Data engineer jobs in Greece, NY - 135 jobs

As an Advanced Data Scientist here at Honeywell, you will be responsible for providing technical insight and acting as the subject matter expert in machine learning, statistical modeling, and data analysis projects. You will work closely with leadership to translate business needs into data science solutions. You will be responsible for contributing to the continuous improvement of methodologies and explore new approaches to enhance analytical capabilities. In this role, you will impact the business by applying your expertise in machine learning, statistical modeling, and data analysis to develop and implement advanced algorithms and analytical solutions. You will manage end-to-end data science projects, ensuring alignment with business objectives and the successful delivery of actionable insights. Additionally, you will provide mentorship and guidance to junior data scientists, fostering a collaborative and innovative team culture. YOU MUST HAVE Bachelor's degree from an accredited institution in a technical discipline such as the sciences, technology, engineering or mathematics. BS or MS in an appropriate technology field (Computer Science, Statistics, Applied Math, etc.) At least 5 years of experience in modern advanced analytical tools and programming languages, including Python. Proficiency with exploratory data analysis Proficiency with ETL operations sourcing data from SQL, REST APIs, and flat files Experience with data visualization technologies, such as Power BI, Tableau, matplotlib, Excel, etc. At least 5 years of experience in traditional programming languages such as Python, JavaScript, TypeScript, C or C# Comfortable in Windows and Linux environments WE VALUE BS or MS in an appropriate technology field (Computer Science, Statistics, Applied Math, etc.) Experience in building generative AI applications leveraging embeddings, LLMs, VLMs, vector databases, data source APIs, and agentic patterns/frameworks Experience in various deployment topologies including on-premises, hybrid, and cloud for production generative AI applications Experience in building predictive and decision-making AI applications. Experience using cloud services from AWS, Azure, or GCP to develop solutions. Experience in computer vision and image/video analysis, including object detection, recognition, tracking, and identification Experience with application of data mining algorithms and statistical modeling techniques such as clustering, classification, regression, decision trees, neural networks, SVMs, anomaly detection, recommender systems, pattern discovery, and text mining Problem Solving: Ability to solve problems using analytical thinking, reconciling viewpoints, and evaluating technologies. Communication: Demonstrates effective verbal and written communication skills when explaining complex technical issues to both technical and non-technical audiences Continuous learning mindset The annual base salary range for this position is $124,000 - $155,000. Please note that this salary information serves as a general guideline. Honeywell considers various factors when extending an offer, including but not limited to the scope and responsibilities of the position, the candidate's work experience, education and training, key skills, as well as market and business considerations. In addition to a competitive salary, leading-edge work, and developing solutions side-by-side with dedicated experts in their fields, Honeywell employees are eligible for a comprehensive benefits package. This package includes employer subsidized Medical, Dental, Vision, and Life Insurance; Short-Term and Long-Term Disability; 401(k) match, Flexible Spending Accounts, Health Savings Accounts, EAP, and Educational Assistance; Parental Leave, Paid Time Off (for vacation, personal business, sick time, and parental leave), and 12 Paid Holidays. For more information visit: Benefits at Honeywell The application period for the job is estimated to be 40 days from the job posting date; however, this may be shortened or extended depending on business needs and the availability of qualified candidates. Job Posting Date: 1/14/2026 Key Responsibilities Participate in extending product capabilities through development and deployment of analytical systems leveraging data mining, generative AI, and ML techniques. Interact with 3 rd parties to evaluate integration feasibility and licensing of technologies and analytic components Design, prototyping, and implementation of new data-centric solutions Effectively communicate and collaborate with local teams, international teams, and 3 rd parties Contribute to build versus buy decisions Work closely with members of Product Management, New Product Development, Quality Assurance, and end users as may be necessary to bring solutions to life Self-starter that can take minimal direction and deliver results Curious problem solver

At CVS Health, we're building a world of health around every consumer and surrounding ourselves with dedicated colleagues who are passionate about transforming health care. As the nation's leading health solutions company, we reach millions of Americans through our local presence, digital channels and more than 300,000 purpose-driven colleagues - caring for people where, when and how they choose in a way that is uniquely more connected, more convenient and more compassionate. And we do it all with heart, each and every day. Position SummaryWe're seeking a Sr. Data Engineer to design and implement data pipelines that power analytical capabilities. This hands-on role requires an understanding of data engineering best practices and the ability to translate business requirements into technical solutions. You will be part of a dedicated team creating datasets for financial and analytic workloads. Key Responsibilities:Data Pipeline Development: Design and build ETL/ELT data pipelines to ingest, process, and transform large datasets from multiple sources. Performance Optimization: Implement best practices for performance tuning, partitioning, and clustering to optimize data queries and reduce costs. Data Quality & Governance: Establish and enforce data quality standards, data governance frameworks, and security policies for data storage and access. Data Modeling & Architecture: Develop and optimize data models and schemas to support analytics, reporting, and machine learning requirements. Data Integration & Transformation: Collaborate with data scientists and analysts to design data solutions that integrate with BI tools and machine learning models. Documentation & Knowledge Sharing: Create comprehensive documentation for data pipelines, workflows, and processes. Share best practices and mentor junior data engineers. Design and architect data infrastructure analytical workloads. Required Qualifications5+ years of applicable work experience Proficiency in Python, specifically with ETL pipelines. Strong proficiency in SQL and experience in developing complex queries. Familiarity with py Spark, DBT, or other similar frameworks. Experience deploying data pipelines in a cloud environment (Azure, AWS, GCP). Understanding of data warehousing concepts, dimensional modeling, and building data marts. Excellent communication and interpersonal skills, with the ability to collaborate effectively with data scientists, analysts, and product owners. Preferred QualificationsKnowledge of data governance best practices in a cloud environment. Experience with data design in BigQueryExperience working with the Epic data model. Experience working with healthcare data (Claims and Admissions) Education and ExperienceCollege degree or certification in related fields Anticipated Weekly Hours40Time TypeFull time Pay RangeThe typical pay range for this role is:$83,430. 00 - $222,480. 00This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong. Great benefits for great people We take pride in our comprehensive and competitive mix of pay and benefits - investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include:Affordable medical plan options, a 401(k) plan (including matching company contributions), and an employee stock purchase plan. No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching. Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility. For more information, visit ************* cvshealth. com/us/en/benefits We anticipate the application window for this opening will close on: 01/27/2026Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.

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 - Senior** We are seeking a highly skilled Senior Consultant Data Engineer with expertise in cloud data engineering, specifically Databricks. The ideal candidate will have strong client management and communication skills, along with a proven track record of successful end-to-end implementations in data engineering projects. **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 technical requirements align with business needs. Your responsibilities will include creating scalable data architecture and modeling solutions that support the entire data asset lifecycle. **Your key responsibilities** As a Senior Data Engineer, you will play a pivotal role in transforming data into actionable insights. Your time will be spent on various responsibilities, including: + Designing, building, and operating scalable on-premises or cloud data architecture. + Analyzing business requirements and translating them into technical specifications. + Optimizing data flows for target data platform designs. + Design, develop, and implement data engineering solutions using Databricks on cloud platforms (e.g., AWS, Azure, GCP). + Collaborate with clients to understand their data needs and provide tailored solutions that meet their business objectives. + Lead end-to-end data pipeline development, including data ingestion, transformation, and storage. + Ensure data quality, integrity, and security throughout the data lifecycle. + Provide technical guidance and mentorship to junior data engineers and team members. + Communicate effectively with stakeholders, including technical and non-technical audiences, to convey complex data concepts. + Manage client relationships and expectations, ensuring high levels of satisfaction and engagement. + Stay updated with the latest trends and technologies in data engineering and cloud computing. This role offers the opportunity to work with cutting-edge technologies and stay ahead of industry trends, ensuring you gain a competitive advantage in the market. The position may require regular travel to meet with external clients. **Skills and attributes for success** To thrive in this role, you will need a blend of technical and interpersonal skills. Your ability to communicate effectively and build relationships will be crucial. Here are some key attributes we look for: + Strong analytical and decision-making skills. + Proficiency in cloud computing and data architecture design. + Experience in data integration and security. + Ability to manage complex problem-solving scenarios. **To qualify for the role, you must have** + A Bachelor's degree in Computer Science, Engineering, or a related field required (4-year degree). Master's degree preferred + Typically, no less than 2 - 4 years relevant experience in data engineering, with a focus on cloud data solutions. + 5+ years of experience in data engineering, with a focus on cloud data solutions. + Expertise in Databricks and experience with Spark for big data processing. + Proven experience in at least two end-to-end data engineering implementations, including: + Implementation of a data lake solution using Databricks, integrating various data sources, and enabling analytics for business intelligence. + Development of a real-time data processing pipeline using Databricks and cloud services, delivering insights for operational decision-making. + Strong programming skills in languages such as Python, Scala, or SQL. + Experience with data modeling, ETL processes, and data warehousing concepts. + 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 Senior Consulting Projects:** + **Strategic Thinking:** Ability to align data engineering solutions with business strategies and objectives. + **Project Management:** Experience in managing multiple projects simultaneously, 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. **Ideally, you'll also have** + Experience with data quality management. + Familiarity with semantic layers in data architecture. + 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. You should be adaptable, collaborative, and driven by a desire to achieve excellence in every project you undertake. 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 $106,900 to $176,500. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $128,400 to $200,600. 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 ************************** .

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 - Senior We are seeking a highly skilled Senior Consultant Data Engineer with expertise in cloud data engineering, specifically Databricks. The ideal candidate will have strong client management and communication skills, along with a proven track record of successful end-to-end implementations in data engineering projects. 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 technical requirements align with business needs. Your responsibilities will include creating scalable data architecture and modeling solutions that support the entire data asset lifecycle. Your key responsibilities As a Senior Data Engineer, you will play a pivotal role in transforming data into actionable insights. Your time will be spent on various responsibilities, including: Designing, building, and operating scalable on-premises or cloud data architecture. Analyzing business requirements and translating them into technical specifications. Optimizing data flows for target data platform designs. Design, develop, and implement data engineering solutions using Databricks on cloud platforms (e.g., AWS, Azure, GCP). Collaborate with clients to understand their data needs and provide tailored solutions that meet their business objectives. Lead end-to-end data pipeline development, including data ingestion, transformation, and storage. Ensure data quality, integrity, and security throughout the data lifecycle. Provide technical guidance and mentorship to junior data engineers and team members. Communicate effectively with stakeholders, including technical and non-technical audiences, to convey complex data concepts. Manage client relationships and expectations, ensuring high levels of satisfaction and engagement. Stay updated with the latest trends and technologies in data engineering and cloud computing. This role offers the opportunity to work with cutting-edge technologies and stay ahead of industry trends, ensuring you gain a competitive advantage in the market. The position may require regular travel to meet with external clients. Skills and attributes for success To thrive in this role, you will need a blend of technical and interpersonal skills. Your ability to communicate effectively and build relationships will be crucial. Here are some key attributes we look for: Strong analytical and decision-making skills. Proficiency in cloud computing and data architecture design. Experience in data integration and security. Ability to manage complex problem-solving scenarios. To qualify for the role, you must have A Bachelor's degree in Computer Science, Engineering, or a related field required (4-year degree). Master's degree preferred Typically, no less than 2 - 4 years relevant experience in data engineering, with a focus on cloud data solutions. 5+ years of experience in data engineering, with a focus on cloud data solutions. Expertise in Databricks and experience with Spark for big data processing. Proven experience in at least two end-to-end data engineering implementations, including: Implementation of a data lake solution using Databricks, integrating various data sources, and enabling analytics for business intelligence. Development of a real-time data processing pipeline using Databricks and cloud services, delivering insights for operational decision-making. Strong programming skills in languages such as Python, Scala, or SQL. Experience with data modeling, ETL processes, and data warehousing concepts. 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 Senior Consulting Projects: Strategic Thinking: Ability to align data engineering solutions with business strategies and objectives. Project Management: Experience in managing multiple projects simultaneously, 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. Ideally, you'll also have Experience with data quality management. Familiarity with semantic layers in data architecture. 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. You should be adaptable, collaborative, and driven by a desire to achieve excellence in every project you undertake. 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 $106,900 to $176,500. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $128,400 to $200,600. 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 **************************.

Founded in 1994 and celebrating 30 years in business, Mindex is a software development company with a rich history of demonstrated software and product development success. We specialize in agile software development, cloud professional services, and creating our own innovative products. We are proud to be recognized as the #1 Software Developer in the 2023 RBJ's Book of Lists and ranked 27th in Rochester Chamber's Top 100 Companies. Additionally, we have maintained our certification as a Great Place to Work for consecutive years in a row. Our list of satisfied clients and #ROCstar employees are both rapidly growing- Are you next to join our team? Mindex's Software Development division is the go-to software developer for enterprise organizations looking to engage teams of skilled technical resources to help them plan, navigate, and execute through the full software development lifecycle. We seek a skilled Google Cloud Platform Data Engineer to join our team. Essential Functions The GCP Data Engineer will develop data integration processes supporting client data initiatives. This includes ensuring accuracy and consistency of business data across systems, with extensive use of Python, SQL, and modern data engineering frameworks. The role also requires providing technical support during business hours. Key Responsibilities: Develop an understanding of the data environment through profiling and analysis to enhance data quality. Build Python-based solutions for data extraction, cleansing, transformation, and validation to support data migration. Document data integration processes, ensure traceability and develop data monitoring solutions. Collaborate with architects for solution integration ensuring alignment with company standards. Manage data tools and platforms for proper software/infrastructure updates. Work with the Data Management Organization to align with data quality improvement objectives. Ensure solutions meet Service Level Agreements with capacity and performance considerations. Requirements Bachelor's Degree in Computer Science or equivalent experience preferred. 4 years of experience in software engineering with a strong focus on Python and data engineering. Advanced proficiency in Python and Agent Development with strong problem-solving skills required. 3 years of development experience and proficiency with Relational Databases, NoSQL, and/or Data Lakehouses (Snowflake, Microsoft Fabric, Databricks) Intermediate proficiency in cloud technologies, including Google Cloud Platform, required. Working knowledge of REST standards preferred. Experienced in data quality, data integration, and data processing. Proficiency with data movement solutions like Informatica IICS, Fivetran, and Airbyte. Experience with data transformation solutions, such as dbt. Experience with workflow orchestration tools such as Airflow or Astronmer, Dagster, and Prefect. Familiarity with CI/CD and container technology is preferred. Understanding usage of AI technologies for development and proficiency in prompting Physical Conditions/Requirements Prolonged periods sitting at a desk and working on a computer No heavy lifting is expected. Exertion of up to 10 lbs. Benefits Health insurance Paid holidays Flexible time off 401k retirement savings plan and company match with pre-tax and ROTH options Dental insurance Vision insurance Employer paid disability insurance Life insurance and AD&D insurance Employee assistance program Flexible spending accounts Health savings account with employer contributions Accident, critical illness, hospital indemnity, and legal assistance Adoption assistance Domestic partner coverage Mindex Perks Tickets to local sporting events Teambuilding events Holiday and celebration parties Professional Development Leadership training License to Udemy online training courses Growth opportunities The band 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, education, experience, training, certifications, internal equity, and other business and organizational needs. 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. The range for this role is $90,000-$140,000 Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor, or take over sponsorship of an employment Visa at this time.

As a community, the University of Rochester is defined by a deep commitment to Meliora - Ever Better. Embedded in that ideal are the values we share: equity, leadership, integrity, openness, respect, and accountability. Together, we will set the highest standards for how we treat each other to ensure our community is welcoming to all and is a place where all can thrive. Job Location (Full Address): Remote Work - New York, Albany, New York, United States of America, 12224 Opening: Worker Subtype: Regular Time Type: Full time Scheduled Weekly Hours: 40 Department: 100089 University IT / C&DS Work Shift: UR - Day (United States of America) Range: UR URG 114 Compensation Range: $86,482.00 - $129,723.00 The referenced pay range represents the minimum and maximum compensation for this job. Individual annual salaries/hourly rates will be set within the job's compensation range, and will be determined by considering factors including, but not limited to, market data, education, experience, qualifications, expertise of the individual, and internal equity considerations. Responsibilities: Architects, designs, develops, implements and supports various components for the enterprise data warehouse and associated data sources. Provides support for reporting projects, as well as process and architectural recommendations. Mentors staff, demonstrates best practices, plans for business continuity and sustainability and works on projects that support Business Intelligence and Data Warehousing functions. ESSENTIAL FUNCTIONS Develops data integration and transformation processes across on premise and cloud data sources using tools, including Oracle Data Integrator, Boomi Atomsphere, Informatica, as determined by the environment. Works with the user community and reporting team to understand business data and data transformation requirements. Converts requirements to functional and technical specifications for database and integration design. Manages requests and/or components of larger projects with appropriate documentation and status reports. Develops data models and database designs that leverage knowledge of data warehouse modeling best practices. Architects data integration and transformation processes across on premise and cloud data sources. Provides leadership and serves as a subject matter expert. Collaborates with other team members using scrum processes or other project management disciplines. Follows best practices for change and code management. Provides supporting technical documentation that is well written, organized and maintained. Participates in ongoing stabilization, support and maintenance. Provides on call support as needed for business continuity and operations. Attends webinars, reads case studies and white papers, and participates in opportunities to further refine skills and stay apprised on functional area topics. Maintains current knowledge of technology, equipment, and/or systems and advises on newer technologies. Other duties as assigned. MINIMUM EDUCATION & EXPERIENCE Bachelor's degree and 5 years of relevant experience required Master's degree preferred Or equivalent combination of education and experience Multiple project experience with Data Warehousing ETL technologies and overall knowledge of Data Warehousing/Business Intelligence lifecycles required Experience with dimensional data models required Experience with integrating data warehouses with business intelligence metadata tools preferred Experience with service oriented architecture and enterprise information integration preferred Experience with the development of web services preferred Experience with Dell Boomi Atomsphere preferred Experience with Oracle Data Integrator preferred KNOWLEDGE, SKILLS AND ABILITIES Strong analytical and problem solving abilities required Ability to actively participate and collaborate on a team required Excellent written communication skills. Ability to translate functional business requirements into documented system requirements and designs required Understanding of data warehouse and agile software development processes required In depth understanding and development experience using SQL, Pl/SQL and UNIX scripting languages with SQL based databases (Oracle, DB2 or SQL Server) required Proficiency in developing data transformation packages/stored procedures required LICENSES AND CERTIFICATIONS EPIC - EPIC Certification upon hire preferred The University of Rochester is committed to fostering, cultivating, and preserving an inclusive and welcoming culture to advance the University's Mission to Learn, Discover, Heal, Create - and Make the World Ever Better. In support of our values and those of our society, the University is committed to not discriminating on the basis of age, color, disability, ethnicity, gender identity or expression, genetic information, marital status, military/veteran status, national origin, race, religion, creed, sex, sexual orientation, citizenship status, or any other characteristic protected by federal, state, or local law (Protected Characteristics). This commitment extends to non-discrimination in the administration of our policies, admissions, employment, access, and recruitment of candidates, for all persons consistent with our values and based on applicable law.

As a Cloud Architect on our Professional Services team, you will be responsible for designing, implementing, migrating to, and managing clients' data-driven cloud architectures and infrastructure using AWS. You will work alongside team members to help migrate customer data systems to the cloud, build and optimize data pipelines and analytics solutions, architect scalable data platforms, recommend data technologies and storage solutions to meet client needs, contribute to data engineering R&D initiatives, and mentor team members on data architecture best practices. Responsible for:· Creating, implementing, and maintaining cloud architecture for clients· Migrating systems to hybrid or cloud-based solutions· Troubleshooting and optimizing clients' cloud infrastructure· Working with developers to support and maintain application lifecycles· Assisting with design and implementation of new cloud architecture that follow best practice guidelines· Working with Project Managers and clients to provide recommendations and technology roadmaps to meet their business needs· Actively participating in team meetings and cross-functional interactions· Keeping team members and supervisors informed of progress and issues· Actively contributing in client project status meetings· Contributing to R&D projects to validate/invalidate new services offerings· Mentoring and guiding members of the delivery team in a technical and non-technical capacity· Remaining current with technology trends and new technologies· Proposing latest technology usage and integration standards How you will be successful:· Living and breathing the “cloud-first” approach· Having a high degree of analytical thinking capability to solve complex business problems· Obsessively delivering amazing customer experiences· Becoming a subject matter expert in one or more cloud platforms in 9-12 months· Building trusting relationships with team members and collaborating departments· Comfortable with pushing boundaries and technical limits (maintain technical aptitude and knowledge of industry)· Always be learning What experience you need:· 5+ years professional IT experience· 2+ years professional AWS or Azure experience· At least (1) AWS or Azure Certification (professional level)· Programming languages like Python, R, Java, Scala etc. to build data pipelines, perform data analysis and create machine learning models. · SQL and NoSQL databases like PostgreSQL, MySQL, MongoDB, Cassandra etc. to store and query large datasets. · Data modeling skills - ability to design conceptual, logical and physical data models.· Understanding of dimensional modeling, star schemas, data warehouses. · ETL (Extract, Transform, Load) tools like Informatica, Talend, Pentaho etc. to integrate and move data between systems. · Big data frameworks like Hadoop, Spark, Kafka etc. for distributed data processing and building data lakes · Machine learning frameworks like Tensorflow, PyTorch, Keras, Scikit-Learn for building ML models. · Knowledge of data architecture patterns like lambda, kappa architecture. Ability to design scalable and flexible data pipelines. Compensation Disclosure:The salary range provided is a general guideline. When extending an offer, Innovative considers factors including, but not limited to, the responsibilities of the specific role, market conditions, geographic location, as well as the candidate's professional experience, key skills, and education/training.

As a community, the University of Rochester is defined by a deep commitment to Meliora - Ever Better. Embedded in that ideal are the values we share: equity, leadership, integrity, openness, respect, and accountability. Together, we will set the highest standards for how we treat each other to ensure our community is welcoming to all and is a place where all can thrive. **Job Location (Full Address):** 265 Crittenden Blvd, Rochester, New York, United States of America, 14642 **Opening:** Worker Subtype: Regular Time Type: Full time Scheduled Weekly Hours: 40 Department: 400980 Neuro-Ctr Health & Tech/Admin Work Shift: UR - Day (United States of America) Range: UR URG 113 Compensation Range: $77,216.00 - $115,824.00 _The referenced pay range represents the minimum and maximum compensation for this job. Individual annual salaries/hourly rates will be set within the job's compensation range, and will be determined by considering factors including, but not limited to, market data, education, experience, qualifications, expertise of the individual, and internal equity considerations._ **Responsibilities:** GENERAL PURPOSE The CHeT Research Data Engineer II will work with faculty, study teams, and industry partners in driving data science for key projects, which include data predictive model analytics for disease progression and observational and interventional studies involving smart apps, wearable sensors, and other new technologies. Under general guidance and supervision, the position has considerable latitude for independent judgment and initiative. **ESSENTIAL FUNCTIONS** + Data science for Omics and Clinical Disease Progression Analytics. + Curate, harmonize, and integrate large-scale omics and clinical datasets to support disease progression research. + Develop and apply computational methods, algorithms, and predictive models to characterize and forecast disease trajectories. + Build custom data models and multi-omic integration pipelines to uncover biological mechanisms and clinical correlates of disease. + Design and implement processes, tools, and dashboards to monitor model performance, assess accuracy, and support reproducible research. + Data science in studies involving smart apps, wearable sensors, and new technologies. + Use statistics, machine learning, and computer science to analyze and interpret digital data and to compare to traditional assessments and scales. + Develop custom data models and algorithms to apply to data sets. + Use predictive modeling to analyze and characterize disease progression. + Assess the effectiveness and accuracy of new data sources and data gathering techniques. + Develop processes and tools to monitor and analyze model performance and data accuracy + Research & writing & publications related to data science modeling/analytics. + Disseminate research results through abstracts, publications, and other mechanisms + Keep abreast of trends as they relate to the computer field by self-study, attending job-related seminars, courses, or conferences which enhance personal development Other duties as assigned. **MINIMUM EDUCATION & EXPERIENCE** + Bachelor's degree in Data Science, Computer Science, Mathematics, Statistics, or similar discipline Required + Master's degree Preferred + 2 years of relevant experience Required + or equivalent combination of education and experience Required **KNOWLEDGE, SKILLS AND ABILITIES** The ideal candidate will be a self-starter with a proven ability to solve problems and continually learn new things in a fast-paced environment. Preferred + Software Analytics, Machine and Deep Learning (e.g., (clustering, decision tree learning, artificial neural networks, etc.), Visual analytics, Natural Language Processing, Multimodal Data Fusion, Compressive Sensing, Data architectures + Knowledge of advanced statistical techniques and concepts (e.g., regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications. + Research & Project Management + Coding knowledge and experience in computer languages (e.g., C, C++, Java, R, Python, SQL) + Excellent communication skills for coordinating across teams. + A drive to learn and master new technologies and techniques. The University of Rochester is committed to fostering, cultivating, and preserving an inclusive and welcoming culture to advance the University's Mission to Learn, Discover, Heal, Create - and Make the World Ever Better. In support of our values and those of our society, the University is committed to not discriminating on the basis of age, color, disability, ethnicity, gender identity or expression, genetic information, marital status, military/veteran status, national origin, race, religion, creed, sex, sexual orientation, citizenship status, or any other characteristic protected by federal, state, or local law (Protected Characteristics). This commitment extends to non-discrimination in the administration of our policies, admissions, employment, access, and recruitment of candidates, for all persons consistent with our values and based on applicable law. Notice: If you are a **Current Employee,** please **log into my URHR** to search for and apply to jobs using the Jobs Hub. Your application, if submitted using this portal, cannot be moved forward. **Learn. Discover. Heal. Create.** Located in western New York, Rochester is our namesake and our home. One of the world's leading research universities, Rochester has a long tradition of breaking boundaries-always pushing and questioning, learning and unlearning. We transform ideas into enterprises that create value and make the world ever better. If you're looking for a career in higher education or health care, the University of Rochester may offer the perfect opportunity for your background and goals. At the University of Rochester, we are committed to fostering, cultivating, and preserving an inclusive and welcoming culture and are united by a strong commitment to be ever better-Meliora. It is an ideal that informs our shared mission to ensure all members of our community feel safe, respected, included, and valued.

Do you want to be part of the excitement in helping companies achieve their digital transformation? At Virtusa we help organizations digitally transform at the pace and passion of a start-up with expert execution at global scale. Data Engineer - Pega Job Responsibilities\: Identifying, developing and documenting repeatable design and implementation methodologies based on functional requirements using Pega. Define, develop, document, and maintain governance for use of Pega. Be well versed with Pega concepts and technology roadmap. Critical contributor in Pega roadmap. Collaborate in a cross-functional team environment to ensure corporate-wide settings/configurations are aligned with business requirements. Suggest alternatives to custom solutions to render Pega out of the box solutions. Creating user acceptance testing and performance testing plans to validate and support the customizations, features and functionalities. Work Hours and Benefits\: This is a full-time role based in New York and comes with great benefits: Data Engineer - Pega Qualifications and Skills\: Excellent communication, presentation, and problem-solving skills in Enterprise Customer Management Designing and deploying large scale distributed data processing systems with few technologies such as Oracle, MS SQL Server, MySQL, PostgreSQL, MongoDB, Cassandra, Redis. GCP Professional Data Engineer certification Education and Experience Requirements: Pega Senior Systems Architect Certification. 6+ years of Pega experience in building and implementing model-driven, enterprise-level business solutions and applications 4+ years of Pega experience in Pega Decisioning and Pega Marketing skills 3+ years in a customer facing role working with enterprise clients and as Solution Engineer or Architect

REMOTE / FULL TIME Amira Learning accelerates literacy outcomes by delivering the latest reading and neuroscience with AI. As the leader in third-generation edtech, Amira listens to students read out loud, assesses mastery, helps teachers supplement instruction and delivers 1:1 tutoring. Validated by independent university and SEA efficacy research, Amira is the only AI literacy platform proven to achieve gains surpassing 1:1 human tutoring, consistently delivering effect sizes over 0.4. Rooted in over thirty years of research, Amira is the first, foremost, and only proven Intelligent Assistant for teachers and AI Reading Tutor for students. The platform serves as a school district's Intelligent Growth Engine, driving instructional coherence by unifying assessment, instruction, and tutoring around the chosen curriculum. Unlike any other edtech tool, Amira continuously identifies each student's skill gaps and collaborates with teachers to build lesson plans aligned with district curricula, pulling directly from the district's high-quality instructional materials. Teachers can finally differentiate instruction with evidence and ease, and students get the 1:1 practice they specifically need, whether they are excelling or working below grade level. Trusted by more than 2,000 districts and working in partnership with twelve state education agencies, Amira is helping 3.5 million students worldwide become motivated and masterful readers. About this role: We are seeking a Data Scientist with expertise in the domain of reading science, education, literacy, and NLP; with practical experience building and utilizing Gen AI (LLM, image, and/or video) models. You will help to create Gen AI based apps that will power the most widely used Intelligent Assistant in U.S. schools, already helping more than 2 million children. We are looking for strong, education focused engineers who have a background using the latest generative AI models, with experience in areas such as prompt engineering, model evaluation; data processing for training and fine-tuning; model alignment, and human-feedback-based model training. Responsibilities include: * Design methods, tools, and infrastructure to enable Amira to interact with students and educators in novel ways. * Define approaches to content creation that will enable Amira to safely assist students to build their reading skills. This includes defining internal pipelines to interact with our content team. * Contribute to experiments, including designing experimental details and hypothesis testing, writing reusable code, running evaluations, and organizing and presenting results. * Work hands on with large, complex codebases, contributing meaningfully to enhance the capabilities of the machine learning team. * Work within a fully distributed (remote) team. * Find mechanisms for enabling the use of the Gen AI to be economically viable given the limited budgets of public schools. Who You Are: * You have a background in early education, reading science, literacy, and/or NLP. * You have at least one year of experience working with LLMs and Gen AI models. * You have a degree in computer science or a related technical area. * You are a proficient Python programmer. * You have created performant Machine Learning models. * You want to continue to be hands-on with LLMs and other Gen AI models over the next few years. * You have a desire to be at a Silicon Valley start-up, with the desire and commitment that requires. * You are able to enjoy working on a remote, distributed team and are a natural collaborator. * You love writing code - creating good products means a lot to you. Working is fun - not a passport to get to the next weekend. Qualifications * Bachelor's degree, and/or relevant experience * 1+ years of Gen AI experience - preferably in the Education SaaS industry * Ability to operate in a highly efficient manner by multitasking in a fast-paced, goal-oriented environment. * Exceptional organizational, analytical, and detail-oriented thinking skills. * Proven track record of meeting/exceeding goals and targets. * Great interpersonal, written and oral communication skills. * Experience working across remote teams. Amira's Culture * Flexibility - We encourage and support you to live and work where you desire. Amira works as a truly distributed team. We worked remotely before COVID and we'll be working remotely after the pandemic is long gone. Our office is Slack. Our coffee room is Zoom. Our team works hard but we work when we want, where we want. * Collaboration - We work together closely, using collaborative tools and periodic face to face get togethers. We believe great software is like movie-making. Lots of talented people with very different skills have to band together to build a great experience. * Lean & Agile -- We believe in ownership and continuous feedback. Yes, we employ Scrum ceremonies. But, what we're really after is using data and learning to be better and to do better for our teachers, students, and players. * Mission-Driven - What's important to us is helping kids. We're about tangible, measured impact. Benefits: * Competitive Salary * Medical, dental, and vision benefits * 401(k) with company matching * Flexible time off * Stock option ownership * Cutting-edge work * The opportunity to help children around the world reach their full potential Commitment to Diversity: Amira Learning serves a diverse group of students and educators across the United States and internationally. We believe every student should have access to a high-quality education and that it takes a diverse group of people with a wide range of experiences to develop and deliver a product that meets that goal. We are proud to be an equal opportunity employer. The posted salary range reflects the minimum and maximum base salary the company reasonably expects to pay for this role. Salary ranges are determined by role, level, and location. Individual pay is based on location, job-related skills, experience, and relevant education or training. We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, ancestry, national origin, sex, sexual orientation, gender identity or expression, age, disability, medical condition, pregnancy, genetic information, marital status, military service, or any other status protected by law.

Lead Hadoop Data Platform Architect Duration : Duration: 8 Months Temp to Perm & Must be interested and able to convert to full time employee. Job description: The 'Lead Data Architect' needs to have technically knowledge / experience to lead the effort of deploying a Hortonworks Hadoop environment and a Teradata Massively Parallel Processing environment along with the Data Management process and tool govern this environment. They would need at least 3 years' experience in this environment and at least 7 years in information management. Level 1 • Has a minimum of 8 years of experience in data warehousing and 3 years in big data architecture solutions • Minimum of 2 years of Healthcare experience Level 2 • Has a minimum of 10 years of experience in data warehousing and 5 years in big data architecture solutions. • Architectural lead the migration to a big data platform where he or she successfully migrated and deployed the new the big data capabilities using MPP / Hadoop platform. • Minimum of 4 years of healthcare experience Additional Information All your information will be kept confidential according to EEO guidelines.

Job Description Zone IT Solutions is in search of a highly skilled Data Architect. In this pivotal role, you will be responsible for designing, implementing, and managing our data architecture strategies to support our business objectives and enhance our data capabilities. Requirements Bachelor's or Master's degree in Computer Science, Information Systems, or related field. Minimum of 6+ years of experience in data architecture, data modeling, and data management. Strong proficiency in SQL and experience with relational databases (e.g., Oracle, SQL Server, MySQL). Experience with NoSQL databases (e.g., MongoDB, Cassandra) is a plus. In-depth understanding of data integration, ETL processes, and data warehousing concepts. Proven experience in designing scalable data solutions for large datasets. Strong analytical and problem-solving skills, with the ability to work under pressure. Excellent communication and collaboration skills to work effectively with cross-functional teams. Familiarity with cloud data solutions (e.g., AWS, Azure, GCP) is preferred. Benefits About Us We specialize in Digital, ERP, and larger IT Services. We offer flexible, efficient and collaborative solutions to any organization that requires IT, experts. Our agile, agnostic, and flexible solutions will help you source the IT Expertise you need. If you are looking for new opportunities, send your profile at *******************************. Also follow our LinkedIn page for new job opportunities and more. Zone IT Solutions is an equal opportunity employer and our recruitment process focuses on essential skills and abilities. We encourage applications from a diverse array of backgrounds, including individuals of various ethnicities, cultures, and linguistic backgrounds, as well as those with disabilities.

As an Advanced Data Scientist here at Honeywell, you will be responsible for providing technical insight and acting as the subject matter expert in machine learning, statistical modeling, and data analysis projects. You will work closely with leadership to translate business needs into data science solutions. You will be responsible for contributing to the continuous improvement of methodologies and explore new approaches to enhance analytical capabilities. In this role, you will impact the business by applying your expertise in machine learning, statistical modeling, and data analysis to develop and implement advanced algorithms and analytical solutions. You will manage end-to-end data science projects, ensuring alignment with business objectives and the successful delivery of actionable insights. Additionally, you will provide mentorship and guidance to junior data scientists, fostering a collaborative and innovative team culture. **Key Responsibilities** + Participate in extending product capabilities through development and deployment of analytical systems leveraging data mining, generative AI, and ML techniques. + Interact with 3 rd parties to evaluate integration feasibility and licensing of technologies and analytic components + Design, prototyping, and implementation of new data-centric solutions + Effectively communicate and collaborate with local teams, international teams, and 3 rd parties + Contribute to build versus buy decisions + Work closely with members of Product Management, New Product Development, Quality Assurance, and end users as may be necessary to bring solutions to life + Self-starter that can take minimal direction and deliver results + Curious problem solver **YOU MUST HAVE** + Bachelor's degree from an accredited institution in a technical discipline such as the sciences, technology, engineering or mathematics. + BS or MS in an appropriate technology field (Computer Science, Statistics, Applied Math, etc.) + At least 5 years of experience in modern advanced analytical tools and programming languages, including Python. + Proficiency with exploratory data analysis + **Proficiency with ETL operations sourcing data from SQL, REST APIs, and flat files** + Experience with data visualization technologies, such as Power BI, Tableau, matplotlib, Excel, etc. + **At least 5 years of experience in traditional programming languages such as Python, JavaScript, TypeScript, C or C#** + Comfortable in Windows and Linux environments **WE VALUE** + BS or MS in an appropriate technology field (Computer Science, Statistics, Applied Math, etc.) + Experience in building generative AI applications leveraging embeddings, LLMs, VLMs, vector databases, data source APIs, and agentic patterns/frameworks + Experience in various deployment topologies including on-premises, hybrid, and cloud for production generative AI applications + Experience in building predictive and decision-making AI applications. + Experience using cloud services from AWS, Azure, or GCP to develop solutions. + Experience in computer vision and image/video analysis, including object detection, recognition, tracking, and identification + Experience with application of data mining algorithms and statistical modeling techniques such as clustering, classification, regression, decision trees, neural networks, SVMs, anomaly detection, recommender systems, pattern discovery, and text mining + Problem Solving: Ability to solve problems using analytical thinking, reconciling viewpoints, and evaluating technologies. + Communication: Demonstrates effective verbal and written communication skills when explaining complex technical issues to both technical and non-technical audiences + Continuous learning mindset The annual base salary range for this position is $124,000 - $155,000. Please note that this salary information serves as a general guideline. Honeywell considers various factors when extending an offer, including but not limited to the scope and responsibilities of the position, the candidate's work experience, education and training, key skills, as well as market and business considerations. In addition to a competitive salary, leading-edge work, and developing solutions side-by-side with dedicated experts in their fields, Honeywell employees are eligible for a comprehensive benefits package. This package includes employer subsidized Medical, Dental, Vision, and Life Insurance; Short-Term and Long-Term Disability; 401(k) match, Flexible Spending Accounts, Health Savings Accounts, EAP, and Educational Assistance; Parental Leave, Paid Time Off (for vacation, personal business, sick time, and parental leave), and 12 Paid Holidays. For more information visit: Benefits at Honeywell (******************************** The application period for the job is estimated to be 40 days from the job posting date; however, this may be shortened or extended depending on business needs and the availability of qualified candidates. Job Posting Date: 1/14/2026 Honeywell helps organizations solve the world's most complex challenges in automation, the future of aviation and energy transition. As a trusted partner, we provide actionable solutions and innovation through our Aerospace Technologies, Building Automation, Energy and Sustainability Solutions, and Industrial Automation business segments - powered by our Honeywell Forge software - that help make the world smarter, safer and more sustainable. Honeywell is an equal opportunity employer. Qualified applicants will be considered without regard to age, race, creed, color, national origin, ancestry, marital status, affectional or sexual orientation, gender identity or expression, disability, nationality, sex, religion, or veteran status.

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 - Senior** We are seeking a highly skilled Senior Consultant Data Engineer with expertise in cloud data engineering, specifically Databricks. The ideal candidate will have strong client management and communication skills, along with a proven track record of successful end-to-end implementations in data engineering projects. **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 technical requirements align with business needs. Your responsibilities will include creating scalable data architecture and modeling solutions that support the entire data asset lifecycle. **Your key responsibilities** As a Senior Data Engineer, you will play a pivotal role in transforming data into actionable insights. Your time will be spent on various responsibilities, including: + Designing, building, and operating scalable on-premises or cloud data architecture. + Analyzing business requirements and translating them into technical specifications. + Optimizing data flows for target data platform designs. + Design, develop, and implement data engineering solutions using Databricks on cloud platforms (e.g., AWS, Azure, GCP). + Collaborate with clients to understand their data needs and provide tailored solutions that meet their business objectives. + Lead end-to-end data pipeline development, including data ingestion, transformation, and storage. + Ensure data quality, integrity, and security throughout the data lifecycle. + Provide technical guidance and mentorship to junior data engineers and team members. + Communicate effectively with stakeholders, including technical and non-technical audiences, to convey complex data concepts. + Manage client relationships and expectations, ensuring high levels of satisfaction and engagement. + Stay updated with the latest trends and technologies in data engineering and cloud computing. This role offers the opportunity to work with cutting-edge technologies and stay ahead of industry trends, ensuring you gain a competitive advantage in the market. The position may require regular travel to meet with external clients. **Skills and attributes for success** To thrive in this role, you will need a blend of technical and interpersonal skills. Your ability to communicate effectively and build relationships will be crucial. Here are some key attributes we look for: + Strong analytical and decision-making skills. + Proficiency in cloud computing and data architecture design. + Experience in data integration and security. + Ability to manage complex problem-solving scenarios. **To qualify for the role, you must have** + A Bachelor's degree in Computer Science, Engineering, or a related field required (4-year degree). Master's degree preferred + Typically, no less than 2 - 4 years relevant experience in data engineering, with a focus on cloud data solutions. + 5+ years of experience in data engineering, with a focus on cloud data solutions. + Expertise in Databricks and experience with Spark for big data processing. + Proven experience in at least two end-to-end data engineering implementations, including: + Implementation of a data lake solution using Databricks, integrating various data sources, and enabling analytics for business intelligence. + Development of a real-time data processing pipeline using Databricks and cloud services, delivering insights for operational decision-making. + Strong programming skills in languages such as Python, Scala, or SQL. + Experience with data modeling, ETL processes, and data warehousing concepts. + 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 Senior Consulting Projects:** + **Strategic Thinking:** Ability to align data engineering solutions with business strategies and objectives. + **Project Management:** Experience in managing multiple projects simultaneously, 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. **Ideally, you'll also have** + Experience with data quality management. + Familiarity with semantic layers in data architecture. + 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. You should be adaptable, collaborative, and driven by a desire to achieve excellence in every project you undertake. 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 $106,900 to $176,500. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $128,400 to $200,600. 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 ************************** .

At CVS Health, we're building a world of health around every consumer and surrounding ourselves with dedicated colleagues who are passionate about transforming health care. As the nation's leading health solutions company, we reach millions of Americans through our local presence, digital channels and more than 300,000 purpose-driven colleagues - caring for people where, when and how they choose in a way that is uniquely more connected, more convenient and more compassionate. And we do it all with heart, each and every day. Position Summary We're seeking a Data Engineer to design and implement data pipelines that power analytical capabilities. This hands-on role requires an understanding of data engineering best practices and the ability to translate business requirements into technical solutions. You will be part of a dedicated team creating datasets for analytic and data science workloads. You will work with other Data Engineers and Sr. Data Engineers on designing, implementing, and testing data pipelines. Your key responsibilities are:Data Pipeline Development: Design and build ETL/ELT data pipelines to ingest, process, and transform datasets from multiple sources. Performance Optimization: Implement best practices for performance tuning, partitioning, and clustering to optimize data queries. Data Quality & Governance: follow data quality standards, data governance frameworks, and security policies for data storage and access. Data Modeling & Architecture: Develop and optimize data models and schemas to support analytics, reporting, and machine learning requirements. Data Integration & Transformation: Collaborate with data scientists and analysts to design data solutions that integrate with BI tools and machine learning models Documentation & Knowledge Sharing: Create comprehensive documentation for data pipelines, workflows, and processes. Required Qualifications2+ years of applicable work experience Proficiency in Python, specifically with ETL pipelines Strong proficiency in SQL and experience in developing complex queries Experience deploying data pipelines in a cloud environment (any of Azure, AWS, GCP) Excellent communication and interpersonal skills, with the ability to collaborate effectively with data scientists and analysts. Preferred QualificationsExperience working with healthcare data, especially Epic. Experience using GCP's BigQueryKnowledge of data governance best practices in a cloud environment. Experience working with Machine Learning processes. EducationCollege degree or certification in related fields Anticipated Weekly Hours40Time TypeFull time Pay RangeThe typical pay range for this role is:$64,890. 00 - $173,040. 00This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong. Great benefits for great people We take pride in our comprehensive and competitive mix of pay and benefits - investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include:Affordable medical plan options, a 401(k) plan (including matching company contributions), and an employee stock purchase plan. No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching. Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility. For more information, visit ************* cvshealth. com/us/en/benefits We anticipate the application window for this opening will close on: 01/23/2026Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.

Data Engineer - Google Cloud Do you want to be part of the excitement in helping companies achieve their digital transformation? At Virtusa we help organizations digitally transform at the pace and passion of a start-up with expert execution at global scale. Data Engineer - Google Cloud Job Responsibilities\: Architecting, implementing and/or maintaining technical solutions around backups, recovery, high availability and DR on Cloud (GCP preferred) Analyzing, re-architecting and re-platforming on-premises data warehouses to data platforms on GCP cloud using GCP/3rd party services. Performing detail assessments of current state data platforms and creating an appropriate transition path to GCP cloud Customer facing migration, including service discovery, assessment, planning, execution, and operations. Work Hours and Benefits\: This is a full-time role based in New York and comes with great benefits: Data Engineer - Google Cloud Qualifications and Skills\: Excellent communication, presentation, and problem-solving skills in Enterprise Customer Management Designing and deploying large scale distributed data processing systems with few technologies such as Oracle, MS SQL Server, MySQL, PostgreSQL, MongoDB, Cassandra, Redis. GCP Professional Data Engineer certification Education and Experience Requirements: 6+ years direct experience working in Enterprise Data Warehouse technologies 3+ years in a customer facing role working with enterprise clients and as Solution Engineer or Architect

As a community, the University of Rochester is defined by a deep commitment to Meliora - Ever Better. Embedded in that ideal are the values we share: equity, leadership, integrity, openness, respect, and accountability. Together, we will set the highest standards for how we treat each other to ensure our community is welcoming to all and is a place where all can thrive. **Job Location (Full Address):** 601 Elmwood Ave, Rochester, New York, United States of America, 14642 **Opening:** Worker Subtype: Regular Time Type: Full time Scheduled Weekly Hours: 40 Department: 400089 Dev & Behav Pediatrics Work Shift: UR - Day (United States of America) Range: UR URG 109 H Compensation Range: $26.90 - $37.66 _The referenced pay range represents the minimum and maximum compensation for this job. Individual annual salaries/hourly rates will be set within the job's compensation range, and will be determined by considering factors including, but not limited to, market data, education, experience, qualifications, expertise of the individual, and internal equity considerations._ **Responsibilities:** GENERAL PURPOSE This position represents the Director of Employment Programs for the Strong Center for Developmental Disabilities at DBP. The position will independently anticipate, identify and solve problems in promoting smooth operation of all aspects of Employment related projects. The position will be able to work independently and appropriately seek advice about community partnerships and projects. They have direct and sole responsibility for several grant funded projects. Demonstrates ICARE* values in each of the major responsibilities. **ESSENTIAL FUNCTIONS** Project Director of Apprenticeship Project + Directs grant from NYS Developmental Disabilities Planning Council with responsibility for managing the budget (allocations, spending, reconciliation [must be signed off on by PI]) and grant reporting responsibility. + Designs and manages data collection and analysis for project deliverables and ongoing project requests + Prepares analytical reports for mandated funder monthly, quarterly and annual reporting. + Manage relationship with grant and government agency funders. Lead Job Coach ECHO + Identifies and coordinates hub team members for annual Job Coach ECHO cohort + Oversees didactic development + Oversees recruitment efforts and provides support to coordination team + Conducts evaluations and generates reports Supervise Project Coordinators + Provides guidance, work management support, weekly supervision to SCDD project coordinators, who contribute to multiple employment-related projects + Conducts annual performance review of SCDD project coordinators Oversees development of new employment projects, including grant-writing and external relations. + Leads team of program directors in developing scopes of work that are collaborative and address current issues in the field of developmental disability + Lead and/or contribute to preparation of grant applications, to fund both existing and new work Provide Statewide Employment Support + Determines relevance of policy activity at State and Federal levels, responding to those that affect people with disabilities with recommendations for future change. + Maintains a working knowledge of the area(s) of employment, education, Medicaid and ACD, and HCBS by reviewing research literature and abstracts, attending pertinent meetings and seminars, reporting back to other faculty/Project Directors. + Provides guidance to Center leadership on programmatic direction given local, state and federal political landscape. + Participates on statewide Employment First and related committees + Work with UCEDD Director and Co-Director to identify target areas for support of state education and initiatives + Write "white papers" and prepare presentations on key issues Other duties as assigned. **MINIMUM EDUCATION & EXPERIENCE** + Bachelor's degree Required + Advanced degree with major course work in an appropriate or related field of policy, disability, special education, or inclusive higher education field. Preferred + 3 years of related experience or equivalent combination of education and experience Required **KNOWLEDGE, SKILLS AND ABILITIES** + Requires the ability to work independently and excellent organizational skills with attention to detail. + Requires advanced knowledge of policy issues at State and Federal level. Required + Must have strong communication skills. + Must be able to utilize (or have skills to learn) Power Point, Adobe Connect, Publisher and other webinar presentation software. Required **LICENSES AND CERTIFICATIONS** + This position requires an annual re-certification in HIPAA awareness and annual renewal of a Strong Commitment contract. It also requires completion and maintenance of CITI research certification (provided through URMC). Required The University of Rochester is committed to fostering, cultivating, and preserving an inclusive and welcoming culture to advance the University's Mission to Learn, Discover, Heal, Create - and Make the World Ever Better. In support of our values and those of our society, the University is committed to not discriminating on the basis of age, color, disability, ethnicity, gender identity or expression, genetic information, marital status, military/veteran status, national origin, race, religion, creed, sex, sexual orientation, citizenship status, or any other characteristic protected by federal, state, or local law (Protected Characteristics). This commitment extends to non-discrimination in the administration of our policies, admissions, employment, access, and recruitment of candidates, for all persons consistent with our values and based on applicable law. Notice: If you are a **Current Employee,** please **log into my URHR** to search for and apply to jobs using the Jobs Hub. Your application, if submitted using this portal, cannot be moved forward. **Learn. Discover. Heal. Create.** Located in western New York, Rochester is our namesake and our home. One of the world's leading research universities, Rochester has a long tradition of breaking boundaries-always pushing and questioning, learning and unlearning. We transform ideas into enterprises that create value and make the world ever better. If you're looking for a career in higher education or health care, the University of Rochester may offer the perfect opportunity for your background and goals. At the University of Rochester, we are committed to fostering, cultivating, and preserving an inclusive and welcoming culture and are united by a strong commitment to be ever better-Meliora. It is an ideal that informs our shared mission to ensure all members of our community feel safe, respected, included, and valued.

Lead Hadoop Data Platform Architect Duration : Duration: 8 Months Temp to Perm & Must be interested and able to convert to full time employee. Job description: The 'Lead Data Architect' needs to have technically knowledge / experience to lead the effort of deploying a Hortonworks Hadoop environment and a Teradata Massively Parallel Processing environment along with the Data Management process and tool govern this environment. They would need at least 3 years' experience in this environment and at least 7 years in information management. Level 1 • Has a minimum of 8 years of experience in data warehousing and 3 years in big data architecture solutions • Minimum of 2 years of Healthcare experience Level 2 • Has a minimum of 10 years of experience in data warehousing and 5 years in big data architecture solutions. • Architectural lead the migration to a big data platform where he or she successfully migrated and deployed the new the big data capabilities using MPP / Hadoop platform. • Minimum of 4 years of healthcare experience Additional Information All your information will be kept confidential according to EEO guidelines.

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: 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. 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. 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 **************************.