Title: Data Modeler (Capital Markets) - NC Location: Charlotte United States Employee Type: Contract Location: Charlotte, NC, US Job Type: Pay Range: $96 - $102 per hour Job Description: Job#: 3031334 Job Description: Client: Financial Services Team: Enterprise Data / Capital Markets Engineering Job Title: Senior Data Modeler / Domain Model Lead – Enterprise CDM (Capital Markets) Location: Charlotte, NC – Uptown | Hybrid (3x/week onsite) Contract Length: Through end of 2026 (strong potential to extend/convert) Rate: $90-100/hr Interview Process: 1 round – 30 min MS Teams Top Requirements: - 7+ years of data modeling/engineering experience - Strong capital markets domain knowledge (front-to-back lifecycle) - Experience building or owning a Common Domain Model (CDM) / canonical data model - Cross-asset exposure (rates, FX, credit, equities, etc.) - Strong stakeholder management across Trading, Risk, Ops, Finance - Experience with data governance, lineage, and schema/version control Plusses: - Exposure to ISDA CDM and/or FINOS ecosystem - Experience with event-driven architectures or API/data contract modeling - Background supporting regulatory/risk reporting use cases - Exposure to AI/LLM-ready data modeling (semantic layers, RAG, etc.) Job Summary: Seeking a Senior Data Modeler to act as the enterprise owner of a cross-asset Common Domain Model (CDM) supporting capital markets and investment banking. This role sits at the intersection of data strategy, governance, and engineering—defining canonical business semantics across trading, risk, finance, and operations platforms. This person will drive standardization across the enterprise, ensuring consistent definitions for trades, products, lifecycle events, parties, and reference data while enabling interoperability across systems. The role requires a strong blend of technical modeling expertise, capital markets knowledge, and governance leadership. Day-to-Day Responsibilities: - Own and evolve the enterprise CDM strategy and roadmap across capital markets - Design and maintain canonical models for trades, lifecycle events, positions, and reference data - Establish and enforce modeling standards (naming, relationships, constraints, definitions) - Lead cross-functional working sessions to align on data definitions across business lines - Manage schema versioning, release processes, and impact analysis for model changes - Drive adoption by creating mapping frameworks and onboarding guidance for systems - Partner with engineering and architecture teams to ensure scalable implementation - Support AI/ML readiness by enabling structured, well-defined, and governed datasets - Prevent “shadow models” and ensure enterprise-wide consistency Notes / Selling Points: - True enterprise-level ownership role (not just hands-on modeling) - Highly visible with senior leadership and multiple LOBs - Strategic + technical blend (rare combo = hard to find, high impact) - Sitting at the core of data standardization across capital markets - Opportunity to influence long-term architecture + AI/data strategy EEO Employer Apex Systems is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law. Apex Systems is a world-class IT services company that serves thousands of clients across the globe. When you join Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRated's Best of Staffing® in Talent Satisfaction in the United States and Great Place to Work® in the United Kingdom and Mexico. Apex uses a virtual recruiter as part of the application process. Click here for more details. Apex Benefits Overview: Apex offers a range of supplemental benefits, including medical, dental, vision, life, disability, and other insurance plans that offer an optional layer of financial protection. We offer an ESPP (employee stock purchase program) and a 401K program which allows you to contribute typically within 30 days of starting, with a company match after 12 months of tenure. Apex also offers a HSA (Health Savings Account on the HDHP plan), a SupportLinc Employee Assistance Program (EAP) with up to 8 free counseling sessions, a corporate discount savings program and other discounts. In terms of professional development, Apex hosts an on-demand training program, provides access to certification prep and a library of technical and leadership courses/books/seminars once you have 6+ months of tenure, and certification discounts and other perks to associations that include CompTIA and IIBA. Apex has a dedicated customer service team for our Consultants that can address questions around benefits and other resources, as well as a certified Career Coach. You can access a full list of our benefits, programs, support teams and resources within our ‘Welcome Packet’ as well, which an Apex team member can provide.

Role Description We are seeking a Senior Data Engineer to help shape and scale our modern data platform built on Microsoft Fabric. We have established the foundation of a lakehouse architecture, ingesting device and SaaS application data from thousands of medical dispensing cabinets deployed globally. The next phase is expanding and hardening this platform to support: - Product intelligence and AI-driven insights - Customer-facing analytics and reporting - Internal operational efficiency and automation - Scalable, trustworthy enterprise data models This role is both strategic and hands-on. You will design, build, and optimize scalable data pipelines and semantic models while helping define the future of our analytics and AI capabilities. Qualifications - 5+ years of professional experience in data engineering or analytics engineering - Hands-on experience with Microsoft Fabric (lakehouse, pipelines, notebooks, semantic models) - Strong experience with PySpark and distributed data processing - Deep understanding of modern data architectures (lakehouse, medallion patterns) - Experience designing scalable ETL/ELT pipelines - Strong SQL skills and data modeling expertise - Experience working with event-driven or streaming data systems - Strong collaboration and communication skills - Comfortable working cross-functionally with engineering, product, and business teams Requirements - Experience with IoT or device-generated data - Experience integrating operational systems (SaaS platforms, APIs) into analytics environments - Familiarity with Azure services (Event Hubs, Cosmos DB, Azure SQL) - Exposure to AI/ML workflows and feature engineering - Experience implementing data governance and lineage tooling Company Description Mashura is building modern software and connected device solutions that support medical dispensing workflows across veterinary and dental practices. Our platform spans cloud services, APIs, modern web applications, and IoT-connected systems deployed globally.

Title: Senior Data Engineer - Remote Location: Eden Prairie United States Job Description: Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. Optum Government Solutions (OGS) partners with federal and state agencies to modernize health and human services programs through data, analytics, and technology. OGS supports large scale Medicaid Enterprise Data Warehouse (EDW), analytics, and federal reporting programs that enable program integrity, regulatory compliance, and data driven decision making for state agencies. Optum is seeking a hands on Senior Data Engineer (ETL / Python Developer) to support the Enterprise Data Warehouse (EDW) and Analytics Program. This role plays a critical part in designing, developing, and maintaining scalable data ingestion and transformation pipelines that support Medicaid analytics, federal reporting, and enterprise decision support. The ideal candidate brings strong ETL and Python engineering expertise, experience working with large healthcare datasets, and the ability to operate effectively in a regulated, audit sensitive environment. This is a delivery focused role requiring close collaboration with architects, analysts, QA, PMs, SMEs, developers, and reporting BI teams across both legacy and cloud based platforms. You'll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week. Primary Responsibilities: - Design, develop, and maintain enterprise ETL pipelines using Azure Data Factory (ADF), Informatica PowerCenter, and Python based frameworks - Build and optimize scalable data processing solutions using Python, Spark, and Databricks - Support Medicaid analytics and federal reporting initiatives (e.g., T MSIS, PERM, MARS, Quality of Care) - Develop robust data validation, reconciliation, and audit traceable data pipelines - Write and optimize SQL and stored procedures across relational platforms such as Snowflake, Oracle, and SQL Server - Participate in cloud migration and modernization initiatives within Azure based architectures - Collaborate with analysts, QA, and reporting teams to ensure data quality, accuracy, and timeliness - Follow data engineering best practices for performance, reliability, reusability, and security - Support production operations, incident resolution, and root cause analysis - Participate in code reviews, source control, and CI/CD processes using Azure DevOps and GitHub You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in. Required Qualifications: - 5+ years of data engineering experience with a focus on enterprise data warehousing - 5+ years of hands on ETL development using Informatica PowerCenter, Azure Data Factory, or similar tools - 5+ years of Python development for data engineering and automation - 3+ years of experience with Spark based processing frameworks (Databricks or equivalent) - Solid SQL expertise and experience with relational databases (such as Teradata, Snowflake, Oracle, SQL Server) - Experience with source control and DevOps practices (Azure DevOps, GitHub, CI/CD) - Proven solid analytical, problem solving, and troubleshooting skills - Periodic travel may be required based on project or customer needs Preferred Qualifications: - Bachelor's degree or higher in Computer Science, Engineering, Analytics, or a related field - Azure certifications related to data engineering or analytics - Experience supporting State Medicaid EDW or MMIS analytics environments - Healthcare or public sector analytics experience (Medicaid / Medicare preferred) - Data modeling experience in enterprise data warehouse environments - Scripting experience (PowerShell, Bash) for automation and orchestration - Experience designing or consuming APIs (REST) within data platforms - Familiarity with data quality frameworks, reconciliation, and audit support - All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $91,700 to $163,700 annually based on full-time employment. We comply with all minimum wage laws as applicable. Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants. At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission. UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations. UnitedHealth Group is a drug-free workplace. Candidates are required to pass a drug test before beginning employment.

Title: Data Architect Senior Staff - Level 5 Location: Fort Worth United States Job Description: Job ID: 724701BR What You Will Be Doing: Designs and implements enterprise‑wide data solutions that define how data is stored, integrated, consumed, and managed across multiple IT systems and business applications. Responsibilities include creating conceptual, logical, and physical data models; architecting end‑to‑end data pipelines (ETL/ELT, streaming, SAP/HANA integration); establishing data‑governance and metadata standards; enabling analytics and AI/ML workloads through containerized deployments; and collaborating with business partners to translate requirements into secure, high‑performance data platforms. What’s In It For You: From onsite to remote, we offer flexible work schedules to comprehensive benefits investing in your future and security. Learn more about Lockheed Martin’s comprehensive benefits package here. Do you want to be part of a company culture that empowers employees to think big, lead with a growth mindset, and make the impossible a reality? We provide the resources and give you the flexibility to enable inspiration and focus - if you have the passion and courage to dream big, work hard, and have fun doing what you love then we want to build a better tomorrow with you. Basic Qualifications: -Bachelor’s degree in Computer Science, Data Science, Statistics, Engineering, or a related quantitative field (Master’s preferred) -Proven ability to design and deploy enterprise data platforms that integrate SAP/HANA or equivalent and Python‑based pipelines -Strong expertise in SQL with complex query writing and optimization; -Hands‑on experience with data‑warehousing concepts (for example; ETL, data modeling, reporting) -Proficiency in Python (or R) for data manipulation and statistical analysis -Ability to obtain and maintain a Secret security clearance; excellent written and verbal communication skills for interfacing with technical and non‑technical stakeholders. Desired Skills: -Master’s degree in Data Science, Statistics, Computer Science, or a related field -Experience with containerization technologies such as Docker and Kubernetes -Deep knowledge of statistical modeling and machine‑learning techniques -Demonstrated ability to design, develop, and deploy AI‑powered solutions on high‑performance compute infrastructure -Proficiency with data‑visualization tools like Tableau or Power BI; -Familiarity with SAP ERP and analytics tools; certifications in cloud data services (e.g., AWS Data Analytics, Google Professional Data Engineer) or equivalent. Security Clearance Statement:This position requires a government security clearance, you must be a US Citizen for consideration. Clearance Level:Secret Other Important Information You Should Know Expression of Interest:By applying to this job, you are expressing interest in this position and could be considered for other career opportunities where similar skills and requirements have been identified as a match. Should this match be identified you may be contacted for this and future openings. Ability to Work Remotely:Part-time Remote Telework: The employee selected for this position will work part of their work schedule remotely and part of their work schedule at a designated Lockheed Martin facility. The specific weekly schedule will be discussed during the hiring process. Work Schedules:Lockheed Martin supports a variety of alternate work schedules that provide additional flexibility to our employees. Schedules range from standard 40 hours over a five day work week while others may be condensed. These condensed schedules provide employees with additional time away from the office and are in addition to our Paid Time off benefits. Lockheed Martin is an equal opportunity employer. Qualified candidates will be considered without regard to legally protected characteristics. At Lockheed Martin, we use our passion for purposeful innovation to help keep people safe and solve the world's most complex challenges. Our people are some of the greatest minds in the industry and truly make Lockheed Martin a great place to work. With our employees as our priority, we provide diverse career opportunities designed to propel, develop, and boost agility. Our flexible schedules, competitive pay, and comprehensive benefits enable our employees to live a healthy, fulfilling life at and outside of work. We place an emphasis on empowering our employees by fostering an inclusive environment built upon integrity and corporate responsibility. If this sounds like a culture you connect with, you’re invited to apply for this role. Or, if you are unsure whether your experience aligns with the requirements of this position, we encourage you to search on Lockheed Martin Jobs, and apply for roles that align with your qualifications. Experience Level:Experienced Professional Business Unit:AERONAUTICS COMPANY Relocation Available:Possible Career Area:Data Science Type:Full-Time Shift:First About At Lockheed Martin, we apply our passion for purposeful innovation to keep people safe and solve the world's most complex challenges. Pioneering Defense Technology: From aerospace to outer space to cyber space, you can innovate mission solutions alongside the best minds in the business. United By Culture: Excellence, integrity, and collaboration define us. We accelerate change and embrace one another’s perspectives to win for our customers. Real Impact, Real Growth: Grow your career and skills for life. Our wide array of opportunities and technology-driven learning programs enable your development and agility. Your Health, Your Wealth, Your Life: Competitive pay, comprehensive benefits and flexible schedules designed so you thrive — at work and beyond. Empowered to Be Your Best: Use your strengths to make a difference in the lives of one another, our customers, our communities, and our planet. Here, the possibilities are endless because we offer: - Flexible Schedules, dependent on role - Levels: Student, Entry, Mid, Senior, Management - Locations: Nationwide & OCONUS Positions