1741 jobs found

Job Description Job Description Hardware Systems Engineer Position Summary Our client, a company focused on the design, engineering, sales, and support of telemetry data systems and mission-critical communications solutions, is seeking an experienced Hardware (HW) Systems Engineer to join its Product Engineering Team. This role develops hardware-based product solutions focused on telemetry and electronic communications technologies. Employment Type Full-Time / Regular Key Responsibilities Develop hardware design specifications based on requirements or concept sketches. Perform technical planning, circuit-level design, implementation, verification, and formal acceptance and production testing. Perform system-level analysis through all phases of the product design cycle: concept, design, fabrication, test, installation, operation, and maintenance. Convert customer or product requirements into solutions that account for technical, schedule, and cost constraints. Perform functional analysis, timing analysis, detailed trade studies, requirements allocation, and interface definition to address customer requirements. Lead and actively participate in hardware design, including architecture planning, functional block diagrams, state diagrams, and schematics. Perform design analysis, including circuit modeling and simulation, FPGA simulations, signal integrity modeling, power analysis, failure mode analysis, and manufacturability analysis. Support implementation of the design, including oversight of layout, support of first article procurement, and debug of the first article build. Write and review design, release, and support documentation, including design review documents, production manuals, interface control documents, and test procedures. Coordinate actively with other departments for system integration, software integration, testing, and production throughout the design effort. Support co-worker development efforts and solicit assistance when necessary or appropriate. Provide maintenance support for existing products, including enhancements, parts obsolescence, and corrective actions. Execute tasks in accordance with QMS processes and procedures. Required Qualifications 7+ years of relevant hardware engineering experience. Knowledge of PCI Express, DDR, or other high-speed interfaces, preferably with practical experience. Knowledge of Ethernet down to the physical layer, preferably with practical experience. Knowledge of basic serial communication interfaces such as I2C and USB, preferably with practical experience. Knowledge of SoC FPGA design, preferably with practical experience. Experience with design and debug of HDL coding (VHDL, Verilog/System Verilog) targeting communication signal processing and low-latency processing. Good understanding of practical techniques for noise reduction/control and electrical susceptibility immunity. Successful track record of completed design efforts. Proficiency with simulation tools such as Riviera Pro, Active-HDL, Questa, or VCS; MATLAB; FPGA implementation tools such as Quartus Prime and AMD-Xilinx Vivado/Vitis; Cadence; PSPICE; and MS Office. Proficiency with classic hardware lab tools such as network analyzers, spectrum analyzers, oscilloscopes, logic analyzers, and function generators. U.S. citizenship required. Must be able to qualify for security clearance (not required immediately). Preferred Qualifications Expert knowledge of hardware technologies with 7 years of relevant industry experience. Experience dealing with timing constraints and closing timing on FPGA designs. Familiarity with basic DSP functional blocks such as filtering and FFT. Prior experience performing high-speed signal integrity analysis. Experience with RF design and debug techniques. Exposure to and experience with EMC/EMI and environmental qualification processes. Scripting capabilities such as Python for debug tools and testing. Education 4-year Bachelor's degree in Electrical Engineering (BSEE) required Master's degree in Electrical Engineering (MSEE) preferred. A 4-year Bachelor's degree in a related technical discipline, such as Computer Engineering, will also be considered. Location : Hollywood, Maryland. Compensation & Benefits $130,000 - $155,000 annually About Lean Synergy Solutions Lean Synergy Solutions is a Veteran-owned and operated recruiting firm that specializes in aligning top-tier talent with high-impact roles across a variety of industries. Our team, consisting of military veterans and industry specialists, brings a mission-driven approach to workforce solutions. Focused on placing skilled professionals in key roles, we help organizations navigate transformation with precision. We are committed to supporting transitioning service members, veterans, military spouses, and civilian professionals by providing access to meaningful, long-term career opportunities in government, public, and private sector positions.

Job Description Job Description Job Title: AWS Cloud Security Architect Location: Plano, TX/Reston, VA/Columbia, SC/Knoxville, TN/Lafayette, LA/Birmingham, AL Work Model: Onsite - onsite Responsibilities Provide security architecture guidance for enterprise applications, AWS cloud environments, hybrid infrastructure, cybersecurity platforms, APIs, containers, data solutions, and AI enabled applications. Partner with application and engineering teams to securely migrate workloads from on premises environments to AWS and other approved cloud platforms. Define and maintain cloud security patterns, standards, guardrails, security requirements, reference architectures, and implementation guidance. Conduct security architecture reviews, threat modeling, and risk assessments for cloud native, hybrid, API, container, third-party, and AI/GenAI solutions. Define appropriate security controls and recommend remediation or compensating controls when security gaps are identified. Support secure AI/GenAI adoption, including LLM integrations, RAG implementations, prompt security, data protection, access controls, monitoring, logging, and human in the loop safeguards. Support AI governance and risk management processes, including security reviews, monitoring requirements, incident escalation, and lifecycle controls. Assess solutions against applicable security frameworks and standards, including NIST, FedRAMP, and FIPS. Provide security guidance during technology evaluations, architecture reviews, security exceptions, and path to production activities. Work with cybersecurity engineering and operations teams on security capabilities involving SIEM, network security, endpoint security, data protection, and security configuration. Communicate security risks, requirements, and recommendations clearly to both technical teams and business stakeholders. Requirements 8+ years of overall IT experience, including significant cybersecurity and cloud security experience. 5+ years of cybersecurity architecture experience in roles such as Information Security Architect, Cloud Security Architect, or Infrastructure Security Architect. 5+ years of hands-on AWS cloud security experience, including securing enterprise workloads and cloud migrations. Strong knowledge of AWS security services, controls, IAM, networking, logging, monitoring, data protection, and cloud security best practices. Experience securing enterprise cloud and hybrid environments and performing security architecture reviews. Experience with threat modeling, security risk assessments, control gap analysis, and remediation planning. Knowledge of cybersecurity and compliance frameworks such as NIST, FedRAMP, and FIPS. Experience defining and applying security standards, patterns, guardrails, and technical security controls. Working knowledge of AI/GenAI security, including prompt injection, data leakage, model access controls, AI guardrails, observability, approved model usage, and human oversight. Understanding of security considerations for LLMs, RAG solutions, APIs, containers, and enterprise data integrations. Ability to work effectively with application developers, cloud and infrastructure engineers, cybersecurity teams, enterprise architecture, compliance, risk, and business stakeholders. Strong written and verbal communication skills with the ability to explain technical security risks and requirements clearly. Strong organizational, coordination, and stakeholder management skills. CISSP, CCSP, CISA, CISM, GIAC, or similar cybersecurity certification is preferred. AWS Certified Security - Specialty, Azure AZ 500, or another relevant cloud security certification is preferred. Desired Skillset: Security experience across Azure and/or GCP in addition to AWS. AI/GenAI security, AI governance, or AI risk management experience. Container and workload security experience covering build time and runtime controls. API security experience, including enterprise API gateways. Security engineering experience with SIEM, firewalls, endpoint/host security, or security configuration management. Experience with AI-enabled cybersecurity capabilities such as security analysis, vulnerability prioritization, detection support, secure code review, or workflow automation. CISSP, CCSP, CISA, CISM, GIAC, or similar cybersecurity certification. AWS Certified Security - Specialty, Azure Security Engineer Associate (AZ 500), or comparable cloud security certification. Education: Bachelor's degree in Computer Science, Information Systems, or a related field. System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law. Ref: Pittsburgh

Job Description Job Description SteerBridge is a modern technology company delivering innovative, mission focused solutions to the U.S. Government and private sector. Leveraging deep expertise in federal acquisition, digital transformation, and emerging technologies, we deliver agile, commercial grade capabilities that accelerate operational effectiveness and drive measurable mission success. At the core of SteerBridge is our people-especially the veterans whose leadership, problem solving mindset, and commitment to excellence elevate every project we support. We don't simply hire exceptional talent; we cultivate it, creating meaningful career pathways for veterans, military spouses, and professionals who share our passion for advancing technology and strengthening the missions we serve. Position Overview SteerBridge seeks a Product Designer to join our Experience Design team supporting our Aviation Tech team and the continued development and expansion of AIRES, our aviation readiness capability. In this role, you will create high-fidelity UI prototypes in Figma, help maintain and extend our design system, and translate research findings, operational workflows, and technical requirements into clear, production-ready product experiences. You will work as part of a small product design team, collaborating closely with a senior product designer who will provide day-to-day direction, design critique, and mentorship. You will also work with UX researchers, engineers, data teams, product stakeholders, and aviation subject-matter experts. Ideal candidates are strong UI craftspeople who understand how design systems work in practice, are comfortable designing complex data-rich interfaces, are eager to learn, and thrive on clear direction and regular feedback. Over time, this role is expected to grow from executing defined design work to taking greater ownership of product workflows and features. Design Patterns and Architectural Context In data and software engineering, a design pattern is a battle-tested blueprint for solving a recurring problem. It is not a specific piece of code, but a standardized mental model that allows teams to skip the trial-and-error phase of architecture. SteerBridge applies proven patterns such as Medallion Architecture to structure, validate, and operationalize data within mission-critical aviation analytics platforms. Product designers work within this architectural context to translate complex data, workflows, and system behavior into clear, usable, and decision-ready experiences for operators working in high-consequence environments. Primary Mission Area The platform supports aviation readiness and sustainment operations including: Fleet readiness monitoring Maintenance planning Supply chain coordination Logistics forecasting Operational planning support Primary users include aviation maintainers, logisticians, planners, and senior decision-makers operating under time pressure and incomplete information. The work involves complex, data-rich interfaces that help users understand aircraft status, maintenance requirements, supply constraints, readiness risk, and potential courses of action. Key Responsibilities Design high-fidelity prototypes and production-ready interfaces in Figma, translating wireframes, user flows, UX research, operational requirements, and technical constraints into polished product experiences. Design complex, data-driven workflows and interfaces supporting aviation readiness, maintenance, logistics, and operational planning. Partner with UX researchers and aviation subject-matter experts to translate validated user needs, research findings, and operational workflows into wireframes, interaction models, prototypes, and product designs. Support and maintain the team's design system by applying established components, tokens, visual standards, and interaction patterns consistently and identifying opportunities for new or improved patterns. Collaborate with engineers, product stakeholders, researchers, and data teams to evaluate design feasibility, refine solutions, and iterate based on usability testing, stakeholder feedback, technical constraints, and evolving requirements. Prepare detailed design handoffs, including states, edge cases, interactions, and expected behaviors, and perform design QA to ensure implemented features align with Figma specifications. Manage multiple design tasks and Jira tickets across sprints, working within established priorities, estimating work, tracking progress, and proactively communicating blockers. Participate in design reviews and critiques, incorporate feedback into subsequent iterations, and clearly communicate design rationale to technical and non-technical stakeholders. Required Qualifications Eligibility requirements: U.S. citizenship is required for this position under applicable federal contract requirements. Candidates must also be able to obtain and maintain a Secret security clearance as required for the role. Bachelor's degree in Design, Human-Computer Interaction, or a related field, or equivalent relevant professional experience. 2-4 years of professional experience in UI or product design; exceptional early-career candidates with strong portfolios will also be considered. Portfolio demonstrating strong UI design skills, design system experience, and the ability to organize complex information and design multi-step user workflows. Strong proficiency in Figma, including components, variants, auto layout, and interactive prototyping, with experience translating wireframes, workflows, and requirements into high-fidelity, developer-ready designs. Strong understanding of design systems and foundational UI principles, including components, tokens, patterns, typography, visual hierarchy, layout, spacing, and color. Working knowledge of Section 508 and WCAG accessibility standards and their application to user interface design. Strong communication and collaboration skills, including the ability to present and explain design decisions, constraints, and tradeoffs; receive and incorporate feedback and mentorship; and manage assigned work using Jira or similar Agile tools. Preferred Qualifications Experience designing data-rich applications, dashboards, enterprise software, decision-support tools, or other complex interfaces that present system states, dependencies, alerts, operational status, or similar information clearly and effectively. Working knowledge of UX principles, including usability heuristics, information architecture, and interaction design, with the ability to identify potential usability concerns within complex user workflows. Working knowledge of HTML/CSS and experience collaborating with engineers to understand implementation feasibility and technical constraints. Experience contributing to design systems or component libraries and working within Agile/Scrum environments, including sprint planning, backlog refinement, and retrospectives. Experience with rapid prototyping, motion, or interaction design techniques to communicate product concepts and interactions beyond static screens, including AI-assisted tools such as Claude, ChatGPT/Codex, or comparable platforms. Experience supporting DoD, federal, aviation, logistics, fleet management, or other government or mission-critical programs. The Teams Behind the Technology Aviation analytics platforms succeed when multidisciplinary teams design, build, secure, and refine them with operational intent. SteerBridge's aviation technology organization brings together software developers, data architects, data scientists, product and UI/UX designers, UX researchers, and aviation subject-matter experts. Product designers work across these disciplines to translate complex operational requirements, user research, and data into intuitive product experiences. This collaboration is especially important in environments where time pressure, operational risk, and accountability matter. Tools and Artifacts Figma Jira AI-assisted design, prototyping, and development tools such as Claude, ChatGPT/Codex, or comparable platforms Microsoft Office and collaboration tools What Success Looks Like Designs accurately reflect validated user workflows and operational requirements while making complex aviation data clear and actionable. Figma prototypes and design documentation provide engineers with clear, implementation-ready specifications and minimize ambiguity during development. New features consistently apply and strengthen the AIRES design system, with design QA identifying implementation issues before they negatively affect the user experience. Product decisions effectively balance user research, technical constraints, aviation domain expertise, and operational needs. The designer collaborates effectively across design, engineering, research, and product teams while progressing from executing defined work to owning increasingly complex workflows and product features. Benefits Health insurance Dental insurance Vision insurance Life Insurance 401(k) Retirement Plan with matching Paid Time Off Paid Federal Holidays The posted compensation range reflects the scope and requirements of this position. A final offer will be determined based on the candidate's relevant experience, skills . click apply for full job details

Job Description Job Description Senior Cloud Security Specialist Washington, DC - 100% Onsite Per Federal contract U.S. citizenship is required Must be able to obtain Public Trust clearance W2 or C2C Application Deadline: Sept 15th We are seeking a Senior Cloud Security Specialist to support the Security Engineering team within the IT division at the Board of Governors of the Federal Reserve. This team is responsible for the strategy, design, deployment, and maintenance of effective security solutions in cloud, local, and hybrid environments. REQUIREMENTS: The candidate shall also demonstrate the knowledge and experience below: • Required Experience: o Minimum 5 years hands-on AWS security experience • Personnel Qualifications o AWS Certified Security - Specialty (strongly preferred) o AWS Certified Solutions Architect - Professional or Associate • Demonstrated experience implementing secure, scalable AWS cloud architectures following industry best security practices and security frameworks. • Demonstrated federal experience and comprehensive knowledge in adopting and implementing federal cybersecurity requirements, including but not limited to the NIST Cybersecurity Framework, OMB Memorandum M-22-09, NIST SP 800-53 • Possess deep analytical, problem-solving, and troubleshooting experience, to • independently resolve complex security challenges. • Proven ability to provide technical security consultation and advisory services with a proactive approach to identifying potential issues, raising questions, and engaging in open dialogue with team members and stakeholders to ensure security objectives are met. • Strong understanding of security concepts and technologies related to Identity and Access Management (IAM), security engineering, network security design, security operations, security architecture, general engineering processes, cloud security, data loss protection, zero trust, DevSecOps and vulnerability management. • Technical skills in AWS cloud security, security engineering, DevSecOps, scripting, and Infrastructure-as-code (IaC) • Self-motivated and able to work independently • Strong attention to detail The Consultant shall deliver, but not limited to, the following: • Conduct regular security reviews of cloud infrastructure deployed by engineering teams • Evaluate infrastructure-as-code against security standards • Review and validate compliance with security policies and best practices • Assess adherence to AWS Well-Architected Framework security pillar • Identify and document security misconfigurations and non-compliant controls • Develop and maintain security posture dashboards • Create or update security configuration guides and playbooks • Offer technical consultation to engineering teams on secure implementation • Implement AWS security controls and services to ensure proper security hardening and other security engineering tasks. • Develop and update AWS security configuration standards • Conduct security training sessions for engineering teams • Present findings and recommendations in team meetings • Identify opportunities to automate security assessments • Recommend security tooling improvements Ref:

Job Description Job Description Job Title: AWS Cloud Security Architect Location: Plano, TX/Reston, VA/Columbia, SC/Knoxville, TN/Lafayette, LA/Birmingham, AL Work Model: Onsite - onsite Responsibilities Provide security architecture guidance for enterprise applications, AWS cloud environments, hybrid infrastructure, cybersecurity platforms, APIs, containers, data solutions, and AI enabled applications. Partner with application and engineering teams to securely migrate workloads from on premises environments to AWS and other approved cloud platforms. Define and maintain cloud security patterns, standards, guardrails, security requirements, reference architectures, and implementation guidance. Conduct security architecture reviews, threat modeling, and risk assessments for cloud native, hybrid, API, container, third-party, and AI/GenAI solutions. Define appropriate security controls and recommend remediation or compensating controls when security gaps are identified. Support secure AI/GenAI adoption, including LLM integrations, RAG implementations, prompt security, data protection, access controls, monitoring, logging, and human in the loop safeguards. Support AI governance and risk management processes, including security reviews, monitoring requirements, incident escalation, and lifecycle controls. Assess solutions against applicable security frameworks and standards, including NIST, FedRAMP, and FIPS. Provide security guidance during technology evaluations, architecture reviews, security exceptions, and path to production activities. Work with cybersecurity engineering and operations teams on security capabilities involving SIEM, network security, endpoint security, data protection, and security configuration. Communicate security risks, requirements, and recommendations clearly to both technical teams and business stakeholders. Requirements 8+ years of overall IT experience, including significant cybersecurity and cloud security experience. 5+ years of cybersecurity architecture experience in roles such as Information Security Architect, Cloud Security Architect, or Infrastructure Security Architect. 5+ years of hands-on AWS cloud security experience, including securing enterprise workloads and cloud migrations. Strong knowledge of AWS security services, controls, IAM, networking, logging, monitoring, data protection, and cloud security best practices. Experience securing enterprise cloud and hybrid environments and performing security architecture reviews. Experience with threat modeling, security risk assessments, control gap analysis, and remediation planning. Knowledge of cybersecurity and compliance frameworks such as NIST, FedRAMP, and FIPS. Experience defining and applying security standards, patterns, guardrails, and technical security controls. Working knowledge of AI/GenAI security, including prompt injection, data leakage, model access controls, AI guardrails, observability, approved model usage, and human oversight. Understanding of security considerations for LLMs, RAG solutions, APIs, containers, and enterprise data integrations. Ability to work effectively with application developers, cloud and infrastructure engineers, cybersecurity teams, enterprise architecture, compliance, risk, and business stakeholders. Strong written and verbal communication skills with the ability to explain technical security risks and requirements clearly. Strong organizational, coordination, and stakeholder management skills. CISSP, CCSP, CISA, CISM, GIAC, or similar cybersecurity certification is preferred. AWS Certified Security - Specialty, Azure AZ 500, or another relevant cloud security certification is preferred. Desired Skillset: Security experience across Azure and/or GCP in addition to AWS. AI/GenAI security, AI governance, or AI risk management experience. Container and workload security experience covering build time and runtime controls. API security experience, including enterprise API gateways. Security engineering experience with SIEM, firewalls, endpoint/host security, or security configuration management. Experience with AI-enabled cybersecurity capabilities such as security analysis, vulnerability prioritization, detection support, secure code review, or workflow automation. CISSP, CCSP, CISA, CISM, GIAC, or similar cybersecurity certification. AWS Certified Security - Specialty, Azure Security Engineer Associate (AZ 500), or comparable cloud security certification. Education: Bachelor's degree in Computer Science, Information Systems, or a related field. System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law. Ref: Pittsburgh

Job Description Job Description Senior Cloud Security Specialist 100% ONSITE in Washington DC Per Federal contract U.S. Citizenship Required Must be able to pass enhanced FBI background screening (criminal, financial and finger printing) for Public Trust clearance Performance Period: June 2026- Dec , with the possibility of multi-year extension based on performance W-2 or C2C Deadline to apply May 5th PROJECT DESCRIPTION: The IT Security Engineering team is seeking a Senior Cloud Security Specialist with deep expertise in AWS cloud services, cloud-native security tools and services. BACKGROUND: We are seeking a Senior Cloud Security Specialist to support the Security Engineering team within the IT division. This team is responsible for the strategy, design, deployment, and maintenance of effective security solutions in cloud, local, and hybrid environments. REQUIREMENTS: The candidate shall also demonstrate the knowledge and experience below: Required Experience: Minimum 5 years hands-on AWS security experience Personnel Qualifications AWS Certified Security - Specialty (strongly preferred) AWS Certified Solutions Architect - Professional or Associate Demonstrated experience implementing secure, scalable AWS cloud architectures following industry best security practices and security frameworks. Demonstrated federal experience and comprehensive knowledge in adopting and implementing federal cybersecurity requirements, including but not limited to the NIST Cybersecurity Framework, OMB Memorandum M-22-09, NIST SP 800-53 Possess deep analytical, problem-solving, and troubleshooting experience, to independently resolve complex security challenges. Proven ability to provide technical security consultation and advisory services with a proactive approach to identifying potential issues, raising questions, and engaging in open dialogue with team members and stakeholders to ensure security objectives are met. Strong understanding of security concepts and technologies related to Identity and Access Management (IAM), security engineering, network security design, security operations, security architecture, general engineering processes, cloud security, data loss protection, zero trust, DevSecOps and vulnerability management. Technical skills in AWS cloud security, security engineering, DevSecOps, scripting, and Infrastructure-as-code (IaC) Self-motivated and able to work independently Strong attention to detail The Consultant shall deliver, but not limited to, the following: Conduct regular security reviews of cloud infrastructure deployed by engineering teams Evaluate infrastructure-as-code against security standards Review and validate compliance with security policies and best practices Assess adherence to AWS Well-Architected Framework security pillar Identify and document security misconfigurations and non-compliant controls Develop and maintain security posture dashboards Create or update security configuration guides and playbooks Offer technical consultation to engineering teams on secure implementation Implement AWS security controls and services to ensure proper security hardening and other security engineering tasks. Develop and update AWS security configuration standards Conduct security training sessions for engineering teams Present findings and recommendations in team meetings Identify opportunities to automate security assessments Recommend security tooling improvements PLACE OF PERFORMANCE: On-site at FRB locations, Washington, DC CITIZEN STATUS: U.S. Citizenship is required per Federal Contract INTERVIEW: Selected candidates will participate in a phone screening. Those that pass the phone screening may be invited to an in-person interview. The use of video conference tools (e.g., MS Teams or WebEx) can be used in accordance with agency guidelines. Ref:

Job Description Job Description Description: Direct Hire Hybrid schedule in Plano, TX Comp range: $150-180K 15% travel (including int 'l ) MUST BE US CITIZEN or GREEN CARD HOLDER (No C2C) JOB DESCRIPTION Architect the Future of Enterprise Intelligence The Senior Data Architect provides technical leadership across the company's data landscape shaping enterprise data strategy and designing scalable, secure, and well governed data platforms that power analytics, AI/ML, and intelligent applications. This role spans traditional data management (DBMS, data modeling, warehousing, governance) and modern cloud native/AI data engineering on AWS, including bronze, silver, gold patterns, Generation (RAG) for LLMs, and data products that serve Cloud-native SaaS application teams at global scale. You will collaborate with business stakeholders, data scientists, engineers, and platform teams to translate use cases into target data architectures, ensuring performance, reliability, security, and cost efficiency at global scale. What You'll do Modern Data Platform on One or More Cloud Platforms Architect end-to-end pipelines across from raw to polished layers using Cloud native services such as S3, Glue (ETL & Data Catalog), Lake Formation, Redshift, Athena, EMR/Spark, Kinesis/MSK, Step Functions, Lambda, EventBridge. Define storage/format strategies (e.g., Parquet/Delta/Apache Iceberg) and partitioning, compaction, and indexing for performance and cost. Implement row/ column level security, encryption (KMS), secrets management, and fine-grained authorization via IAM/Lake Formation. AI/ML & Amazon Bedrock Data Foundations Design datasets and feature/knowledge layers to support SageMaker training/inference and Amazon Bedrock applications (e.g., Knowledge Bases, Guardrails, Agents, and Invoke Model/Converse orchestration). Lead RAG architectures (chunking, embeddings, retrieval) using vector databases such as Amazon OpenSearch Serverless (vector search) or Aurora PostgreSQL + pgvector; define evaluation and feedback loops to improve answer quality. Set prompt, context, and token budget standards; guide teams on safe data handling for LLMs (PII redaction, policy driven filters, secured context injection). Tradition Data Architecture & DBMS Excellence Provide deep expertise in relational and NoSQL systems: SQL Server, PostgreSQL, MongoDB, including schema design, indexing, query/perf tuning, replication, partitioning, and HA/DR. Design and govern EDW/ Lakehouse/ODS patterns; integrate with .NET/C# services and Angular frontends via well designed APIs and data contracts. Integration, Interoperability & Application Alignment Define API and data contract standards (REST/GraphQL, Protobuf/Avro/JSON), ensuring consistent versioning and backward compatibility for .NET/C# and Angular consumers. Orchestrate ingestion from SAP, Salesforce, IoT/telemetry, external data sources, and partner ecosystems; standardize CDC and streaming patterns (e.g., MSK/Kinesis, DMS, Glue). Partner with Solution/Platform Architects to ensure microservices and event driven designs are data efficient and observability ready. Data Governance, Quality & Observability Implement data governance (policies, stewardship, data classification), cataloging (Glue Data Catalog), lineage (Open Lineage compatible), and quality (rules, thresholds, SLAs/SLOs). Embed monitoring & cost governance (CloudWatch, CloudTrail, Cost Explorer, Lake Formation audit, data access logs) and drive continuous optimization (storage tiers, compaction, pruning). Security, Compliance & Risk Enforce privacy and compliance (e.g., GDPR) with data minimization, tokenization, masking, and access controls across environments. Define secure patterns for model inputs/outputs (LLM safety), prompt hygiene, and guardrails to prevent leakage or misuse. Delivery Leadership & Collaboration Produce architecture blueprints, target state designs, and build/run guardrails; guide PoCs and pilots to derisk solutions. Mentor data engineers, analysts, and junior architects; lead design reviews, threat modeling, and cost/performance reviews. Communicate clearly with technical and nontechnical stakeholders, champion a culture of engineering excellence and learning. What You'll Bring This position is not eligible for employer-sponsored work authorization or visa sponsorship (including initial, transfer, or extension), and candidates must be authorized to work in the United States at the time of application and remain authorized for the duration of employment without the need for sponsorship. Bachelor's or master's in computer science, Information Systems, Data Engineering, or related field (or equivalent experience). Relevant certifications a plus (e.g., AWS Data Analytics/Solutions Architect preferred). 10+ years designing and delivering enterprise data solutions, including hands-on work with both traditional DBMS and cloud native data platforms. 5+ years building on cloud platforms with production experience in several of: S3, Glue, Lake Formation, Redshift, Athena, EMR/Spark, Kinesis/MSK, Lambda, Step Functions, EventBridge, SageMaker. Demonstrated expertise implementing data propagation Lakehouse patterns and governance at scale. Proven track record supporting AI/ML workloads (feature stores, model data pipelines) and delivering RAG solutions with vector search on AWS. Strong SQL and Python; proficiency in data modeling - IFC (preferred), 3NF, dimensional/star, data vault, etc. DBMS: SQL Server, PostgreSQL (schema, indexing, query planning, replication/HA, partitioning, backup/restore). Data Engineering: Spark/EMR, Glue (ETL/ELT & Studio), Airflow/Step Functions orchestration, Parquet/Delta/Iceberg. Streaming/CDC: MSK/Kinesis, DMS (change data capture), event driven patterns. Security & Governance: IAM, KMS, Lake Formation, Secrets Manager, data masking/tokenization, RBAC/ABAC. AI/LLM enablement: Amazon Bedrock (Knowledge Bases, Guardrails, Agents), embeddings, chunking, retrieval, prompt design, token optimization, evaluation loops. Observability & FinOps: Cloud logs/metrics, lineage/quality SLAs, cost controls (storage/compute), workload rightsizing. DevOps/MLOps/IaC: Git, CI/CD for data pipelines; Terraform/CDK; environment promotion; artifact/versioning ; blue/green or canary for data jobs. Preferred Skills Experience with Redshift RA3/Spectrum, materialized views, workload management, and federated queries (Athena/Glue). Familiarity with Power BI / Microsoft Fabric and Amazon Quick Sight; semantic modeling and governance for BI. Exposure to privacy enhancing technologies (anonymization, differential privacy), policy as code, and guardrail frameworks. Experience working with geographically distributed teams and regulated data. Strategic thinking with the ability to balance short-term increments and long term architecture. Excellent written and verbal communication, facilitation of architecture decisions, and stakeholder alignment. Mentoring mindset and demonstrated influence without authority across cross functional teams. System One, and its subsidiaries including Joulé, ALTA IT Services, and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law. Ref: Tulsa

Job Description Job Description Role : Azure Data Architect with Databricks Expertise Location : Iselin, NJ (Hybrid) Rate: $75/hr to $77/hr Experience : 15 Job Summary: We are seeking highly skilled Azure Data Architect with strong expertise in SQL, Python, Datawarehouse, Cloud ETL tools to join our data team. The ideal candidate will design, implement and optimize large-scale data pipeline, ensuring scalability, reliability and performance. This role involves working closely with multiple teams and business stakeholders to deliver cutting-edge data solutions. Key Responsibilities: Data Pipeline Development: Build and maintain scalable ETL/ELT pipelines using Databricks. Leverage PySpark/Spark and SQL to transform and process large datasets. Integrate data from multiple sources including Azure Blob Storage, ADLS and other relational/non-relational systems. Collaboration & Analysis: Work Closely with multiple teams to prepare data for dashboard and BI Tools. Collaborate with cross-functional teams to understand business requirements and deliver tailored data solutions. Performance & Optimization: Optimize Databricks workloads for cost efficiency and performance. Monitor and troubleshoot data pipelines to ensure reliability and accuracy. Governance & Security: Implement and manage data security, access controls and governance standards using Unity Catalog. Ensure compliance with organizational and regulatory data policies. Deployment: Leverage Databricks Asset Bundles for seamless deployment of Databricks jobs, notebooks and configurations across environments. Manage version control for Databricks artifacts and collaborate with team to maintain development best practices. Technical Skills: Strong expertise in Databricks (Delta Lake, Unity Catalog, Lakehouse Architecture, Table Triggers, Delta Live Pipelines, Databricks Runtime etc.) Proficiency in Azure Cloud Services. Solid Understanding of Spark and PySpark for big data processing. Experience in relational databases. Knowledge on Databricks Asset Bundles and GitLab. Preferred Experience: Familiarity with Databricks Runtimes and advanced configurations. Knowledge of streaming frameworks like Spark Streaming. Experience in developing real-time data solutions. Certifications: Azure Data Engineer Associate or Databricks certified Data Engineer Associate certification. (Optional)

Job Description Job Description Job Title: iOS Developer Location: Irving, TX (Onsite) Employment Type : Full Time Salary Range: $90,000 - $120,000 a year Job Description: Must Have Technical/Functional Skills 4 years of experience in developing and maintaining the iOS application Developing and maintaining iOS applications using the Swift programming language. Collaborating with cross-functional teams, including designers and backend developers, to create and implement software solutions. Designing and implementing new features and functionality for iOS applications. Conducting thorough code reviews to ensure quality and adherence to industry standards. Debugging and resolving software defects and issues reported by users or testing teams. Eligible to workimizing application performance and ensuring efficient memory usage. Staying up to date with the latest trends and best practices in iOS development to continuously improve skills and contribute to the growth of the team. Performance Eligible to workimization: Identifying and addressing performance bottlenecks, such as memory leaks or slow rendering, to enhance the overall user experience. Roles & Responsibilities: Understanding project requirements : Analyzing project specifications and requirements to determine the scope and features of the iOS application. Developing application architecture: Designing the structure and components of the iOS application, including user interface, database, and backend integration. Writing code : Implementing the application logic using Swift/Objective-C programming languages, ensuring adherence to coding standards and best practices. Bug fixing and testing : Debugging and resolving any issues or bugs identified during the testing phase to ensure the application functions correctly. Collaborating with the team : Working closely with other developers, designers, and product managers to ensure smooth development and timely delivery of the application. Researching and learning : Keeping up to date with the latest iOS development trends, frameworks, and technologies to improve skills and incorporate new features into the application.

Job Description Job Description Role: Data Architect Location: Minneapolis, MN (Onsite) Rate: $75/hr on C2C Indent: PSL303558-9 Role Summary We are seeking an experienced Data Architect to design, build, and govern scalable enterprise data platforms on Azure. The ideal candidate will have strong expertise in Azure Databricks, Snowflake, Spark/PySpark, SQL, and cloud-based data architecture, with experience supporting large-scale analytics and regulatory reporting initiatives. The role involves defining data architecture standards, enabling enterprise data integration, ensuring data quality, and partnering with business stakeholders to deliver modern data solutions. Key Responsibilities Design and implement scalable enterprise data architectures using Azure Databricks and Snowflake. Define data models, data integration patterns, and data governance standards for structured and semi-structured data. Architect and optimize data pipelines using Spark, PySpark, SQL, and cloud-native services. Collaborate with business and technical stakeholders to translate reporting and analytics requirements into data solutions. Lead data platform modernization initiatives and establish best practices for data engineering and analytics. Ensure data quality, lineage, security, and regulatory compliance across the data ecosystem. Drive performance optimization, scalability, and reliability of data platforms. Work closely with data engineering teams on enterprise data warehouse, data lake, and lakehouse architectures. Support regulatory and operational reporting requirements by designing trusted and governed data assets. Provide technical leadership and architectural guidance throughout the project lifecycle.

Job Description Job Description Senior Data Architect Washington, DC - onsite US citizenship required per government contact Must be able to obtain Public Trust clearance Type: Multi-year Contract Open to W2 and C2C Deadline to apply: June, 1st at 3pm Design, develop and implement modern data infrastructure and analytical capabilities to enhance economic forecasting and policymaking, with specific focus on modernizing legacy data environments. The program transforms legacy and proprietary databases, and fragmented data pipelines into integrated cloud platforms, enterprise data integration systems, and collaboration tools that improve data accessibility and security. These initiatives streamline workflows, enable timely economic insights, and support innovative analytical work. This modernization effort ensures continued leadership in economic analysis, promotes efficiency in meeting Congressional mandates, and supports adoption of advanced tools and best practices organization-wide. BACKGROUND: The Data Architecture, Technology, and Analytics (DATA) section is tasked with transforming how the Federal Reserve Board's Division of Research & Statistics (R&S) ingests, organize, uses, and visualizes data. The Data Architecture, Technology, and Analytics (DATA) section is looking for an experienced detailed oriented Data Architect/Engineer who will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for economic policy and research teams. The ideal candidate is an experienced hands-on data modeler with working knowledge of database design and administration, data pipeline building, and data wrangling who enjoys improving existing data systems and/or building them from the ground up. The Data Architect/Engineer will support our economists and technical experts and will ensure optimal data delivery architecture is designed and developed. They must have a service mindset, be self-directed, and be comfortable supporting the data needs of multiple teams and systems. The right candidate will be excited by the prospect of optimizing or even redesigning the R&S division's data architecture to support our next generation of data initiatives. The candidate shall also demonstrate the below knowledge and experience: • Analyze data processes, applications, and source data to understand dependencies, anomalies, and implicit business rules that impact the division's ability to manage data. Review and analyze existing data models and processes to optimize and modernize current data architectures. • Design, develop, and maintain robust data pipelines that ingest, transform, and deliver data from multiple sources to analytics platforms, ensuring optimal performance and data integrity throughout the process. • Architect and implement ETL/ELT workflows using modern data engineering tools and frameworks to support large-scale data processing for economic analysis. • Create data solution designs for economic policy and research projects, including conceptual models, integration models, and sourcing strategies, in alignment with the division's research needs and data strategy. Translate division and section requirements into long-term information architecture solutions. • Define specifications and implement database structures, including logical and physical data models, backup and recovery procedures, and access security controls. Develop and maintain formal documentation of data structures, data flows, data dictionaries, and technical metadata. • Collaborate with research and business teams to improve data models and data processes that support analytics and visualization tools, increasing data accessibility and fostering datadriven decision making across the organization. • Implement processes and systems to monitor data quality, ensuring production data is accurate, reliable, and available for end users and dependent business processes. • Identify, design, and implement internal process improvements, including automation of manual processes, optimization of data delivery, and redesign of infrastructure to improve scalability and performance. • Participate in the development of future-state data architecture standards, guidelines, and principles. Specific Requirements and Skills: • Bachelor's degree in computer science, Information Technology, Engineering or a related technical field and at least 7 years of related experience; advanced degree preferred. • Advanced working knowledge of SQL and experience working with relational database platforms including PostgreSQL, Microsoft SQL Server, and MySQL. • Advanced working knowledge of Python, R, and other scripting languages used for data engineering and analytics. • Experience working with large-scale data systems, including distributed computing, scalable data processing, data storage architecture, and optimization of high-volume data workloads. • Experience designing, developing, and automating ETL/ELT workflows and data integration pipelines. • Experience building, optimizing, and maintaining scalable databases, data pipelines and data processing frameworks. • Experience with workflow orchestration and pipeline automation tools such as Apache Airflow, Prefect, Dagster, or AWS Step Functions. • Experience migrating workflows and data pipelines between on-premises and cloud environments. • Experience processing, analyzing, and integrating structured and unstructured data sources. • Experience developing in Linux environments and using source control platforms such as GitLab and/or GitHub. • Experience performing root cause analysis on internal and external data and business processes to answer business questions and identify opportunities for improvement. • Ability to design and communicate enterprise information architecture at conceptual, logical, and physical levels. • In-depth experience designing and implementing database, data lake, and enterprise data platform solutions. • Strong hands-on software engineering and implementation experience, including development, testing, and deployment of data applications and services. • Excellent oral and written communication skills with a strong customer service orientation. • Exceptional analytical, problem-solving, and troubleshooting skills. Additional Desirable Skills/Experience Include: • Understanding of time series data and related analytical and forecasting techniques. • Experience working in a research environment and/or with economic or financial data. • Experience with NoSQL and graph database technologies. • Experience developing, training, deploying, and maintaining machine learning models. • Working experience with cloud technologies such as AWS, Microsoft Azure, and Snowflake. • Experience implementing data warehouses utilizing Change Data Capture (CDC) methodologies. • Experience implementing and maintaining CI/CD pipelines and DataOps platforms. • Working knowledge of additional programming and scripting languages such as Java, Scala, JavaScript, or Perl. System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law. Ref:

Job Description Job Description Job Title: AWS Cloud Security Architect Location: Plano, TX/Reston, VA/Columbia, SC/Knoxville, TN/Lafayette, LA/Birmingham, AL Work Model: Onsite - onsite Responsibilities Provide security architecture guidance for enterprise applications, AWS cloud environments, hybrid infrastructure, cybersecurity platforms, APIs, containers, data solutions, and AI enabled applications. Partner with application and engineering teams to securely migrate workloads from on premises environments to AWS and other approved cloud platforms. Define and maintain cloud security patterns, standards, guardrails, security requirements, reference architectures, and implementation guidance. Conduct security architecture reviews, threat modeling, and risk assessments for cloud native, hybrid, API, container, third-party, and AI/GenAI solutions. Define appropriate security controls and recommend remediation or compensating controls when security gaps are identified. Support secure AI/GenAI adoption, including LLM integrations, RAG implementations, prompt security, data protection, access controls, monitoring, logging, and human in the loop safeguards. Support AI governance and risk management processes, including security reviews, monitoring requirements, incident escalation, and lifecycle controls. Assess solutions against applicable security frameworks and standards, including NIST, FedRAMP, and FIPS. Provide security guidance during technology evaluations, architecture reviews, security exceptions, and path to production activities. Work with cybersecurity engineering and operations teams on security capabilities involving SIEM, network security, endpoint security, data protection, and security configuration. Communicate security risks, requirements, and recommendations clearly to both technical teams and business stakeholders. Requirements 8+ years of overall IT experience, including significant cybersecurity and cloud security experience. 5+ years of cybersecurity architecture experience in roles such as Information Security Architect, Cloud Security Architect, or Infrastructure Security Architect. 5+ years of hands-on AWS cloud security experience, including securing enterprise workloads and cloud migrations. Strong knowledge of AWS security services, controls, IAM, networking, logging, monitoring, data protection, and cloud security best practices. Experience securing enterprise cloud and hybrid environments and performing security architecture reviews. Experience with threat modeling, security risk assessments, control gap analysis, and remediation planning. Knowledge of cybersecurity and compliance frameworks such as NIST, FedRAMP, and FIPS. Experience defining and applying security standards, patterns, guardrails, and technical security controls. Working knowledge of AI/GenAI security, including prompt injection, data leakage, model access controls, AI guardrails, observability, approved model usage, and human oversight. Understanding of security considerations for LLMs, RAG solutions, APIs, containers, and enterprise data integrations. Ability to work effectively with application developers, cloud and infrastructure engineers, cybersecurity teams, enterprise architecture, compliance, risk, and business stakeholders. Strong written and verbal communication skills with the ability to explain technical security risks and requirements clearly. Strong organizational, coordination, and stakeholder management skills. CISSP, CCSP, CISA, CISM, GIAC, or similar cybersecurity certification is preferred. AWS Certified Security - Specialty, Azure AZ 500, or another relevant cloud security certification is preferred. Desired Skillset: Security experience across Azure and/or GCP in addition to AWS. AI/GenAI security, AI governance, or AI risk management experience. Container and workload security experience covering build time and runtime controls. API security experience, including enterprise API gateways. Security engineering experience with SIEM, firewalls, endpoint/host security, or security configuration management. Experience with AI-enabled cybersecurity capabilities such as security analysis, vulnerability prioritization, detection support, secure code review, or workflow automation. CISSP, CCSP, CISA, CISM, GIAC, or similar cybersecurity certification. AWS Certified Security - Specialty, Azure Security Engineer Associate (AZ 500), or comparable cloud security certification. Education: Bachelor's degree in Computer Science, Information Systems, or a related field. System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law. Ref: Pittsburgh

Job Description Job Description Role : Data Architect Role with Pharma Domain Rate: $75-78/hr. Client Full Address: LAKEWOOD 44107, OH Remote / WFO / Hybrid: Hybrid Hire Type (FTE/Contract): Both Project Duration: 1 year Indent ID: PSL310833-15 Required Skills: Programming: Proficiency in Python, R, and SQL. Math and Stats: Strong background in statistics, probability, and algebra. Tools: Experience with data frameworks, big data tools, and visualization software like Tableau or Power BI. Education: Bachelor's or master's degree in computer science, Math, Statistics, Engineering, or a related quantitative field. Mandatory Skills Knowledge / Good understanding of PubMed Data Experience as Disease management SME Experience in Scrum Some Alteryx & Snowflake experience Familiarity with: PubMed, its data, MeSH structure Clinical trials data, clinicaltrials.gov Claims: Mx and Rx data, ICD10 codes, taxonomies, CPT, NDC (less important than PubMed) JIRA/Confluence Alteryx Gallery and Designer Tableau desktop, Curator Role & Responsibilities: Oversee the completion of projects from internal kickoff, development, delivery, and continuing support Coordinating with other teams to ensure the scope of the project is correct/meeting client's expectations Manage development and other teams Set up and run internal workflows and manage data as it is modified per project. Ensure project data is prepared and uploaded to client inface in a timely manner Maintain project refresh schedule Interface with vendors: order profile information, conference abstracts Troubleshoot data issues on a project-by-project basis Collaborate with Product department on potential updates to the deliverable Looking for below Technical Domain Expertise under Health Care sector. Data Collection: Gather structured and unstructured data from internal and external sources. Data Cleaning: Process, verify, and clean data to ensure accuracy. Model Building: Design and train machine learning models and predictive algorithms. Analysis: Run exploratory data analysis to find hidden trends and patterns. Communication: Share findings with company leaders using clear reports and visual dashboards

Job Description Job Description Job Title: Senior Data Architect / Data Solutions Lead (Insurance) Location : Hartford, CT 06155 (Hybrid) Rate : $75/hr. Salary : $130K Job Overview We are seeking a Senior Data Architect to design and modernize data platforms across personal insurance lines, specifically Automobile, Personal, and Homeowners insurance. You will lead the modern migration of legacy core systems Mainframe and DB2 into a high-performance Duck Creek cloud ecosystem. Your primary focus will be architecting data solutions using Snowflake, PostgreSQL, and Python, with a specific emphasis on Duck Creek Clarity policy, billing, and claims data models. You will establish robust Data Quality (DQ) frameworks to ensure accurate underwriting analytics, risk profiling, and regulatory reporting. Domain-Specific Responsibilities Multi-Line Integration: Architect data models that unify distinct data streams across Auto (vehicle telematics, driving history) and Homeowners (property risk, geographic data) lines of business. Duck Creek Integration: Design and manage ingestion pipelines from Duck Creek Clarity to extract, transform, and load comprehensive policy, billing, and claims workflows. Data Migration: Lead complex migration strategies transferring high-volume personal lines historical data from legacy mainframes or relational databases to modern cloud platforms. Data Quality Frameworks: Establish automated DQ rules and profiling to ensure pristine financial reporting, accurate loss-ratio calculations, and claims tracking. Pipeline Development: Build efficient, reusable data ingestion and transformation pipelines using Python and SQL. Predictive Analytics Support: Partner with Actuarial and Underwriting teams to structure data for pricing models, geographic hazard mapping, and customer lifetime value analytics. Required Skills and Qualifications Insurance Expertise: Minimum 5 years of experience working specifically with Personal Lines data (Automobile, Homeowners, Personal Property). Duck Creek Clarity: Deep structural understanding of Duck Creek Clarity schemas, transactional databases, and operational data stores. Cloud Data Warehousing: Expert-level design experience with Snowflake, including data sharing, clustering, and cost optimization. Relational Databases: Strong mastery of PostgreSQL implementation, indexing, and complex query optimization. Programming: Advanced proficiency in Python for data manipulation, scripting, data loading to Duck Creek and ETL frameworks. Data Migration Experience: Proven track record of handling large-scale core system migrations with zero data loss. Data Quality Tools: Experience with DQ frameworks using custom Python/PostgreSQL-based validations.

Job Description Job Description Job Title: EOIR Task Order Manager/Data Architect- EDI Location: Alexandria, VA Type: Contract Compensation: $175,000.00 - $185,000 Work Model: Onsite - onsite Hours: 40.0 Security Clearance: Must be able to obtain and maintain a DOJ Public Trust level security clearance Overview Responsibilities • Lead the planning, initiation, and management of the EOIR Enterprise Data Infrastructure (EDI) task order, serving as the primary liaison with the Contracting Officer and Contracting Officer Representative. • Supervise technical staff, ensuring timely delivery of all project milestones in accordance with scope and quality standards. • Develop and maintain key project documentation including the Task Order Management Plan, Quality Control Plan, Transition Plans, and Telework Management Plans. • Monitor project progress to meet deadlines, standards, and budget targets on a Firm-Fixed-Price contract. • Coordinate with department contract staff to provide fully integrated IT support for EOIR. • Lead a cross-functional team comprising data infrastructure, engineering, governance, analytics, search, cybersecurity, and quality professionals. • Design enterprise database system strategies and establish technical standards for data operations, development, and security across on-premises, cloud, and hybrid environments. • Design and construct data pipelines, ingestion processes (ETL/ELT), and data transformation rules, ensuring compliance with government standards. • Provide technical oversight and review for data architecture, pipelines, and workflows. • Lead integration of new systems with existing warehouse structures, focusing on system performance and continuous improvement. • Drive the delivery of analytics, reports, and dashboards using tools such as Microsoft Power BI. • Enhance enterprise search and unstructured data discovery capabilities while maintaining strict access controls per DOJ, FISMA, and FedRAMP security standards. • Lead data governance and quality management efforts, including metadata creation and data lineage documentation. • Conduct current-state assessments, identify gaps and risks, and develop mission-focused, cost-effective improvement roadmaps. Requirements • Bachelor's degree in Computer Science, Information Technology, Data Science, Systems Engineering, or a related discipline (Master's preferred). • Ability to obtain and maintain a DOJ Public Trust security clearance (active or recent high-level clearance preferred). • 8-10 years of experience in enterprise IT, with at least 5 years as a Data Architect, Data Engineer, or Enterprise Architect. • Minimum of 5 years managing IT projects and programs, with experience in Federal Firm-Fixed-Price contracts. • Proven experience in enterprise data architecture, standards, and documentation including data dictionaries, metadata, and lineage. • Demonstrated capability in dashboard/reporting development, data quality assessments, and enterprise search improvements. • Experience conducting current-state assessments and developing technical roadmaps. • PMP certification required. • Technical certifications such as CDMP, AWS Certified Data Engineer, Microsoft Certified Azure Data Engineer, or AWS/Azure Solutions Architect highly preferred. • Deep understanding of modern data ingestion techniques, data governance platforms, enterprise search technologies, and BI tools such as Microsoft Power BI. • Exceptional written and verbal communication skills, capable of translating technical concepts to non-technical stakeholders. System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law. Ref:

Job Description Job Description SteerBridge is a modern technology company delivering innovative, mission focused solutions to the U.S. Government and private sector. Leveraging deep expertise in federal acquisition, digital transformation, and emerging technologies, we deliver agile, commercial grade capabilities that accelerate operational effectiveness and drive measurable mission success. At the core of SteerBridge is our people-especially the veterans whose leadership, problem solving mindset, and commitment to excellence elevate every project we support. We don't simply hire exceptional talent; we cultivate it , creating meaningful career pathways for veterans, military spouses, and professionals who share our passion for advancing technology and strengthening the missions we serve. Position Overview SteerBridge is seeking a Data Architect (Mid-Level) to support operations and sustainment efforts for the Modern Disability Claims program. This role will focus on designing, building, and maintaining scalable data architectures that support claims intake, adjudication workflows, clinical and claims data integration, and performance analytics for the program. The ideal candidate has hands-on experience designing modern data solutions, developing data pipelines, and supporting enterprise analytics environments within cloud-based ecosystems. Key Responsibilities Design and implement scalable data architectures and data models that support analytics, reporting, and operational needs. Develop, maintain, and optimize ETL/ELT pipelines integrating data from multiple structured and unstructured sources. Build and maintain cloud-based data platforms, data warehouses, and related infrastructure. Collaborate with data scientists, engineers, and stakeholders to develop data solutions supporting machine learning and advanced analytics initiatives. Implement and maintain data governance, security, data quality, and integrity standards across data environments. Monitor and optimize database and data platform performance, scalability, reliability, and availability. Support data modernization initiatives, including migration and transformation of legacy data environments to modern cloud-based architectures. Required Qualifications Eligibility requirements: U.S. citizenship is required for this position under applicable federal contract requirements. Candidate must also be able to obtain and maintain the security clearance required for the role, including a Public Trust clearance; an active Secret or Top Secret clearance also satisfies this requirement. Bachelor's degree in Computer Science, Systems Engineering, Data Science, or a related field. 3+ years of experience in data architecture, with demonstrated ownership of enterprise data warehouse design. Strong proficiency with Python, SQL, Pandas, PySpark, NumPy, and Git. Experience with data warehousing technologies such as Databricks, Amazon Redshift, Google BigQuery, or Apache Hive. Experience developing and automating large-scale data environments. Preferred Qualifications Familiarity with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn. Experience designing conceptual, logical, and physical data models and modern data lake and data warehouse architectures across AWS, Azure, or GCP. Experience with big data and distributed computing technologies such as Apache Kafka, Airflow, Spark, or NiFi. Experience supporting AI/ML workflows, analytics platforms, and large-scale data processing environments. Knowledge of data governance, security, compliance, CI/CD pipelines, and software development best practices. Experience supporting defense, healthcare, benefits administration, or other mission-critical federal programs. Benefits Health insurance Dental insurance Vision insurance Life Insurance 401(k) Retirement Plan with matching Paid Time Off Paid Federal Holidays The posted compensation range reflects the scope and requirements of this position. A final offer will be determined based on the candidate's relevant experience, skills, education, certifications, and work location, along with the responsibilities of the position. Where applicable, contract requirements, wage determinations, and federal contract labor categories may also inform the offer. SteerBridge also offers benefits that may include health and life insurance, paid time off, paid holidays, disability coverage, retirement savings, and professional development opportunities. Benefits vary by position and eligibility. SteerBridge is proud to be an Equal Opportunity Employer. We are committed to creating a diverse and inclusive workplace where all qualified applicants and employees are treated with respect and dignity-regardless of race, color, gender, age, religion, national origin, ancestry, disability, veteran status, genetic information, sexual orientation, or any other characteristic protected by law. We also provide reasonable accommodations for individuals with disabilities in accordance with applicable laws. If you require assistance during the application process, we encourage you to reach out so we can support your needs. SteerBridge is proud to be an Equal Opportunity Employer. We are committed to creating a diverse and inclusive workplace where all qualified applicants and employees are treated with respect and dignity-regardless of race, color, gender, age, religion, national origin, ancestry, disability, veteran status, genetic information, sexual orientation, or any other characteristic protected by law. We also provide reasonable accommodations for individuals with disabilities in accordance with applicable laws. If you require assistance during the application process, we encourage you to reach out so we can support your needs. If you would like information about how your application is processed, please contact us.

Job Description Job Description Job Title: Security Architect We are seeking a highly skilled and experienced Security Architect with a strong background in Agile methodologies. The ideal candidate will be responsible for designing and implementing robust security architectures that protect our organization's information systems and data. This role requires a deep understanding of security principles, risk management, and the ability to work collaboratively in an Agile environment. Responsibilities: Design and implement security architectures that align with business objectives and compliance requirements. Conduct risk assessments and vulnerability analyses to identify potential security threats and recommend mitigation strategies. Collaborate with cross functional teams to integrate security practices into Agile development processes. Develop and maintain security policies, standards, and procedures to ensure the protection of sensitive information. Provide guidance and support to development teams on secure coding practices and security best practices. Stay current with emerging security technologies and trends to continuously improve the security posture of the organization. Lead security audits and assessments to ensure compliance with industry standards and regulations. Communicate security risks and recommendations to stakeholders at all levels of the organization. Mandatory Skills: 15 years of experience in information security, with a focus on security architecture. Strong knowledge of Agile methodologies and experience working in Agile environments. Expertise in security frameworks such as NIST, ISO 27001, and CIS. Proficiency in risk management and vulnerability assessment tools. Experience with cloud security and securing cloud based applications. Strong analytical and problem solving skills. Excellent communication and interpersonal skills. Preferred Skills: Certifications such as CISSP, CISM, or CEH. Experience with DevSecOps practices. Knowledge of regulatory requirements such as GDPR, HIPAA, or PCI DSS. Familiarity with security tools such as SIEM, IDS/IPS, and firewalls. Qualifications: Bachelor's degree in Computer Science, Information Technology, or a related field. Master's degree or relevant certifications are a plus. Proven track record of successfully implementing security solutions in complex environments. If you are a seasoned Security Architect with a passion for Agile methodologies and a commitment to safeguarding information systems, we encourage you to apply for this exciting opportunity.

Job Description Job Description Job Title: Security Architec We are seeking a highly skilled and experienced Security Architect with a strong background in Agile methodologies. The ideal candidate will be responsible for designing and implementing robust security architectures that protect our organization's information systems and data. This role requires a deep understanding of security principles, risk management, and the ability to work collaboratively in an Agile environment. Responsibilities: Design and implement security architectures that align with business objectives and compliance requirements. Conduct risk assessments and vulnerability analyses to identify potential security threats and recommend mitigation strategies. Collaborate with cross functional teams to integrate security practices into Agile development processes. Develop and maintain security policies, standards, and procedures to ensure the protection of sensitive information. Provide guidance and support to development teams on secure coding practices and security best practices. Stay current with emerging security technologies and trends to continuously improve the security posture of the organization. Lead security audits and assessments to ensure compliance with industry standards and regulations. Communicate security risks and recommendations to stakeholders at all levels of the organization. Mandatory Skills: 15 years of experience in information security, with a focus on security architecture. Strong knowledge of Agile methodologies and experience working in Agile environments. Expertise in security frameworks such as NIST, ISO 27001, and CIS. Proficiency in risk management and vulnerability assessment tools. Experience with cloud security and securing cloud based applications. Strong analytical and problem solving skills. Excellent communication and interpersonal skills. Preferred Skills: Certifications such as CISSP, CISM, or CEH. Experience with DevSecOps practices. Knowledge of regulatory requirements such as GDPR, HIPAA, or PCI DSS. Familiarity with security tools such as SIEM, IDS/IPS, and firewalls. Qualifications: Bachelor's degree in Computer Science, Information Technology, or a related field. Master's degree or relevant certifications are a plus. Proven track record of successfully implementing security solutions in complex environments. If you are a seasoned Security Architect with a passion for Agile methodologies and a commitment to safeguarding information systems, we encourage you to apply for this exciting opportunity.

Job Description Job Description Title: Data Architect Location: Remote Duration: 6 Months Interview: Video Position Overview We are seeking an experienced Principal Data Architect to lead the design and execution of enterprise data architecture strategies that enable scalable, secure, and AI-driven business solutions. This is a highly strategic, hands-on role for a forward-thinking technology leader who can transform complex business requirements into modern data architectures that support both transactional systems and analytical consumption. Required Qualifications Extensive experience as a Data Architect, Principal Data Architect, or Enterprise Data Architect in large-scale enterprise environments. Strong expertise in Data Modeling, including conceptual, logical, and physical data modeling. Proven experience designing architectures for both transactional systems and data consumption platforms. Deep understanding of enterprise data architecture, data integration, data governance, and modern data platforms. Experience designing data solutions that enable Artificial Intelligence (AI), Machine Learning, and advanced analytics. Demonstrated ability to lead complex technology transformation initiatives from strategy through execution. Excellent analytical, problem-solving, and architectural design skills. Outstanding communication and presentation skills with the ability to influence executive stakeholders. Self-driven, proactive, and focused on delivering measurable business outcomes.

Job Description Job Description Job Title: AWS Cloud Security Architect Location: Plano, TX/Reston, VA/Columbia, SC/Knoxville, TN/Lafayette, LA/Birmingham, AL Work Model: Onsite - onsite Responsibilities Provide security architecture guidance for enterprise applications, AWS cloud environments, hybrid infrastructure, cybersecurity platforms, APIs, containers, data solutions, and AI enabled applications. Partner with application and engineering teams to securely migrate workloads from on premises environments to AWS and other approved cloud platforms. Define and maintain cloud security patterns, standards, guardrails, security requirements, reference architectures, and implementation guidance. Conduct security architecture reviews, threat modeling, and risk assessments for cloud native, hybrid, API, container, third-party, and AI/GenAI solutions. Define appropriate security controls and recommend remediation or compensating controls when security gaps are identified. Support secure AI/GenAI adoption, including LLM integrations, RAG implementations, prompt security, data protection, access controls, monitoring, logging, and human in the loop safeguards. Support AI governance and risk management processes, including security reviews, monitoring requirements, incident escalation, and lifecycle controls. Assess solutions against applicable security frameworks and standards, including NIST, FedRAMP, and FIPS. Provide security guidance during technology evaluations, architecture reviews, security exceptions, and path to production activities. Work with cybersecurity engineering and operations teams on security capabilities involving SIEM, network security, endpoint security, data protection, and security configuration. Communicate security risks, requirements, and recommendations clearly to both technical teams and business stakeholders. Requirements 8+ years of overall IT experience, including significant cybersecurity and cloud security experience. 5+ years of cybersecurity architecture experience in roles such as Information Security Architect, Cloud Security Architect, or Infrastructure Security Architect. 5+ years of hands-on AWS cloud security experience, including securing enterprise workloads and cloud migrations. Strong knowledge of AWS security services, controls, IAM, networking, logging, monitoring, data protection, and cloud security best practices. Experience securing enterprise cloud and hybrid environments and performing security architecture reviews. Experience with threat modeling, security risk assessments, control gap analysis, and remediation planning. Knowledge of cybersecurity and compliance frameworks such as NIST, FedRAMP, and FIPS. Experience defining and applying security standards, patterns, guardrails, and technical security controls. Working knowledge of AI/GenAI security, including prompt injection, data leakage, model access controls, AI guardrails, observability, approved model usage, and human oversight. Understanding of security considerations for LLMs, RAG solutions, APIs, containers, and enterprise data integrations. Ability to work effectively with application developers, cloud and infrastructure engineers, cybersecurity teams, enterprise architecture, compliance, risk, and business stakeholders. Strong written and verbal communication skills with the ability to explain technical security risks and requirements clearly. Strong organizational, coordination, and stakeholder management skills. CISSP, CCSP, CISA, CISM, GIAC, or similar cybersecurity certification is preferred. AWS Certified Security - Specialty, Azure AZ 500, or another relevant cloud security certification is preferred. Desired Skillset: Security experience across Azure and/or GCP in addition to AWS. AI/GenAI security, AI governance, or AI risk management experience. Container and workload security experience covering build time and runtime controls. API security experience, including enterprise API gateways. Security engineering experience with SIEM, firewalls, endpoint/host security, or security configuration management. Experience with AI-enabled cybersecurity capabilities such as security analysis, vulnerability prioritization, detection support, secure code review, or workflow automation. CISSP, CCSP, CISA, CISM, GIAC, or similar cybersecurity certification. AWS Certified Security - Specialty, Azure Security Engineer Associate (AZ 500), or comparable cloud security certification. Education: Bachelor's degree in Computer Science, Information Systems, or a related field. System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan. System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law. Ref: Pittsburgh