborate directly with Quality teams, IT, and global delivery teams to support key Quality System elements and programs, including Audit, Deviation, CAPA, Risk Management, Escalation/Serious Breach, and Quality Analytics, while helping define the technology roadmap for next-generation analytics and automation across the organization. Primary Responsibilities Data Engineering Technical Ownership: Operate as a self-directed contributor who scopes, plans, and drives initiatives end-to-end - translating ambiguous Quality problems into technical solutions, making sound architectural trade-offs, and delivering production outcomes with minimal oversight. Infrastructure & Environment Automation: Independently provision and manage cloud infrastructure using infrastructure-as-code and containerization, standing up reproducible, scalable environments for data processing, application deployment, and analytics with minimal reliance on external teams. Application Lifecycle Management: Develop and maintain pipelines to transition analytics applications and data products from development to production, including packaging, CI/CD, automated testing, and deployment. Support reliable delivery of Quality use cases such as signal detection, risk analytics, and Quality Performance/Quality Health analytics. Data Pipeline Development: Design robust batch and streaming data workflows; integrate, define, and manage data sets, lineage, and reuse across QMS data sources (e.g., Audit, Deviation, CAPA, Risk Management). Data Orchestration: Author and schedule reliable, observable workflows using orchestration tools and distributed processing, ensuring dependencies, retries, and SLAs are handled without manual intervention. Production Operations & Monitoring: Ensure the reliability and scalability of data pipelines and analytics applications; implement effective logging, tracing, and alerting. Establish monitoring for data quality, pipeline performance, and service health, paying particular attention to QMS data feeds, where low-frequency quality signals amplify the impact of anomalies. Collaboration & Enablement Cross-functional Partnership: Work closely with analytics professionals, Quality analysts, and stakeholders across R&D Quality programs (e.g., Audit, Deviation, CAPA, Risk Management, Escalation/Serious Breach). Provide frameworks, templates, and guardrails that accelerate analytics delivery. Testing & Validation: Demonstrate a strong focus on testing by setting up frameworks for data pipelines, analytics applications, and production code. Design validation pipelines with automated quality gates, including type checking, linting, integration tests, and contract tests. Documentation & Release Management: Develop clear, detailed guides, operational playbooks, and user instructions. Coordinate releases with IT and the global team; maintain runbooks, rollback strategies, and change tickets. Security & Compliance: Apply security, access-control, and data-governance best practices across pipelines and infrastructure, ensuring solutions meet the expectations of a validated, GxP-regulated environment. Innovation & Technical Strategy Technology Evaluation & Roadmap Input: Evaluate emerging data, cloud, and analytics tooling; prototype promising approaches and recommend adoption, contributing to the technical roadmap for next-generation Quality analytics and automation. Tech Stack Basic Programming & scripting: Python and SQL; scripting with Python, Bash, or PowerShell. Source control: Git and source control management. CI/CD & release management: Working knowledge of CI/CD tools and release management (e.g., GitHub Actions). Cloud platforms: Hands-on experience with a major cloud provider (AWS or Azure). Containers: Container technologies (Docker; Kubernetes). Data platform: Databricks. Preferred Cloud infrastructure / infrastructure-as-code: Terraform; broader cloud engineering experience (AWS preferred). Monitoring & logging: Datadog, Splunk, CloudWatch, or Prometheus. Infrastructure concepts: Understanding of networking, security, and infrastructure fundamentals. Basic Qualifications: Bachelor's Degree and Eight Years' Experience OR Masters' Degree and Six Years' Experience OR PhD / PharmD Preferred Qualifications: Degree in computer science, computer engineering, information systems, or a related discipline with relevant experience in data engineering, platform engineering, or data operations Significant hands-on experience operationalizing data and analytics solutions end-to-end, including data engineering, pipeline development, deployment, and production monitoring. Strong programming skills in key languages such as Python, SQL, Go, and TypeScript, with proven ability to manipulate large and complex datasets using distributed computing technologies. Familiarity with AWS cloud services. Strong troubleshooting and problem-solving skills. Excellent verbal and written communication skills, with the ability to present complex findings to both technical and non-technical audiences and a strong orientation toward teamwork in a fast-paced, regulated environment. Experience building, packaging, and maintaining data processing libraries and analytics applications in production. Experience with CI/CD, infrastructure-as-code, and cloud-based data platforms. Proficiency with Databricks distributed processing (Spark), data orchestration, and similar data and BI technologies. People Leader Accountabilities: Create Inclusion - knowing the business value of diverse teams, modeling inclusion, and embedding the value of diversity in the way they manage their teams. Develop Talent - understand the skills, experience, aspirations and potential of their employees and coach them on current performance and future potential. They ensure employees are receiving feedback and insight needed to grow, develop and realize their purpose. Empower Teams - connect the team to the organization by aligning goals, purpose, and organizational objectives, and holding them to account. They provide the support needed to remove barriers and connect their team to the broader ecosystem The salary range for this position is: $157,590.00 - $203,940.00. Gilead considers a variety of factors when determining base compensation, including experience, qualifications, and geographic location . click apply for full job details

Job Description Job Description This position will support a project providing business case and business process analysis for a large government agency and will be responsible for developing and creating organization-wide data policies, standards, and processes, and for oversight and strategy execution of the data governance and data quality framework. Work Location: Hybrid in Arlington, VA. Basic Required Qualifications and Skills: Note: These are mandatory items that all candidates must have when submitting an application to IMC for this position. Please ensure that your submission addresses each of these requirement items. Candidates without these required elements will not be considered. Bachelor's degree in a relevant discipline from an accredited institution of higher learning. 5+ years of experience with data architecture, data management, data analysis, IT process reengineering, systems analysis, design, and implementation, and data modeling Hands-on experience with data migration/integration of multiple data sources into a single repository, data analysis, and SQL programming language (e.g., ANSI SQL). Familiarity with reporting/ad-hoc analysis tools such as Tableau, Power BI. Knowledge of Master Data Management principles, data integration and data migration, and Microsoft Power Apps. Expert knowledge of MS Office Suite (Word, SharePoint, Excel, and PowerPoint). Excellent communication, consultation, conflict resolution, negotiation, and facilitation skills. Able to: Contribute to creating, refining, and documenting team business processes (e.g., .SOPs, design documents, process diagrams, etc.) in a highly flexible environment. Be flexible and able to thrive in a time-sensitive environment to meet strict deadlines with sudden and unpredictable needs. Independently synthesize unstructured feedback from stakeholders and consider relevant data to present quality business solutions. Proven problem-solving skills with demonstrated ability to think out of the box and generate creative solutions; ability to break a complex problem down into its component parts and arrive at the appropriate solution in a timely fashion. Positive attitude, averse to the status quo, always looking to improve current processes and procedures; ability to see opportunities for change, capitalize on them, and implement them when appropriate for the benefit of the organization. A self-starter with a strong work ethic who sets high standards for self and others and demonstrates enthusiasm for the mission of the team. Pursuant to a government contract, this specific position requires U.S. Citizenship. Prefer to have an active DoD Secret clearance or higher to establish reciprocity for Moderate Risk Background Investigation (MBI) Public Trust T3 case type. Investigation closure date MUST be less than five years old. Must be able to obtain Moderate Risk Background Investigation (MBI) regardless. Essential Duties and Responsibilities: This position will include, but is not limited to, the following tasks: Create reports/dashboards leveraging Power BI. Perform data cleansing and standardization (e.g., removing duplicates, sanitization), assessing data quality, and eliminating irrelevant data to identify and interpret data patterns and trends. Plan and execute data migration strategies from legacy systems to modern databases. Assess data repositories for compliance with data governance policies and standards. Create database queries using ANSI SQL or other programming languages. Analyze data from various systems and formats and audit databases regularly to maintain data quality. Ensure data integrity and data standards within databases. Provide enterprise data solutions and enhance reporting capabilities. Maintain current databases and database objects. Coordinate with other team members to reach project milestones and deadlines. Identify areas for improvement in the current process. Collaborate and work with business users and IT partners to remediate identified gaps, using both manual and automated solutions. Recommend processes and create reports to continuously monitor data quality. Salary and Benefits Information: Please see the salary information listed at the beginning of this document, which is not a guarantee of compensation or salary. All salaries will be based on relevant experience, geographic location, and position and/or contractual requirements, which could fall outside of the listed range. Full-time positions at IMC are eligible to participate in any or all of the benefit programs offered, including 401(k) with a 3% employer match, paid time off, paid holidays, FSA spending, dental, vision, health insurance, company-sponsored AD&D, and life insurance. Additional voluntary benefits are offered, such as voluntary life, AD&D, accident, critical illness, hospital, and pet insurance. Benefits are subject to change. Positions at IMC may also be eligible for a bonus and/or other incentives. For more information about IMC's benefits, please visit our website at -imc/careers Background Information: Innovative Management Concepts, Inc. (IMC), a Service-Disabled Veteran-Owned Small Business, provides a broad range of information technology IT services to government and commercial customers by placing a high priority on modernization, enhancing business processes through technology, and creating efficiencies through automation. Since its founding in 1989, IMC has offered solutions and expertise in: IT operations and maintenance, data management, cyber security, systems and network engineering and administration, cloud/hosting services, software development, website services, software quality assurance and testing (including IV&V), and project management. IMC is certified in International Organization for Standardization (ISO) 9001 Quality Management, ISO 27001 Information Technology Security Management, ISO 20000 Information Technology Service Management, and ISO 14001 Environmental Management System. Committed to continuous improvement and information security, IMC has been appraised at level 3 of the CMMI Institute's Capability Maturity Model Integration for both Development and Services and we are CMMC Level 2 (Ver 2.0) compliant. Find out more about IMC at . We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law.