Data engineer jobs in North Las Vegas, NV

At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. **Technology - Data and Decision Science - Data Engineering - Manager** We are looking for a dynamic and experienced Manager of Data Engineering to lead our team in designing and implementing complex cloud analytics solutions with a strong focus on Databricks. The ideal candidate will possess deep technical expertise in data architecture, cloud technologies, and analytics, along with exceptional leadership and client management skills. **The opportunity:** In this role, you will design and build analytics solutions that deliver significant business value. You will collaborate with other data and analytics professionals, management, and stakeholders to ensure that business requirements are translated into effective technical solutions. Key responsibilities include: + Understanding and analyzing business requirements to translate them into technical requirements. + Designing, building, and operating scalable data architecture and modeling solutions. + Staying up to date with the latest trends and emerging technologies to maintain a competitive edge. **Key Responsibilities:** As a Data Engineering Manager, you will play a crucial role in managing and delivering complex technical initiatives. Your time will be spent across various responsibilities, including: + Leading workstream delivery and ensuring quality in all processes. + Engaging with clients on a daily basis, actively participating in working sessions, and identifying opportunities for additional services. + Implementing resource plans and budgets while managing engagement economics. This role offers the opportunity to work in a dynamic environment where you will face challenges that require innovative solutions. You will learn and grow as you guide others and interpret internal and external issues to recommend quality solutions. Travel may be required regularly based on client needs. **Skills and attributes for success:** To thrive in this role, you should possess a blend of technical and interpersonal skills. The following attributes will make a significant impact: + Lead the design and development of scalable data engineering solutions using Databricks on cloud platforms (e.g., AWS, Azure, GCP). + Oversee the architecture of complex cloud analytics solutions, ensuring alignment with business objectives and best practices. + Manage and mentor a team of data engineers, fostering a culture of innovation, collaboration, and continuous improvement. + Collaborate with clients to understand their analytics needs and deliver tailored solutions that drive business value. + Ensure the quality, integrity, and security of data throughout the data lifecycle, implementing best practices in data governance. + Drive end-to-end data pipeline development, including data ingestion, transformation, and storage, leveraging Databricks and other cloud services. + Communicate effectively with stakeholders, including technical and non-technical audiences, to convey complex data concepts and project progress. + Manage client relationships and expectations, ensuring high levels of satisfaction and engagement. + Stay abreast of the latest trends and technologies in data engineering, cloud computing, and analytics. + Strong analytical and problem-solving abilities. + Excellent communication skills, with the ability to convey complex information clearly. + Proven experience in managing and delivering projects effectively. + Ability to build and manage relationships with clients and stakeholders. **To qualify for the role, you must have:** + Bachelor's degree in computer science, Engineering, or a related field required; Master's degree preferred. + Typically, no less than 4 - 6 years relevant experience in data engineering, with a focus on cloud data solutions and analytics. + Proven expertise in Databricks and experience with Spark for big data processing. + Strong background in data architecture and design, with experience in building complex cloud analytics solutions. + Experience in leading and managing teams, with a focus on mentoring and developing talent. + Strong programming skills in languages such as Python, Scala, or SQL. + Excellent problem-solving skills and the ability to work independently and as part of a team. + Strong communication and interpersonal skills, with a focus on client management. **Required Expertise for Managerial Role:** + **Strategic Leadership:** Ability to align data engineering initiatives with organizational goals and drive strategic vision. + **Project Management:** Experience in managing multiple projects and teams, ensuring timely delivery and adherence to project scope. + **Stakeholder Engagement:** Proficiency in engaging with various stakeholders, including executives, to understand their needs and present solutions effectively. + **Change Management:** Skills in guiding clients through change processes related to data transformation and technology adoption. + **Risk Management:** Ability to identify potential risks in data projects and develop mitigation strategies. + **Technical Leadership:** Experience in leading technical discussions and making architectural decisions that impact project outcomes. + **Documentation and Reporting:** Proficiency in creating comprehensive documentation and reports to communicate project progress and outcomes to clients. **Large-Scale Implementation Programs:** 1. **Enterprise Data Lake Implementation:** Led the design and deployment of a cloud-based data lake solution for a Fortune 500 retail client, integrating data from multiple sources (e.g., ERPs, POS systems, e-commerce platforms) to enable advanced analytics and reporting capabilities. 2. **Real-Time Analytics Platform:** Managed the development of a real-time analytics platform using Databricks for a financial services organization, enabling real-time fraud detection and risk assessment through streaming data ingestion and processing. 3. **Data Warehouse Modernization:** Oversaw the modernization of a legacy data warehouse to a cloud-native architecture for a healthcare provider, implementing ETL processes with Databricks and improving data accessibility for analytics and reporting. **Ideally, you'll also have:** + Experience with advanced data analytics tools and techniques. + Familiarity with machine learning concepts and applications. + Knowledge of industry trends and best practices in data engineering. + Familiarity with cloud platforms (AWS, Azure, GCP) and their data services. + Knowledge of data governance and compliance standards. + Experience with machine learning frameworks and tools. **What we look for:** We seek individuals who are not only technically proficient but also possess the qualities of top performers, including a strong sense of collaboration, adaptability, and a passion for continuous learning. If you are driven by results and have a desire to make a meaningful impact, we want to hear from you. FY26NATAID **What we offer you** At EY, we'll develop you with future-focused skills and equip you with world-class experiences. We'll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more . + We offer a comprehensive compensation and benefits package where you'll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $125,500 to $230,200. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $150,700 to $261,600. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options. + Join us in our team-led and leader-enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year. + Under our flexible vacation policy, you'll decide how much vacation time you need based on your own personal circumstances. You'll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being. **Are you ready to shape your future with confidence? Apply today.** EY accepts applications for this position on an on-going basis. For those living in California, please click here for additional information. EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities. **EY | Building a better working world** EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories. EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law. EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY's Talent Shared Services Team (TSS) or email the TSS at ************************** .

Deloitte is at the leading edge of GenAI innovation, transforming Strategic Analytics and shaping the future of Finance. We invite applications from highly skilled and experienced Lead Data Scientists ready to drive the development of our next-generation GenAI solutions. The Team Strategic Analytics is a dynamic part of our Finance FP&A organization, dedicated to empowering executive leaders across the firm, as well as our partners in financial and operational functions. Our team harnesses the power of cloud computing, data science, AI, and strategic expertise-combined with deep institutional knowledge-to deliver insights that inform our most critical business decisions and fuel the firm's ongoing growth. GenAI is at the forefront of our innovation agenda and a key strategic priority for our future. We are rapidly developing groundbreaking products and solutions poised to transform both our organization and our clients. As part of our team, the selected candidate will play a pivotal role in driving the success of these high-impact initiatives. Recruiting for this role ends on December 14, 2025 Work You'll Do Client Engagement & Solution Scoping + Partner with stakeholders to analyze business requirements, pain points, and objectives relevant to GenAI use cases. + Facilitate workshops to identify, prioritize, and scope impactful GenAI applications (e.g., text generation, code synthesis, conversational agents). + Clearly articulate GenAI's value proposition, including efficiency gains, risk mitigation, and innovation. + Solution Architecture & Design + Architect holistic GenAI solutions, selecting and customizing appropriate models (GPT, Llama, Claude, Zora AI, etc.). + Design scalable integration strategies for embedding GenAI into existing client systems (ERP, CRM, KM platforms). + Define and govern reliable, ethical, and compliant data sourcing and management. Development & Customization + Lead model fine-tuning, prompt engineering, and customization for client-specific needs. + Oversee the development of GenAI-powered applications and user-friendly interfaces, ensuring robustness and exceptional user experience. + Drive thorough validation, testing, and iteration to ensure quality and accuracy. Implementation, Deployment & Change Management + Manage solution rollout, including cloud setup, configuration, and production deployment. + Guide clients through adoption: deliver training, create documentation, and provide enablement resources for users. Risk, Ethics & Compliance + Lead efforts in responsible AI, ensuring safeguards against bias, privacy breaches, and unethical outcomes. + Monitor performance, implement KPIs, and manage model retraining and auditing processes. Stakeholder Communication + Prepare executive-level reports, dashboards, and demos to summarize progress and impact. + Coordinate across internal teams, tech partners, and clients for effective project delivery. Continuous Improvement & Thought Leadership + Stay current on GenAI trends, best practices, and emerging technologies; share insights across teams. + Mentor junior colleagues, promote knowledge transfer, and contribute to reusable methodologies. Qualifications Required: + Bachelor's or Master's degree in Computer Science, Engineering, Data Science, Mathematics, or related field. + 5+ years of hands-on experience delivering machine learning or AI solutions, preferably including generative AI. + Independent thinker who can create the vision and execute on transforming data into high end client products. + Demonstrated accomplishments in the following areas: + Deep understanding of GenAI models and approaches (LLMs, transformers, prompt engineering). + Proficiency in Python (PyTorch, TensorFlow, HuggingFace), Databricks, ML pipelines, and cloud-based deployment (Azure, AWS, GCP). + Experience integrating AI into enterprise applications, building APIs, and designing scalable workflows. + Knowledge of solution architecture, risk assessment, and mapping technology to business goals. + Familiarity with agile methodologies and iterative delivery. + Commitment to responsible AI, including data ethics, privacy, and regulatory compliance. + Ability to travel 0-10%, on average, based on the work you do and the clients and industries/sectors you serve + Limited immigration sponsorship may be available. Preferred: + Relevant Certifications: May include Google Cloud Professional ML Engineer, Microsoft Azure AI Engineer, AWS Certified Machine Learning, or specialized GenAI/LLM credentials. + Experience with data visualization tools such as Tableau The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $102,500 - $188,900. You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance. Information for applicants with a need for accommodation ************************************************************************************************************ EA_FA_ExpHire All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.

Description & Requirements We now have an exciting opportunity for a Principal Data Scientist to join the Maximus AI Accelerator supporting both the enterprise and our clients. We are looking for an accomplished hands-on individual contributor and team player to be a part of the AI Accelerator team. You will be responsible for architecting and optimizing scalable, secure AI systems and integrating AI models in production using MLOps best practices, ensuring systems are resilient, compliant, and efficient. This role requires strong systems thinking, problem-solving abilities, and the capacity to manage risk and change in complex environments. Success depends on cross-functional collaboration, strategic communication, and adaptability in fast-paced, evolving technology landscapes. This position will be focused on strategic company-wide initiatives but will also play a role in project delivery and capture solutioning (i.e., leaning in on existing or future projects and providing solutioning to capture new work.) This position requires occasional travel to the DC area for client meetings. Essential Duties and Responsibilities: - Make deep dives into the data, pulling out objective insights for business leaders. - Initiate, craft, and lead advanced analyses of operational data. - Provide a strong voice for the importance of data-driven decision making. - Provide expertise to others in data wrangling and analysis. - Convert complex data into visually appealing presentations. - Develop and deploy advanced methods to analyze operational data and derive meaningful, actionable insights for stakeholders and business development partners. - Understand the importance of automation and look to implement and initiate automated solutions where appropriate. - Initiate and take the lead on AI/ML initiatives as well as develop AI/ML code for projects. - Utilize various languages for scripting and write SQL queries. Serve as the primary point of contact for data and analytical usage across multiple projects. - Guide operational partners on product performance and solution improvement/maturity options. - Participate in intra-company data-related initiatives as well as help foster and develop relationships throughout the organization. - Learn new skills in advanced analytics/AI/ML tools, techniques, and languages. - Mentor more junior data analysts/data scientists as needed. - Apply strategic approach to lead projects from start to finish; Job-Specific Minimum Requirements: - Develop, collaborate, and advance the applied and responsible use of AI, ML and data science solutions throughout the enterprise and for our clients by finding the right fit of tools, technologies, processes, and automation to enable effective and efficient solutions for each unique situation. - Contribute and lead the creation, curation, and promotion of playbooks, best practices, lessons learned and firm intellectual capital. - Contribute to efforts across the enterprise to support the creation of solutions and real mission outcomes leveraging AI capabilities from Computer Vision, Natural Language Processing, LLMs and classical machine learning. - Contribute to the development of mathematically rigorous process improvement procedures. - Maintain current knowledge and evaluation of the AI technology landscape and emerging. developments and their applicability for use in production/operational environments. Minimum Requirements - Bachelor's degree in related field required. - 10-12 years of relevant professional experience required. Job-Specific Minimum Requirements: - 10+ years of relevant Software Development + AI / ML / DS experience. - Professional Programming experience (e.g. Python, R, etc.). - Experience in two of the following: Computer Vision, Natural Language Processing, Deep Learning, and/or Classical ML. - Experience with API programming. - Experience with Linux. - Experience with Statistics. - Experience with Classical Machine Learning. - Experience working as a contributor on a team. Preferred Skills and Qualifications: - Masters or BS in quantitative discipline (e.g. Math, Physics, Engineering, Economics, Computer Science, etc.). - Experience developing machine learning or signal processing algorithms: - Ability to leverage mathematical principles to model new and novel behaviors. - Ability to leverage statistics to identify true signals from noise or clutter. - Experience working as an individual contributor in AI. - Use of state-of-the-art technology to solve operational problems in AI and Machine Learning. - Strong knowledge of data structures, common computing infrastructures/paradigms (stand alone and cloud), and software engineering principles. - Ability to design custom solutions in the AI and Advanced Analytics sphere for customers. This includes the ability to scope customer needs, identify currently existing technologies, and develop custom software solutions to fill any gaps in available off the shelf solutions. - Ability to build reference implementations of operational AI & Advanced Analytics processing solutions. Background Investigations: - IRS MBI - Eligibility #techjobs #VeteransPage EEO Statement Maximus is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information and other legally protected characteristics. Pay Transparency Maximus compensation is based on various factors including but not limited to job location, a candidate's education, training, experience, expected quality and quantity of work, required travel (if any), external market and internal value analysis including seniority and merit systems, as well as internal pay alignment. Annual salary is just one component of Maximus's total compensation package. Other rewards may include short- and long-term incentives as well as program-specific awards. Additionally, Maximus provides a variety of benefits to employees, including health insurance coverage, life and disability insurance, a retirement savings plan, paid holidays and paid time off. Compensation ranges may differ based on contract value but will be commensurate with job duties and relevant work experience. An applicant's salary history will not be used in determining compensation. Maximus will comply with regulatory minimum wage rates and exempt salary thresholds in all instances. Accommodations Maximus provides reasonable accommodations to individuals requiring assistance during any phase of the employment process due to a disability, medical condition, or physical or mental impairment. If you require assistance at any stage of the employment process-including accessing job postings, completing assessments, or participating in interviews,-please contact People Operations at **************************. Minimum Salary $ 156,740.00 Maximum Salary $ 234,960.00

Title: Data Engineer Belong. Connect. Grow. with KBR! KBR's National Security Solutions team provides high-end engineering and advanced technology solutions to our customers in the intelligence and national security communities. In this position, your work will have a profound impact on the country's most critical role - protecting our national security. Why Join Us? + Innovative Projects: KBR's work is at the forefront of engineering, logistics, operations, science, program management, mission IT and cybersecurity solutions. + Collaborative Environment: Be part of a dynamic team that thrives on collaboration and innovation, fostering a supportive and intellectually stimulating workplace. + Impactful Work: Your contributions will be pivotal in designing and optimizing defense systems that ensure national security and shape the future of space defense. Come join the ITEA award winning TRMC BDKM team and be a part of the team responsible for revolutionizing how analysis is performed across the entire Department of Defense! Key Responsibilities: As a Data Engineer, you will be a critical part of the team that is responsible for enabling the development of data-driven decision analysis products through the innovative application, and promotion, of novel methods from data science, machine learning, and operations research to provide robust and flexible testing and evaluation capabilities to support DoD modernization. + Analytic Experience: Candidate will be a part of the technical team responsible for providing analytic consulting services, supporting analytic workflow and product development and testing, promoting the user adoption of methods and best practices from data science, conducting applied methods projects, and supporting the creation of analysis-ready data. + Onsite Support: Candidate will be the face of the CHEETAS Team and will be responsible for ensuring stakeholders have the analytical tools, data products and reports they need to make insightful recommendations based on your data driven analysis. + Stakeholder Assistance: Candidate will directly assisting both analyst / technical and non-analyst / non-technical stakeholders with the analysis of DoD datasets and demonstrating the 'art of the possible' to the stakeholders and VIPs with insights gained from your analysis of DoD Test and Evaluation (T&E) data. + Communication: Must effectively communicate at both a programmatic and technical level. Although you potentially may be the only team member physically on-site supporting you will not be alone. You will have support from other data science team members as well as the software engineering and system administration teams. + Technical Support: Candidate will be responsible for running and operating CHEETAS (and other tools); demonstrating these tools to stakeholders & VIPs; conveying analysis results; adapting internally-developed tools, notebooks and reports to meet emerging needs; gathering use cases, requirements, gaps and needs from stakeholders and for larger development items providing that information as feature requests or bug reports to the CHEETAS development team; and performing impromptu hands-on training sessions with end users and potentially troubleshooting problems from within closed networks without internet access (with support from distributed team members). + Independent Work: Candidate must be self-motivated and capable of working independently with little supervision / direct tasking. Work Environment: + Location: Onsite + Travel Requirements: This position will require travel of 25% with potential surge to 50% to support end users located at various DoD ranges & labs located across the US (including Alaska and Hawaii). When not supporting a site, this position can work remotely or from a nearby KBR office (if available and desired). + Working Hours: Standard, although you potentially may be the only team member physically on-site providing support, you will not be alone. Basic Qualifications: + Security Clearance: Active or current TS/SCI Clearance is required + Education: A degree in operations research, engineering, applied math, statistics, computer science or information technology with preferred 15+ years of experience within DoD. Candidates with 10-15 years of DoD experience will be considered on a case-by-case basis. Entry level candidates will not be considered. + Technical Experience: Previous experience must include five (5) years of hands-on experience in big data analytics, five (5) years of hands-on experience with object-oriented and functional languages (e.g., Python, R, C++, C#, Java, Scala, etc.). + Data Experience: Experience in dealing with imperfections in data. Experience should demonstrate competency in key concepts from software engineering, computer programming, statistical analysis, data mining algorithms, machine learning, and modeling sufficient to inform technical choices and infrastructure configuration. + Data Analytics: Proven analytical skills and experience in preparing and handling large volumes of data for ETL processes. Experience should include working with teams in the development and interpretation the results of analytic products with DoD specific data types. + Big Data Infrastructure: Experience in the installation, configuration, and use of big data infrastructure (Spark, Trino, Hadoop, Hive, Neo4J, JanusGraph, HBase, MS SQL Server with Polybase, VMWare as examples). Experience in implementing Data Visualization solutions. Qualifications Required: + Experience using scripting languages (Python and R) to process, analyze and visualize data. + Experience using notebooks (Jupyter Notebooks and RMarkdown) to create reproducible and explainable products. + Experience using interactive visualization tools (RShiny, py Shiny, Dash) to create interactive analytics. + Experience generating and presenting reports, visualizations and findings to customers. + Experience building and optimizing 'big data' data pipelines, architectures and data sets. + Experience cleaning and preparing time series and geospatial data for analysis. + Experience working with Windows, Linux, and containers. + Experience querying databases using SQL and working with and configuring distributed storage and computing environments to conduct analysis (Spark, Trino, Hadoop, Hive, Neo4J, JanusGraph, MongoDB, Accumulo, HBase as examples). + Experience working with code repositories in a collaborative team. + Ability to make insightful recommendations based on data driven analysis and customer interactions. + Ability to effectively communicate both orally and in writing with customers and teammates. + Ability to speak and present findings in front of large technical and non-technical groups. + Ability to create documentation and repeatable procedures to enable reproducible research. + Ability to create training and educational content for novice end users on the use of tools and novel analytic methods. + Ability to solve problems, debug, and troubleshoot while under pressure and time constraints is required. + Should be self-motivated to design, develop, enhance, reengineer or integrate software applications to improve the quality of data outputs available for end users. + Ability to work closely with data scientists to develop and subsequently implement the best technical design and approach for new analytical products. + Strong analytical skills related to working with both structured and unstructured datasets. + Excellent programming, testing, debugging, and problem-solving skills. + Experience designing, building, and maintaining both new and existing data systems and solutions + Understanding of ETL processes, how they function and experience implementing ETL processes required. + Knowledge of message queuing, stream processing and extracting value from large disparate datasets. + Knowledge of software design patterns and Agile Development methodologies is required. + Knowledge of methods from operations research, statistical and machine learning, data science, and computer science is sufficient to select appropriate methods to enable data preparation and computing architecture configuration to implement these approaches. + Knowledge of computer programming concepts, data structures and storage architecture, to include relational and non-relational databases, distributed computing frameworks, and modeling and simulation experimentation sufficient to select appropriate methods to enable data preparation and computing architecture configuration to implement these approaches. Ready to Make a Difference? If you're excited about making a significant impact in the field of space defense and working on projects that matter, we encourage you to apply and join our team at KBR. Let's shape the future together. KBR Benefits KBR offers a selection of competitive lifestyle benefits which could include 401K plan with company match, medical, dental, vision, life insurance, AD&D, flexible spending account, disability, paid time off, or flexible work schedule. We support career advancement through professional training and development. Belong, Connect and Grow at KBRAt KBR, we are passionate about our people and our Zero Harm culture. These inform all that we do and are at the heart of our commitment to, and ongoing journey toward being a People First company. That commitment is central to our team of team's philosophy and fosters an environment where everyone can Belong, Connect and Grow. We Deliver - Together. KBR is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, disability, sex, sexual orientation, gender identity or expression, age, national origin, veteran status, genetic information, union status and/or beliefs, or any other characteristic protected by federal, state, or local law.

About the Role Join our Sportsbook team as a Graduate Data Scientist, where you'll gain hands-on experience working at the intersection of quantitative modeling and trading operations. You'll help support the development and monitoring of predictive models that power real-time odds and trading decisions, while also participating in trading workflows for pre-match and in-play sports betting markets. This is an excellent opportunity for an analytically minded graduate with a passion for sports, data, and betting markets to learn from an experienced team and grow into a hybrid quant/trading role. This is an on-site position at our Las Vegas, NV office. Key Responsibilities * Assist in building, testing, and maintaining statistical models used to price sportsbook markets (e.g., moneyline, spreads, totals, props). * Conduct exploratory data analysis and feature engineering using historical sports data and real-time feeds. * Analyze performance metrics like margin, P&L, and customer behavior to improve pricing accuracy and model calibration. * Work closely with Trading, Product, and Engineering teams to support model improvements and ensure seamless trading execution.. * Stay up-to-date with sports analytics, statistical methods, and advanced machine learning; evaluate new methods to keep our models best-in-class. * Support traders with pricing, risk management, and market monitoring during live events. * Monitor odds movement, betting patterns, and liabilities to help ensure market efficiency. * Contribute to setting pre-match and in-play prices using internal tools and models. Qualifications * Bachelor's or Master's degree in a quantitative field such as Statistics, Mathematics, Computer Science, Engineering, or similar. * Solid foundation in probability and statistics, with an interest in applying these to real-world problems. * Strong programming skills in Python (especially with data-focused libraries like pandas and NumPy). * Passion for sports and interest in sportsbook mechanics or financial markets. * Strong attention to detail, especially when working with live data and pricing environments. * Willingness to work flexible hours during major sporting events as needed. Nice to Have * Familiarity with sports betting odds and common market types (e.g., spread, totals, player props). * Exposure to sports analytics or participation in data competitions (e.g., Kaggle, university research). * Experience with data visualization tools or dashboarding * Prior experience in a sportsbook, trading desk, or similar high-tempo environment.

Since 2012, we've grown to become one of the leading single-family rental companies and homebuilders in the country, recently recognized as a top employer by Fortune and Great Place To Work . At AMH, our goal is to simplify the experience of leasing a home through professional management and maintenance support, so our residents can focus on what really matters to them, wherever they are in life. The Senior Data Engineer is responsible for designing, building, and managing the data platform and tools to allow for the efficient processing and analysis of large data sets. Develops and maintains scalable data pipelines, ensures data quality, and deploys machine learning models to production. Collaborates with business teams to improve data models that feed business intelligence tools, increasing data accessibility and fostering data-driven decision-making across the organization. Builds real-time and batch pipelines to handle large volumes of data efficiently. Collaborates with cross-functional teams and translate business requirements into scalable data solutions. Responsibilities: Design, develop, and maintain real-time or batch data pipelines to process and analyze large volumes of data. Designs and develops programs and tools to support ingestion, curation, and provisioning of complex first party and third-party data to achieve analytics, reporting, and data science. Design and develop Advanced Data Products and Intelligent API's. Monitors the system performance by performing regular tests, troubleshoots, and integrates new features. Lead in analysis of data and the design the data architecture to support BI, AI/ML and data products. Designs and implements data platform architecture to meet organization analytical requirements. Ensures the solution designs address operational requirements such as scalability, maintainability, extensibility, flexibility, and integrity. Provide technical leadership and mentorship to team members. Leads peer development and code reviews with focus on test driven development and Continuous Integration and Continuous Development (CICD). Requirements: Bachelor's degree in computer science, information systems, data science, management information systems, mathematics, physics, engineering, statistics, economics, and/or a related field required. Master's degree in computer science, information systems, data science, management information systems, mathematics, physics, engineering, statistics, economics, and/or a related field preferred. Minimum of eight (8) years of experience as a data engineer with full-stack capabilities Minimum of ten (10) years of Experience in programming Minimum of five (5) years in Cloud technologies like Azure, Aws or Google. Strong SQL Knowledge Experience in ML and ML Pipeline a plus Experience in real-time integration, developing intelligent apps and data products. Proficiency in Python and experience with CI/CD practices Strong background in IAAS platforms and infrastructure Hands-on experience with Databricks, Spark, Fabric, or similar technologies Experience in Agile methodologies Hands-on experience in the design and development of data pipelines and data products Experience in developing data ingestion, data processing, and analytical pipelines for big data, NoSQL, and data warehouse solutions. Hands-on experience implementing data migration and data processing using Azure services: ADLS, Azure Data Factory, Event Hub, IoT Hub, Azure Stream Analytics, Azure Analysis Service, HDInsight, Databricks Azure Data Catalog, Cosmo Db, ML Studio, AI/ML, etc. Extensive experience in Big Data technologies such as Apache Spark and streaming technologies such as Kafka, EventHub, etc. Extensive experience in designing data applications in a cloud environment. Intermediate experience in RESTful APIs, messaging systems, and AWS or Microsoft Azure. Extensive experience in Data Architecture and data modeling Expert in data analysis and data quality frameworks. Knowledgeable with BI tools such as Power BI and Tableau. May occasionally work evenings and/or weekends. Compensation The anticipated pay range/scale for this position is $121,116.00 to $151,395.00 Annually. Actual starting base pay within this range will depend on factors including geographic location, education, training, skills, and relevant experience. Additional Compensation This position is eligible to receive a discretionary annual bonus. Perks and Benefits Employees have the opportunity to participate in medical, dental and vision insurance; flexible spending accounts and/or health savings accounts; dependent savings accounts; 401(k) with company matching contributions; employee stock purchase plan; and a tuition reimbursement program. The Company provides 9 paid holidays per year, and, upon hire, new employees will accrue paid time off (PTO) at a rate of 0.0577 hours of PTO per hour worked, up to a maximum of 120 hours per year. CA Privacy Notice: To learn more about what information we collect when you apply for a job, and how we use that information, please see our CA Job Applicant Privacy Notice found at ************************************** #LI-PH1

The Associate Compliance Data Engineer is a diligent teammate who collaborates with cross-functional stakeholders-including Studios, Operations, Supply Chain, ERP, Marketing, D&D, Product Compliance, and Finance-to ensure accurate data entry and effective communication. Responsible for entering product information (games, platforms, OS, firmware, peripherals, Signs, etc.) into M2K, D365, Team Center, or relevant systems. Supports the Tech Admin Quality team by identifying gaps, risks, and priorities to ensure clear and complete submissions to Product Compliance. What You'll Do Enter accurate, complete, and consistent component data in ERP/SSOT within 48 hours Maintain accurate entries as needed Release ECO upon submission of the package completion Lead ERP meetings and support the ERB chairperson with strategic feedback Respond to all departmental, regulator, and casino queries within 24 hours Redirect out-of-scope inquiries and provide timely status updates when answers are delayed Identify and document process improvements aligned with Product Compliance Call out barriers and manage work amid shifting priorities or disruptions Assist with signing manifests, producing game sets, compiling games, and burning software for submissions/trade shows What We're Looking For Minimum of 1 year experience in a software development environment or equivalent experience in Software Quality Assurance with a focus on Compliance Regulations. Familiar with various applications, such as: M2K (ERP/SSOT); Teamcenter, Microsoft Office Programs, Jira, SharePoint, and Salesforce. Demonstrates adaptability in a multifaceted environment and recognizes the importance of urgency when required. Skill with looking into, analyzing, and understanding current and upcoming Compliance requirements. Accurately analyze situations, finding solutions, and solving challenges Ensures that all submission assets and activities within the department align with relevant laws, regulations, policies, and procedures pertinent to this role. Skill in identifying information requirements, capturing and analyzing data for formal submission reporting and publication. Capable of responding to growing demands and adjusting to frequently shifting priorities. This position calls for a driven and detail-focused person who can tackle problems involving various priorities and investigate any conflicting or incorrect information. Strong understanding and operational proficiency in the specific area of product focus. Capable of exercising independent judgment and effectively communicating information to various team members. Ability to read and understand the studio specs and math documents Strong written, verbal, and interpersonal skills, and the ability to effectively communicate with a wide range of stakeholders in a diverse community. Must be a team player, able to work independently with minimal direction, and work under tight, prioritized deadlines Why Aristocrat? Aristocrat is a world leader in gaming content and technology, and a top-tier publisher of free-to-play mobile games. We deliver great performance for our B2B customers and bring joy to the lives of the millions of people who love to play our casino and mobile games. And while we focus on fun, we never forget our responsibilities. We strive to lead the way in responsible gameplay, and to lift the bar in company governance, employee wellbeing and sustainability. We're a diverse business united by shared values and an inspiring mission to bring joy to life through the power of play. We aim to create an environment where individual differences are valued, and all employees have the opportunity to realize their potential. We welcome and encourage applications from all people regardless of age, gender, race, ethnicity, cultural background, disability status or LGBTQ+ identity. EEO M/F/D/V World Leader in Gaming Entertainment Robust benefits package Global career opportunities Our Values All about the Player Talent Unleashed Collective Brilliance Good Business Good Citizen Travel Expectations None Pay Range $47,775 - $88,725 per year Our goal is to pay a market competitive salary focusing near the median of our pay ranges. However, final offers for all positions will be based on several factors such as experience level, education, skills, work location, and internal pay equity. This position offers a comprehensive benefits package, including health, dental, and vision insurance, paid time off, and a 401(k) plan with employer matching, more details available at ************************* Additional Information This role is subject to mandatory background screening and regulatory approvals. As part of your employment with Aristocrat, you may be required to complete a criminal background check, submit fingerprints, and obtain licenses or registrations with applicable gaming regulatory authorities. Aristocrat operates in a highly regulated environment and holds licenses in over 340 gaming jurisdictions worldwide. To meet our global compliance obligations, you will be required to provide the disclosure of relevant personal and background information to government agencies, sovereign nations/tribal regulators, and other applicable gaming regulatory bodies. This is a condition of Aristocrat's gaming licenses. The specific information required may vary depending on the jurisdiction and project assignment. At this time, we are unable to sponsor work visas for this position. Candidates must be authorized to work in the job posting location for this position on a full-time basis without the need for current or future visa sponsorship.

Role: Data Engineer Project Type: Long Term Contract Client : Atos Syntel JOB DESCRIPTION :- Must have hands on experience and knowledge on Bigdata ecosystem Must have hands on experience in Apache PySpark Must have hands on experience in Java (Specifically Spring Boot webservices) Proficient in writing Python code Good SQL knowledge for Hive Queries Docker & Kubernetes : Good to have , not must

The primary responsibility of the Data Engineer II - Enterprise Analytics is assisting in designing, developing, and deploying data-driven solutions as part of Enterprise Analytics data strategy and goals. Data Engineer II - Enterprise Analytics is responsible for creating reliable ETLs and scalable data pipelines to support Analytics and BI environment (including modeling and machine learning, visualizations, reports, forecasts, etc.). Data Engineer II - Enterprise Analytics participates development of robust data models by interpreting business logic required to turn complex ideas into a sustainable value-add processes. All duties are to be performed in accordance with departmental and The Venetian Resort's policies, practices, and procedures. Essential Duties & Responsibilities: * Collaborate with Enterprise Analytics BI Analysts, Data Scientists, and other business stakeholders to understand business problems and data requirements to build data structures to be ingested by analytics products (e.g.: reports, dashboards, etc.) and complex algorithms that provide unique insights into data. * Build data pipelines that clean, transform, and aggregate data from disparate sources. * Develop robust data models, including dimensional models, that can be used to answer questions for overall business and assist Data Scientists in predictive models building. * Develop logic for KPIs as requested by the business leadership. * Troubleshoot existing and create new ETLs and pipelines, SSIS packages, DAGs, Python/ Big Query/ SQL stored procedures and jobs. * Write efficient and optimized SQL code for use in data pipelines and data processing. * Drive data quality processes like data profiling, data cleansing, etc. * Develop best practices and approaches to support continuous process automation for data ingestion and data pipelines. * Use innovative problem solving and critical thinking approaches to troubleshoot challenging data obstacles. * Test, optimize, troubleshoot, and fine-tune queries for maximum efficiency in addition to accuracy of results. Additional Duties & Responsibilities: * Perform QA and UAT processes to foster an agile development cycle. * Participate in informal reviews of design, code, QA and UAT artifacts, both for owned work and for the work of colleagues. Provide challenging and meaningful feedback when appropriate. * Create documentation on table design, mapping out steps and underlying logic within data marts to facilitate data adoption with minimum guidance from the Enterprise Analytics management. * Identify opportunities for improvement not just in owned work, but also other areas of the department. * Safety is an essential function of this job. * Consistent and regular attendance is an essential function of this job. * Performs other related duties as assigned. Company Standards of Conduct All The Venetian Resort Team Members are expected to conduct and carry themselves in a professional manner at all times. Team Members are required to observe the Company's standards, work requirements and rules of conduct. Additional Duties & Responsibilities: Additional Duties & Responsibilities: Minimum Qualifications: * 21 years of age. * Proof of authorization/eligibility to work in the United States. * Bachelor's degree in computer science, information systems, engineering, analytics, or related field is required; Master's degree preferred. * Must be able to obtain and maintain a Nevada Gaming Control Board registration and any other certification or license, as required by law or policy. * 3+ years of experience in building data pipelines and ETL processes is required. * 3+ years of experience in writing advanced SQL, data mining and working with traditional relational databases (tables, views, window functions, scalar and aggregate functions, primary/foreign keys, indexes DML/DDL statements, joins and unions) and/or distributed systems (Hadoop, Big Query) is required. * 1+ years of experience with programming/scripting languages such as Python or Big Query is required. Minimum Qualifications: * Hands-on experience using Git and working in a CI/CD development environment is preferred. * Excellent understanding of data types, data structures and database systems and their specific use cases is required. * Experience in Microsoft Azure, Google Cloud Platform, Databricks or other cloud-based development environments is required. * Ability to perform root cause analysis on external and internal processes and data to identify opportunities for improvement and answer questions. * Strong understanding of data modeling principles including Dimensional modelling, and Data Normalization principles is required. * Strong understanding of performance tuning, especially in cloud-based environments, is preferred. * Excellent critical thinker and effective problem solver with creative solutions. * Strong communication skills, especially for explaining technical concepts to nontechnical business leaders. Physical Requirements: Must be able to: * Lift or carry 10 pounds, unassisted, in the performance of specific tasks, as assigned. * Physically access all areas of the property and drive areas with or without a reasonable accommodation. * Maintain composure under pressure and consistently meet deadlines with internal and external customers and contacts. * Ability to interact appropriately and effectively with guests, management, other team members, and outside contacts. * Ability for prolonged periods of time to walk, stand, stretch, bend and kneel. * Work in a fast-paced and busy environment. * Work indoors and be exposed to various environmental factors such as, but not limited to, CRT, noise, dust, and cigarette smoke.

Since 2012, we've grown to become one of the leading single-family rental companies and homebuilders in the country, recently recognized as a top employer by Fortune and Great Place To Work. At AMH, our goal is to simplify the experience of leasing a home through professional management and maintenance support, so our residents can focus on what really matters to them, wherever they are in life. The Senior Data Engineer is responsible for designing, building, and managing the data platform and tools to allow for the efficient processing and analysis of large data sets. Develops and maintains scalable data pipelines, ensures data quality, and deploys machine learning models to production. Collaborates with business teams to improve data models that feed business intelligence tools, increasing data accessibility and fostering data-driven decision-making across the organization. Builds real-time and batch pipelines to handle large volumes of data efficiently. Collaborates with cross-functional teams and translate business requirements into scalable data solutions. Responsibilities: * Design, develop, and maintain real-time or batch data pipelines to process and analyze large volumes of data. Designs and develops programs and tools to support ingestion, curation, and provisioning of complex first party and third-party data to achieve analytics, reporting, and data science. Design and develop Advanced Data Products and Intelligent API's. Monitors the system performance by performing regular tests, troubleshoots, and integrates new features. * Lead in analysis of data and the design the data architecture to support BI, AI/ML and data products. * Designs and implements data platform architecture to meet organization analytical requirements. Ensures the solution designs address operational requirements such as scalability, maintainability, extensibility, flexibility, and integrity. * Provide technical leadership and mentorship to team members. Leads peer development and code reviews with focus on test driven development and Continuous Integration and Continuous Development (CICD). Requirements: * Bachelor's degree in computer science, information systems, data science, management information systems, mathematics, physics, engineering, statistics, economics, and/or a related field required. * Master's degree in computer science, information systems, data science, management information systems, mathematics, physics, engineering, statistics, economics, and/or a related field preferred. * Minimum of eight (8) years of experience as a data engineer with full-stack capabilities * Minimum of ten (10) years of Experience in programming * Minimum of five (5) years in Cloud technologies like Azure, Aws or Google. * Strong SQL Knowledge * Experience in ML and ML Pipeline a plus * Experience in real-time integration, developing intelligent apps and data products. * Proficiency in Python and experience with CI/CD practices * Strong background in IAAS platforms and infrastructure * Hands-on experience with Databricks, Spark, Fabric, or similar technologies * Experience in Agile methodologies * Hands-on experience in the design and development of data pipelines and data products * Experience in developing data ingestion, data processing, and analytical pipelines for big data, NoSQL, and data warehouse solutions. * Hands-on experience implementing data migration and data processing using Azure services: ADLS, Azure Data Factory, Event Hub, IoT Hub, Azure Stream Analytics, Azure Analysis Service, HDInsight, Databricks Azure Data Catalog, Cosmo Db, ML Studio, AI/ML, etc. * Extensive experience in Big Data technologies such as Apache Spark and streaming technologies such as Kafka, EventHub, etc. * Extensive experience in designing data applications in a cloud environment. * Intermediate experience in RESTful APIs, messaging systems, and AWS or Microsoft Azure. * Extensive experience in Data Architecture and data modeling * Expert in data analysis and data quality frameworks. * Knowledgeable with BI tools such as Power BI and Tableau. * May occasionally work evenings and/or weekends. Compensation The anticipated pay range/scale for this position is $121,116.00 to $151,395.00 Annually. Actual starting base pay within this range will depend on factors including geographic location, education, training, skills, and relevant experience. Additional Compensation This position is eligible to receive a discretionary annual bonus. Perks and Benefits Employees have the opportunity to participate in medical, dental and vision insurance; flexible spending accounts and/or health savings accounts; dependent savings accounts; 401(k) with company matching contributions; employee stock purchase plan; and a tuition reimbursement program. The Company provides 9 paid holidays per year, and, upon hire, new employees will accrue paid time off (PTO) at a rate of 0.0577 hours of PTO per hour worked, up to a maximum of 120 hours per year. CA Privacy Notice: To learn more about what information we collect when you apply for a job, and how we use that information, please see our CA Job Applicant Privacy Notice found at ************************************** #LI-PH1

We believe shopping should feel like winning. That's why 10 million people come to Slickdeals to swap tips, upvote the best finds, and share the thrill of a great deal. Together, our community has saved more than $10 billion over the past 26 years. We're profitable, passionate, and in the middle of an exciting evolution-transforming from the internet's most trusted deal forum into the go-to daily shopping destination. If you thrive in a fast-moving, creative environment where ideas turn into impact fast, you'll fit right in. The Purpose: We're seeking a seasoned Data Engineer to join our high-impact team at Slickdeals. This role will inherit and evolve a mature data ecosystem built over 3+ years, spanning Databricks, dbt, Airflow, AWS, Tableau, and AtScale. You'll be responsible for maintaining and modernizing core pipelines, enabling analytics and reporting, and supporting cost-conscious, scalable data infrastructure. What You'll Do: Own and maintain ETL/ELT pipelines using dbt, Airflow, and Databricks Develop and optimize data models in AtScale to support BI tools like Tableau Collaborate with Analytics, Product, and Engineering teams to deliver reliable, timely data Monitor and troubleshoot data workflows, ensuring high availability and performance Support cloud infrastructure in AWS, including S3, Kafka, EC2, Lambda, and IAM policies Contribute to cost optimization efforts across data storage, compute, and tooling Document systems, processes, and tribal knowledge for continuity and onboarding Participate in code reviews, architecture discussions, and team rituals What We're Looking For: Required Experience: BS/BA/BE degree in a quantitative area such as mathematics, statistics, economics, computer science, engineering, or equivalent experience. 8+ years of experience in data engineering or analytics engineering Strong proficiency in SQL, Python, and dbt Hands-on experience with Databricks, Airflow, and AWS Familiarity with semantic modeling tools Experience building dashboards and supporting BI teams using Tableau Understanding of data governance, security, and compliance best practices Excellent communication and documentation skills Comfortable working in a fast-paced, collaborative environment Always curious and a continuous learner Preferred Experience: Experience with cost monitoring tools or FinOps practices Familiarity with vendor integrations and API-based data sharing Exposure to AtScale, Tableau, or other modern data platforms Passion for mentoring and knowledge sharing Please note: We are unable to sponsor visas at this time. Candidates must be authorized to work in the U.S. without current or future visa sponsorship or transfer. LOCATION: Las Vegas, NV Hybrid schedule visiting our Las Vegas office three days a week (Tues-Thurs). Slickdeals Compensation, Benefits, Perks: The expected base pay for this role is between $122,000 - $150,000. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Exact compensation will be discussed during the interview process and tailored to the candidate's qualifications. Competitive base salary and annual bonus Competitive paid time off in addition to holiday time off A variety of healthcare insurance plans to give you the best care for your needs 401K matching above the industry standard Professional Development Reimbursement Program Work Authorization Candidates must be eligible to work in the United States. Slickdeals is an Equal Opportunity Employer; employment is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender (including pregnancy, childbirth, or related medical conditions), national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other protected status. Slickdeals will consider qualified applicants with criminal histories consistent with the "Ban the Box" legislation. We may access publicly available information as part of your application. Slickdeals participates in E-Verify. For more information, please refer to E-Verify Participation and Right to Work. Slickdeals does not accept unsolicited resumes from agencies and is not responsible for related fees.

Must Have Technical/Functional Skills * 5 + years of experience in Data Modeling & Data Analyst and should have excellent communication and leadership skills. Financial Domain knowledge is plus. * Should have strong understanding of cloud Datawarehouse like SnowFlake and Data modelling skill using Data Vault 2.0 . * Should have knowledge of SSIS ETL packages and need to analyze existing business logic and convert them into modern ELT approach. * Should have in depth understanding or executed new concepts like Data Lakehouse and should have worked on Big Data data sources / tools such as Hive , S3 , Trino , HUE , etc * Should have done complex (100+ entities/tables) Data Modeling programs in both on-prem and cloud environments . * Experience in designing normalized, denormalized, relational, dimensional, star and snowflake schemas for cloud, big data and on prem databases using any one of these data modeling tools (Erwin, ER/Studio, Toad Data Modeler, etc) * Extensive Data Modeling experience in same or similar bigdata and cloud databases such as Hive, Redshift, Snowflake and on prem databases such as Oracle, SQL Server and DB2 * Should have experience in working with product managers, project managers, business users, applications development team members, DBA teams and DataGovernance team on a daily basis to analyze requirements, design, development and deployment technical solutions. * Should have implemented Bill Inmon and Ralph Kimball methodologies to design data warehouses * Should have in depth understanding on Data Warehousing, Data Analysis, Data Profiling, Master Data Management (MDM), Data Quality, Data Lineage, DataDictionary, Data Mapping, Data Policy, and Data Governance. * Need to have at least 2 hours overlap with Pacific Timings to interact with Onsite team and to attend daily standup meetings . Roles & Responsibilities * Should have strong understanding of cloud Datawarehouse like SnowFlake and Data modelling skill using Data Vault 2.0 . * Should have knowledge of SSIS ETL packages and need to analyze existing business logic and convert them into modern ELT approach. * Should have in depth understanding or executed new concepts like Data Lakehouse and should have worked on Big Data data sources / tools such as Hive , S3 , Trino , HUE , etc * Should have done complex (100+ entities/tables) Data Modeling programs in both on-prem and cloud environments . * Experience in designing normalized, denormalized, relational, dimensional, star and snowflake schemas for cloud, big data and on prem databases using any one of these data modeling tools (Erwin, ER/Studio, Toad Data Modeler, etc) Salary Range- $100,000-$130,000 a year

We at Andmore are seeking a technically skilled and business-aware Data Architect to lead the development of scalable data infrastructure that powers B2B marketing analytics and decision-making. This role requires deep expertise in Snowflake and the ability to collaborate with marketing technology teams, front-end developers, and CRM specialists to deliver data solutions that support customer engagement and internal operations. Key Responsibilities: * Design and optimize data pipelines and models using DBT and Snowflake, tailored to B2B marketing use cases. * Design and implement logical and physical data models (e.g., dimensional modeling) to represent analytics use-cases. * Lead technical discussions with front-end developers (e.g., Power BI specialists), marketing analysts, and CRM engineers to ensure data structures support reporting and analytics needs. * Collaborate with marketing operations and CRM teams (Microsoft Dynamics) to integrate and harmonize data across platforms, enabling unified customer views and actionable insights. * Translate functional marketing requirements into technical specifications by asking targeted questions and proposing scalable data architecture solutions. * Implement data governance and metadata management using tools like Snowflake or Microsoft Purview, ensuring compliance and transparency. * Support self-service analytics and dashboarding through Power BI, enabling marketing teams to explore campaign performance and audience behavior. * Monitor and troubleshoot data workflows, ensuring high availability, data quality, and performance across marketing data assets. * Contribute to the evolution of the marketing data stack, including experimentation with new tools and architecture patterns. Required Qualifications: * Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field. * 7+ years of experience in data engineering, with a strong focus on cloud-based data platforms and data modeling. * Proven expertise in Snowflake. * Strong SQL skills and experience with dimensional modeling for marketing and activity data. * Experience working with marketing data sources such as CRM, web analytics, and campaign management platforms. * Excellent communication skills, with a focus on technical collaboration across teams. * Ability to design and implement scalable data architecture solutions. Recommended Skills & Tools: * Familiarity with Snowflake or Microsoft Purview for data governance and cataloging. * Experience integrating data from Microsoft Dynamics and other B2B Marketing platforms. * Experience with DBT for data transformations * Working knowledge of Power BI for dashboarding and reporting. * Understanding of data privacy, compliance (e.g., GDPR), and security best practices. * Strategic thinker with a proactive approach to problem-solving. * Strong interpersonal and technical collaboration skills. * Passion for continuous learning and staying current with data engineering trends.

The Associate Compliance Data Engineer is a diligent teammate who collaborates with cross-functional stakeholders-including Studios, Operations, Supply Chain, ERP, Marketing, D&D, Product Compliance, and Finance-to ensure accurate data entry and effective communication. Responsible for entering product information (games, platforms, OS, firmware, peripherals, Signs, etc.) into M2K, D365, Team Center, or relevant systems. Supports the Tech Admin Quality team by identifying gaps, risks, and priorities to ensure clear and complete submissions to Product Compliance. What You'll Do * Enter accurate, complete, and consistent component data in ERP/SSOT within 48 hours * Maintain accurate entries as needed * Release ECO upon submission of the package completion * Lead ERP meetings and support the ERB chairperson with strategic feedback * Respond to all departmental, regulator, and casino queries within 24 hours * Redirect out-of-scope inquiries and provide timely status updates when answers are delayed * Identify and document process improvements aligned with Product Compliance * Call out barriers and manage work amid shifting priorities or disruptions * Assist with signing manifests, producing game sets, compiling games, and burning software for submissions/trade shows What We're Looking For * Minimum of 1 year experience in a software development environment or equivalent experience in Software Quality Assurance with a focus on Compliance Regulations. * Familiar with various applications, such as: M2K (ERP/SSOT); Teamcenter, Microsoft Office Programs, Jira, SharePoint, and Salesforce. * Demonstrates adaptability in a multifaceted environment and recognizes the importance of urgency when required. * Skill with looking into, analyzing, and understanding current and upcoming Compliance requirements. * Accurately analyze situations, finding solutions, and solving challenges * Ensures that all submission assets and activities within the department align with relevant laws, regulations, policies, and procedures pertinent to this role. * Skill in identifying information requirements, capturing and analyzing data for formal submission reporting and publication. * Capable of responding to growing demands and adjusting to frequently shifting priorities. * This position calls for a driven and detail-focused person who can tackle problems involving various priorities and investigate any conflicting or incorrect information. * Strong understanding and operational proficiency in the specific area of product focus. * Capable of exercising independent judgment and effectively communicating information to various team members. * Ability to read and understand the studio specs and math documents * Strong written, verbal, and interpersonal skills, and the ability to effectively communicate with a wide range of stakeholders in a diverse community. * Must be a team player, able to work independently with minimal direction, and work under tight, prioritized deadlines Why Aristocrat? Aristocrat is a world leader in gaming content and technology, and a top-tier publisher of free-to-play mobile games. We deliver great performance for our B2B customers and bring joy to the lives of the millions of people who love to play our casino and mobile games. And while we focus on fun, we never forget our responsibilities. We strive to lead the way in responsible gameplay, and to lift the bar in company governance, employee wellbeing and sustainability. We're a diverse business united by shared values and an inspiring mission to bring joy to life through the power of play. We aim to create an environment where individual differences are valued, and all employees have the opportunity to realize their potential. We welcome and encourage applications from all people regardless of age, gender, race, ethnicity, cultural background, disability status or LGBTQ+ identity. EEO M/F/D/V * World Leader in Gaming Entertainment * Robust benefits package * Global career opportunities Our Values * All about the Player * Talent Unleashed * Collective Brilliance * Good Business Good Citizen Travel Expectations None Pay Range $47,775 - $88,725 per year Our goal is to pay a market competitive salary focusing near the median of our pay ranges. However, final offers for all positions will be based on several factors such as experience level, education, skills, work location, and internal pay equity. This position offers a comprehensive benefits package, including health, dental, and vision insurance, paid time off, and a 401(k) plan with employer matching, more details available at ************************* Additional Information This role is subject to mandatory background screening and regulatory approvals. As part of your employment with Aristocrat, you may be required to complete a criminal background check, submit fingerprints, and obtain licenses or registrations with applicable gaming regulatory authorities. Aristocrat operates in a highly regulated environment and holds licenses in over 340 gaming jurisdictions worldwide. To meet our global compliance obligations, you will be required to provide the disclosure of relevant personal and background information to government agencies, sovereign nations/tribal regulators, and other applicable gaming regulatory bodies. This is a condition of Aristocrat's gaming licenses. The specific information required may vary depending on the jurisdiction and project assignment. At this time, we are unable to sponsor work visas for this position. Candidates must be authorized to work in the job posting location for this position on a full-time basis without the need for current or future visa sponsorship.

At DraftKings, AI is becoming an integral part of both our present and future, powering how work gets done today, guiding smarter decisions, and sparking bold ideas. It's transforming how we enhance customer experiences, streamline operations, and unlock new possibilities. Our teams are energized by innovation and readily embrace emerging technology. We're not waiting for the future to arrive. We're shaping it, one bold step at a time. To those who see AI as a driver of progress, come build the future together. The Crown Is Yours Our Sports Modeling team comprises sports modeling experts and data science technologists, coming together to develop innovative products that deliver incremental value across our Sportsbook platform. As a Senior Data Scientist on the Sports Modeling team, you will develop models and data-driven solutions that enhance the Sportsbook experience for our users. In this role, you will work on implementing advanced sports models, refining data assets, and ensuring seamless integration into applications. What you'll do as a Senior Data Scientist, Football Create statistical and machine learning models and integrate them into data science applications. Collect and engineer sports data assets to assist in model development. Implement the sports models and pricing engines in Python. Create automatic tests to ensure model and pricing engine accuracy. Collaborate closely with Trading, Product, Engineering, and QA teams to move projects from ideation to deployment. Test data flows and model integration in a larger business context. Coach and support more junior data scientists within the team. What you'll bring Demonstrated passion for sports and a strong understanding of relevant leagues and their dynamics. A college degree in Statistics, Data Science, Mathematics, Computer Science, Engineering, or another related field. Proficiency in Python, with experience building statistical or machine learning models across various sports. Solid grasp of data science principles, statistical modeling techniques, and object-oriented programming concepts. Familiarity with tools and practices such as Kubernetes, Kafka, version control, and MLOps principles. Self-motivation and eagerness to expand knowledge and understanding of Sportsbook products and related technologies. Join Our Team We're a publicly traded (NASDAQ: DKNG) technology company headquartered in Boston. As a regulated gaming company, you may be required to obtain a gaming license issued by the appropriate state agency as a condition of employment. Don't worry, we'll guide you through the process if this is relevant to your role. The US base salary range for this full-time position is 120,800.00 USD - 151,000.00 USD, plus bonus, equity, and benefits as applicable. Our ranges are determined by role, level, and location. The compensation information displayed on each job posting reflects the range for new hire pay rates for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific pay range and how that was determined during the hiring process. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

The primary responsibility of the Senior Data Infrastructure Architect is to bridge the gap between business problems and technology solutions while creating architecture implementation plans and developing risk assessment of related applications. Qualifications: 10 years in Software specific technologies Microsoft technologies and frameworks, e.g., SQL Server, ASP.NET MVC, WCF, Web API. Web services (SOAP, RESTful). Concepts of Object-Oriented Design, CMS Integration, Web Application Security. Experience in integrating with Cloud technologies, Platform (PaaS) & Application (SaaS). Experience in designing UML diagrams. 10 years in Data specific technologies OLTP and OLAP data solutions leveraging MDM, BI and data warehouse development techniques. Understanding of the differences between relational and object modeling. Data modeling - Relational Database Design; Dimensional Database Design; Hub and Spoke Database Design. ETL and Data integration techniques. Experience in designing UML diagrams. Demonstrated experience of working in a highly regulated environment (MICS, PCI, SOX). Training and experience with ITSM practices. Working knowledge of Architectural Principles and Design methodologies. Strong interpersonal skills with the ability to communicate effectively with guests and other Team Members of different backgrounds and levels of experience. 21 years of age. Proof of authorization/eligibility to work in the United States. Bachelor's degree in MIS or similar technical program or acceptable industry and work experience. Must be able to obtain and maintain a Nevada Gaming Control Board Registration and any other certification or license, as required by law or policy. Responsibilities: Oversee the process for choosing, buying or building technology solutions. Review project concepts and proposals and develops appropriate technical designs to facilitate integration into the enterprise architecture. Technical designs include software, systems, storage, virtualization, logical and physical networks and security strategies to comply with established standards and meet the requirements of the organization. Manage and prioritize the allocation of work (projects and service requests) across the team and deliver them within the defined scope, schedule, and budget. Perform product reviews, technology evaluations and service delivery considerations. Ensure the availability, reliability, integrity, and efficient operation of the enterprise IT architecture is sustained. Act as project lead in the design and review of new technology. Conduct capacity planning as needed. Conduct research on products, solutions, services, architecture designs, and standards remain abreast of developments in the technology industry. Establish and implement design principles, policies, and strategies to ensure the security and integrity of the enterprise technology environment. Prepare design documentations, illustrations and white papers to support design decisions. Perform all work in a manner to ensure interoperability and maintain compliance of enterprise computing systems. Ensure that proposed and existing technology and security architectures are aligned with organizational goals and objectives. Develop, document, communicate, and enforce a policy for standardizing infrastructure configuration standards. Provide recommendations to senior or executive IT management regarding product/vendor selection, technology evolution, and design strategies. Provide root cause analysis, developing and executing corrective action plans for resolution of complex technical issues related to platform and service performance disruptions.

Deloitte is at the leading edge of GenAI innovation, transforming Strategic Analytics and shaping the future of Finance. We invite applications from highly skilled and experienced Lead Data Scientists ready to drive the development of our next-generation GenAI solutions. The Team Strategic Analytics is a dynamic part of our Finance FP&A organization, dedicated to empowering executive leaders across the firm, as well as our partners in financial and operational functions. Our team harnesses the power of cloud computing, data science, AI, and strategic expertise-combined with deep institutional knowledge-to deliver insights that inform our most critical business decisions and fuel the firm's ongoing growth. GenAI is at the forefront of our innovation agenda and a key strategic priority for our future. We are rapidly developing groundbreaking products and solutions poised to transform both our organization and our clients. As part of our team, the selected candidate will play a pivotal role in driving the success of these high-impact initiatives. Recruiting for this role ends on December 14, 2025 Work You'll Do Client Engagement & Solution Scoping * Partner with stakeholders to analyze business requirements, pain points, and objectives relevant to GenAI use cases. * Facilitate workshops to identify, prioritize, and scope impactful GenAI applications (e.g., text generation, code synthesis, conversational agents). * Clearly articulate GenAI's value proposition, including efficiency gains, risk mitigation, and innovation. * Solution Architecture & Design * Architect holistic GenAI solutions, selecting and customizing appropriate models (GPT, Llama, Claude, Zora AI, etc.). * Design scalable integration strategies for embedding GenAI into existing client systems (ERP, CRM, KM platforms). * Define and govern reliable, ethical, and compliant data sourcing and management. Development & Customization * Lead model fine-tuning, prompt engineering, and customization for client-specific needs. * Oversee the development of GenAI-powered applications and user-friendly interfaces, ensuring robustness and exceptional user experience. * Drive thorough validation, testing, and iteration to ensure quality and accuracy. Implementation, Deployment & Change Management * Manage solution rollout, including cloud setup, configuration, and production deployment. * Guide clients through adoption: deliver training, create documentation, and provide enablement resources for users. Risk, Ethics & Compliance * Lead efforts in responsible AI, ensuring safeguards against bias, privacy breaches, and unethical outcomes. * Monitor performance, implement KPIs, and manage model retraining and auditing processes. Stakeholder Communication * Prepare executive-level reports, dashboards, and demos to summarize progress and impact. * Coordinate across internal teams, tech partners, and clients for effective project delivery. Continuous Improvement & Thought Leadership * Stay current on GenAI trends, best practices, and emerging technologies; share insights across teams. * Mentor junior colleagues, promote knowledge transfer, and contribute to reusable methodologies. Qualifications Required: * Bachelor's or Master's degree in Computer Science, Engineering, Data Science, Mathematics, or related field. * 5+ years of hands-on experience delivering machine learning or AI solutions, preferably including generative AI. * Independent thinker who can create the vision and execute on transforming data into high end client products. * Demonstrated accomplishments in the following areas: * Deep understanding of GenAI models and approaches (LLMs, transformers, prompt engineering). * Proficiency in Python (PyTorch, TensorFlow, HuggingFace), Databricks, ML pipelines, and cloud-based deployment (Azure, AWS, GCP). * Experience integrating AI into enterprise applications, building APIs, and designing scalable workflows. * Knowledge of solution architecture, risk assessment, and mapping technology to business goals. * Familiarity with agile methodologies and iterative delivery. * Commitment to responsible AI, including data ethics, privacy, and regulatory compliance. * Ability to travel 0-10%, on average, based on the work you do and the clients and industries/sectors you serve * Limited immigration sponsorship may be available. Preferred: * Relevant Certifications: May include Google Cloud Professional ML Engineer, Microsoft Azure AI Engineer, AWS Certified Machine Learning, or specialized GenAI/LLM credentials. * Experience with data visualization tools such as Tableau The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $102,500 - $188,900. You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance. Information for applicants with a need for accommodation ************************************************************************************************************ EA_FA_ExpHire Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Benefits At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Our purpose Deloitte's purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Learn more. Professional development From entry-level employees to senior leaders, we believe there's always room to learn. We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career. As used in this posting, "Deloitte" means Deloitte Services LP, a subsidiary of Deloitte LLP. Please see ************************* for a detailed description of the legal structure of Deloitte LLP and its subsidiaries. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law. Requisition code: 316523 Job ID 316523

At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. **AI & Data - Data Engineer - Senior Manager** EY delivers unparalleled tech consulting services in data strategy, business intelligence, digital, machine learning and Artificial Intelligence. We support and enable big ideas, always with the ambitions to keep doing more. **The Opportunity:** You will help our clients enable better business outcomes. You will have the opportunity to lead and develop your skill set to keep up with the ever-growing demands of the modern data platform. During implementation you will solve complex analytical problems to bring data to insights and enable the use of ML and AI at scale for your clients. This is a high growth area and a high visibility role with plenty of opportunities to enhance your skillset and build your career. As a Senior Manager in our AI and Data practice, you will lead data engineering initiatives, driving the design and implementation of robust data solutions for our clients. You will manage a team of data engineers, collaborating with cross-functional teams to deliver high-quality data products that support advanced analytics and AI applications. **Key Responsibilities:** In this pivotal role, you will be responsible for the effective management and delivery of one or more processes, solutions, and projects, with a focus on quality and effective risk management. You will drive continuous process improvement and identify innovative solutions through research, analysis, and best practices. Managing professional employees or supervising team members to deliver complex technical initiatives, you will apply your depth of expertise to guide others and interpret internal/external issues to recommend quality solutions. Your responsibilities will include: + Lead the development and optimization of data pipelines and architectures to ensure efficient data processing and integration. + Oversee the design and implementation of data models, ensuring data quality and accessibility. + Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and translate them into technical specifications. + Manage project timelines, budgets, and resources, ensuring successful delivery of data engineering projects. + Mentor and develop junior team members, fostering a culture of innovation and continuous improvement. + Engage with clients to understand their business needs, providing strategic insights and solutions that align with their goals. + Develop and execute go-to-market strategies for data engineering services, identifying opportunities for growth and innovation. + Stay current with industry trends and emerging technologies in data engineering and AI. **Skills and attributes for success** To thrive in this role, you will need a combination of technical and business skills that will make a significant impact. Your skills will include: + Technical Skills Applications Integration + Data Engineering and Modelling + Data Integration and Data Quality + Become a trusted advisor to your clients' senior decision makers and internal EY teams by establishing credibility and expertise in both data strategy in general and in the use of analytic technology solutions to solve business problems. + Engage with senior business leaders to understand and shape their goals and objectives and their corresponding information needs and analytic requirements. + Collaborate with cross-functional teams (Data Scientists, Business Analysts, and IT teams) to define data requirements, design solutions, and implement data strategies that align with our clients' objectives. + Organize and lead workshops and design sessions with stakeholders, including clients, team members, and cross-functional partners, to capture requirements, understand use cases, personas, key business processes, brainstorm solutions, and align on data architecture strategies and projects. + Direct and mentor global data engineering teams, fostering a culture of innovation, collaboration, and continuous improvement. + Establish data governance policies and practices, including data security, quality, and lifecycle management. + Stay abreast of industry trends and emerging technologies in data architecture and management, recommending innovations and improvements to enhance our capabilities. **To qualify for the role, you must have** + Bachelor's or Master's degree in Computer Science, Data Science, or a related field. + 10+ years professional consulting experience in industry or in technology consulting. + 10+ years of hands-on work experience in data engineering, with a strong background in data architecture, ETL processes, and data warehousing. + 3+ years' experience with native cloud products and services such as AWS, Azure or GCP. + 5+ years of experience mentoring and leading teams of data engineers, fostering a culture of innovation and professional development. + Proficiency in programming languages such as Python, Java, or Scala, and experience with big data technologies (e.g., Hadoop, Spark). + Demonstrated experience in leading large data engineering teams to design and build platforms with complex architectures and diverse features including various data flow patterns, relational and no-SQL databases, production-grade performance, and delivery to downstream use cases and applications. + Manage complex data analysis, migration, and integration of enterprise solutions to modern platforms, including code efficiency and performance optimizations. + Previous hands-on coding skills in languages commonly used in data engineering, such as Python, Java, or Scala. + Ability to design data solutions that can scale horizontally and vertically while optimizing performance. + Excellent client management skills, with the ability to build and maintain strong relationships with stakeholders. + Experience in developing and executing go-to-market strategies for data and AI solutions. + Knowledge of machine learning concepts and frameworks, with the ability to integrate AI capabilities into data engineering processes. + Excellent leadership, communication, and project management skills. + Data Security and Database Management + Enterprise Data Management and Metadata Management **Ideally, you'll also have** + Master's degree in computer science, Management Information Systems, Informatics, Statistics, Applied Mathematics, Data Science, Machine Learning or commensurate professional experience. + Experience in cloud platforms (e.g., AWS, Azure, Google Cloud) and data visualization tools. + Experience in leading and influencing teams, with a focus on mentorship and professional development. + A passion for innovation and the strategic application of emerging technologies to solve real-world challenges. + The ability to foster an inclusive environment that values diverse perspectives and empowers team members. + Building and Managing Relationships + Client Trust and Value and Commercial Astuteness + Communicating With Impact and Digital Fluency **What we look for** We are looking for top performers who demonstrate a blend of technical expertise and business acumen, with the ability to build strong client relationships and lead teams through change. Emotional agility and hybrid collaboration skills are key to success in this dynamic role. **What we offer you** At EY, we'll develop you with future-focused skills and equip you with world-class experiences. We'll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more . + We offer a comprehensive compensation and benefits package where you'll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $144,000 to $329,100. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $172,800 to $374,000. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options. + Join us in our team-led and leader-enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year. + Under our flexible vacation policy, you'll decide how much vacation time you need based on your own personal circumstances. You'll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being. **Are you ready to shape your future with confidence? Apply today.** EY accepts applications for this position on an on-going basis. For those living in California, please click here for additional information. EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities. **EY | Building a better working world** EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories. EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law. EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY's Talent Shared Services Team (TSS) or email the TSS at ************************** .

Description & Requirements Maximus is looking for an experienced Data Architect to lead the design and implementation of modern, scalable DevOps solutions. In this role, you'll drive automation, containerization, and continuous delivery practices across enterprise systems. If you're a technical expert with a passion for innovation, collaboration, and building high-performing environments, join us and help shape the future of digital transformation. ***This is a fully remote position. Requires 10% travel. 100% mileage reimbursed at federal rate*** Why Join Maximus? - • Competitive Compensation - Quarterly bonuses based on performance included! - • Comprehensive Insurance Coverage - Choose from various plans, including Medical, Dental, Vision, Prescription, and partially funded HSA. Additionally, enjoy Life insurance benefits and discounts on Auto, Home, Renter's, and Pet insurance. - • Future Planning - Prepare for retirement with our 401K Retirement Savings plan and Company Matching. - • Unlimited Time Off Package - Enjoy UTO, Holidays, and sick leave, - • Holistic Wellness Support - Access resources for physical, emotional, and financial wellness through our Employee Assistance Program (EAP). - • Recognition Platform - Acknowledge and appreciate outstanding employee contributions. - • Tuition Reimbursement - Invest in your ongoing education and development. - • Employee Perks and Discounts - Additional benefits and discounts exclusively for employees. - • Maximus Wellness Program and Resources - Access a range of wellness programs and resources tailored to your needs. - • Professional Development Opportunities- Participate in training programs, workshops, and conferences. Essential Duties and Responsibilities: - Define, develop, and implement the configuration management system which supports the enterprise software development life cycle (SDLC). - Manage source code within the Version Control System (branching, sync, merge, etc.), compile, assemble, and package software from source code; mentor less senior team members in this discipline. - Work with client to perform and validate installations, upgrades, deployments, and containers. - Define and provide guidance on standards and best practices. - Develop automation scripts for build, deployment, and versioning activities; mentor less senior team members in this discipline. - Research and resolve technical problems associated with the version control and continuous integration systems. - Typically responsible for providing guidance, coaching, and training to other employees within job area. Minimum Requirements - Bachelor's degree in relevant field of study and 7+ years of relevant professional experience required, or equivalent combination of education and experience. -Database management experience preferred - M.M.I.S. experience preferred - Data conversion experience preferred -Technical leadership experience preferred -Technical oversight experience preferred #LI-Remote EEO Statement Maximus is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information and other legally protected characteristics. Pay Transparency Maximus compensation is based on various factors including but not limited to job location, a candidate's education, training, experience, expected quality and quantity of work, required travel (if any), external market and internal value analysis including seniority and merit systems, as well as internal pay alignment. Annual salary is just one component of Maximus's total compensation package. Other rewards may include short- and long-term incentives as well as program-specific awards. Additionally, Maximus provides a variety of benefits to employees, including health insurance coverage, life and disability insurance, a retirement savings plan, paid holidays and paid time off. Compensation ranges may differ based on contract value but will be commensurate with job duties and relevant work experience. An applicant's salary history will not be used in determining compensation. Maximus will comply with regulatory minimum wage rates and exempt salary thresholds in all instances. Accommodations Maximus provides reasonable accommodations to individuals requiring assistance during any phase of the employment process due to a disability, medical condition, or physical or mental impairment. If you require assistance at any stage of the employment process-including accessing job postings, completing assessments, or participating in interviews,-please contact People Operations at **************************. Minimum Salary $ 150,000.00 Maximum Salary $ 175,000.00