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Requisition ID # 172494 Job Category: Information Technology Job Level: Director/Chief Business Unit: Information Technology Work Type: Hybrid Job Location: Oakland Position Summary The Chief AI & Data Architect is accountable for the enterprise wide strategy, governance, and value realization of Artificial Intelligence, Advanced Analytics, and Data. This role ensures that data is trusted, governed, reusable, and AI ready, and that AI capabilities are deployed safely, compliantly, and at scale across a regulated enterprise. As this is a director level role, this person typically does not own all enterprise AI execution directly, but they orchestrate the strategy, prioritization, standards, and cross-functional alignment needed to make AI investments produce measurable business outcomes. The Chief serves as the bridge between data foundations and AI driven outcomes, ensuring alignment across business strategy, technology platforms, risk management, and regulatory obligations. This position is hybrid, working from your remote office and the Oakland General Office Headquarters. Reporting Reports into the Senior Director, Enterprise Strategy & Architecture. Job Responsibilities Enterprise AI & Data Strategy Define and own the integrated AI and Data strategy, roadmap, and operating model aligned with enterprise goals and regulatory commitments. Partner with leaders to prioritize AI and data use cases that deliver measurable value (safety, reliability, efficiency, customer outcomes). Ensure AI investments are grounded in strong data foundations and avoid unmanaged experimentation. Develop the enterprise AI vision, principles, and multi-year roadmap Align AI priorities to business strategy, growth goals, cost optimization, risk reduction, customer experience, and operational efficiency Identify where AI should be used-and where it should not be used Establish standards across: Generative AI Predictive AI / machine learning Automation / intelligent workflows AI-enabled analytics and decision support Reduce duplication and fragmentation across AI and analytics efforts. Data Architecture Serve as owner for enterprise data architecture including developing strategy, standards Ensure data policies, standards, and controls support AI/ML, GenAI, and analytics use cases. Establish standards for Data Products Ensure the enterprise data architecture is fit-for-purpose for AI at scale, not just reporting. Define the target-state data architecture principles to support AI (e.g., data products, data mesh/fabric, feature-ready data layers) Align data architecture to AI use cases such as: GenAI (context + retrieval layers) ML models (training + feature pipelines) Real-time decisioning (streaming architectures) Advocate for architecture patterns that enable: Structured and unstructured data integration Metadata-driven pipelines High-quality, reusable datasets for AI Ensure AI strategy is grounded in realistic data capabilities and constraints Define and enforce enterprise data standards that make AI scalable and reusable. Define standards for: Data modeling approaches (e.g., canonical models, domain-oriented models) Data product design (ownership, SLAs, discoverability) Feature engineering reuse and standardization Metadata and semantic layers to support AI explainability Ensure consistent handling of: structured vs. unstructured data (documents, images, logs, transcripts) embeddings and vector data (for GenAI) Promote "build once, reuse many" data principles AI Platform, Architecture & Delivery Own strategy for AI and data platforms, including model lifecycle management, data pipelines, and AI enablement. Ensure AI and data solutions are secure, scalable, auditable, and cost effective. Partner with all areas of IT to define reference architectures and approved patterns. Governance, Risk & Responsible AI Establish and enforce AI frameworks, including intake, classification, approval gates, and production readiness. Operationalize Responsible AI principles (privacy, transparency, explainability, human oversight). Collaborate closely with Legal, Cybersecurity, Privacy, Compliance, and Risk functions to ensure regulatory alignment. Executive & Board Engagement Serve as the enterprise technical authority on AI and Data for executive leadership, regulators, and the Board. Prepare executive recommendations, investment cases, and decision materials Act as a strategic advisor to executives on AI opportunities and implications Translate complex technical topics into clear, decision oriented executive insights. Monitor external technology, regulatory, and industry trends to inform strategy. Facilitate alignment across business units and corporate functions Resolve conflicts around priorities, ownership, funding, and standards Lead or support steering committees and leadership forums related to AI Background Qualifications Minimum BA/BS degree in Computer Science, Engineering, Business or related field or equivalent experience. 12 years of enterprise architecture experience. Desired 15+ years of leadership experience across data, analytics, AI, or enterprise technology. Proven experience delivering enterprise scale AI and data programs in complex, regulated environments. Strong understanding of data modeling, cloud platforms, AI/ML lifecycle management, and risk controls. Executive leadership presence with the ability to influence across different lines of business including operations, and IT. MA/MS in Computer Science, Information Systems, Information Security or other Technology Discipline Experience with specific technologies, systems and platforms related to a domain or associated sub-domain. Experience with hardware, networks, software technologies, applications, and modeling techniques related to a domain or associated sub-domain. Experience consulting with IT leadership on creating a strategic vision and direction with specific technologies, systems and platforms related to a domain. Success Measures Measurable enterprise value delivered from AI and analytics. Reduction in ungoverned or duplicative AI initiatives. Increased confidence from all Functional Areas, regulators, auditors, and executives in AI and data practices. AI becomes an enterprise capability, not just isolated experiments Leadership Qualities PG&E expects its leaders to conduct themselves with the highest ethics and integrity and to embody specific leadership qualities. Strategic Mindset Sees ahead to future possibilities and translates them into breakthrough strategies. Operates effectively, even when things are not certain, or the way forward is not clear. A Leader in the Community and Industry Effectively builds formal and informal relationship networks inside and outside the organization. Anticipates and balances the needs of multiple stakeholders. Demonstrates Safety Leadership A safety champion in words and deeds with respect to both employee and public safety. Creating and maintaining a speak up culture free of retaliation. Influences and Inspires Using various- communications that convey a clear understanding of the needs of different audiences. Maneuvering comfortably through complex policy, process, and people-related dynamics. Optimizes Team Performance Building teams with a strong identity that apply their diverse skills and perspectives to achieve common goals. Creating a climate where people are developed and motivated to do their best to help the organization. Values Inclusion and Respects Individual Differences Recognizing the value that different perspectives and cultures bring to an organization. Fiscally Responsible Interpreting and applying understanding of key financial indicators to make better business decisions. Planning and prioritizing work to meet commitments aligned with organizational goals. Leads Ethically and in a Compliant Manner Sponsoring and sustaining a high integrity speak-up corporate culture which prioritizes safety, compliance, and ethics. Building on necessary level of industry, company, and subject-matter expertise, including laws and regulations. Provides a High Level of Customer Service Building strong customer relationships and delivering hometown, customer-centric solutions. Compensation PG&E is providing the salary range that the company in good faith believes it might pay for this position at the time of the job posting. This compensation range is specific to the locality of the job. The actual salary paid to an individual will be based on multiple factors, including . click apply for full job details

Location: Remote, US basedSchedule: Part-time, 20 hours per week (Must work Monday-Thursday, EST business hours) Fridays off.Duration: 3 months (Start ASAP, ending early to mid-August 2026)Compensation Range: $32.00 - $38.00/hr W2We are seeking a highly skilled Freelance Graphic Designer / Senior Communications Specialist to join a premier national public health association for a 3-month temporary assignment. In this role, you will contribute directly to the advancement of public health practice by ensuring consistently high-quality design standards across multiple InDesign deliverables, including case studies, research reports, and multi-page publications.Reporting to the Director of Communications, you will collaborate closely with internal program directors, authors, and the publications manager to bring diverse public health topics to life. You will manage multiple design projects simultaneously from concept to final production, ensuring strict adherence to branding and visual quality control guidelines.Please note: Candidates must provide their own laptop and design equipment for this remote role.Responsibilities:Publication & Page Layout: Manage multiple Adobe InDesign projects from initial concept through final production and pre-press packaging. Create sophisticated layouts for multi-page publications, case studies, and research reports.Brand & Visual Asset Creation: Develop original illustrations or utilize internal photo libraries to create compelling layouts and associated web assets using advanced typography, imagery, and color theory.Client Collaboration & Consulting: Lead internal consultation meetings with program leaders to brainstorm requirements, present rough drafts, incorporate feedback, and ensure alignment with established brand guidelines.Project Management: Establish timelines, track project milestones, and balance competing priorities to meet strict deadlines (with multiple key products due by July 31, 2026). Complete weekly progress reports using tools like Smartsheet or Excel.Quality Control & Editing: Review all files for visual errors before publishing and apply copyediting/proofreading skills to enhance written materials. Qualifications:Education: Bachelor's degree in Graphic Design, Visual Arts, Communications, Marketing, or a related field is preferred.Technical Mastery: Advanced proficiency in Adobe Creative Suite (InDesign, Photoshop, Illustrator, Acrobat) and Microsoft Office (Word, Excel). Familiarity with Canva, iStock, or SharePoint is a plus.Design Expertise: A strong portfolio demonstrating a firm grasp of design principles, multi-page layout composition, typography, and strict brand adherence.Communication Skills: Advanced interpersonal skills with the ability to pitch design concepts clearly, collaborate with cross-functional teams, and accept constructive feedback gracefully.Content Skills: Solid writing, proofreading, and copyediting skills are highly preferred, along with experience developing creative or technical written materials.JOBID: 08 Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.At Cella, a randstad digital company, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Cella by randstad digital offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility). This posting is open for thirty (30) days.It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Job DescriptionJob Description Who We Are: Oasys International LLC (Oasys) is a fast-growing federal government contractor delivering high-quality technology consulting and professional services to civilian, defense, and homeland security agencies. We have been recognized on Inc. 5000's list of the fastest-growing companies in America for five consecutive years and named a Best Places to Work in Virginia for the past two years. Our success is driven by a talented team of technologists, consultants, engineers, and subject-matter experts who support complex federal missions with integrity and excellence. At Oasys, we foster a collaborative, merit-based culture that values continuous learning, professional growth, and work-life balance. We are committed to creating an inclusive, engaging environment where employees are recognized for their contributions and empowered to build meaningful, long-term careers. Position Summary: The Data Engineer will be pivotal in designing, developing, and maintaining robust ETL (Extract, Transform, Load) processes to ensure seamless data flow between our diverse data sources and target data stores. You will be responsible for building and optimizing automated pipelines, ensuring data quality, and accommodating future data format changes. This position requires a strong technical foundation and a proactive approach to problem-solving. Primary Responsibilities: Pipeline Design & Development: Design, develop, and implement scalable and efficient ETL pipelines using modern data integration tools and technologies. Data Transformation: Transform and cleanse data from various sources (databases, APIs, cloud storage, etc.) to ensure accuracy, consistency, and compliance with data governance policies. Data Store Management: Develop and maintain optimized data models and data warehousing solutions utilizing platforms like Oracle, PostgreSQL, Redshift, and EMR. Focus on performance tuning and query optimization. Automation & Monitoring: Build and maintain automated ETL jobs, incorporating robust monitoring and alerting mechanisms for proactive issue detection and resolution. Data Quality Assurance: Implement data quality checks and validation rules throughout the ETL process to guarantee data integrity. Documentation: Create and maintain comprehensive documentation for ETL processes, data models, and system configurations. Communication & Presentation: Effectively communicate complex technical concepts to both technical and non-technical stakeholders. Develop and deliver clear, concise presentations, reports, and data insights to support decision-making and drive business outcomes. Collaboration: Work closely with business stakeholders and other teams to understand data requirements and deliver effective solutions. Future-Proofing: Proactively assess and implement changes to data integration processes to accommodate evolving data formats, sources, and business needs. Ensuring designs accommodate potential future data changes. All other duties as assigned by leadership. Skills and Qualifications: ETL development with Glue ETL, Python, Pyspark, RDS. Solid understanding of data governance principles and data quality best practices. Ability to work independently and as part of a collaborative team in an Agile environment. Excellent problem-solving, analytical, and communication skills. Required Education and Experience: Bachelor's degree in Computer Science, Information Systems, or a related field. 10+ years of experience in data integration, ETL development, and data warehousing. Strong proficiency in SQL and experience with relational databases (e.g. Oracle, PostgreSQL) and NoSQL databases. Experienced with scripting languages such as Python or Shell scripting for automation and data manipulation. Experienced with cloud technologies, including AWS Glue, Lambda, CloudFormation/Ansible, S3, Redshift, and EMR. Experienced with Git, GitHub, CI/CD pipelines for DevOps and data engineering. Required Certifications: AWS certification (Minimum - Cloud Practitioner, AI Practitioner) Clearance Requirement: Must be a U.S. Citizen (No dual citizenship will be accepted) Ability to obtain a favorable Public Trust investigation Work Location: Fairfax, VA/Remote US Based Candidates Only Oasys is proud to be an equal opportunity employer for all protected groups, including protected veterans and individuals with disabilities.

Job DescriptionJob Description Who We Are: Oasys International LLC (Oasys) is a fast-growing federal government contractor delivering high-quality technology consulting and professional services to civilian, defense, and homeland security agencies. We have been recognized on Inc. 5000's list of the fastest-growing companies in America for five consecutive years and named a Best Places to Work in Virginia for the past two years. Our success is driven by a talented team of technologists, consultants, engineers, and subject-matter experts who support complex federal missions with integrity and excellence. At Oasys, we foster a collaborative, merit-based culture that values continuous learning, professional growth, and work-life balance. We are committed to creating an inclusive, engaging environment where employees are recognized for their contributions and empowered to build meaningful, long-term careers. Position Summary: The Data Engineer will be pivotal in designing, developing, and maintaining robust ETL (Extract, Transform, Load) processes to ensure seamless data flow between our diverse data sources and target data stores. You will be responsible for building and optimizing automated pipelines, ensuring data quality, and accommodating future data format changes. This position requires a strong technical foundation and a proactive approach to problem-solving. Primary Responsibilities: Pipeline Design & Development: Design, develop, and implement scalable and efficient ETL pipelines using modern data integration tools and technologies. Data Transformation: Transform and cleanse data from various sources (databases, APIs, cloud storage, etc.) to ensure accuracy, consistency, and compliance with data governance policies. Data Store Management: Develop and maintain optimized data models and data warehousing solutions utilizing platforms like Oracle, PostgreSQL, Redshift, and EMR. Focus on performance tuning and query optimization. Automation & Monitoring: Build and maintain automated ETL jobs, incorporating robust monitoring and alerting mechanisms for proactive issue detection and resolution. Data Quality Assurance: Implement data quality checks and validation rules throughout the ETL process to guarantee data integrity. Documentation: Create and maintain comprehensive documentation for ETL processes, data models, and system configurations. Communication & Presentation: Effectively communicate complex technical concepts to both technical and non-technical stakeholders. Develop and deliver clear, concise presentations, reports, and data insights to support decision-making and drive business outcomes. Collaboration: Work closely with business stakeholders and other teams to understand data requirements and deliver effective solutions. Future-Proofing: Proactively assess and implement changes to data integration processes to accommodate evolving data formats, sources, and business needs. Ensuring designs accommodate potential future data changes. All other duties as assigned by leadership. Skills and Qualifications: ETL development with Glue ETL, Python, Pyspark, RDS. Solid understanding of data governance principles and data quality best practices. Ability to work independently and as part of a collaborative team in an Agile environment. Excellent problem-solving, analytical, and communication skills. Required Education and Experience: Bachelor's degree in Computer Science, Information Systems, or a related field. 10+ years of experience in data integration, ETL development, and data warehousing. Strong proficiency in SQL and experience with relational databases (e.g. Oracle, PostgreSQL) and NoSQL databases. Experienced with scripting languages such as Python or Shell scripting for automation and data manipulation. Experienced with cloud technologies, including AWS Glue, Lambda, CloudFormation/Ansible, S3, Redshift, and EMR. Experienced with Git, GitHub, CI/CD pipelines for DevOps and data engineering. Required Certifications: AWS certification (Minimum - Cloud Practitioner, AI Practitioner) Clearance Requirement: Must be a U.S. Citizen (No dual citizenship will be accepted) Ability to obtain a favorable Public Trust investigation Work Location: Fairfax, VA/Remote US Based Candidates Only Oasys is proud to be an equal opportunity employer for all protected groups, including protected veterans and individuals with disabilities.

Job DescriptionJob Description Opportunity Overview Northramp is seeking a Data Scientist to join the team supporting client's Cloud program - a mission-critical effort to consolidate, modernize, and operate client's enterprise cloud services across IaaS, PaaS, and SaaS environments under FedRAMP High authorization. You will develop analytical models, business intelligence solutions, and AI/ML capabilities that help client derive actionable insight from its enterprise data. The role spans statistical analysis, machine learning, and data visualization - with Looker as the primary BI delivery platform - in support of program operations, resource planning, and mission-critical decision-making. This role is part of Northramp's integrated delivery model, where engineers and advisors work as one team to bring sound judgment, disciplined execution, and deep federal experience to high-stakes modernization programs. Location & Work Arrangement Hybrid, based in the Washington, DC metro area. On-site presence at designated client locations is expected on a cadence aligned to program needs. Remote work is supported around mission and security requirements. This role is not open to candidates outside the DC region. The Ideal Candidate You turn data into decisions that program managers and agency leaders actually act on. You know when to reach for a simple statistical model and when the complexity of ML is actually warranted, and you've delivered BI solutions that get used rather than ignored. You communicate findings clearly to non-technical stakeholders and you operate with rigor around data quality and reproducibility. Key Responsibilities Design, develop, and maintain LookML data models, Looks, and Looker dashboards that deliver actionable business intelligence to client program stakeholders and leadership. Build and deploy machine learning models for classification, prediction, anomaly detection, and natural language processing use cases using Python (scikit-learn, TensorFlow, or PyTorch) and cloud AI/ML services (Vertex AI, SageMaker, or Azure ML). Conduct exploratory data analysis, statistical modeling, and hypothesis testing to surface patterns and insights in client operational and program data. Develop and maintain feature engineering pipelines, model training workflows, and model serving infrastructure integrated with cloud data platforms and BigQuery. Partner with Data Engineers to define data requirements, validate pipeline outputs, and ensure analytical datasets meet quality and completeness standards. Collaborate with program leadership and client government stakeholders to translate mission requirements into analytical problem definitions and measurable KPIs. Implement responsible AI practices - model explainability, bias assessment, and documentation standards - consistent with federal AI governance frameworks. Build and maintain automated reporting and alerting workflows that surface operational metrics and anomalies to the right stakeholders at the right time. Document data science methodologies, model assumptions, validation results, and performance metrics to support ATO and audit requirements. Mentor junior analysts and support adoption of data-driven practices across the delivery team. Requirements Required Qualifications 3 to 6 years of progressive, hands-on experience in data science or applied analytics with production model deployment experience. Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, or a related quantitative field. Proficiency in Python for data science (pandas, NumPy, scikit-learn, statsmodels) and SQL for data extraction and analysis. Hands-on experience with Looker - LookML modeling, dashboard development, and content management. Experience training, validating, and deploying machine learning models in cloud environments (Vertex AI, SageMaker, or Azure ML). Strong grounding in statistical methods: regression, classification, time series analysis, and A/B testing. Working knowledge of BigQuery or equivalent cloud data warehouses for large-scale analytical workloads. Experience with data visualization best practices and BI tooling beyond Looker (e.g., Tableau, Power BI, or Google Looker Studio). Familiarity with MLOps principles: model versioning, experiment tracking (MLflow or Vertex AI Experiments), and deployment pipelines. Understanding of federal AI governance guidance (OMB M-24-10 or equivalent) and FedRAMP data handling requirements. U.S. Citizenship and the ability to obtain and maintain a DHS suitability / Public Trust clearance. Desired Qualifications Google Cloud Professional Machine Learning Engineer or equivalent AWS/Azure ML certification. Looker certification or demonstrated advanced LookML experience. Security+ or equivalent certification. Experience with NLP, computer vision, or generative AI application development. Federal data science or analytics program experience. Active Public Trust or higher clearance. Clearance DHS suitability and a Public Trust background investigation are required for this role. Active Public Trust or higher clearance is preferred. Selected applicants will be subject to a security investigation and may need to meet eligibility requirements for access to controlled or classified information. About Northramp Northramp is a federal consulting firm that helps agencies modernize and operate mission-critical systems with sound judgment, disciplined execution, and deep federal experience. We specialize in high-stakes digital transformation in highly regulated environments where failure is not an option. Our integrated delivery model brings engineers and advisors together as one team, combining technical depth with an operator's mindset to move organizations from strategy to execution with confidence. We hold high standards because our clients' missions demand it, and we support our people in meeting them. Northramp is where you are challenged, trusted, and supported - a place for people who take pride in their work, value clarity and follow-through, and want to make a meaningful impact through technology. Equal Opportunity Northramp is an Equal Opportunity Employer. We are committed to creating an inclusive environment for all employees and applicants. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other characteristic protected by federal, state, or local law. Northramp participates in E-Verify. 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 Work From Home Wellness Resources Employee Bonus Programs

Job DescriptionJob Description Opportunity Overview Northramp is seeking a Data Scientist to join the team supporting client's Cloud program - a mission-critical effort to consolidate, modernize, and operate client's enterprise cloud services across IaaS, PaaS, and SaaS environments under FedRAMP High authorization. You will develop analytical models, business intelligence solutions, and AI/ML capabilities that help client derive actionable insight from its enterprise data. The role spans statistical analysis, machine learning, and data visualization - with Looker as the primary BI delivery platform - in support of program operations, resource planning, and mission-critical decision-making. This role is part of Northramp's integrated delivery model, where engineers and advisors work as one team to bring sound judgment, disciplined execution, and deep federal experience to high-stakes modernization programs. Location & Work Arrangement Hybrid, based in the Washington, DC metro area. On-site presence at designated client locations is expected on a cadence aligned to program needs. Remote work is supported around mission and security requirements. This role is not open to candidates outside the DC region. The Ideal Candidate You turn data into decisions that program managers and agency leaders actually act on. You know when to reach for a simple statistical model and when the complexity of ML is actually warranted, and you've delivered BI solutions that get used rather than ignored. You communicate findings clearly to non-technical stakeholders and you operate with rigor around data quality and reproducibility. Key Responsibilities Design, develop, and maintain LookML data models, Looks, and Looker dashboards that deliver actionable business intelligence to client program stakeholders and leadership. Build and deploy machine learning models for classification, prediction, anomaly detection, and natural language processing use cases using Python (scikit-learn, TensorFlow, or PyTorch) and cloud AI/ML services (Vertex AI, SageMaker, or Azure ML). Conduct exploratory data analysis, statistical modeling, and hypothesis testing to surface patterns and insights in client operational and program data. Develop and maintain feature engineering pipelines, model training workflows, and model serving infrastructure integrated with cloud data platforms and BigQuery. Partner with Data Engineers to define data requirements, validate pipeline outputs, and ensure analytical datasets meet quality and completeness standards. Collaborate with program leadership and client government stakeholders to translate mission requirements into analytical problem definitions and measurable KPIs. Implement responsible AI practices - model explainability, bias assessment, and documentation standards - consistent with federal AI governance frameworks. Build and maintain automated reporting and alerting workflows that surface operational metrics and anomalies to the right stakeholders at the right time. Document data science methodologies, model assumptions, validation results, and performance metrics to support ATO and audit requirements. Mentor junior analysts and support adoption of data-driven practices across the delivery team. Requirements Required Qualifications 3 to 6 years of progressive, hands-on experience in data science or applied analytics with production model deployment experience. Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, or a related quantitative field. Proficiency in Python for data science (pandas, NumPy, scikit-learn, statsmodels) and SQL for data extraction and analysis. Hands-on experience with Looker - LookML modeling, dashboard development, and content management. Experience training, validating, and deploying machine learning models in cloud environments (Vertex AI, SageMaker, or Azure ML). Strong grounding in statistical methods: regression, classification, time series analysis, and A/B testing. Working knowledge of BigQuery or equivalent cloud data warehouses for large-scale analytical workloads. Experience with data visualization best practices and BI tooling beyond Looker (e.g., Tableau, Power BI, or Google Looker Studio). Familiarity with MLOps principles: model versioning, experiment tracking (MLflow or Vertex AI Experiments), and deployment pipelines. Understanding of federal AI governance guidance (OMB M-24-10 or equivalent) and FedRAMP data handling requirements. U.S. Citizenship and the ability to obtain and maintain a DHS suitability / Public Trust clearance. Desired Qualifications Google Cloud Professional Machine Learning Engineer or equivalent AWS/Azure ML certification. Looker certification or demonstrated advanced LookML experience. Security+ or equivalent certification. Experience with NLP, computer vision, or generative AI application development. Federal data science or analytics program experience. Active Public Trust or higher clearance. Clearance DHS suitability and a Public Trust background investigation are required for this role. Active Public Trust or higher clearance is preferred. Selected applicants will be subject to a security investigation and may need to meet eligibility requirements for access to controlled or classified information. About Northramp Northramp is a federal consulting firm that helps agencies modernize and operate mission-critical systems with sound judgment, disciplined execution, and deep federal experience. We specialize in high-stakes digital transformation in highly regulated environments where failure is not an option. Our integrated delivery model brings engineers and advisors together as one team, combining technical depth with an operator's mindset to move organizations from strategy to execution with confidence. We hold high standards because our clients' missions demand it, and we support our people in meeting them. Northramp is where you are challenged, trusted, and supported - a place for people who take pride in their work, value clarity and follow-through, and want to make a meaningful impact through technology. Equal Opportunity Northramp is an Equal Opportunity Employer. We are committed to creating an inclusive environment for all employees and applicants. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other characteristic protected by federal, state, or local law. Northramp participates in E-Verify. 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 Work From Home Wellness Resources Employee Bonus Programs

Job DescriptionJob Description Capital Technology Group provides expert consulting services software development, digital transformation, human-centered design, data analytics and visualization, and cybersecurity. Our multidisciplinary teams use agile methodologies to rapidly and incrementally deliver value in close collaboration with our clients. For over a decade, we have been trusted by both federal and commercial clients to solve complex, mission-critical business challenges. The quality of our work has been recognized by our partners and peers through our inclusion in the Digital Services Coalition, a group of forward- thinking firms recognized for excellence in delivering IT services. Description Capital Technology Group (CTG) is on a mission to modernize and innovate the way the federal government delivers software. We are passionate about our work, dedicated to our clients, and committed to a culture of continuous learning and growth. For this role specifically, we are seeking an individual to help support high-impact, civic tech within the federal government. As an integral part of the program, the Data Engineer leads the team in evaluating new or emerging technologies using prototypes and/or proof of concepts, analyzes and communicates the benefits and risks in implementing solutions using the new technologies, lead teams to support the adoption of new technologies across the enterprise, and provides technical leadership by supervising and mentoring junior members of the team. Client Requirements: applicants MUST BE US Citizens and be able to obtain Public Trust clearance Responsibilities Design, build, and maintain scalable, efficient data pipelines and systems following modern data engineering best practices Evaluate and prototype new tools and technologies, assessing their risks and benefits Build and maintain scalable data pipelines and models using Databricks, dbt, and SQL (PostgreSQL) Develop robust data solutions leveraging AWS services (Redshift, RDS, S3, Glue, Lambda, DMS, CloudWatch) Implement data transformations and integrations using Python and Java Ensure reliability, performance, and maintainability of end-to-end data systems Implement infrastructure-as-code using Terraform for managing cloud resources Monitor and optimize system health and performance using CloudWatch and Splunk Mentor junior engineers and code reviews Clearly communicate technical topics to both technical and non-technical audiences Collaborate with cross-functional stakeholders to define data requirements and deliver solutions in agile environments Requirements Bachelor's degree in Computer Science, Engineering, or a related technical field 7+ years of professional experience in data engineering or related domains Strong hands-on experience with: Databricks (deep expertise required) AWS native Dbt, SQL (PostgreSQL), Python, Java, Harness, AWS (Redshift, RDS, S3, Glue, Lambda, DMS, CloudWatch), Data Pipelines, Data Modeling, System Maintenance, Data Integration, Performance Optimization Proven leadership experience in technical teams Strong analytical and problem-solving skills Experience working in agile, iterative software development environments Ability to quickly learn and apply new technologies and domain knowledge Excellent written and verbal communication skills, with the ability to explain complex topics to diverse audiences Nice to Have Skills Experience with Kafka (streaming/data pipelines) Experience with Docker and Kubernetes for containerization and orchestration Proficiency with Splunk for log aggregation and system monitoring Experience using Terraform for infrastructure automation and management Strong SQL skills, including performance tuning and complex query design Salary Range We are committed to offering a competitive salary for this position, with an estimated range of $130k to $165k annually. Please note that this range is intended to provide a general idea of what to expect; however, the final offer may vary based on experience, skills, and other factors. The stated range is not a guarantee and is subject to change. Full Time Employee Benefits Remote Work (Hybrid roles will be specified in the job post) Competitive Compensation Package Medical, Dental, and Vision Life Insurance, Short/Long Term Disability Employee Assistance Program 401(k) with 4% matching Liberal PTO vacation policy Generous Annual Continuing Education Annual Wellness Budget Bonus Incentive Programs (Employee referrals and performance-based rewards) Thanks for your interest in Capital Technology Group! Capital Technology Group is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.

Job DescriptionJob Description Capital Technology Group provides expert consulting services software development, digital transformation, human-centered design, data analytics and visualization, and cybersecurity. Our multidisciplinary teams use agile methodologies to rapidly and incrementally deliver value in close collaboration with our clients. For over a decade, we have been trusted by both federal and commercial clients to solve complex, mission-critical business challenges. The quality of our work has been recognized by our partners and peers through our inclusion in the Digital Services Coalition, a group of forward- thinking firms recognized for excellence in delivering IT services. Description Capital Technology Group (CTG) is on a mission to modernize and innovate the way the federal government delivers software. We are passionate about our work, dedicated to our clients, and committed to a culture of continuous learning and growth. For this role specifically, we are seeking an individual to help support high-impact, civic tech within the federal government. As an integral part of the program, the Data Engineer leads the team in evaluating new or emerging technologies using prototypes and/or proof of concepts, analyzes and communicates the benefits and risks in implementing solutions using the new technologies, lead teams to support the adoption of new technologies across the enterprise, and provides technical leadership by supervising and mentoring junior members of the team. Client Requirements: applicants MUST BE US Citizens and be able to obtain Public Trust clearance Responsibilities Design, build, and maintain scalable, efficient data pipelines and systems following modern data engineering best practices Evaluate and prototype new tools and technologies, assessing their risks and benefits Build and maintain scalable data pipelines and models using Databricks, dbt, and SQL (PostgreSQL) Develop robust data solutions leveraging AWS services (Redshift, RDS, S3, Glue, Lambda, DMS, CloudWatch) Implement data transformations and integrations using Python and Java Ensure reliability, performance, and maintainability of end-to-end data systems Implement infrastructure-as-code using Terraform for managing cloud resources Monitor and optimize system health and performance using CloudWatch and Splunk Mentor junior engineers and code reviews Clearly communicate technical topics to both technical and non-technical audiences Collaborate with cross-functional stakeholders to define data requirements and deliver solutions in agile environments Requirements Bachelor's degree in Computer Science, Engineering, or a related technical field 7+ years of professional experience in data engineering or related domains Strong hands-on experience with: Databricks (deep expertise required) AWS native Dbt, SQL (PostgreSQL), Python, Java, Harness, AWS (Redshift, RDS, S3, Glue, Lambda, DMS, CloudWatch), Data Pipelines, Data Modeling, System Maintenance, Data Integration, Performance Optimization Proven leadership experience in technical teams Strong analytical and problem-solving skills Experience working in agile, iterative software development environments Ability to quickly learn and apply new technologies and domain knowledge Excellent written and verbal communication skills, with the ability to explain complex topics to diverse audiences Nice to Have Skills Experience with Kafka (streaming/data pipelines) Experience with Docker and Kubernetes for containerization and orchestration Proficiency with Splunk for log aggregation and system monitoring Experience using Terraform for infrastructure automation and management Strong SQL skills, including performance tuning and complex query design Salary Range We are committed to offering a competitive salary for this position, with an estimated range of $130k to $165k annually. Please note that this range is intended to provide a general idea of what to expect; however, the final offer may vary based on experience, skills, and other factors. The stated range is not a guarantee and is subject to change. Full Time Employee Benefits Remote Work (Hybrid roles will be specified in the job post) Competitive Compensation Package Medical, Dental, and Vision Life Insurance, Short/Long Term Disability Employee Assistance Program 401(k) with 4% matching Liberal PTO vacation policy Generous Annual Continuing Education Annual Wellness Budget Bonus Incentive Programs (Employee referrals and performance-based rewards) Thanks for your interest in Capital Technology Group! Capital Technology Group is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.

Job DescriptionJob DescriptionCompany Description CapTech is an award-winning consulting firm that collaborates with clients to achieve what's possible through the power of technology. At CapTech, we're passionate about the work we do and the results we achieve for our clients. From the outset, our founders shared a collective passion to create a consultancy centered on strong relationships that would stand the test of time. Today we work alongside clients that include Fortune 100 companies, mid-sized enterprises, and government agencies, a list that spans across the country. Job Description CapTech Data Engineering consultants enable clients to build and maintain advanced data systems that bring together data from disparate sources in order to enable decision-makers. We build pipelines and prepare data for use by data scientists, data analysts, and other data systems. We love solving problems and providing creative solutions for our clients. Cloud Data Engineers leverage the client's cloud infrastructure to deliver this value today and to scale for the future. We enjoy a collaborative environment and have many opportunities to learn from and share knowledge with other developers, architects, and our clients. The Value You Deliver (or What You'll Do) Be trusted advisor to customers with best practices, methodologies, and technologies to implement data engineering solutions. Design, implement, and maintain modern data pipelines to deliver optimal solutions utilizing appropriate cloud technologies. Partner with product owners and business SMEs to analyze customer requirements and provide a supportable and sustainable engineered solution. Provide technical leadership and collaborate within and across teams to ensure that the overall technical solution is aligned with the customer needs. Stay current with the latest cloud technologies, patterns, and methodologies; share knowledge by clearly articulating results and ideas to key stakeholders. Qualifications Experience building/operating highly available distributed systems of data extraction, ingestion, and processing large data sets 5+ years of experience delivering data engineering solutions on cloud platform 5+ years of experience implementing modern designs using at least one cloud-based solution/platform (AWS, Azure, GCP) Advanced level proficiency with at least one ETL / Data Orchestration technology (Azure Data Factory, SSIS, Informatica, Alteryx, Ab Initio, Pentaho, Talend, Matillion) Experience cloud-based data warehousing and data lake solutions like Snowflake, Redshift, Databricks 5+ years of experience with SQL or NoSQL database (PostgreSQL, MySQL, SQL server, Oracle, Aurora, Presto, BigQuery) Expertise with SQL, database design/structure and data structure (star, snowflake schemas, de/normalized designs) 5+ years of experience with at least one programming language (Python, Java, R, C / C# / C++, Shell) Familiarity with one or more DevOps tools (git, Jenkins, CI/CD, Jira) Fundamental understanding of big data, open source, and data streaming concepts Ability to think strategically and provide recommendations utilizing traditional and modern architectural components based on business needs Experience providing technical leadership and mentoring other engineers in data engineering space Cloud certification on any platform a plus Additional Information We want everyone at CapTech to be able to envision a lasting and rewarding career here, which is why we offer a variety of career paths based on your skills and passions. You decide where and how you want to develop, and we help get you there with customizable career progression and a comprehensive benefits package to support you along the way. Alongside our suite of traditional benefits encompassing generous PTO, health coverage, disability insurance, paid family leave and more, we've launched extended benefits to help meet our employees' needs. CapTech is committed to providing a flexible work environment and helping our employees achieve a work-life balance that suits their individual needs. Employees must be available to work onsite in a client location or a CapTech office as requested. We allow CapTech employees to work remotely when compatible with CapTech and client needs. Learning & Development - Programs offering certification and tuition support, digital on-demand learning courses, mentorship, and skill development paths Modern Health -A mental health and well-being platform that provides 1:1 care, group support sessions, and self-serve resources to support employees and their families through life's ups and downs Carrot Fertility -Inclusive fertility and family-forming coverage for all paths to parenthood - including adoption, surrogacy, fertility treatments, pregnancy, and more - and opportunities for employer-sponsored funds to help pay for care Fringe -A company paid stipend program for personalized lifestyle benefits, allowing employees to choose benefits that matter most to them - ranging from vendors like Netflix, Spotify, and GrubHub to services like student loan repayment, travel, fitness, and more Employee Resource Groups - Employee-led committees that embrace and incorporate diversity and inclusion into our day-to-day operations Philanthropic Partnerships - Opportunities to engage in partnerships and pro-bono projects that support our communities. 401(k) Matching - Generous matching and no vesting period to help you continue to build financial wellness CapTech is an equal opportunity employer committed to fostering a culture of equality, inclusion and fairness - each foundational to our core values. We strive to create a diverse environment where each employee is encouraged to bring their unique ideas, backgrounds and experiences to the workplace. For more information about our Diversity, Inclusion and Belonging efforts, click HERE. As part of this commitment, CapTech will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact Laura Massa directly via email . At this time, CapTech cannot transfer nor sponsor a work visa for this position. Applicants must be authorized to work directly for any employer in the United States without visa sponsorship.

Job DescriptionJob DescriptionCompany Description CapTech is an award-winning consulting firm that collaborates with clients to achieve what's possible through the power of technology. At CapTech, we're passionate about the work we do and the results we achieve for our clients. From the outset, our founders shared a collective passion to create a consultancy centered on strong relationships that would stand the test of time. Today we work alongside clients that include Fortune 100 companies, mid-sized enterprises, and government agencies, a list that spans across the country. Job Description CapTech Data Engineering consultants enable clients to build and maintain advanced data systems that bring together data from disparate sources in order to enable decision-makers. We build pipelines and prepare data for use by data scientists, data analysts, and other data systems. We love solving problems and providing creative solutions for our clients. Cloud Data Engineers leverage the client's cloud infrastructure to deliver this value today and to scale for the future. We enjoy a collaborative environment and have many opportunities to learn from and share knowledge with other developers, architects, and our clients. The Value You Deliver (or What You'll Do) Be trusted advisor to customers with best practices, methodologies, and technologies to implement data engineering solutions. Design, implement, and maintain modern data pipelines to deliver optimal solutions utilizing appropriate cloud technologies. Partner with product owners and business SMEs to analyze customer requirements and provide a supportable and sustainable engineered solution. Provide technical leadership and collaborate within and across teams to ensure that the overall technical solution is aligned with the customer needs. Stay current with the latest cloud technologies, patterns, and methodologies; share knowledge by clearly articulating results and ideas to key stakeholders. Qualifications Experience building/operating highly available distributed systems of data extraction, ingestion, and processing large data sets 5+ years of experience delivering data engineering solutions on cloud platform 5+ years of experience implementing modern designs using at least one cloud-based solution/platform (AWS, Azure, GCP) Advanced level proficiency with at least one ETL / Data Orchestration technology (Azure Data Factory, SSIS, Informatica, Alteryx, Ab Initio, Pentaho, Talend, Matillion) Experience cloud-based data warehousing and data lake solutions like Snowflake, Redshift, Databricks 5+ years of experience with SQL or NoSQL database (PostgreSQL, MySQL, SQL server, Oracle, Aurora, Presto, BigQuery) Expertise with SQL, database design/structure and data structure (star, snowflake schemas, de/normalized designs) 5+ years of experience with at least one programming language (Python, Java, R, C / C# / C++, Shell) Familiarity with one or more DevOps tools (git, Jenkins, CI/CD, Jira) Fundamental understanding of big data, open source, and data streaming concepts Ability to think strategically and provide recommendations utilizing traditional and modern architectural components based on business needs Experience providing technical leadership and mentoring other engineers in data engineering space Cloud certification on any platform a plus Additional Information We want everyone at CapTech to be able to envision a lasting and rewarding career here, which is why we offer a variety of career paths based on your skills and passions. You decide where and how you want to develop, and we help get you there with customizable career progression and a comprehensive benefits package to support you along the way. Alongside our suite of traditional benefits encompassing generous PTO, health coverage, disability insurance, paid family leave and more, we've launched extended benefits to help meet our employees' needs. CapTech is committed to providing a flexible work environment and helping our employees achieve a work-life balance that suits their individual needs. Employees must be available to work onsite in a client location or a CapTech office as requested. We allow CapTech employees to work remotely when compatible with CapTech and client needs. Learning & Development - Programs offering certification and tuition support, digital on-demand learning courses, mentorship, and skill development paths Modern Health -A mental health and well-being platform that provides 1:1 care, group support sessions, and self-serve resources to support employees and their families through life's ups and downs Carrot Fertility -Inclusive fertility and family-forming coverage for all paths to parenthood - including adoption, surrogacy, fertility treatments, pregnancy, and more - and opportunities for employer-sponsored funds to help pay for care Fringe -A company paid stipend program for personalized lifestyle benefits, allowing employees to choose benefits that matter most to them - ranging from vendors like Netflix, Spotify, and GrubHub to services like student loan repayment, travel, fitness, and more Employee Resource Groups - Employee-led committees that embrace and incorporate diversity and inclusion into our day-to-day operations Philanthropic Partnerships - Opportunities to engage in partnerships and pro-bono projects that support our communities. 401(k) Matching - Generous matching and no vesting period to help you continue to build financial wellness CapTech is an equal opportunity employer committed to fostering a culture of equality, inclusion and fairness - each foundational to our core values. We strive to create a diverse environment where each employee is encouraged to bring their unique ideas, backgrounds and experiences to the workplace. For more information about our Diversity, Inclusion and Belonging efforts, click HERE. As part of this commitment, CapTech will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact Laura Massa directly via email . At this time, CapTech cannot transfer nor sponsor a work visa for this position. Applicants must be authorized to work directly for any employer in the United States without visa sponsorship.

Job DescriptionJob Description What Impact You'll Have GRVTY's team provides tactical data engineering solutions. We embed skilled Data Engineers, Data Scientists, and ETL Developers directly into intelligence analyst groups to be their go-to data wranglers. We develop new tools, code, and services to execute data engineering activities. Our engineers work to collect, process, and feed analytic tools, turning data into intelligence in response to immediate mission needs, with direct impact on real world situations. You will see your work used here on a daily basis, and you'll have the opportunity to support a variety of Sponsor mission organizations and mission partner organizations. This is a time of development and growth on the program, with an increasing number of missions being supported. The work is high impact and important, and the customer moves quickly. The environment is fast-paced, flexible, and open to innovation - you'll have more latitude here in choosing how to achieve results than on many other projects. The customer cares more about what you can do as opposed to your years of experience, and work hours are typically quite flexible - roll up your sleeves, get things done, and no one cares much about the specific hours that you work. The work space itself is also quite nice, and there is an excellent cafeteria! The tech stack on this team is rather huge and includes Python (Pandas, numpy, scipy, scikit-learn, standard libraries, etc.), Python packages that wrap Machine Learning (packages for NLP, Object Detection, etc.), Linux, AWS/C2S, Apache NiFi, Spark, pySpark, Hadoop, Kafka, ElasticSearch, Solr, Kibana, neo4J, MariaDB, Postgres, Docker, Puppet, and many others. Work on this program takes place in McLean, VA and in various field offices throughout Northern VA (we cannot support remote work) and requires a TS/SCI + Polygraph clearance (acceptable to this customer). What You'll Be Owning GRVTY is seeking a Data Engineer with a TS/SCI + Poly clearance (applicable to this customer) to join one of our top projects in Chantilly, VA. Responsibilities Develop new tools, code & services to execute data engineering activities. Activities include the following tasks: Movement of structure & unstructured data using approved methods. Execute data ingestion activities for storing data in a local or enterprise level location. View data in its source format. Develop code to format data that supports exploration. Analyze source data formats & work with Data Scientists & partners to determine the formats & transforms that best meet mission objectives. Develop code and tools to provide one-time & on-going data formatting & transformations into enterprise or boutique data models. Implement existing ETL code & best practices/standards. Develop an ETL Code Transition Plan. Develop & deliver documentation for each project including ETL mappings, code use guide, code location & access instructions. Facilitate Code Reviews. Provide consulting services to support data transport, ingestion, conditioning, access, & management. What You Must Have Active TS/SCI with Polygraph Clearance Ability and willingness to quickly learn a new tool Strong communication skills with both your teammates, and your leads SQL, Python, Pyspark experience. Willingness to do development type work when needed (junior level development at best) Ability to be a self starter and ask questions when needed Comfortable working with and manipulating data in compliance with the offices workflow Extract, Transform and Load (ETL) tools and processes. AWS APIs Linux Geospatial tools/data What Would Be Nice to Have Palantir Foundry Experience Kubeflow Experience with OCR and text extraction of PDFs. Experience with data validation / data quality after ETLing to be sure it's ready for end users Docker Jenkins Hadoop/Spark Kibana Kafka NiFi ElasticSearch Why Choose GRVTY The toughest national security challenges demand vision and ingenuity, not just resources. We deliver mission and technical expertise to outpace our adversaries. We're purpose-built to tackle the most entrenched, systemic national security issues around the world. We partner with our customers to help them overcome challenges in every corner of technology and defense-including the ones still being explored. Our growing capabilities create complementary advantages, giving on-the-ground operations the edge they need to succeed. We muster everything we have to answer every challenge presented, every day of our lives. At GRVTY, we believe that when our employees thrive, our company thrives. That's why we offer a comprehensive and competitive benefits package designed to support your well-being, growth, and work-life balance. • Robust health plan including medical, dental, and vision • Health Savings Account with company contribution • Annual Paid Time Off and Paid Holidays • Paid Parental Leave • 401k with generous company match • Training and Development Opportunities • Award Programs • Variety of Company Sponsored Events EEO Statement GRVTY, is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran and will not be discriminated against on the basis of disability. Anyone requiring reasonable accommodations should email or call with requested details. A member of the HR team will respond to your request within 2 business days. Know Your Rights: Workplace Discrimination is Illegal (eeoc.gov) Please review our current job openings and apply for the positions you believe may be a fit. If you are not an immediate fit, we will also keep your resume in our database for future opportunities.

Job DescriptionJob Description What Impact You'll Have GRVTY's team provides tactical data engineering solutions. We embed skilled Data Engineers, Data Scientists, and ETL Developers directly into intelligence analyst groups to be their go-to data wranglers. We develop new tools, code, and services to execute data engineering activities. Our engineers work to collect, process, and feed analytic tools, turning data into intelligence in response to immediate mission needs, with direct impact on real world situations. You will see your work used here on a daily basis, and you'll have the opportunity to support a variety of Sponsor mission organizations and mission partner organizations. This is a time of development and growth on the program, with an increasing number of missions being supported. The work is high impact and important, and the customer moves quickly. The environment is fast-paced, flexible, and open to innovation - you'll have more latitude here in choosing how to achieve results than on many other projects. The customer cares more about what you can do as opposed to your years of experience, and work hours are typically quite flexible - roll up your sleeves, get things done, and no one cares much about the specific hours that you work. The work space itself is also quite nice, and there is an excellent cafeteria! The tech stack on this team is rather huge and includes Python (Pandas, numpy, scipy, scikit-learn, standard libraries, etc.), Python packages that wrap Machine Learning (packages for NLP, Object Detection, etc.), Linux, AWS/C2S, Apache NiFi, Spark, pySpark, Hadoop, Kafka, ElasticSearch, Solr, Kibana, neo4J, MariaDB, Postgres, Docker, Puppet, and many others. Work on this program takes place in McLean, VA and in various field offices throughout Northern VA (we cannot support remote work) and requires a TS/SCI + Polygraph clearance (acceptable to this customer). What You'll Be Owning GRVTY is seeking a Data Engineer with a TS/SCI + Poly clearance (applicable to this customer) to join one of our top projects in Chantilly, VA. Responsibilities Develop new tools, code & services to execute data engineering activities. Activities include the following tasks: Movement of structure & unstructured data using approved methods. Execute data ingestion activities for storing data in a local or enterprise level location. View data in its source format. Develop code to format data that supports exploration. Analyze source data formats & work with Data Scientists & partners to determine the formats & transforms that best meet mission objectives. Develop code and tools to provide one-time & on-going data formatting & transformations into enterprise or boutique data models. Implement existing ETL code & best practices/standards. Develop an ETL Code Transition Plan. Develop & deliver documentation for each project including ETL mappings, code use guide, code location & access instructions. Facilitate Code Reviews. Provide consulting services to support data transport, ingestion, conditioning, access, & management. What You Must Have Active TS/SCI with Polygraph Clearance Ability and willingness to quickly learn a new tool Strong communication skills with both your teammates, and your leads SQL, Python, Pyspark experience. Willingness to do development type work when needed (junior level development at best) Ability to be a self starter and ask questions when needed Comfortable working with and manipulating data in compliance with the offices workflow Extract, Transform and Load (ETL) tools and processes. AWS APIs Linux Geospatial tools/data What Would Be Nice to Have Palantir Foundry Experience Kubeflow Experience with OCR and text extraction of PDFs. Experience with data validation / data quality after ETLing to be sure it's ready for end users Docker Jenkins Hadoop/Spark Kibana Kafka NiFi ElasticSearch Why Choose GRVTY The toughest national security challenges demand vision and ingenuity, not just resources. We deliver mission and technical expertise to outpace our adversaries. We're purpose-built to tackle the most entrenched, systemic national security issues around the world. We partner with our customers to help them overcome challenges in every corner of technology and defense-including the ones still being explored. Our growing capabilities create complementary advantages, giving on-the-ground operations the edge they need to succeed. We muster everything we have to answer every challenge presented, every day of our lives. At GRVTY, we believe that when our employees thrive, our company thrives. That's why we offer a comprehensive and competitive benefits package designed to support your well-being, growth, and work-life balance. • Robust health plan including medical, dental, and vision • Health Savings Account with company contribution • Annual Paid Time Off and Paid Holidays • Paid Parental Leave • 401k with generous company match • Training and Development Opportunities • Award Programs • Variety of Company Sponsored Events EEO Statement GRVTY, is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran and will not be discriminated against on the basis of disability. Anyone requiring reasonable accommodations should email or call with requested details. A member of the HR team will respond to your request within 2 business days. Know Your Rights: Workplace Discrimination is Illegal (eeoc.gov) Please review our current job openings and apply for the positions you believe may be a fit. If you are not an immediate fit, we will also keep your resume in our database for future opportunities.

This position is a member of the Energy Control Systems (ECS) Group and more specifically, the Real-time Control and Data Acquisition (RCDA) team. The RCDA Team has the overall technical responsibility for ensuring the Energy Management System (EMS) accurately represents the generation, transmission, and distribution assets of OPC, GTC, and the EMCs. This representation allows the generation and transmission control room operators the ability to economically dispatch generation, monitor facilities, control high side protective and sectionalizing devices, monitor alarms and events, collect and present accurate, reliable data in real-time. Job Duties: Engineer I and II: Assists with implementing transmission, generation, and distribution projects into the EMS system in accordance with RCDA standards. Assists with engineering reviews relating to EMS functions such as databases design and integrity, communications integrity, metering data timeliness and quality, and other related systems ability to provide quality and timeliness of information. Supports studies or services for GSOC, GTC, OPC, and other ECS associates regarding EMS/SCADA operations, systems, and data. This position is expected to assist other RCDA team members with EMS design and consulting services for EMC members. Engineer III - V: In addition to the responsibilities described above this individual is expected to possess power system, operational and EMS/SCADA knowledge. This individual should be able to provide technical assistance to the RCDA team members, operating, design, and field personnel. This position is expected to participate and be the technical lead in performing engineering analysis. This position may be responsible for external interfaces with other departments and/or companies regarding EMS/SCADA planning, operations, standards, policies, and procedures. Required Qualifications: Education: Bachelor of Science in Engineering or Engineering Technology, with the preferred discipline being Electrical Engineering Experience: Engineer I: Zero to Two (0 - 2) years of EMS/SCADA experience which might include deployment, system design, communications protocols, database and display design with experience in substation and/or transmission line design is desirable. Engineer II: 2+ years of EMS/SCADA experience which might include deployment, system design, communications protocols, database and display design. Candidate should have at least two (2) years of experience in power system operations. Some experience in substation and/or transmission line design is desirable. Engineer III: 4+ years of solid experience in EMS/SCADA deployment, system design, communications protocols, database and display design. Candidate should have at least four (4) years of experience in power system operations. Additional experience in substation and/or transmission line design is preferred. Work experience with a GE/Alstom EMS is preferred. Engineer IV: 6+ years of solid experience in EMS/SCADA deployment, system design, communications protocols, database and display design. Candidate should have at least six (6) years of experience in power system operations. Additional experience in substation and/or transmission line design is preferred. Work experience with a GE/Alstom EMS is preferred. Engineer V: 8+ years of solid experience in EMS/SCADA deployment, system design, communications protocols, database and display design. Candidate should have at least eight (8) years of experience in power system operations. Additional experience in substation and/or transmission line design is preferred. Work experience with a GE/Alstom EMS is preferred. Equivalent Experience: Engineer I: A minimum of six (6) years of electric utility experience using EMS/SCADA in power system operations and/or a minimum of three (3) years of direct EMS/SCADA experience including deployment, system design, communications protocols, database and display design of power system equipment and operational components Engineer II: A minimum of ten (10) years of electric utility experience using EMS/SCADA in power system operations and/or a minimum of five (5) years of direct EMS/SCADA experience including deployment, system design, communications protocols, database and display design of power system equipment and operational components. Engineer III: A minimum of twelve (12) years of electric utility experience using EMS/SCADA in power system operations and/or a minimum of six (6) years of direct EMS/SCADA experience including deployment, system design, communications protocols, database and display design of power system equipment and operational components. Engineer IV: A minimum of fourteen (14) years of electric utility experience using EMS/SCADA in power system operations and/or a minimum of eight (8) years of direct EMS/SCADA experience including deployment, system design, communications protocols, database and display design of power system equipment and operational components. Engineer V: A minimum of sixteen (16) years of electric utility experience using EMS/SCADA in power system operations and/or a minimum of eight (8) years of direct EMS/SCADA experience including deployment, system design, communications protocols, database and display design of power system equipment and operational components. Licenses, Certifications, and/or Registrations: Must obtain and maintain Bulk Electric System Cyber Authorized Status as defined in GSOC's CIP Cyber Security Policy 301 and NERC Reliability Standard CIP 004 - Personnel Risk Assessment Specialized Skills: Engineer I and II: Must be able to read and understand electrical schematic diagrams. Knowledge of CAD, MS Office, and a general understanding of computer databases and computer systems is desirable. Candidate should have a general understanding of metering installations, metering calculations, Remote Terminal Units (RTUs), RTU configuration, Data Communications, SCADA Protocols, and Electrical Field Instrumentation. A good understanding of three phase power, phasor diagrams, and power calculations is expected. Should also be familiar with database access techniques (Access, SQLOracle). Organizational skills, attention to detail, and customer/ team communications skills are needed to be successful. Engineer III - V: Must be able to read and understand electrical schematic diagrams. Knowledge of CAD software, MS Office, and a general understanding of computer databases and computer systems is required. A firm understanding of three phase power, phasor diagrams, and power calculations is expected. Also should have an expansive understanding of metering installations, metering calculations, Remote Terminal Units (RTUs), RTU configuration, Data Communications, SCADA Protocols, and Electrical Field Instrumentation. Must be proficient in using database access techniques (Access, SQL, Oracle) to resolve data problems or ensure data quality. Must have experience trouble shooting system problems involving real-time data communications systems. Candidate should be familiar with Oracle scripts, basic UNIX commands, and DNP 3 protocols. Experience with Data Historian preferred. Excellent organizational skills, attention to detail, and customer/ team communications skills are needed to be successful. Travel: 15%. Travel may be required to provide support to our customer base located throughout the state of Georgia and to obtain training and/or attend seminars, etc. Unusual Hours: Due to the critical nature and continuous operation of the Control Center, this position will be subject to calls and occasionally may be placed on call. This position is required to assist with the resolution of problems whenever contacted. The on-call support staff is responsible for correcting the problem, implementing a work around, or devising a work around.

Immediate need for a talented Mainframe Developer . This is a 06+ months Contract to Hire opportunity with long-term potential and is located in US (Remote). Please review the job description below and contact me ASAP if you are interested. Job ID: 26-14593 Pay Range: $40 - $45/hour. Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location). Key Responsibilities: This is a unique opportunity in which Selected candidates need to complete a 8-weeks of mandatory remote paid training prior to placement. Hogan Product Development and Services: Designs, develops, installs, tests, and documents complex application software. Contributes to the design and delivery of technical architecture solution components. Key Requirements and Technology Experience: Key Skills; Agile Methodology Banking COBOL Mainframe 1-2 years of Hogan experience 5 to 8 years of Mainframe/COBOL/CICS/JCL 4+ Retail Banking domain experience in one or more of Deposits, Lending and Customer Information Experience working with software design, software development life cycle, development methodologies, and implementation Experience in Agile Methodologies 4+ years of product design and development. 4+ Banking product experienced Our client is a leading Information Technology (IT) services and consulting Industry and we are currently interviewing to fill this and other similar contract positions. If you are interested in this position, please apply online for immediate consideration. Pyramid Consulting, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. By applying to our jobs you agree to receive calls, AI-generated calls, text messages, or emails from Pyramid Consulting, Inc. and its affiliates, 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 .

RevPro Zoura Architect - Remote Primary Location: Remote V-Soft Consulting is currently hiring for an RevPro Zoura Architect - Remote for our premier client in Remote. Education and Experience " Knowledge and Skills: Requirements & Design Capture and refine user stories related to revenue accounting flows, including contract creation, project modifications, terminations, and revenue release events. Recommend and design RevPro configurations aligned with revenue policies, PSA product offerings, and multi-element arrangements. Support design of revenue recognition methodologies and performance obligations, including percentage-completion models. Collaborate with technical teams on ETL design, mapping, iPaaS logic, and transformation rules required for RevPro ingestion. Analyze existing integrations and document build-ready enhancements (Salesforce-to-RevPro, D365 ERP-to-RevPro, Oracle ERP-to-RevPro). Integration Development Partner with owners of Salesforce CPQ, D365, Oracle, and Informatica/iHub to ensure contract, invoice, and GL data is synchronized accurately into RevPro. Troubleshoot data issues such as missing invoices, repulled SO lines, and template transformation errors across revenue systems. Collaboration & Support Work closely with Receivables & Revenue, Order-to-Cash, Product Ops, and Finance leadership to deliver roadmap items and strategic application solutions. Partner with QA to define test plans, support testing cycles, validate revenue schedules, and ensure completeness of end-to-end revenue flows. WHAT YOU'LL DO: Job Responsibilities: Process Improvement & Thought Leadership Contribute to future-state revenue automation strategies, including forecasting integrations, data migration readiness, and ERP modernization initiatives. Advocate for standardization and visibility in revenue processes and exceptions, especially during SKU creation and contract setup. Interested? Qualified candidates should send their resumes to V-Soft Consulting Group is recognized among the top 100 fastest growing staffing companies in North America, V-Soft Consulting Group is headquartered in Louisville, KY with strategic locations in India, Canada and the U.S. V-Soft is known as an agile, innovative technology services company holding several awards and distinctions and has a wide variety of partnerships across diverse technology stacks. As a valued V-Soft Consultant, you're eligible for full benefits (Medical, Dental, Vision), a 401(k) plan, competitive compensation and more. V-Soft is partnered with numerous Fortune 500 companies, exceptionally positioned to advance your career growth. V-Soft Consulting provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. For more information or to view all our open jobs, please visit or call .

This Jobot Job is hosted by: Merwan Zattam Are you a fit? Easy Apply now by clicking the "Quick Apply" buttonand sending us your resume. Salary: $135,000 - $150,000 per year A bit about us: We are a technology consulting and cloud solutions organization specializing in the design, development, and implementation of highly available, secure, and mission-critical systems for government and commercial clients. Our teams partner closely with customers to deliver innovative solutions across cloud strategy, cybersecurity, systems integration, data engineering, machine learning, AI, disaster recovery, and enterprise infrastructure initiatives. Our approach is built around collaboration and long-term partnership. We work closely with stakeholders at every level of the organization-from executive leadership to engineering and operations teams-to provide scalable, resilient, and secure technology solutions that solve complex business and operational challenges. With deep expertise in cloud-first architectures, automation, DevSecOps, virtualization, reliability engineering, and large-scale systems integration, we help organizations modernize infrastructure, improve operational efficiency, and support mission-critical environments where performance, security, and resiliency are essential. Our team consists of highly skilled engineers, architects, developers, and technology specialists who thrive on solving complex technical challenges. We foster a culture centered around innovation, collaboration, continuous learning, and technical excellence while delivering meaningful value to our clients across highly regulated and fast-evolving industries. 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 Senior QA Lead / Senior QA Analyst Location: Remote (U.S. Based) Employment Type: Full-Time Important Requirements: Must be a U.S. Citizen Must currently reside within the United States Must be eligible to obtain and maintain a Public Trust Clearance Must be able to pass a background investigation Position Overview We are seeking a highly motivated Senior QA Lead / Senior QA Analyst to support mission-critical business applications in a complex enterprise environment. This individual will serve as a hands-on testing leader responsible for coordinating and executing all aspects of User Acceptance Testing (UAT), system testing, regression testing, and defect management. The ideal candidate will have extensive experience testing web-based applications, financial workflows, ETL processes, and data-intensive systems. This role requires someone who can quickly learn complex business processes, develop comprehensive test strategies, and independently own testing efforts from requirements through production deployment. The environment is currently heavily Microsoft-based and undergoing a strategic migration to AWS cloud technologies. Key Responsibilities QA Leadership & Test Management Lead and coordinate all phases of User Acceptance Testing (UAT) Develop and execute detailed test plans, test cases, test scenarios, and test scripts Review and approve testing artifacts prepared by QA team members Serve as a subject matter expert and mentor for QA best practices Provide testing leadership throughout the software development lifecycle Hands-On Testing Execute manual testing activities across complex business applications Validate new functionality, enhancements, integrations, and production releases Perform regression testing to ensure system stability Analyze test results and identify defects, inconsistencies, and performance issues Retest resolved defects and validate corrective actions Financial & Data Workflow Testing Test complex financial workflows and business processes Validate ETL processes and data movement across systems Verify data accuracy, integrity, and reconciliation requirements Support testing of web-based enterprise applications and integrated systems Defect & Risk Management Manage defect tracking, prioritization, and resolution activities Assess testing impacts and communicate risks to project stakeholders Escalate critical issues and coordinate remediation efforts Maintain visibility into testing progress and overall project quality Test Automation & Process Improvement Develop and maintain automated testing strategies where applicable Support expansion and maintenance of regression test libraries Identify opportunities to improve testing efficiency, quality, and coverage Participate in continuous improvement initiatives and QA best practices Agile Environment Support Participate in Agile ceremonies including sprint planning, backlog refinement, reviews, and retrospectives Partner with Product Owners, Developers, Business Analysts, and Project Managers Support organizations transitioning from traditional development methodologies to Agile delivery models Contribute to Agile testing strategies and documentation updates Required Qualifications Bachelor's degree in Information Technology, Computer Science, Business, or related field 5+ years of experience in software quality assurance, testing, or QA leadership roles Strong hands-on experience creating and executing test plans, test cases, and UAT activities Experience testing web applications and enterprise business systems Experience validating complex financial workflows and business processes Experience testing ETL processes and data integrations Strong defect management and root-cause analysis skills Experience working within Agile/Scrum environments Excellent communication and stakeholder management skills Preferred Qualifications Test automation experience strongly preferred Experience with cloud-based environments and AWS migrations Experience with Microsoft enterprise environments Experience with data validation, data warehousing, or ETL testing Experience supporting large-scale enterprise software implementations Experience serving as a QA Lead or Senior QA Analyst Technical Environment Current Environment Microsoft-based enterprise applications Financial workflow systems ETL and data integration platforms Web-based business applications Future-State Environment AWS Cloud Platform Modernized application and data architectures What Success Looks Like Within the first 90 days, this individual will: Gain a thorough understanding of the business systems and application landscape Learn and document high-level business and technical requirements Independently own testing efforts for new features and enhancements Develop and execute comprehensive test cases Provide actionable feedback that improves software quality and reduces production defects This is an excellent opportunity for a hands-on QA professional who enjoys owning testing efforts, improving quality processes, and working closely with business and technical teams in a rapidly evolving environment. 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. 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