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The Disney Decision Science and Integration (DDSI) team leverages advanced technologies, data analytics, and scientific approaches such as optimization and statistical modeling to build innovative tools that shape business decisions across The Walt Disney Company. We support Disney Entertainment (ABC, The Walt Disney Studios, Disney+, Hulu), ESPN, Disney Experiences (Theme Parks, Cruise Line, Consumer Products, DVC), and Corporate Finance with strategic applications that enable data-driven decision-making. This team works in office. What You Will Do As the Ontology/Semantic Librarian, you will lead the design, development, and governance of enterprise ontologies, semantic layers, and knowledge graphs that serve as the intelligent backbone for a modern federated data platform. This role combines deep semantic modeling expertise with hands-on implementation of graph technologies, vector databases, and federated data architectures to accelerate business value delivery. This role will make key contributions to the Data Unification initiative by enabling rapid discovery and utilization of our vast data assets across the Disney enterprise. Design and build enterprise ontologies and semantic models that align business objectives with technical implementation, ensuring rapid enablement of business use cases such as unified reporting, AI agents, data marketplaces, and cross-functional insights. Lead the creation and maintenance of semantic layer graphs, knowledge graphs, and entity graphs, clearly distinguishing and leveraging the strengths of each approach. Develop and implement strategies for using vector databases and graph databases (e.g., Neo4j, Amazon Neptune, Qdrant, or similar) to enable powerful LLM-augmented search and reasoning over highly federated, heterogeneous data stores. Partner with data engineering, AI, and business teams to translate business goals into ontological models that drive measurable outcomes. Design and evolve the enterprise Data Catalog with rich semantic metadata, lineage, and governance capabilities. Contribute to the development of a unified data access layer that supports querying across Snowflake, Databricks, PostgreSQL, MongoDB, S3, Kafka, and other sources through a single semantic interface. Implement and enforce enterprise security models (RBAC/ABAC, column/row-level security, and dynamic masking) through the ontology and semantic layer. Collaborate on AI integration initiatives, including building ontology-driven agents, RAG pipelines, and agent-to-agent communication protocols. Establish ontology governance processes, versioning, and lifecycle management to ensure scalability and consistency across the enterprise. Contribute to the internal Data Marketplace by defining semantic data products with clear business value and consumption models. Mentor team members on semantic technologies and best practices for ontology-driven data architecture. Required Qualifications & Skills 7+ years of experience in data engineering, data architecture, semantic technologies, knowledge engineering, or related fields with a strong technical implementation background. Deep expertise in ontology modeling (OWL, RDF, SKOS, SHACL) and graph technologies. Strong understanding of the differences between semantic layer graphs, knowledge graphs, and entity graphs and when to apply each. Hands-on experience with graph databases (Neo4j, Neptune, etc.) and vector databases for semantic search and LLM integration. Proficiency in designing and implementing Data Catalogs and semantic metadata management solutions. Experience building solutions on top of federated data architectures involving relational (PostgreSQL, Snowflake), document (MongoDB), object (S3), and streaming (Kafka) systems. Demonstrated ability to translate complex business goals into ontological designs that accelerate delivery of business value. Strong programming skills, particularly Python, SPARQL, Cypher, GraphQL, and SQL. Experience with modern data platforms, cloud services (AWS preferred), and infrastructure-as-code practices. Solid understanding of data governance, security (RBAC/ABAC, dynamic masking), and compliance in enterprise environments. Excellent communication skills with the ability to bridge business stakeholders and technical teams. Desired Qualifications Experience building ontologies in large, complex enterprises (especially with media, entertainment, hospitality, or consumer-focused businesses). Hands-on experience with Generative AI, LLMs, RAG architectures, and agentic systems. Familiarity with data marketplace or data product platforms. Prior work with Apache Iceberg, Trino/Presto, or similar federated query engines. Knowledge of semantic web standards and tools (Protégé, TopBraid, Stardog, etc.). Background in formal knowledge representation, taxonomy development, or master data management. Required Education Bachelor's degree and/or equivalent work experience Preferred Education Bachelor's degree in Computer Science, Information Systems, Data Science, Philosophy (with logic focus), Linguistics, or a related technical field (or equivalent experience). Master's degree or PhD in a relevant field (Semantic Technologies, AI, Data Science, or Computer Science). The hiring range for this position in Lake Buena Vista, FL is $148,300 to $198,800 per year, in Burbank, CA is $155,700 to $208,700 per year, and New York, NY or Seattle, WA is $163,100 to $218,700 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.

Don't Let the Job Market Intimidate You ! Let's get You Interviews and Offers with a Process! The tech job market can feel overwhelming, especially with layoffs and increased competition. But you don't have to navigate it alone. SynergisticIT gives you the toolsand support needed to stand out. You'll work on real projects, master in demand technologies, and receive interview preparation that boosts your confidence. Also get your profile directly to Fortune 500 companies, ensuring your skills reach real hiring managers. Instead of feeling intimidated, you'll feel empowered. The job market isn't impossible - you just need the right strategy, and Synergisticit provides exactly that. A degree gives you a foundation, but employers want more - they want proof you can apply your knowledge in real world scenarios. Employers want candidates who demonstrate practical skills, confidence, and readiness. SynergisticIT gives you the tools to rise above the noise. Getting hired in tech isn't just about knowing how to code - it's about proving you can deliver value from day one. Getting interviews but not converting them into offers is one of the most frustrating stages of a tech job search. It's also one of the most fixable-because interview performance is rarely about intelligence. It's usually about preparation structure, repetition, communication clarity, and knowing what interviewers actually test. Many candidates learn coding, but they don't learn how to present their skills under pressure. SynergisticIT is designed for candidates who want to stop guessing and start improving with a clear framework. Since 2010, SynergisticIT has helped thousands of candidates land full-time jobs at tech leaders and enterprise employers-companies such as Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Intel, Walmart Labs, Citi, JPMC, Bank of America, Deloitte, and many more-with offers often ranging from $95,000 to $154,000 depending on role and skill depth. The focus is: build job-ready ability + interview confidence + hiring alignment so you can close the deal when opportunities appear. Why do people fail interviews after doing CS or online courses? Typically it's one (or several) of these gaps: Weak fundamentals (you know syntax, but not the "why") Poor project explanation (you built something, but can't defend design decisions) Shallow system understanding (APIs, DB design, CI/CD, cloud basics are fuzzy) No repetition under pressure (whiteboard/online assessments feel unfamiliar) Lack of structured mock interview practice SynergisticIT addresses these gaps by treating interviews as a skill you work on-like a sport. You don't just watch videos; you practice real drills. We emphasize on real interview patterns: coding questions, debugging, project walkthroughs, behavioral responses, and the ability to speak clearly about your work. What kinds of roles are being targeted? Instead of chasing every shiny trend, JOPP focuses on roles employers repeatedly hire for: Java full stack, software programming, Python/Java development, DevOps, data analyst, data engineer, data scientist, and ML/AI engineer. In other words, the program builds candidates across Java / Full Stack / DevOps and Data Analytics / Data Engineering / Data Science / Machine Learning / AI-because companies hire teams, not single-skill candidates. Ideal candidates who benefit from interview-focused help This includes: recent grads with limited experience, laid-off professionals re-entering the market, career changers, candidates with gaps, experienced applicants who can't convert interviews, and F1/OPT candidates needing a stable path. SynergisticIT also supports candidates with guidance around STEM extension and offers process support relating to H-1B/Green Card filing once employed (as applicable through employers and standard immigration processes). Please read our blogs If you're already getting interviews, you're closer than you think. Now it's time to train like you mean it-and turn interviews into offers. If you want to explore, here are the key links: please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates Technical Skills or Experience? Which one is important to get a Job? Please check below links: Event videos (OCW, JavaOne, Gartner): USA Today feature Discover JOPP: Contact: Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req. Resume submissions may be shared with our JOPP team database also. Please unsubscribe if contacted or if you don't want to be contacted please don't submit your resume.

Sr. Distinguished Machine Learning Engineer (Remote-Eligible) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent - along with our deep experience in machine learning - position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Consumer Engagement Platform organization at Capital One empowers rapid financial product innovation at scale and delivers developer joy, for all Capital One's consumer products and organizations, by providing well-managed, self-service, experimentation-driven, and personalized product development vehicles. Hyper Personalization org is building the intelligence and infrastructure that will enable Capital One to deliver truly individualized, real-time customer experiences at scale - turning every channel into a context-aware decisioning surface, from home feeds to marketing and servicing messages. The org's mission is to move Capital One to deliver always-on, cohort-of-one personalization, powered by resilient data foundations, production-grade ML and GenAI systems, and low-latency application platforms that make it easy for teams across the company to experiment, innovate, and serve the right experience to every customer at the right moment. What you'll do in the role: Define and drive technical strategy and roadmap for our Personalization Platform that powers real-time, personalized product experiences and multi-channel targeted user messaging across all Capital One products and services. Partner cross-functionally with Product, Data science, Cloud infrastructure, and Machine learning platform teams to align on and co-develop the advanced recommendation systems and algorithms serving our Capital One users. Develop and maintain a flexible, scalable rules engine to enable business-driven personalization logic, allowing dynamic configuration of user segmentation, targeting rules, and real-time decisioning while integrating seamlessly with ML-driven recommendations. Design, build and maintain robust ML infrastructure and pipelines to support end-to-end workflows including feature extraction, model training, testing, guardrails, model evaluation, deployment, and both real-time and batch inference - ensuring high performance, scalability, and reliability. Architect low-latency, event-driven systems for enabling real-time dynamic personalization and decisioning based on streaming data, user behavior, and contextual signals. Drive the evolution of MLOps practices by building automated metrics-backed deployment workflows, integration validation and testing systems, and scalable monitoring & observability. Invent and introduce state-of-the-art LLM optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems. Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. Provide organizational technical leadership to influence architecture, engineering standards, cross-team strategies, mentoring engineers and driving organization wide platform innovation. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Capital One is open to hiring a Remote Employee for this opportunity Basic Qualifications: Bachelor's degree At least 10 years of experience designing and building data-intensive solutions using distributed computing At least 7 years of experience programming in C, C++, Python, or Scala At least 4 years of experience with the full ML development lifecycle using modern technology in a business critical setting Preferred Qualifications: 8+ years of experience deploying scalable, responsible AI solutions on major cloud platforms (AWS, GCP, Azure); Master's or PhD in Computer Science or a relevant technical field. 5+ years of proven expertise in designing, implementing and scaling personalization platform and recommendation systems serving one or more areas of Feed Personalization/Ads Ranking/Targeted Marketing Messaging. 5+ years of strong proficiency in Python, Java, C++, or Golang; hands-on experience with ML frameworks (PyTorch, TensorFlow) and orchestration tools (Databricks, Airflow, Kubeflow). 5+ years of experience developing and applying state-of-the-art techniques for optimizing training and inference systems to improve hardware utilization, latency, throughput, and cost. 5+ years of deep expertise in cloud-native engineering, containerization (Docker, Kubernetes), and automated CI/CD deployment. Passion for staying on top of the latest AI research and AI systems, and judiciously apply novel techniques in production Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Proven leadership in driving platform strategy, fostering cross-functional collaboration, and influencing technical direction across the company. 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. Remote (Regardless of Location): $286,200 - $326,700 for Sr Distinguished Machine Learning Engineer McLean, VA: $314,800 - $359,300 for Sr Distinguished 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 ; 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 1- or via email at . 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 . click apply for full job details

Genesis10 is currently seeking a Data Engineer for a Hybrid position with a Global Financial Institution located in Charlotte, NC. This is a 12+ month contract opportunity. This role will be part of a Data Strategy team leading a major Digital Transformation initiative. The ideal candidate will support the design and development of a strategic data platform on the Azure Cloud Platform, focusing on establishing a reference data system for securities and pricing data. This position requires a full stack developer with extensive experience in Python/PySpark and Azure cloud services. Responsibilities: Actively participate in the development of a strategic data platform in close coordination with the client team Contribute to the establishment of a reference data system for securities and pricing data, later expanding to other data domains Follow internal development standards to contribute to the overall agenda of the Data Strategy team Implement solutions on the Azure Cloud Platform as part of a broker-dealer and swap-dealer entity Requirements: 10+ years of relevant experience as a full stack Python/PySpark developer Proven experience as a Data Engineer with experience in Azure cloud Experience implementing solutions using Azure cloud services such as Azure Data Factory, Azure Lake Gen 2, Azure Databases, Azure Data Fabric, API Gateway management, and Azure Functions Well versed with Azure Databricks Strong SQL skills with RDBMS or NoSQL databases Experience with developing APIs using FastAPI or similar frameworks in Python Familiarity with the DevOps lifecycle (git, Jenkins, etc.) and CI/CD processes Good understanding of ETL/ELT processes Desired skills: Experience in the financial services industry, financial instruments, asset classes, and market data are a plus Pay range: up to $78.18 per hour Only candidates available and ready to work directly as Genesis10 employees will be considered for this position. If you have the described qualifications and are interested in this exciting opportunity, please apply! Ranked a Top Staffing Firm in the U.S. by Staffing Industry Analysts for six consecutive years, Genesis10 puts thousands of consultants and employees to work across the United States every year in contract, contract-for-hire, and permanent placement roles. With more than 300 active clients, Genesis10 provides access to many of the Fortune 100 firms and a variety of mid-market organizations across the full spectrum of industry verticals. For contract roles, Genesis10 offers the benefits listed below. If this is a perm-placement opportunity, our recruiter can talk you through the unique benefits offered for that particular client. Benefits of Working with Genesis10: Access to hundreds of clients, most who have been working with Genesis10 for 5-20+ years. The opportunity to have a career-home in Genesis10; many of our consultants have been working exclusively with Genesis10 for years. Access to an experienced, caring recruiting team (more than 7 years of experience, on average.) Behavioral Health Platform Medical, Dental, Vision Health Savings Account Voluntary Hospital Indemnity (Critical Illness & Accident) Voluntary Term Life Insurance 401K Sick Pay (for applicable states/municipalities) Commuter Benefits (Dallas, NYC, SF, and Illinois) For multiple years running, Genesis10 has been recognized as a Top Staffing Firm in the U.S., as a Best Company for Work-Life Balance, as a Best Company for Career Growth, for Diversity, and for Leadership, amongst others. To learn more and to view all our available career opportunities, please visit us at our website. Genesis10 is an Equal Opportunity Employer. Candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Overview The Mission, Should You Choose to Accept It: TeleWorld Solutions is not just another telecom company; we're architects of connection. We're on a hunt for a Telecom BI Consultant & Tableau Developer -a hybrid mind who sees the hidden patterns in the noise and transforms them into breathtaking, business-changing insights. You will be our " Tool Engineer ," the master craftsman who doesn't just build reports, but forges intuitive, powerful data experiences. You'll partner with Network Ops, Marketing, Sales, and Finance to turn complex telecom data (we're talking CDRs, network performance, customer lifecycle, churn signals) into a strategic asset that's as beautiful as it is actionable. If you dream in data layers and speak the languages of both SQL and stakeholder, this is your stage. Who We Are: The Architects of What Connects Us You find the signal in the noise of data. We build the signal itself. We are TeleWorld Solutions , and we are the strategic backbone for the world's most ambitious wireless networks. We're not just consultants; we're the engineers, designers, and problem-solvers that operators, OEMs, and tower giants trust to bring their boldest visions to life. Our playground is the invisible architecture of connection-from vast macro networks to the hyper-precise world of DAS, Small Cells, and Wi-Fi. With a legacy of hundreds of thousands of successful implementations , we help our clients navigate the entire lifecycle of their network: from the first line of a design to the final optimization, and every critical decision about performance and value in between. Why does this matter to you The complex data you will master-the CDRs, network KPIs, and customer signals-flows from the very infrastructure we design and optimize. You won't just be analyzing abstract numbers; you'll be interpreting the digital heartbeat of networks that we helped bring to life. Your insights will directly influence the next generation of those networks. Here, your work as a data storyteller is powered by deep, tangible engineering excellence. You provide the "what" and "why." We provide the "how" on a global scale. Welcome to the engine room of connection. Let's build what's next Responsibilities Responsibilities: Become Our Insight Conductor: Design and deploy actionable, decision-driving BI dashboards that illuminate paths to optimize our internal processes, enhance our service delivery, and elevate our hardware and software offerings. Master the Network's Pulse : Own the creation of our Wireless Network RAN KPI dashboards . Build the intuitive, real-time lens through which our engineering teams monitor, measure, and optimize the performance of the very networks we design. Automate Intelligence: Unleash the power of Tableau, Alteryx, SQL, and Python/R to automate complex analysis, transforming raw data streams into a wellspring of proactive, business-ready insights-freeing our minds from manual reports. Forge the Self-Service Arsenal: Be the architect of our interactive Tableau analytics ecosystem . Design dashboards so intuitive and powerful that you empower the entire organization to answer their own questions, fostering a true data-driven culture. Showcase Technical Artistry: Wield the full spectrum of Tableau's advanced toolkit -from LOD calculations and parameters to forecasting, clustering, and geospatial mapping-to craft executive-level dashboards that are both visually stunning and analytically profound. Map the Story: Create compelling map visualizations that tell the geographical story of our network performance and customer impact, turning abstract data into a spatial narrative. Champion Automated Intelligence: Develop and promote automation through scheduled reports and intelligent alerts, ensuring critical insights find their audience without delay. Engineer the Data Foundation: Write elegant , high-performance SQL queries and stored procedures to shape, blend, and prepare complex data from diverse sources, building the robust datasets that fuel all decision-making. Build the Data Pipeline: Design and optimize data pipelines using Delta Live Tables on Databricks , ensuring efficient, reliable, and scalable data movement to balance computational power with analytical agility. Be the Bridge: Partner directly with business teams across the company-from Network Ops to Finance-to translate their strategic needs into crisp technical requirements for reports, dashboards, and data products. Drive Agile Delivery: Embody agile methodologies to plan, manage, and deliver high-quality analytics products with transparency, adaptability, and speed. Own the Narrative: Track project status, manage deliverables, and provide crystal-clear, regular updates to stakeholders, ensuring everyone is aligned and informed. Showcase & Refine: Plan and lead engaging demos and product testing sessions, turning feedback into fuel for continuous improvement. Elevate the Team: Become our Tableau guru , training, mentoring, and supporting users across the company to amplify their data skills and maximize the value of our tools. Shape the Future: Support our ongoing technology evaluation and lead proof-of-concept projects, helping us stay at the bleeding edge of what's possible in data and analytics. Ready to build the intelligence layer for the networks that connect the world? Let's talk. Qualifications Your Arsenal of Expertise (What You Bring to the Forge): Non-Negotiable Credentials (Your Badges of Honor): Certification as a Tableau Desktop Specialist is your entry ticket. A Tableau Certified Data Analyst or Server Certified Associate title makes us lean in closer. A decade-plus (10+ years) of battlefield experience wielding Tableau in the corporate arena, crafting complex, mission-critical dashboards and visual narratives. Experience with Tableau Prep is a welcome addition to your toolkit. A minimum of 2 years hands-on with the power of AWS and Databricks -the cloud-scale engines for our data. At least 3 years of proven fluency in the languages of data manipulation: Spark SQL, SQL, and Python. Advanced SQL Mastery: The ability to write not just queries, but elegant, high-performance data symphonies and stored procedures is paramount. A deep, intuitive understanding of BI design and development principles -you know what makes an insight not just visible, but visceral. The "Pizazz" Factors (What Makes You Irresistible): 3+ years with Alteryx and an Alteryx Designer Expert certification? You speak the language of analytical workflow automation, and we're fluent. A mind for statistical concepts -you don't just show the "what," you intuit the "why." Experience with Agile and Scrum methodologies (certification is a shiny plus). You thrive in iterative, collaborative delivery. A telecommunications or wireless infrastructure background. You know the unique rhythm of network data, CDRs, and RAN KPIs. This isn't just data; it's the pulse of the connected world. A proven portfolio of end-to-end BI implementation and automation. You don't just build a dashboard; you own its lifecycle and impact. The mental fortitude to wrestle complex, high-volume, multi-dimensional data from disparate sources into submission, with a complete command of data quality, cleansing, and transformation. The innate curiosity to find the story -to analyze data, spot the patterns, and extract the golden, actionable business insight others miss. The Essential Human Code (How You Operate): A problem-solver's heart and an analyst's mind. You have a demonstrated track record of researching complex challenges and forging elegant solutions. A master communicator and presenter who can translate technical brilliance into strategic clarity for any audience. A project leadership mentality with excellent people skills. You have a history of defining direction, mentoring colleagues, and elevating team efficiency. Unshakeable integrity and a collaborative spirit. You have a strong work ethic and excel in a team environment where we win together. Proficiency in the Microsoft Office suite -the classic tools of the trade, wielded with expertise. The Mission Environment (Real Talk on How We Operate): This role is for the driven, the resilient, and those who find energy in intellectual challenge. You will: Collaborate Intensely: Build and maintain critical relationships within and outside the company. Your interpersonal skills are as vital as your technical ones. Embrace the Digital Workspace: Operate a keyboard and monitor in an office environment for the majority of your work. Answer the Call When Needed: Periodically work beyond a standard schedule to meet mission-critical deadlines and project cycles. Thrive Under Healthy Pressure: Perform in an environment with time-sensitive challenges, intellectual rigor, and the dynamic stresses of project ownership and high-stakes data. Travel Occasionally (approx. 20% ) to connect with customers, showcase work, or gather insights on the ground. Operate with Autonomy and Trust: Work under minimal supervision with high responsibility. Your decisions will directly impact outcomes, and you will be the guardian of confidential data central to our competitive edge. Ready to deploy your expertise on projects that matter? Let's build the intelligence layer for the networks that connect the world. Join Our Veteran-Friendly Team: Are you a veteran or a veteran spouse with expertise in telecommunications? Join our team at TeleWorld Solutions, where we value your military experience and provide great benefits. We invite all veterans and veteran spouses to bring their skills and dedication to our team. TeleWorld Solutions is committed to employing a diverse workforce and provides Equal Employment Opportunity for all individuals regardless of race, color, religion, gender, age, national origin, marital status, sexual orientation, gender identity, status as a protected veteran . click apply for full job details

Credit Acceptance is proud to be an award-winning company recognized both locally and nationally across multiple workplace categories. Our world-class culture is shaped by dedicated team members who are driven to succeed as professionals individually and together as a team. Backed by a strong product, exceptional people, and a stable financial foundation, we've grown into a leading provider of used and new car financing across the country. Our Engineering and Analytics Team Members utilize the latest technology to develop, monitor, and maintain complex practices that help optimize our success. Our Team Members value being challenged, are encouraged to express their ideas, and have the flexibility to enjoy work life balance. We build intrinsic value by partnering with all functions of our business to support their success and make strategic business decisions. We focus on professional development and continuous improvement while enjoying a casual work environment and Great Place to Work culture! As a Business Intelligence Manager II, you will lead a small to medium-sized team focused on delivering data-driven insights and reporting solutions. Your team will be responsible for building data literacy and advocating for data needs upstream and early in the process. There will be a focus on enabling Self Service via semantic layers, using a product happy path approach to ensure data driven decision making and actionable insights. You and your team will act as strategic partners to the business, while taking ownership of enterprise dashboards/reports to drive and champion success. Outcomes and Activities: This position will work from home; occasional planned travel to an assigned Southfield, Michigan office location may be required. However, this position is permitted to work at a Southfield, Michigan office location if requested by the team member. Lead the development and maintenance of BI dashboards, reports, and data models to support business operations and strategy. Collaborate with PMO, Product, Stakeholders, and Engineering to align data initiatives in the department with business goals. Drive the adoption of AI and advanced analytics to enhance business intelligence capabilities, improve efficiency, and generate actionable insights at scale. Maintain a prioritized backlog of tasks and ensure clarity and cleanliness of data pipelines and reporting artifacts. Partner with infrastructure and data engineering teams to ensure optimal performance of BI tools and platforms. Demonstrate deep understanding of data sources, business processes, and reporting requirements; propose effective solutions. Analyze risks and impacts of BI changes on business operations and recommend improvements. Apply and advocate for team standards in data documentation, visualization, and testing. Communicate effectively across technical and non-technical audiences, recognizing upstream and downstream data impacts. Continuously improve BI processes and mentor team members to enhance data literacy and analytical capabilities. Monitor BI system health and proactively address issues to ensure high availability and reliability. Promote a culture of data-driven decision-making and continuous learning within the team. Competencies: The following items detail how you will be successful in this role. Customer Empathy: Customer Empathy is the ability to understand the perspectives, pain points, and experiences of customers. It involves actively putting oneself in the customer's shoes, comprehending their needs and challenges, and using that understanding to provide a better, more customer-centric experience. Engineering Excellence: Engineering Excellence is about bringing great craftsmanship and thought leadership to deliver an outstanding product that delights customers and solves for the business. This involves the pursuit and achievement of high standards, best practices, innovation, and superior solutions. One Team: A One Team mindset refers to a collaborative approach across the organization, where individuals work together seamlessly, without boundaries, as a single, cohesive team. Shared goals, open communication and mutual support create a sense of collective purpose. This enables teams to navigate challenges and pursue shared objectives more effectively. Owner's Mindset: Owner's Mindset involves adopting a set of behaviors that reflect a sense of responsibility, accountability, strategic thinking, and a proactive approach to managing your domain. As an owner, you understand the business and your domain(s) deeply and solve for the right outcome for the domain(s) and the business. Requirements Bachelor's degree in Information Systems, Data Analytics, or related field; or equivalent experience. 5 - 8 years managing BI or analytics teams. Strong communication skills, both oral and written. Proven experience using BI solutions to improve business outcomes. Experience managing requirements gathering, prototyping, user acceptance testing, and deployment of BI projects. Basic understanding of data warehousing and web technologies. Preferred: Experience with BI lifecycle and governance frameworks. Proficient in Power BI with expertise in developing dashboards, reports, and data visualizations that drive business decisions. Proficient in Databricks for data engineering, analytics, and scalable data processing. Project management experience: PMP certification is a plus. Experience writing SQL queries and analyzing data patterns. Familiarity with cloud-based BI platforms and data services. Ability to manage multiple priorities and communicate complex data concepts clearly. Demonstrated ability to lead with insight and make strategic recommendations. Self-driven, customer-focused, and able to work independently with moderate supervision. Strong analytical skills and ability to work with abstract concepts. Target Compensation: A competitive base salary range from $129,018 - $189,226. This position is eligible for an annual variable bonus of cash and equity, between 15-30%. Bonus amounts are based on individual performance. Final compensation within the range is influenced by many factors including role-specific skills, depth and experience level, industry background, relevant education and certifications. Candidates who reside in the following major metropolitan areas may be eligible for a premium on top of the posted range based on their specific zone: San Francisco, Seattle, Boston, New York City, Los Angeles and San Diego. INDENGLP Benefits Excellent benefits package that includes 401(K) match, adoption assistance, parental leave, tuition reimbursement, comprehensive medical/ dental/vision and many nonstandard benefits that make us a Great Place to Work Our Company Values: To be successful in this role, Team Members need to be: Positive by maintaining resiliency and focusing on solutions Respectful by collaborating and actively listening Insightful by cultivating innovation, accumulating business and role specific knowledge, demonstrating self-awareness and making quality decisions Direct by effectively communicating and conveying courage Earnest by taking accountability, applying feedback and effectively planning and priority setting To create an environment where people do their best work, we focus on the dimensions of Organizational Health. All leaders must: Identify the Right People by recognizing top talent Set Clear Expectations by managing change and directing others Train team members and focus on developing talent Performance Manage by ensuring accountability and driving results Create the Right Environment by establishing trust and managing conflict Maintain the Right Number of team members needed to build an effective team Expectations: Remain compliant with our policies processes and legal guidelines All other duties as assigned Attendance as required by department Advice! We understand that your career search may look different than others. Our hiring team wants to make sure that this would be a fit not just for us, but for you long term. If you are actively looking or starting to explore new opportunities, send us your application! P.S. We have great details around our stats, success, history and more. We're proud of our culture and are happy to share why - let's talk! Required degrees must have been earned at institutions of Higher Education which are accredited by the Council for Higher Education Accreditation or equivalent. Credit Acceptance is dedicated to providing a safe and inclusive working environment for all. As part of our Culture of Compliance, we are proud to be an Equal Opportunity Employer and value our culturally diverse workforce. All qualified applicants will receive consideration for employment regardless of the person's age, race, color, religion, sex, gender, sexual orientation, gender identity, national origin, veteran or disability status, criminal history, or any other legally protected characteristic. California Residents: Please click here for the California Consumer Privacy Act (CCPA) notice regarding the personal information Credit Acceptance may collect from you. Play the video below to learn more about our Company culture.

Job Description Title: Sr. Product Security Engineer Location: Remote Ekman Associates is a management consulting firm that specializes in developing business, digital, and technology strategy, delivering solutions, and addressing human resource demands. Summary: The Application and Product Security team is looking for an Sr. Product Security Engineer to lead the protection and defense of digital applications and product ecosystem with an emphasis on securing artificial technology (AI). This role will focus on detecting, mitigating, and responding to AI-related security threats, ensuring that applications and services remain resilient against AI-cyber threats. Responsibilities: Help the team establish, lead, and execute multi-year roadmaps to mature AI security, drawing upon cross-functional partnerships to deliver security posture reviews on a repeatable basis and review new AI systems as they're developed. Conduct application and product security evaluations and lead AI security assessments in a cross-functional environment, driving finding remediations; Secure AI Development Lifecycle: Procure and/or build technical solutions to embed automated security checks into the AI SDLC and ML-Ops; AI Threat Modeling: Threat model complex Agentic and AI systems and design security requirements collaboratively with developers, architects, and business stakeholders; Code Analysis: Review code for security bugs in the context of AI-driven systems; GRC: Provide leadership for AI Security policies and standards in collaboration with technology risk; AI/Agent SME: Provide AI/Agent subject matter expertise for AI Incidents and Security Reviews, and help develop incident response playbooks for AI-related security incidents; and, Assist in the formation of an AI Center of Excellence (ACE). Qualifications: 10+ years experience in product security, application security, and/or DevSecOps; You have strong knowledge of security of safety risks of LLMs and AI Agents; You have 5+ Years of experience automating security checks, including SAST, SCA, and DAST, directly into CI/CD pipelines; Extensive experience with STRIDE or other threat modeling frameworks; You have knowledge and experience with technologies including K8s, Containers, CI/CD, and CSPs Familiarity with function and purpose of key AI platform components such as AI gateways (Kong, Databricks Mosaic AI Gateway, custom API orchestration), Model Orchestration (Examples LangChain, LlamaIndex, etc.). Qualified Candidates Only : If you wish to learn more about this opportunity and additional qualifications/responsibilities, please submit your resume. To learn more about Ekman Associates, Inc. please visit our website at

Senior Data Engineer Pay from $96,000 to $148,000 per year 2200 S. Lakeside Drive, Waukegan, IL 60085 Fuel the future of data engineering and analytics for our growing North American company! As a Senior Data Engineer at Uline, you'll play a pivotal role in constructing and maintaining our new, cutting-edge data collection systems and analytics platform. Careers Packed with Potential. Backed by 45+ years of success, Uline offers opportunities to grow your career with stability you can count on. Position Responsibilities Partner with business users to design and build BI and data warehouse solutions. Engage with project leads, analysts and business users to implement and test data warehouse applications. Build complex data engineering processes to support business analytics and reporting. Perform unit, performance and regression testing on ETL mappings. Follow coding standards, review code and enhance quality practices. Oversee production deployments and coordinate with other teams to execute. Minimum Requirements Bachelor's degree in information technology or related field. 8+ years in data engineering. 5+ years of hands-on experience developing ETL using Informatica PowerCenter. Proven experience writing complex T-SQL and DB performance tuning. Strong troubleshooting skills to resolve data issues. Knowledge of SSIS, Python, Azure or Databricks is a plus. Uline does not participate in the H1-B lottery. Benefits Complete health insurance coverage and 401(k) with 6% employer match that starts day one! Multiple bonus programs. Paid holidays and generous paid time off. Tuition Assistance Program that covers professional continuing education. Employee Perks Café featuring affordable daily meal options from local restaurants. On-site fitness center and beautifully maintained walking paths. Best-in-class, clean, modern facilities. About Uline Uline, a family-owned company, is North America's leading distributor of shipping, industrial, and packaging materials with over 10,000 employees across 15 locations. Uline is a drug-free workplace. All new hires must complete a pre-employment hair follicle drug screening. All positions are on-site. EEO/AA Employer/Vet/Disabled () Our employees make the difference and we are committed to offering exceptional benefits and perks! Explore Uline.jobs to learn more!

W2 job to a staffing company Top skills: -Data Modeling -Machine Learning -Artificial Intelligence Schedule: Fully onsite KEY RESPONSIBILITES/REQUIREMENTS: As a Performance Assurance Machine Learning Engineer, you will work under the coaching of Senior and Lead engineers of the Data Science & Tools Team to analyze Samsung's deployed network elements. You will utilize skills to query databases to extract data, use skills in Python or R to analyze data such that you can identify 4G/5G network infrastructure and performance issues and build prediction models, ad-hoc tools, and dashboards to communicate your findings with your team and peers Specific Responsibilities include: • 7+ years of professional experience in Data Science, Data Analytics, and/or Data Engineering with abilities to work with large datasets using demonstrated statistical, predictive modeling and machine learning methods. • 3-5 years demonstrated experience on designing, deploying, and maintaining large scale ML systems in a production environment. • Work closely with the internal and external stakeholders to explore relationships of 4G/5G KPI measurements and targets (KPI, KQI) for 4G/5G RAN product acceptance and performance monitoring. • Collaborate with RF engineers, network engineers, data scientists, platform engineers, product teams, and operations stakeholders to ensure ML outputs are technically accurate, interpretable, and operationally useful. • Utilize A/B testing, statistical, and machine learning models to build robust mechanism for product & feature performance analysis, for evaluation of new product & SW releases and 3rd party product evaluation. • Aid in product & feature performance analysis, evaluation of new product & SW releases and 3rd party product evaluation using analytics/data science to drive intelligent business decisions. • Work with the team to proactively define and interpret data/metrics/KPIs, analyze results, and provide insights to determine operational impact, trends and opportunities for all the 4G/5G RAN products. • Prototyping use cases, implementing automations, and developing tools to support and augment manual or repetitive efforts. • Communicate key findings to stakeholders using visualizations and/or other suitable methods. • Excellent verbal and written communication skills to communicate technical and complex concepts in an easy-to-follow progression. • Able to compile analysis output and findings into a succinct story for technical and non-technical audiences. • Adapt to changes in a dynamic business environment and, support management initiatives. Background & Competencies Required: • Graduate Degree in Computer Science, Statistics, Data Science or a related Data Engineering with 7+ years of professional experience is preferred. • Programming experience: Python & Spark (preferred) and/or other languages such as R , SQL, Hive, Spark, Javascript, Visual Basic, C++, shell scripting in a linux or IDE environment such as VSCODE, Jupyter, RStudio, etc. • Cloud Development Experience - AWS/Azure/Google utilizing cloud providers such as Databricks or Snowflake • Machine learning expertise: GLM Regression (Linear, Logistic, Multinomial), Decision Tree (including Boosted Trees, Random Forest), kMeans/Hierarchical Clustering, Principle Component Analysis, t-SNE, Neural Networks such as transformers and auto-encoders, Bayesian Regression, and Times Series Modeling. • Experience using data with high-volume (1TB+) & high-dimensionality (500+ variables per schema), especially within a big data framework (HaDoop, Citus, MongoDB, etc). • Experience performing Data Wrangling, Exploratory Data Analysis (EDA), Correlation Analysis, Statistical Methodologies (distributions, hypothesis testing, confidence intervals) & Significance Testing, A/B Testing. • Experience with MLOPS concepts and environments such as MLFLOW a plus. • Experience with basic linux administration and software development in a linux environment. • Experience in hardware resource management and configuration - CUDA, Docker, KubeFlow, Kubernetes, etc a plus • Must possess qualities of being curious and eagerness to learn . • Experience with data visualization and ability to quickly grasp statistical methods, and methodologies. Maintain a strong command of current data analytics technology trends, including emerging paradigms and practices. • Demonstrated research and problem solving skills via prior work experience. Experience with wireless infrastructure provider and/or operator is desired. • Technical knowledge of any wireless technology & procedures including CDMA/EVDO/LTE/Volte and/or 5G a plus. • Experience with evaluating service performance trends and proactively defining RAN system performance related issues a plus. • Experience of software version control, coding best practices, and use of development management software such as github, bitbucket, etc is desired. • Must have a strong work ethic, integrity and work extremely well independently or in a team environment. Physical/Mental Demands and Working Conditions: The position requires the ability to perform the essential duties and responsibilities in the following environment: • Excellent interpersonal and communication skills. Must be skilled in developing and maintaining good working relationships with all appropriate levels within and outside the company. • Operate a computer keyboard and view a video display terminal more than 75% of work time in an office work environment • Frequently works additional hours beyond normal schedule. • Performs work under time schedules and stresses which are normally periodic or cyclical and include time sensitive job stress, fatigue, unpaid over-time, intellectual challenge, constant technical data feedback, language barriers, and project management stress. • Machines, tools, equipment, and work aids include PC's, printers, etc. most often associated with office work area equipment.

Position Summary We are seeking an experienced Azure Cloud Architect to lead the design, governance, and implementation of enterprise cloud architecture across a hybrid and multi-cloud environment. This role is responsible for developing cloud architecture frameworks, standards, governance models, and best practices while partnering with business stakeholders and technology teams to deliver scalable, secure, resilient, and cost-effective cloud solutions. The ideal candidate will possess deep expertise in Microsoft Azure, strong hybrid infrastructure knowledge, and hands-on experience with Infrastructure as Code (IaC), cloud networking, security, and cloud migration strategies. The architect will serve as a trusted advisor, guiding engineering teams and influencing cloud strategy across the organization. Key Responsibilities Cloud Architecture & Strategy Design enterprise-grade Azure cloud architectures that align with business objectives, security policies, and compliance requirements. Develop cloud architecture standards, governance frameworks, reference architectures, and implementation guidelines. Assess existing applications and infrastructure for cloud readiness and create migration and modernization roadmaps. Design scalable, highly available, resilient, and cost-optimized cloud solutions. Create and maintain architecture diagrams and technical documentation using Microsoft Visio. Azure Platform & Cloud Services Architect solutions utilizing Azure compute services including Virtual Machines, Virtual Machine Scale Sets, and Azure Batch. Design storage solutions leveraging Azure Storage Accounts, Blob Storage, Azure Files, Queues, Tables, and Azure Data Lake. Architect data platforms using Azure SQL Database, Managed Instance, Cosmos DB, Synapse Analytics, Microsoft Fabric, Azure Data Factory, Databricks, and Event Hubs. Design serverless and application hosting solutions using Azure Functions, App Services, Logic Apps, and App Service Environment (ASE). Design container-based solutions using AKS, Kubernetes, Docker, and OpenShift. Infrastructure as Code & Automation Develop and implement Infrastructure as Code (IaC) solutions using Terraform, ARM Templates, or Pulumi. Design and support CI/CD pipelines using GitHub Actions, GitLab CI/CD, Jenkins, or similar automation platforms. Automate infrastructure provisioning and configuration management using Ansible, Chef, or Puppet. Drive cloud automation initiatives to improve operational efficiency and deployment consistency. Cloud Security & Governance Implement Azure security best practices including IAM, RBAC, NSGs, ASGs, WAF, Managed Identities, Service Principals, Azure Key Vault, Azure Defender for Cloud, and Azure Advisor. Design secure cloud architectures aligned with Zero Trust principles. Ensure compliance with industry frameworks including CIS, NIST, ISO 27001, and organizational security policies. Collaborate with cybersecurity teams to enhance cloud security posture and governance. Networking & Hybrid Cloud Design and implement enterprise networking solutions including Virtual Networks, Hub-and-Spoke architecture, VNet Peering, Application Gateway, Load Balancers, Traffic Manager, VPN Gateway, and ExpressRoute. Design hybrid cloud connectivity integrating on-premises infrastructure with Azure services. Optimize application delivery using Azure Front Door, Cloudflare, or Akamai CDN solutions. Support multi-cloud interoperability with Azure, AWS, GCP, and Oracle Cloud Infrastructure (OCI). Performance Optimization & FinOps Optimize cloud resources for performance, scalability, and cost efficiency. Implement monitoring and observability using Azure Monitor, Azure Resource Health, Network Watcher, and SolarWinds. Develop disaster recovery and backup strategies aligned with business continuity objectives and RTO/RPO requirements. Apply FinOps principles to improve cloud cost visibility, governance, and optimization. Troubleshooting & Operational Support Provide technical leadership for complex cloud infrastructure issues. Perform root cause analysis using Azure-native monitoring and diagnostic tools. Guide engineering teams on architecture best practices and technical problem resolution. Collaboration & Leadership Partner with Infrastructure, Network, DevOps, Cybersecurity, Finance, Procurement, and Application teams to define cloud strategies. Translate business requirements into scalable technical architectures. Lead architecture reviews, technical discussions, and cloud governance initiatives. Mentor cloud engineers and promote adoption of cloud best practices across the organization. Required Qualifications Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field (or equivalent experience). 8+ years of overall IT infrastructure experience. 6 10 years of hands-on Microsoft Azure experience. Strong expertise designing enterprise Azure cloud architectures. Experience with hybrid cloud and on-premises infrastructure integration. Hands-on experience with Azure networking, security, governance, and automation. Experience implementing Infrastructure as Code using Terraform, ARM Templates, or Pulumi. Strong scripting skills using Azure PowerShell and Azure CLI. Experience with Kubernetes, Docker, and Azure Kubernetes Service (AKS). Knowledge of disaster recovery, high availability, backup strategies, and business continuity planning. Excellent communication, documentation, and stakeholder management skills. Current Microsoft Certified: Azure Solutions Architect Expert (AZ-305) certification (strongly preferred).

Overview TeleWorld Solutions is seeking a Data Analyst/Data Scientist AI/ML Engineer to join our team! As a Data Analyst/Data Scientist AI/ML Engineer , you will work under the coaching of Senior and Lead engineers of the Data Science & Tools Team to analyze Samsung's deployed network elements. You will utilize skills to query databases to extract data, use skills in Python or R to analyze data such that you can identify 4G/5G network infrastructure and performance issues and build prediction models, ad-hoc tools, and dashboards to communicate your findings with your team and peers. TeleWorld Solutions is a strategic wireless engineering and consulting firm offering network operators, OEMs and tower companies' turnkey design, optimization, network dimensioning, and deployment services. With the experience of hundreds of thousands of successful implementations, including macro, DAS, Small Cells, and Wi-Fi, the world's leading network operators and OEMs trust our knowledge and experience to plan, perform, troubleshoot, and implement an array of technologies and solutions. TeleWorld helps customers plan, design, manage, measure, and monetize opportunities throughout the network lifecycle and across every element of their network. Come join our Veteran-Friendly Team. The Company with Great Benefits and certified as "A Great Place to Work". Responsibilities • 7+ years of professional experience in Data Science, Data Analytics, and/or Data Engineering with abilities to work with large datasets using demonstrated statistical, predictive modeling and machine learning methods.• 3-5 years demonstrated experience on designing, deploying, and maintaining large scale ML systems in a production environment.• Work closely with the internal and external stakeholders to explore relationships of 4G/5G KPI measurements and targets (KPI, KQI) for 4G/5G RAN product acceptance and performance monitoring.• Collaborate with RF engineers, network engineers, data scientists, platform engineers, product teams, and operations stakeholders to ensure ML outputs are technically accurate, interpretable, and operationally useful.• Utilize A/B testing, statistical, and machine learning models to build robust mechanism for product & feature performance analysis, for evaluation of new product & SW releases and 3rd party product evaluation.• Aid in product & feature performance analysis, evaluation of new product & SW releases and 3rd party product evaluation using analytics/data science to drive intelligent business decisions.• Work with the team to proactively define and interpret data/metrics/KPIs, analyze results, and provide insights to determine operational impact, trends and opportunities for all the 4G/5G RAN products.• Prototyping use cases, implementing automations, and developing tools to support and augment manual or repetitive efforts.• Communicate key findings to stakeholders using visualizations and/or other suitable methods.• Excellent verbal and written communication skills to communicate technical and complex concepts in an easy-to-follow progression.• Able to compile analysis output and findings into a succinct story for technical and non-technical audiences.• Adapt to changes in a dynamic business environment and, support management initiatives. Qualifications • Graduate Degree in Computer Science, Statistics, Data Science or a related Data Engineering with 7+ years of professional experience is preferred.• Programming experience: Python & Spark (preferred) and/or other languages such as R , SQL, Hive, Spark, Javascript, Visual Basic, C++, shell scripting in a linux or IDE environment such as VSCODE, Jupyter, RStudio, etc.• Cloud Development Experience - AWS/Azure/Google utilizing cloud providers such as Databricks or Snowflake• Machine learning expertise: GLM Regression (Linear, Logistic, Multinomial), Decision Tree (including Boosted Trees, Random Forest), kMeans/Hierarchical Clustering, Principle Component Analysis, t-SNE, Neural Networks such as transformers and auto-encoders, Bayesian Regression, and Times Series Modeling.• Experience using data with high-volume (1TB+) & high-dimensionality (500+ variables per schema), especially within a big data framework (HaDoop, Citus, MongoDB, etc).• Experience performing Data Wrangling, Exploratory Data Analysis (EDA), Correlation Analysis, Statistical Methodologies (distributions, hypothesis testing, confidence intervals) & Significance Testing, A/B Testing.• Experience with MLOPS concepts and environments such as MLFLOW a plus.• Experience with basic linux administration and software development in a linux environment.• Experience in hardware resource management and configuration - CUDA, Docker, KubeFlow, Kubernetes, etc a plus• Must possess qualities of being curious and eagerness to learn .• Experience with data visualization and ability to quickly grasp statistical methods, and methodologies. Maintain a strong command of current data analytics technology trends, including emerging paradigms and practices.• Demonstrated research and problem solving skills via prior work experience. Experience with wireless infrastructure provider and/or operator is desired.• Technical knowledge of any wireless technology & procedures including CDMA/EVDO/LTE/Volte and/or 5G a plus.• Experience with evaluating service performance trends and proactively defining RAN system performance related issues a plus.• Experience of software version control, coding best practices, and use of development management software such as github, bitbucket, etc is desired.• Must have a strong work ethic, integrity and work extremely well independently or in a team environment. Join Our Veteran-Friendly Team: Are you a veteran or a veteran spouse with expertise in telecommunications? Join our team at TeleWorld Solutions, where we value your military experience and provide great benefits. We invite all veterans and veteran spouses to bring their skills and dedication to our team. TeleWorld Solutions is committed to employing a diverse workforce and provides Equal Employment Opportunity for all individuals regardless of race, color, religion, gender, age, national origin, marital status, sexual orientation, gender identity, status as a protected veteran, genetic information, status as a qualified individual with a disability, or any other characteristic protected by law.

Job Title: Sr. Azure Databricks Data Engineer Location: Fort Worth, TX 76155 (Hybrid) Durations: 6-12+ Months with possible extension and conversions. Job Overview: We are seeking a Senior Azure Databricks Data Engineer to support Airline Crew Operations Data Analytics projects. The selected candidate will design, develop, test, and maintain cloud-based ETL pipelines using Azure Data Factory, Databricks, PySpark, and Python.The ideal candidate is a self-driven problem solver who can work independently, handle complex data requirements, and deliver reliable data solutions in an Agile environment. Required: 7+ years of overall experience in data engineering, software development, or a related field. 5+ years of experience working in an Agile development environment. 3-5 years of hands-on experience with Databricks, PySpark, and Python. At least 3 years of experience with Microsoft Azure and Azure Data Factory. 3-5 years of experience with data validation, data-quality testing, and reconciliation. Strong experience designing and supporting cloud-based ETL pipelines. Ability to analyze data issues and independently develop practical solutions. Preferred: Experience optimizing Databricks workloads and large-scale data pipelines. Familiarity with Azure-based data architecture and deployment processes. Responsibilities: Design, develop, and maintain ETL/data pipelines using Azure Data Factory and Databricks. Develop scalable data-processing solutions using PySpark and Python. Perform data validation, data-quality checks, reconciliation, and troubleshooting. Transform and prepare operational data for analytics and reporting. Identify and resolve pipeline failures, performance issues, and data inconsistencies. Work with business analysts, data engineers, and other stakeholders to understand data requirements. Participate in Agile ceremonies, including sprint planning, stand-ups, reviews, and retrospectives. Document pipeline designs, data mappings, validation rules, and technical processes. Support Airline Crew Operations data and analytics initiatives. Follow cloud engineering, security, testing, and deployment best practices. Pay Range: $60 - $65 The specific compensation for this position will be determined by several factors, including the scope, complexity, and location of the role, as well as the cost of labor in the market; the skills, education, training, credentials, and experience of the candidate; and other conditions of employment. Our full-time consultants have access to benefits, including medical, dental, vision, and 401K contributions, as well as PTO, sick leave, and other benefits mandated by applicable state or localities where you reside or work. If you receive a suspicious message, email, or phone call claiming to be from PTR Global do not respond or click on any links. Instead, contact us directly at +1 . To report any concerns, please email us at During the hiring process, we may use artificial intelligence (AI) tools to assist in evaluating information related to your application. These tools may help analyze job-related qualifications or assist recruiters in reviewing applications and interview responses. AI-generated information is one factor considered in our hiring process. Final employment decisions are made by qualified hiring personnel and are not based solely on AI-generated recommendations.

Data Engineer Contract 40 hours weekly, 12+ months This is a Flex position with the potential to convert to a regular full-time position based on business needs, individual performance, and organizational priorities. Job Mission Join a pioneering research organization developing next-generation lithography light source technologies. Our laser-produced plasma (LPP) system combine high-power lasers, advanced optics, plasma-based EUV generation, sensing, controls, and physics-based modeling to address some of the most complex challenges in semiconductor manufacturing. As Source Research continues to expand its use of data-driven engineering, machine learning, simulation and physics-based modeling, a scalable and well-governed data ecosystem has become essential. High-quality, accessible, and connected data enables faster technology development, deeper system understanding, more effective trade studies, and better-informed technology and roadmap decisions. In this role, you will help shape the data foundation that supports research and development activities across Source Research. Working closely with lab owners and experimental, modeling, and ML scientists, you will build and improve data pipelines, integrate diverse data sources, and enable reliable access to research data at scale. You will also help establish practical architecture standards and best practices that ensure our data platform remains scalable, secure, maintainable, and aligned with the broader data landscape. his role combines hands-on development with technical leadership in shaping the data foundation for Source Research. You will build, operate, and continuously improve data pipelines, integrating new data sources, improving reliability, and enabling scientists and engineers to use high-quality data at scale. You will also define practical architecture standards that keep the platform consistent, secure, future-ready, and aligned with clients data landscape. Work independently and collaboratively to deliver on objectives, whether exploring new data sources, building new capabilities, or characterizing existing system performance. Be willing to work extended hours and second shift as needed. Perform other duties as assigned or required Qualifications • Bachelor's or Master's degree in Computer Science, Statistics, Math, Data Science, or a related field. • 10+ years of relevant experience in data engineering, data architecture, or scientific/engineering data platforms. • Strong hands-on development experience in Python and modern data engineering tooling. • Proven experience building and operating scalable big data pipelines, analytics platforms, and data products that support data-intensive scientific and engineering workflows. • Experience with cloud and distributed data platforms such as Azure, Azure Databricks, Apache Spark, Kubernetes, and data lake architectures. • Solid understanding of data modeling, metadata management, data lineage, data quality, governance, security and access control. • Experience supporting scientific or engineering workflows (for example simulation, HPC, instrumentation, or time-series sensor data). • Familiarity with AI/ML workflows and MLOps practices is a plus. • Strong communication and collaboration skills, with the ability to translate technical details into clear and actionable guidance.

Job Overview: We are seeking an experienced AI Data Engineer to design, develop, and manage scalable data platforms that enable advanced analytics, Machine Learning (ML), and Generative AI solutions. The ideal candidate will build robust data pipelines, ensure data quality, and integrate AI/ML capabilities into enterprise data ecosystems. Requirement/Must Have: 1+ years of experience in Python, SQL, and PySpark. Experience in ETL/ELT development. Knowledge of Data Modeling (Star Schema, Snowflake Schema). Familiarity with Apache Spark and Databricks. Experience with Airflow, Dataflow, Informatica, ADF, Synapse, or equivalent tools. Understanding of Relational & NoSQL Databases. Knowledge of Data Warehousing concepts. Experience with REST APIs and Microservices. Familiarity with Git, CI/CD, and DevOps practices.

Our client, a major bank in New York City, is looking for Data Architecture & Engineering Lead - Market Risk Technology. New York City Location. This is hybrid commute, 5 days per 2 weeks in the office. Salary range 200-240K, plus around 20% bonus, plus great benefits package. Data Architecture & Engineering Lead - Market Risk Technology As the leader of data architecture and engineering for bank's Market Risk technology platform, you will oversee the end-to-end design, deployment, and operations of critical data solutions supporting VaR, FRTB, sensitivities, stress testing, limits, and regulatory reporting. Your accountability spans the platform's architectural vision, engineering frameworks, and the operational outcomes delivered to Risk, Finance, and Front Office stakeholders. The platform is currently undergoing a migration from SSIS/SQL Server to Databricks and Delta Lake. You will be responsible for setting the target architecture, driving this migration to completion, and ensuring the stability of the legacy estate until it is fully decommissioned. Role: Data Architecture: Oversee the platform's data architecture, including transactional and analytical stores, Lakehouse implementation, semantic layers, and reporting models. Establish scalable standards that apply across teams rather than bespoke designs for individual projects. Engineering Frameworks & Patterns: Develop and enforce reusable libraries and frameworks for data ingestion, quality, reconciliation, lineage, orchestration, error handling, and recovery. Ensure these are built once and adopted broadly across the organization. Migration Leadership: Lead the SSIS-to-Databricks migration program, including sequencing, parallel-run reconciliation, cutover, decommissioning, and operational handover at each step. Risk Data Models: Design canonical and semantically clear data models for trades, positions, sensitivities, P&L, market data, VaR, stress, limits, capital, and regulatory reporting. Ensure models are fit for the consumers who rely on them. Performance & Scale: Optimize SQL and Spark workloads, partitioning, storage design, and query performance to meet stringent EOD SLAs. Data Observability: Integrate quality assurance, SLA tracking, pipeline health, reconciliation, anomaly detection, and lineage as core platform capabilities, not afterthoughts. Full Lifecycle Ownership: Guide the platform from design through deployment and ongoing operations. While production support handles daily operations, you own the engineering discipline that underpins their success. Stakeholder Partnership: Collaborate closely with risk managers, quants, application owners, engineers, support teams, infrastructure, and governance to ensure alignment and platform excellence. Required Experience 15+ years in data architecture, engineering, or platform roles within financial services. Hands-on expertise in Market Risk data domains including trades, positions, sensitivities, P&L, market data, VaR, stress, FRTB, capital, and regulatory reporting, with the depth to model the domain, not just describe it. Proven experience designing and operating modern data platforms including lakehouse, distributed compute, semantic layers, and hybrid on-prem/cloud environments. Production experience with Databricks, Spark, and Delta Lake, plus working knowledge of SQL Server and SSIS to credibly lead migration. Expertise in data modeling for operational, dimensional, semantic, and canonical models. Demonstrated leadership of large ETL modernization initiatives, including sequencing, parallel-run, cutover, and decommissioning. Track record of building reusable engineering frameworks adopted across teams. Experience in performance tuning at scale for SQL Server, Databricks, Spark, storage formats, and query optimization. Architectural leadership: setting direction, reviewing designs, challenging weak patterns, and mentoring engineers and architects. Strong communication skills, capable of defending architectural decisions to senior technology, risk, and business leaders. Please email your resume or use this link to apply directly: Or email: Check ALL our Jobs:

Job Title: Azure Data Engineer Overview / Summary We are seeking an experienced Azure Data Engineer with 5-10 years of relevant experience, including 5-7 years focused on Azure-based data engineering solutions. The role involves designing, developing, modifying, and implementing software programming applications, supporting software applications and operating systems, and participating in software testing activities. The ideal candidate is experienced with Azure data technologies, works effectively on complex tasks, and applies sound judgment and creativity to deliver solutions. Key Responsibilities Design, modify, develop, write, and implement software programming applications. Support and/or install software applications and operating systems. Participate in the software testing process through test review, analysis, test witnessing, and software certification. Develop and maintain Azure-based data engineering solutions. Work with Azure Data Factory (ADF), Databricks, and Synapse Analytics. Perform data transformation and scripting using SQL, Python, or Scala. Work with Azure Cosmos DB and other Azure data storage solutions. Perform discovery of existing tools and data flows and recommend data models, where applicable. Plan and accomplish complex tasks using experience and judgment. Required Qualifications 5-10 years of relevant work experience. 5-7 years of experience in data engineering with a focus on Azure-based solutions. Strong experience with Azure Data Factory (ADF), Databricks, and Synapse Analytics. Knowledge of SQL, Python, or Scala for data transformation and scripting. Hands-on experience with Azure Cosmos DB and other Azure data storage solutions. Familiarity with software testing processes, including test review, analysis, test witnessing, and certification. Familiarity with a variety of software development concepts, practices, and procedures. Ability to perform discovery on existing tools and data flows and recommend data models is a plus. Experience or understanding of working in the digital marketing or ecommerce data domain is preferred. What Makes HTC A Great Place To Build Your Future HTC Global Services wants you to join our team. Come build new things with us and advance your career. At HTC Global, you'll collaborate with experts, work alongside clients, and be part of high-performing teams driving success together. You'll have long-term opportunities to grow your career and develop skills in the latest emerging technologies. At HTC Global Services, our employees have access to a comprehensive benefits package. Benefits can include Group Health (Medical, Dental, and Vision), Paid Time Off, Paid Holidays, 401(k) matching, Group Life and Disability insurance, Professional Development opportunities, Wellness programs, and a variety of other perks. Our success as a company is built on inclusion and diversity. HTC Global Services is committed to providing a workplace free from discrimination and harassment, where every employee is treated with dignity and respect. We celebrate differences and believe that diverse cultures, perspectives, and skills drive innovation and success. HTC is an Equal Opportunity Employer and a proud National Minority Supplier. We seek to empower each individual, fostering an environment where everyone feels valued, included, and respected.

JOB TITLE: Data Engineer JOB LOCATION: Springfield, MA/ NYC Hybrid WAGE RANGE : $78 - 84/ hour JOB NUMBER: REQUIRED EXPERIENCE: Bachelor's degree in a relevant field (e.g., Computer Science, Data Engineering, Analytics, Information Security, or equivalent experience). 8+ years of experience working in Cybersecurity, risk, or technology domains, with deep hands on experience in data engineering, analytics, or data architecture. Demonstrated experience designing and building data pipelines, data models, and analytics architectures, including batch and/or streaming patterns. Practical experience partnering with or working on modern data platforms and tools such as Databricks, Redshift, Snowflake, Alteryx, or equivalent technologies. Working knowledge of Cybersecurity domains, including data privacy, data protection, and core security concepts (e.g., vulnerabilities, threats, controls, risk). Strong coding proficiency (e.g., Python, SQL) with the ability to assess multiple data sources and determine feasibility, data gaps, and engineering approaches to support Cyber use cases. Experience collaborating closely with data engineering, platform, and architecture teams to ensure long term operability and support. CISM CISSP Preferred Qualifications Cybersecurity certifications (e.g., CISSP, CISM) and/or data and analytics certifications (or equivalent advanced experience). Demonstrated experience applying advanced analytics techniques (e.g., predictive modeling, risk indicators, trend analysis) to Cybersecurity or technology risk problems. Experience incorporating or experimenting with AI enabled analytics or development tools (e.g., Claude, AI code assistants, agent based analytics) in a secure enterprise environment. Leadership experience as a technical lead, architect, or people manager within data, analytics, or Cyber practices. Strong proficiency with data visualization and BI tools (e.g., Tableau, Power BI) to deliver executive ready, actionable insights. Deep understanding of the Cyber data domain, including the ability to map analytics and outcomes to frameworks such as NIST CSF and familiarity with MITRE Telecommunication & CK. Experience working with enterprise data ecosystems, including data lakes, warehouses, and shared analytics platforms. Proven ability to operate as a consultative thought partner, shaping innovative use cases aligned to top Cyber risks and enterprise priorities. Track record of leading or delivering end to end data and analytics initiatives that materially improved Cyber risk management, visibility, or decision making. Exceptional communication skills with the ability to translate complex technical outputs into business and risk context for senior leaders and non technical audiences. Equal opportunity employer as to all protected groups, including protected veterans and individuals with disabilities While an hourly range is posted for this position, an eventual hourly rate is determined by a comprehensive salary analysis which considers multiple factors including but not limited to: job-related knowledge, skills and qualifications, education and experience as compared to others in the organization doing substantially similar work, if applicable, and market and business considerations. Benefits offered include medical, dental and vision benefits; dependent care flexible spending account; 401(k) plan; voluntary life/short term disability/whole life/term life/accident and critical illness coverage; employee assistance program; sick leave in accordance with regulation. Benefits may be subject to generally applicable eligibility, waiting period, contribution, and other requirements and conditions. Benefits offered are in accordance with applicable federal, state, and local laws and subject to change at TCM's discretion.

Required Qualifications 8+ years of experience in machine learning, data science, AI engineering, ML engineering, or related roles. Strong hands-on experience building, tuning, validating, and deploying ML models. Experience mentoring data scientists, ML engineers, data engineers, or analytics teams. Strong knowledge of supervised learning, unsupervised learning, classification, regression, forecasting, NLP, and model evaluation techniques. Experience with Python and common ML/data science libraries such as pandas, NumPy, scikit-learn, XGBoost, TensorFlow, PyTorch, or similar. Practical experience with MLOps concepts such as model registry, experiment tracking, CI/CD, deployment pipelines, monitoring, drift detection, and retraining. Experience working with enterprise data platforms, cloud platforms, and modern data engineering practices. Strong understanding of data quality, feature engineering, model validation, and production support. Ability to translate business problems into AI/ML solution designs. Strong communication skills with the ability to explain technical concepts to both technical and non-technical stakeholders. Technical Skills Programming: Python, SQL Machine Learning: scikit-learn, XGBoost, TensorFlow, PyTorch, statistical modeling, forecasting, NLP MLOps: MLflow, Azure ML, Dataiku, model registry, CI/CD, GitHub Actions Data Platforms: Snowflake, Azure SQL, Oracle, data lakes, cloud data platforms AI/GenAI: LLMs, prompt engineering, RAG, semantic search, text-to-SQL, document intelligence Governance: model documentation, lineage, metadata, data quality, responsible AI, privacy and security controls Desired Skills: Preferred Qualifications Experience in healthcare, dental insurance, health insurance, financial services, or another regulated industry. Experience with platforms such as Azure ML, Dataiku, Databricks, Snowflake, MLflow, GitHub, GitHub Actions, Power BI, or similar tools. Experience with GenAI and LLM-based solutions. Experience designing AI solutions using enterprise data platforms such as Snowflake or cloud-based data ecosystems. Experience with responsible AI, model governance, bias detection, explainability, and audit requirements. Experience supporting AI governance councils, architecture reviews, or model risk review processes. Experience with healthcare data domains such as members, providers, claims, benefits, eligibility, call center, clinical, dental, or operational data.

Job Overview: Pay Range: $66hr - $71hr Requirement/Must Have: Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience). 5+ years of professional software development experience in enterprise or SaaS environments. Strong skills in SQL, Python, Java, or C# for backend/data engineering. Experience with Gainsight NXT configuration is highly desirable; alternatively, Salesforce or Microsoft Dynamics configuration experience is strongly valued. Experience developing integrations with CRM platforms and middleware/iPaaS (SnapLogic or equivalent). Proficiency with cloud platforms (Microsoft Azure preferred) and distributed data systems (Databricks, Spark). Experience with frontend/UI frameworks (JavaScript, React, Angular, or equivalent) and building data-driven dashboards. Familiarity with REST APIs, event-driven architectures, and microservices. Strong problem-solving, debugging, and performance optimization skills. Interest or experience in AI/ML solutions for enterprise workflows. Responsibilities: Design and implement scalable solutions within Gainsight NXT and CRM platforms (Salesforce/Dynamics), including configuration of rules, workflows, dashboards, and data models. Build and maintain integrations across Microsoft Dynamics, Azure, Databricks, SnapLogic, and middleware platforms to ensure seamless data flow and automation. Develop data models, pipelines, and transformations that support customer health scoring, lifecycle management, and predictive analytics. Collaborate with architects and product managers to prototype and deploy AI-driven features such as sentiment analysis, escalation triggers, and predictive insights. Ensure solutions are secure, reliable, and performant, following enterprise standards for data governance, testing, and monitoring. Partner with Business Systems Analysts, Product Owners, and Scrum Teams to translate requirements into technical deliverables. Research and adopt new technologies, frameworks, and practices that improve development efficiency and system scalability. Skills: Gainsight. Salesforce. Dynamics. Integration Development. Snaplogic. Middleware. APIs. SQL. Data engineering. Azure cloud. Python. Java. C#. Databricks. Spark. React. Angular. Javascript. AI. ML. Benefits Our Benefits Include: Medical, Dental, and Vision Insurance 401(k) Retirement Plan Health Savings Account (HSA) Disability Insurance (Short-Term and Long-Term) Life and AD&D Insurance Paid Sick Leave (where required by applicable state or local law) Supplemental Insurance Plans Identity Theft Protection Pet Insurance Employee Wellness Programs Employee Assistance Program (EAP) Career Growth and Professional Development Opportunities Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws. About Cynet Systems Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia. As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.

Job Title: Senior Data Engineer / Data Architect Location: Plano ,TX Duration: Contract - 8 months Pay Range: $77.58 - $82.58 Job ID: 371932 About BCforward BCforward is a leading global IT consulting and workforce solutions firm providing services and support to Fortune 500 and government clients. Founded in 1998, BCforward has grown with our customers needs into a full-service business solutions provider. With delivery centers and offices across North America and India, we take pride in building long-term relationships and delivering excellence through innovation, collaboration, and integrity. Job Description We are seeking a Big Data Engineer to join our team. The ideal candidate will have strong experience in Java/J2EE development, Agile delivery, and CI/CD practices and a proven ability to design, build, test, deploy, and maintain secure, resilient applications. Responsibilities: - Design, develop and maintain scalable and large-scale data processing pipelines and infrastructure on the cloud following engineering standards, governance standards and technology best practices - Develop and optimize data models for large-scale datasets, ensuring efficient storage, retrieval, and analytics while maintaining data integrity and quality. - Collaborate with cross-functional teams to translate business requirements into scalable and effective data engineering solutions. - Demonstrate a passion for innovation and continuous improvement in data engineering, proactively identifying opportunities to enhance data infrastructure, data processing and analytics capabilities. Required Skills & Qualifications: - Strong analytical problem solving and critical thinking skills - Proficiency in at least one programming language ( Python, if not Java or Scala) - Proficiency in at least one distributed data processing framework ( Spark or similar) - Proficiency in at least one cloud data Lakehouse platforms (AWS Data lake services or Databricks, alternatively Hadoop), - Proficiency in at least one scheduling/orchestration tools ( Airflow, if not AWS Step Functions or similar) -Proficiency with relational and NoSQL databases. - Proficiency in data structures, data serialization formats (JSON, AVRO, Protobuf, or similar), and big-data storage formats (Parquet, Iceberg, or similar), -Experience working in teams following Agile methodology - Experience with test-driven development (TDD) or behavior-driven development (BDD) practices, as well as working with continuous integration and continuous deployment (CI/CD) tools. Preferred Skills: Experience with cloud platforms and related services. Exposure to test automation and performance engineering. Why BCforward? At BCforward, we believe in advancing lives and careers. When you join our team, you gain access to: Competitive compensation and benefits Opportunities for growth with global clients A supportive, inclusive culture that values innovation and people Exposure to cutting-edge technologies and projects About Our Commitment BCforward is an equal opportunity employer. We value diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, or veteran status. Interested? Apply Now! If this sounds like the right opportunity for you, please apply with your most recent resume or contact: Email: Phone: