Senior data analyst- jobs in Towson, MD - 1,319 jobs

Senior BI Anayst (Legal ++) Compensation: $150,000 - $180,000 Base Salary with OT & Bonus Ranking: Top 10 Midsize Firm Logistics: NY, DC, LA Responsibilities: Work closely with the Chief Information Officer and department leaders to design, build, and maintain Power BI data models, dataflows and dashboards. Develop and maintain a data warehouse environment using Microsoft Fabric and Power BI. Create ETL pipeline using Power Query and related tools. Build and manage Power Automate workflows to support business process automation. Develop document automation solutions to reduce manual administration work. Prototype and deploy solutions using Microsoft Azure AI Services, AI Apps, and AI Agents. Assist in researching, testing, and evaluating new technologies for business operations and legal services needed. Collaborate with business stakeholders to document requirements and develop scalable solutions. Define and implement best practices for data governance, automation standards, and AI tool usage. Provide guidance and knowledge transfer to IT team members.

Job Title: Senior Selenium Automation Tester (.NET OR Java Environment) Clearance Requirement: Must have continuously resided in the U.S. for the past 3 years (Public Trust eligibility required) Experience: 8+ years Must Position Overview: Our Client is seeking a highly skilled Senior Selenium Automation Tester with at least 8+ years of experience in automation testing, particularly within .NET environments. The ideal candidate will be proficient in MS SQL and possess a strong background in designing and executing automated test suites using Selenium. This individual will play a critical role in ensuring the quality and reliability of mission-critical applications within the federal healthcare domain. Key Responsibilities: Design, develop, and maintain robust automated test scripts using Selenium WebDriver within a .NET framework. Collaborate with developers, QA engineers, and business analysts to define comprehensive test strategies and acceptance criteria. Execute automated and manual test plans; log, track, and follow up on defects through resolution. Perform backend data validation and analysis using MS SQL queries. Participate in sprint planning, code reviews, and quality assurance best practices to support Agile development cycles. Generate detailed test reports, documentation, and traceability matrices. Continuously improve and maintain the test automation framework. Required Qualifications: Minimum 8 years of hands-on experience with Selenium-based automation testing. Solid experience testing applications developed in .NET. Proficiency with MS SQL for backend data validation and query development. Familiarity with testing frameworks such as NUnit, MSTest,

12 Month Contract Onsite Only US Citizenship required Pay rate: Open The ideal The Tableau Developer serves as the technical lead for a specific department or functional area, designing, building, and maintaining Tableau visualizations that enable data-driven decision-making. Acting as the primary liaison between the department and IT, the Developer coordinates data-source approvals, migration of workbooks across environments, and signoffs for production releases. The role also involves providing Tier-1 support, knowledge transfer, and occasional Interactor-level responsibilities. Must be comfortable supporting users in a manufacturing environment. ________________________________________ Key Responsibilities - Prepare raw data for Tableau consumption. - Establish and maintain connections to new and existing data sources. - Create dimensions, measures, and calculated fields. - Perform data modeling using Tableau Desktop. - Develop interactive dashboards and reports on both Tableau Desktop and Tableau Server. - Verify data accuracy and consistency in collaboration with data engineers and analysts. - Engage with business stakeholders to understand data requirements and provide effective solutions. - Diagnose and resolve issues related to data, dashboards, or reports. - Maintain and enhance existing Tableau dashboards and reports. - Generate workbooks and hyper extracts in Tableau Desktop and deploy workbooks and data sources to Tableau Development and Quality Assurance environments. - Demonstrate advanced proficiency with Tableau Desktop and Server, along with solid understanding of database concepts and extensive hands-on SQL experience. - Apply best practices in data visualization, with a working knowledge of data analysis, modeling, and ETL processes, and familiarity with data warehousing and integration tools. - Build workbooks, dashboards, and Hyper extracts using Tableau Desktop. - Publish workbooks and data sources to Development and Production sites. - Refresh extracts and monitor extract schedules in the Development environment. - Conduct unit testing to ensure system integrity prior to production implementation. - Identify and resolve data-quality and performance issues in Tableau workbooks and data sources. - Monitor usage reports to optimize resource performance. - Manage and request appropriate access for Interactors and Viewers, ensuring compliance with established governance protocols. - Act as the primary point of contact for the department with the Tableau Admin Team, DBA Team, and functional users. - Coordinate releases, migrations, and sign-offs related to production deployments. - Provide comprehensive knowledge transfer and ongoing support to Interactors and Viewers. - Provide Tier-1 support for Tableau-related issues that arise within the department. - Assist with troubleshooting, debugging, and performance tuning as needed. Required Skills & Qualifications • Technical Expertise - Proficient with Tableau Desktop, Tableau Server/Online, and Hyper extracts. - Strong SQL skills for data extraction and transformation. - Experience integrating Tableau with R, Python, or other analytical languages is a plus. - Experience working with data-catalog tools such as Collibra. - Understanding of data privacy, security, and approval workflows. • Communication & Collaboration - Ability to translate complex business requirements into clear, effective visual analytics. - Excellent written and verbal communication skills, with comfort presenting to senior leadership. • Project Coordination - Demonstrated ability to manage multiple releases, track approvals, and meet deadlines. - Experience working collaboratively with cross-functional teams, including IT, DBAs, and functional users. • Education & Experience - bachelor's degree in computer science, Information Systems, Business Analytics, or a related field. - 2-4 years of practical, hands-on Tableau development experience, preferably within a departmental or functional-area context.

Arcland Property Company is the largest privately held owner, manager and developer of self storage in the Mid-Atlantic Region and rapidly growing regionally and nationally under the Self Storage Plus brand. We are seeking a candidate to join our team as an Acquisitions and Development Analyst. Position Summary: The ideal candidate must be a highly motivated self-starter who is intellectually curious, enjoys working in a fast-paced environment, and adapts easily to change. The Acquisitions and Development Analyst will be involved in all stages of the investment and development cycle. Essential Duties and Responsibilities Support the Acquisitions Team in underwriting and evaluating potential Class-A self storage development sites and existing assets nationally Prepare and maintain advanced financial models to support investment decisions, including detailed capital stack structuring and equity waterfall analyses Support the capital markets team to raise debt and equity for new investments Assist in preparing investment committee materials and presentation decks Maintain pipeline database Perform asset level due diligence and assist in deal execution Engage in outreach with storage owners, developers, and brokers within the commercial real estate industry Perform ad-hoc analyses critical to investment decision-making and market strategy Qualifications and Skills 1-2 years of experience in commercial real estate, finance, consulting, or a related field Strong analytical background with an interest in real estate investment and development Proficiency in Microsoft Office & Excel; familiarity with real estate financial modeling a plus Highly organized, detail-oriented, and adaptable Opportunistic, entrepreneurial spirit, “go-getter” Strong written and verbal communication skills Comfortable working both independently and as part of a small, collaborative team Bachelor's degree in real estate, finance, business, economics, or related field preferred In-office work required Compensation and Benefits Arcland offers a competitive salary based on experience and qualifications, as well as an excellent benefits package including: Employer-paid medical, dental, vision, disability, and life insurance 401(k) savings plan with employer match Flexible spending accounts Paid time off Professional development and mentorship opportunities If you're an ambitious and analytical individual looking to grow your career in commercial real estate, and you're excited to be part of a rapidly growing company and entrepreneurial environment, please reach out.

Senior Business Analyst - Data & Digital Platforms We are seeking a highly experienced, data-focused Business Analyst to support two key portfolios: an external digital portfolio (corporate websites and partnerships) and a data portfolio. This role requires strong Agile experience, the ability to work closely with backend and technical teams, and a deep understanding of how data flows across enterprise platforms. This is a hybrid role requiring 3-4 days onsite in Washington, DC (no relocation available). Key Responsibilities Support initiatives across external digital platforms and a data portfolio, including data portals, enterprise services, and regulatory frameworks. Elicit, document, and manage business and data requirements, user stories, and backlogs in an Agile environment. Work closely with backend, data, and engineering teams to ensure requirements are clearly understood and technically sound. Translate complex data flows and system interactions into business-ready documentation. Create and maintain dashboards and reporting (e.g., Azure DevOps). Coordinate across stakeholders and teams, demonstrating strong communication skills and situational awareness. Required Qualifications 8+ years of Business Analyst experience, with a strong data-centric focus. Proven experience working in Agile environments (Agile experience is required). Strong understanding of data platforms, portals, and metrics, including pulling data from disparate systems. Experience supporting or working alongside backend and technical teams. Technical aptitude (e.g., foundational computer science knowledge, understanding of system and data flow concepts); coding is not required. Experience working in large, enterprise-scale environments. Strong interpersonal skills, including the ability to navigate stakeholder dynamics effectively. Preferred / Nice-to-Have Adobe Experience Manager (AEM) experience (strong plus). Experience with enterprise CMS platforms. SAFe and/or Agile certifications. Experience creating dashboards and managing work items in Azure DevOps (ADO). Dexian stands at the forefront of Talent + Technology solutions with a presence spanning more than 70 locations worldwide and a team exceeding 10,000 professionals. As one of the largest technology and professional staffing companies and one of the largest minority-owned staffing companies in the United States, Dexian combines over 30 years of industry expertise with cutting-edge technologies to deliver comprehensive global services and support. Dexian connects the right talent and the right technology with the right organizations to deliver trajectory-changing results that help everyone achieve their ambitions and goals. To learn more, please visit ******************** Dexian is an Equal Opportunity Employer that recruits and hires qualified candidates without regard to race, religion, sex, sexual orientation, gender identity, age, national origin, ancestry, citizenship, disability, or veteran status.

Senior Analyst - Commercial Collections & Compliance The Commercial Collections & Compliance Analyst supports the operational performance of our retail real estate portfolio by creating systems, improving workflows, and delivering clear reporting for Operations, Asset Management, and Leadership. This role serves as a cross-functional coordinator with Leasing, Lease Administration, Legal, and Property Management to ensure accuracy, compliance, and timely resolution of tenant financial and operational obligations. **Hybrid schedule available, requires 3 days at our corporate office in Baltimore.** Key Responsibilities 1. Commercial Collections Management Lead the end-to-end collections process across the retail portfolio; build proactive workflows, tiering, triggers, and dashboards beyond standard automated reports. Manage arrearages 60+ days past due, escalating to legal, outside counsel, or enforcement actions when appropriate. Support bankruptcy tracking and reporting with guidance from Retail Leasing leadership and Legal. Coordinate payment plans and settlement agreements in partnership with Leasing. Oversee legal collections and evictions with outside counsel, ensuring accurate tracking across the portfolio. 2. Post-Eviction Recovery & Analysis Analyze post-eviction collectability and recommend recovery strategies. Manage the full post-eviction recovery process with outside counsel, including tracking outcomes and evaluating cost-benefit KPIs. Provide recovery performance reporting to Operations and Asset Management. 3. Compliance Monitoring: Sales Reporting & COIs Track and collect delinquent sales reports; conduct high-level audits for reasonableness and reporting frequency. Monitor tenant COI compliance and intervene when Lease Administration and Legal escalations are exhausted. Engage directly with tenants when necessary, requiring strong interpersonal and negotiation skills. Maintain accurate compliance records and communicate status updates internally. 4. Reporting, Metrics & Business Intelligence Maintain and enhance a quarterly BI matrix capturing key metrics such as arrearages, collections performance, recovery rates, COI compliance, and sales reporting compliance. Standardize processes and develop automated or semi-automated workflows where feasible. Produce actionable portfolio-level insights for senior leadership. 5. Cross-Functional Collaboration & Communication Serve as the central liaison across Leasing, Lease Administration, Legal, and Property Management. Ensure alignment on tenant status, collection strategies, compliance issues, and next steps. Provide timely updates and insights to Operations and Asset Management. Qualifications 3-5+ years in commercial property management, collections, lease administration, or similar role; retail experience preferred. Strong analytical capabilities, including BI tools, Excel, and portfolio reporting. Proven ability to build systems, workflows, and standardized processes. Excellent cross-functional communication and coordination skills. Working knowledge of commercial leases, legal processes, and tenant compliance requirements. Highly organized and effective in a fast-paced owner-operator environment. CRC is a 60+ year-old company with a best-in-class reputation as investors and operators. The firm is currently $4 billion in AUM. CRC is vertically-integrated and we are focused on delivering exceptional investment results through nuanced and thoughtful business strategies, unique to each asset.

As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. Retrain, maintain, and monitor models in production. Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models. Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. Use programming languages like Python, Scala, or Java. Basic Qualifications: Bachelor's Degree At least 8 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) At least 4 years of experience programming with Python, Scala, or Java At least 3 years of experience building, scaling, and optimizing ML systems At least 2 years of experience leading teams developing ML solutions Preferred Qualifications: Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow 3+ years of experience developing performant, resilient, and maintainable code 3+ years of experience with data gathering and preparation for ML models 3+ years of people management experience ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents 3+ years of experience building production-ready data pipelines that feed ML models Ability to communicate complex technical concepts clearly to a variety of audiences Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Chicago, IL: $209,000 - $238,500 for Sr. Lead Machine Learning Engineer McLean, VA: $229,900 - $262,400 for Sr. Lead Machine Learning Engineer New York, NY: $250,800 - $286,200 for Sr. Lead Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at ************** or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to ********************** Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

A leading construction firm is seeking a Senior Structural Technical Manager in Baltimore, MD, to oversee technical development and team training. The ideal candidate will manage engineering processes, ensure compliance with industry standards, and promote innovation. A minimum of fifteen years in structural engineering is required, along with strong leadership and communication skills. This role offers a dynamic work environment with opportunities for professional growth. #J-18808-Ljbffr

A leading agricultural firm located in Washington, D.C. is seeking a savvy Public Policy Manager. This role involves working closely with government officials and stakeholders on issues that affect the business. Candidates should have over 12 years of experience in public policy, strong analytical skills, and an understanding of the Congressional process. The compensation ranges from $156,800 to $196,000, plus an annual bonus. Benefits include health plans, 401(k) matching, parental leave, and generous PTO. #J-18808-Ljbffr

A financial services company is seeking an experienced Actuary to lead modeling activities on various insurance liabilities and manage risks like liquidity and credit. The ideal candidate will have advanced analytical skills and an FSA designation or equivalent. Responsibilities include collaborating with stakeholders, designing controls, and leading projects with accountability. This position offers a competitive salary and a range of employee benefits including medical and dental insurance, a pension plan, and 401k matching. #J-18808-Ljbffr

An engineering firm in Washington is seeking a Substation Physical Engineer with over 10 years of experience to join their Power Delivery team. This role requires proficiency in HV and MV Substation design, leadership skills, and the ability to work in a fast-paced environment. The base salary range is between $135,000 and $150,000, with eligibility for performance-based bonuses. Professional Engineering (P.E.) License is preferred or must be obtained within 12 months. #J-18808-Ljbffr

A proposal management firm is seeking a Senior Proposal Professional in Washington, D.C. The role involves leading the entire proposal lifecycle for government RFPs and ensuring compliance with submission standards. Candidates must have over 7 years of experience, exceptional attention to detail, and strong writing skills. The position offers a competitive compensation package in a collaborative work environment, where you will directly impact the company's growth. #J-18808-Ljbffr

Ansible Government Solutions, LLC (Ansible) is currently recruiting Data Analyst Jr. to support large programs focused on Innovation and Transformation within the Federal Health Sector. The Consultant will work with the Ansible team and federal healthcare clients to develop integrated program plans and execute on delivery of programs that span capability areas. The Consultant will provide business process reengineering expertise, healthcare operations analysis, and Lean Six Sigma methodologies to support transformation initiatives. Ansible is a Service-Disabled Veteran-Owned Small Business (SDVOSB) providing Federal customers with solutions in many arenas. Our customers face wide-ranging challenges in the fields of national security, health care, and information technology. To address these challenges, we employ intelligent and committed staff who take care of our customers' success as if it is their own. Responsibilities: Obtain and analyze data using computerized models and algorithms. Develop graphs and charts to communicate data insights and trends. Assist in presenting analytical findings to management and project teams. Support business initiatives by providing data-driven recommendations. Collaborate with senior analysts and cross-functional teams on data projects. Contribute to the preparation of reports and presentations using MS Excel, Power BI, and PowerPoint. Qualifications: Bachelor's degree (BA/BS) from an accredited college or university. Minimum of 3 years of experience in data analysis or a related field. Experience with data modeling, pattern recognition, and visualization. Proficiency in MS Word, Excel, Power BI, and PowerPoint. Strong analytical, problem-solving, and communication skills. Ability to work independently and as part of a team in a fast-paced environment. Ability to obtain a US Security Public Trust Clearance. Ability to work without sponsorship in the US indefinitely. Desired Skills: Experience with healthcare data analysis. Familiarity with VHA systems and files (e.g., CDW, VistA, VSSC, RAMP, PTF, MCA, PCMM, NPCD, VETSNET). Experience supporting healthcare transformation analytics. Salary Band: $95 - $105k (depending on experience) All candidates must be able to: Sit, stand, walk, lift, squat, bend, twist, and reach above shoulders during the work shift Lift up to 50 lbs from floor to waist Lift up to 20 lbs Carry up to 40 lbs a reasonable distance Push/pull with 30 lbs of force All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. AI & Data - Data Architecture - Senior Manager - Power & Utilities Sector EY is seeking a motivated professional with solid experience in the utilities sector to serve as a Senior Manager who possesses a robust background in Data Architecture, Data Modernization, End to end Data capabilities, AI, Gen AI, Agentic AI, preferably with a power systems / electrical engineering background and having delivered business use cases in Transmission / Distribution / Generation / Customer. The ideal candidate will have a history of working for consulting companies and be well-versed in the fast-paced culture of consulting work. This role is dedicated to the utilities sector, where the successful candidate will craft, deploy, and maintain large-scale AI data ready architectures. The opportunity You will help our clients enable better business outcomes while working in the rapidly growing Power & Utilities sector. You will have the opportunity to lead and develop your skill set to keep up with the ever-growing demands of the modern data platform. During implementation you will solve complex analytical problems to bring data to insights and enable the use of ML and AI at scale for your clients. This is a high growth area and a high visibility role with plenty of opportunities to enhance your skillset and build your career. As a Senior Manager in Data Architecture, you will have the opportunity to lead transformative technology projects and programs that align with our organizational strategy to achieve impactful outcomes. You will provide assurance to leadership by managing timelines, costs, and quality, and lead both technical and non-technical project teams in the development and implementation of cutting-edge technology solutions and infrastructure. You will have the opportunity to be face to face with external clients and build new and existing relationships in the sector. Your specialized knowledge in project and program delivery methods, including Agile and Waterfall, will be instrumental in coaching others and proposing solutions to technical constraints. Your key responsibilities In this pivotal role, you will be responsible for the effective management and delivery of one or more processes, solutions, and projects, with a focus on quality and effective risk management. You will drive continuous process improvement and identify innovative solutions through research, analysis, and best practices. Managing professional employees or supervising team members to deliver complex technical initiatives, you will apply your depth of expertise to guide others and interpret internal/external issues to recommend quality solutions. Your responsibilities will include: As Data Architect - Senior Manager, you will have an expert understanding of data architecture and data engineering and will be focused on problem-solving to design, architect, and present findings and solutions, leading more junior team members, and working with a wide variety of clients to sell and lead delivery of technology consulting services. You will be the go-to resource for understanding our clients' problems and responding with appropriate methodologies and solutions anchored around data architectures, platforms, and technologies. You are responsible for helping to win new business for EY. You are a trusted advisor with a broad understanding of digital transformation initiatives, the analytic technology landscape, industry trends and client motivations. You are also a charismatic communicator and thought leader, capable of going toe-to-toe with the C-level in our clients and prospects and willing and able to constructively challenge them. Skills and attributes for success To thrive in this role, you will need a combination of technical and business skills that will make a significant impact. Your skills will include: Technical Skills Applications Integration Cloud Computing and Cloud Computing Architecture Data Architecture Design and Modelling Data Integration and Data Quality AI/Agentic AI driven data operations Experience delivering business use cases in Transmission / Distribution / Generation / Customer. Strong relationship management and business development skills. Become a trusted advisor to your clients' senior decision makers and internal EY teams by establishing credibility and expertise in both data strategy in general and in the use of analytic technology solutions to solve business problems. Engage with senior business leaders to understand and shape their goals and objectives and their corresponding information needs and analytic requirements. Collaborate with cross-functional teams (Data Scientists, Business Analysts, and IT teams) to define data requirements, design solutions, and implement data strategies that align with our clients' objectives. Organize and lead workshops and design sessions with stakeholders, including clients, team members, and cross-functional partners, to capture requirements, understand use cases, personas, key business processes, brainstorm solutions, and align on data architecture strategies and projects. Lead the design and implementation of modern data architectures, supporting transactional, operational, analytical, and AI solutions. Direct and mentor global data architecture and engineering teams, fostering a culture of innovation, collaboration, and continuous improvement. Establish data governance policies and practices, including data security, quality, and lifecycle management. Stay abreast of industry trends and emerging technologies in data architecture and management, recommending innovations and improvements to enhance our capabilities. To qualify for the role, you must have A Bachelor's degree required in STEM 12+ years professional consulting experience in industry or in technology consulting. 12+ years hands-on experience in architecting, designing, delivering or optimizing data lake solutions. 5+ years' experience with native cloud products and services such as Azure or GCP. 8+ years of experience mentoring and leading teams of data architects and data engineers, fostering a culture of innovation and professional development. In-depth knowledge of data architecture principles and best practices, including data modelling, data warehousing, data lakes, and data integration. Demonstrated experience in leading large data engineering teams to design and build platforms with complex architectures and diverse features including various data flow patterns, relational and no-SQL databases, production-grade performance, and delivery to downstream use cases and applications. Hands-on experience in designing end-to-end architectures and pipelines that collect, process, and deliver data to its destination efficiently and reliably. Proficiency in data modelling techniques and the ability to choose appropriate architectural design patterns, including Data Fabrics, Data Mesh, Lake Houses, or Delta Lakes. Manage complex data analysis, migration, and integration of enterprise solutions to modern platforms, including code efficiency and performance optimizations. Previous hands‑on coding skills in languages commonly used in data engineering, such as Python, Java, or Scala. Ability to design data solutions that can scale horizontally and vertically while optimizing performance. Experience with containerization technologies like Docker and container orchestration platforms like Kubernetes for managing data workloads. Experience in version control systems (e.g. Git) and knowledge of DevOps practices for automating data engineering workflows (DataOps). Practical understanding of data encryption, access control, and security best practices to protect sensitive data. Experience leading Infrastructure and Security engineers and architects in overall platform build. Excellent leadership, communication, and project management skills. Data Security and Database Management Enterprise Data Management and Metadata Management Ontology Design and Systems Design Ideally, you'll also have Master's degree in Electrical / Power Systems Engineering, Computer science, Statistics, Applied Mathematics, Data Science, Machine Learning or commensurate professional experience. Experience working at big 4 or a major utility. Experience with cloud data platforms like Databricks. Experience in leading and influencing teams, with a focus on mentorship and professional development. A passion for innovation and the strategic application of emerging technologies to solve real-world challenges. The ability to foster an inclusive environment that values diverse perspectives and empowers team members. Building and Managing Relationships Client Trust and Value and Commercial Astuteness Communicating With Impact and Digital Fluency What we look for We are looking for top performers who demonstrate a blend of technical expertise and business acumen, with the ability to build strong client relationships and lead teams through change. Emotional agility and hybrid collaboration skills are key to success in this dynamic role. FY26NATAID What we offer you At EY, we'll develop you with future-focused skills and equip you with world-class experiences. We'll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more. We offer a comprehensive compensation and benefits package where you'll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $144,000 to $329,100. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $172,800 to $374,000. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options. Join us in our team‑led and leader‑enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year. Under our flexible vacation policy, you'll decide how much vacation time you need based on your own personal circumstances. You'll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well‑being. Are you ready to shape your future with confidence? Apply today. EY accepts applications for this position on an on‑going basis. For those living in California, please click here for additional information. EY focuses on high‑ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities. EY | Building a better working world EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories. EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law. EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY's Talent Shared Services Team (TSS) or email the TSS at ************************** . #J-18808-Ljbffr

Interface Support Analyst The Interface Support Analyst will provide support to internal and external customers, functioning as the first level of support for interface requests. At a high level, the role will be responsible for data feed alert management, facilitating communication with clients and vendors, and troubleshooting issues. The Interface Support Analyst will assist on ad-hoc requests from customers and work to provide resolutions in an efficient, timely manner. Essential Duties and Responsibilities: Include the following. Other duties may be assigned. Maintain operational status of production data feeds and systems Manage incoming inquiries on existing data feeds by answering questions, troubleshooting, and resolving open issues Formulate well documented descriptions of issues requiring code modifications and help to coordinate resolution of issues Improve resolution times and technical understanding by proactively researching and contributing to knowledge base Actively identify areas of improvement and follow through to completion of enhancement Manage data feed alerting, automate process, and continually build a customer technical contact list Assist QA with reviewing test interfaces and ensuring appropriate quality of downstream systems Daily and weekly on-call responsibilities Qualifications: To perform this job successfully, the incumbent must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Outstanding communication, organizational and interpersonal skills with both a technical and non-technical audience. Customer Service focused Strong understanding and knowledge of Healthcare standards such as HL7 V2 messages, HL7 CCDA, HL7 FHIR, and IHE ITI transactions Ability to evaluate and solve complex problems and issues Ability to work with many different stakeholders and subject matter experts from different backgrounds (clinical, business, technical) Take pride in delivering quality data that meets the client and end-user's needs Demonstrated ability to work well on a diverse team Knowledge of network connectivity and security principles (VPN, whitelisting, certificates, etc.) preferred Experience and/or Education Requirements: Bachelor's or Master's degree required in computer science or information systems 1 - 3 years of healthcare IT experience preferred, or equivalent Experience with JavaScript, XML, Mirth Connect, HL7 Interfaces, and FHIR resources, preferred Understanding of Healthcare Integrations via experience or education, preferred Experience with Microsoft Office, especially Excel Dexian is a leading provider of staffing, IT, and workforce solutions with over 12,000 employees and 70 locations worldwide. As one of the largest IT staffing companies and the 2nd largest minority-owned staffing company in the U.S., Dexian was formed in 2023 through the merger of DISYS and Signature Consultants. Combining the best elements of its core companies, Dexian's platform connects talent, technology, and organizations to produce game-changing results that help everyone achieve their ambitions and goals. Dexian's brands include Dexian DISYS, Dexian Signature Consultants, Dexian Government Solutions, Dexian Talent Development and Dexian IT Solutions. Visit ******************* to learn more. Dexian is an Equal Opportunity Employer that recruits and hires qualified candidates without regard to race, religion, sex, sexual orientation, gender identity, age, national origin, ancestry, citizenship, disability, or veteran status

A leading construction firm is seeking a Senior Structural Technical Manager in Baltimore, MD. The role requires overseeing the engineering team, implementing industry standards, and providing mentorship to team members. The ideal candidate will have 15 years of experience in structural engineering and strong leadership skills. Proficient knowledge of CAD software and project management is essential for success in this position. Competitive compensation and opportunities for professional growth are offered. #J-18808-Ljbffr

As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. Retrain, maintain, and monitor models in production. Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models. Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. Use programming languages like Python, Scala, or Java. Basic Qualifications: Bachelor's Degree At least 8 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) At least 4 years of experience programming with Python, Scala, or Java At least 3 years of experience building, scaling, and optimizing ML systems At least 2 years of experience leading teams developing ML solutions Preferred Qualifications: Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow 3+ years of experience developing performant, resilient, and maintainable code 3+ years of experience with data gathering and preparation for ML models 3+ years of people management experience ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents 3+ years of experience building production-ready data pipelines that feed ML models Ability to communicate complex technical concepts clearly to a variety of audiences Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Chicago, IL: $209,000 - $238,500 for Sr. Lead Machine Learning Engineer McLean, VA: $229,900 - $262,400 for Sr. Lead Machine Learning Engineer New York, NY: $250,800 - $286,200 for Sr. Lead Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at ************** or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to ********************** Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

A global consultancy firm is seeking a motivated Senior Manager in Data Architecture to drive transformative technology projects in the Power & Utilities sector. The ideal candidate will have over 12 years of experience in consulting, a robust background in data architecture, and strong skills in AI applications. This role involves leading teams, managing complex projects, and fostering client relationships while leveraging advanced technology to solve critical business challenges. An excellent opportunity for career growth awaits. #J-18808-Ljbffr

Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative,inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. We are seeking Data Engineers who are passionate about marrying data with emerging technologies. As a Capital One Senior Lead Data Engineer, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One. Intelligent Foundations & Experiences (IFX) is a powerful collective of horizontal technology organizations that are driving Capital One's real-time intelligent future. Together with our partners in the Enterprise and across lines of business, we deliver broad-reaching technical solutions and advance state-of-the-art science to help every Capital One associate and our 100+M customers succeed. What You'll Do: Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies Lead a team of developers with deep experience in machine learning, distributed microservices, and full stack systems Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment Perform unit tests and conduct reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performance Basic Qualifications: Bachelor's Degree At least 6 years of experience in application development (Internship experience does not apply) At least 2 years of experience in big data technologies At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) Preferred Qualifications: Master's Degree 9+ years of experience in application development including Python, SQL, Scala, or Java 4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) 5+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL) 4+ year experience working on real-time data and streaming applications 4+ years of experience with NoSQL implementation (Mongo, Cassandra) 4+ years of data warehousing experience (Redshift or Snowflake) 4+ years of experience with UNIX/Linux including basic commands and shell scripting 2+ years of experience with Agile engineering practices Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $225,400 - $257,200 for Sr. Lead Data Engineer Plano, TX: $204,900 - $233,800 for Sr. Lead Data Engineer Richmond, VA: $204,900 - $233,800 for Sr. Lead Data Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at ************** or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to ********************** Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).