Senior data scientist jobs in Parma, OH

The Senior Data Scientist specializes in developing and programming methods, processes, and systems to consolidate and analyze structured, unstructured and/or diverse "big data" sources to generate insights and solutions for Sherwin-Williams PSG and CBG marketing groups. This involves identifying insights from data, interpreting and communicating findings to management. By using statistical analysis, Machine Learning (ML) techniques, and data visualization, the Senior Data Scientist will uncover patterns and trends within data to help the business make informed decisions and solve complex problems.

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world. YOUR TEAM Insights & Data delivers state-of-the-art Data solutions. Our expertise primarily lies in Cloud & Big Data engineering, where we develop robust systems capable of processing extensive and complex datasets, utilizing specialized Cloud Data services across platforms like AWS, Azure, and GCP. We oversee the entire Software Development Life Cycle (SDLC) of these solutions, which involves not only leveraging data processing tools such as ETL but also extensive programming in languages like Python, Scala, or Java, coupled with the adoption of DevOps tools and best practices. The processed data is then made accessible to downstream systems through APIs, outbound interfaces, or is visualized via comprehensive reports and dashboards. Additionally, within our AI Center of Excellence, we undertake Data Science and Machine Learning projects with a focus on cutting-edge areas such as Generative AI, Natural Language Processing (NLP), Anomaly Detection, and Computer Vision. YOUR TASKS * designing, developing, and deploying state-of-the-art data science solutions in area of GenAI, Computer Vision, RCA, EDA, NLP * cooperating with the client stakeholders * leading data science projects from conception to deployment, including data collection, preprocessing, model development, and performance evaluation * collaborating with cross-functional teams (including engineers, product managers, and other data scientists) to integrate AI models into our products and services. YOUR PROFILE * master's or PhD in Computer Science, Mathematics, Statistics, or a related field * at least 3 years of experience in a data science role * expertise in machine learning and deep learning, particularly with generative models * strong programming skills in Python, including experience with ML frameworks like TensorFlow or PyTorch * good understanding of data structures, data modeling, and software architecture * demonstrated ability to lead projects and work collaboratively in a team environment * good problem-solving skills and the ability to work on complex issues requiring innovative solutions * good communication skills, the ability to explain complex technical concepts to non-technical stakeholders. NICE TO HAVE * publications in journals or conferences in the AI/ML field * experience with cloud platforms (AWS, Azure, GCP) and MLOps tools * contributions to open-source projects related to AI and machine learning. WHAT YOU'LL LOVE ABOUT WORKING HERE * Practical benefits: permanent employment contract from the first day; hybrid, flexible working model; equipment package for home office; private medical care with Medicover; life insurance; Capgemini Helpline; NAIS benefit platform. * Access to 70+ training tracks with certification opportunities; platform with free access to Pluralsight, TED Talks, Coursera, Udemy Business and SAP Learning HUB * Community Hub that will allow you to choose from over 20 professional communities that gather people interested in, among others: Salesforce, Java, Cloud, IoT, Agile, AI. GET TO KNOW US Capgemini is committed to diversity and inclusion, ensuring fairness in all employment practices. We evaluate individuals based on qualifications and performance, not personal characteristics, striving to create a workplace where everyone can succeed and feel valued. Do you want to get to know us better? Check our Instagram - @capgeminipl or visit our Facebook profile - Capgemini Polska. You can also find us on TikTok! - @capgeminipl. ABOUT CAPGEMINI Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of nearly 350,000 team members in more than 50 countries. With its strong 55-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms. Apply now!

Cleveland Clinic Foundation in Cleveland, OH seeks three Research Data Scientists to perform the following job duties: Utilize basic statistical, mathematical, and predictive modeling to build algorithms and perform data analytics. Utilize programing skills in languages such as SAS, SQL, SPSS, R, Python, MATLAB or similar. Perform basic data analysis to include data validation, investigation, and testing of hypotheses. Assist Principal Investigator with transforming data to support the investigation of research questions Builds basic predictive models, and other mathematical or statistical models as needed by using modeling tools. Utilize process enhancement opportunities to improve the efficiency of data pulling, reporting, programming, operation and etc. Work to curate and process complex clinical and biological data. May communicate or present research findings. Identify technical issues and manages resolution for analytics programs. Requirements: Must have demonstrated proficiency in SAS, SQL, SPSS, R, Python, MATLAB or similar. Must have Master's degree in Statistics, Mathematics, Computer Science, Engineering or related Life Science degree such as Neuroscience, Psychology or Genetics, or Computational Linguistics. In the alternative, employer will accept a Bachelor's degree in degrees listed above and 2 years of experience conducting data analytics, math or statistical modeling or machine learning. Pay Range Minimum Annual Salary: $76,540.00 Maximum Annual Salary: $116,747.50 The pay range displayed on this job posting reflects the anticipated range for new hires. A successful candidate's actual compensation will be determined after taking factors into consideration such as the candidate's work history, experience, skill set and education. The pay range displayed does not include any applicable pay practices (e.g., shift differentials, overtime, etc.). The pay range does not include the value of Cleveland Clinic's benefits package (e.g., healthcare, dental and vision benefits, retirement savings account contributions, etc.).

What Timken makes possible begins with you. Those who came before us helped land a man on the moon, create the world's infrastructure, and introduce renewable energy alternatives. Now you can join the Timken team to write your own unique story and help drive what's next. A career at Timken means you can have an immediate impact doing Work That Matters to the world- improving the efficiency of today's industrial equipment and preparing for the future of motion on our planet and beyond. New employees can start contributing right away, and there are many opportunities to advance your career at your own pace. Join our global team of 19,000 people in 45 countries and start helping our customers push the limits of what's possible in their world of motion. What We Offer Comprehensive Benefits Package: Medical (including Fertility coverage), Dental, Vision and additional Supplemental Benefits including Pet Insurance, Identify Theft Protection, Legal Assistance and many more We Invest in your Future: 401(k) Savings Plan with company match up to 4.5%, 100% vested in both employee and company-matching contributions, you may also be eligible for additional quarterly company contribution depending on your location State of the Art Facility: Enjoy on-site amenities such as cafeteria, gym, health clinic, walking paths and ergonomic support Work-Life Balance: Timken supports work-life balance through 10 paid holidays, a generous vacation plan and access to our Employee Assistance Program. We also offer Paid Parental Leave up to 12 weeks 100% paid for birth parent and up to 6 weeks 100% paid leave for the non-birth parent and adoptive parents Life-Long Learning: Competitive Educational Reimbursement Program, 24/7 access to thousands of personal and professional online development resources with best-in-class tools, learning offerings, and professional certification courses Purpose: The HR Data Scientist will combine advanced analytics with technical expertise to transform HR data into meaningful insights that drive strategic workforce decisions. This role will not only design predictive and prescriptive models but also partner with data engineering resources to optimize data pipelines, ensure data quality, and support seamless integration of HR data into enterprise data platforms. The position sits within the HR Systems team, ensuring that HR data science is closely aligned with business priorities and future-ready technology initiatives. Responsibilities: Data Architecture & Pipeline Development Prepare, cleanse, and transform HR data for modeling and analytics. Design and maintain reusable HR datasets to support reporting, dashboards, and advanced analytics. Contribute to automation of HR reporting and analytics workflows. Partner with data engineering resources to optimize HR data pipelines and integrations Develop data models and ensure integration of HR data into enterprise-wide reporting and analytics. Implement best practices for data storage, processing, and scalability. Data Quality, Security & Compliance Establish data validation, cleansing, and monitoring processes to ensure accuracy, timeliness, and consistency of HR data. Maintain compliance with global HR regulations (GDPR, CCPA, etc.) and internal audit requirements. Implement and monitor data governance and security standards. Innovation & Enablement Partner with HR and IT teams to identify opportunities for automation, AI enablement, and advanced analytics. Drive innovation by exploring emerging data technologies and recommending adoption strategies. Develop predictive, prescriptive, and statistical models for HR use cases. Provide technical expertise to ensure HR data can be effectively leveraged by analysts, data scientists, and business users. Collaboration & Cross-Functional Support Work closely with HRIS, HR Analytics, and IT to align data strategies and ensure interoperability of systems. Provide technical guidance and function as a subject matter expert on HR data engineering. Support reporting teams by enabling access to curated, trusted HR datasets. Qualifications and Functional Skills: Bachelor's degree in Data Science, Data Engineering, or related field with 5+ years of relative experience. Master's degree preferred, with 3+ years of relative experience. Strong experience with data pipeline development and ETL/ELT processes. Firsthand experience with Azure Data Factory, Azure DevOps (CI/CD pipeline development & deployment), Databricks, and cloud-based data engineering tools. Proficiency in SQL and Python. Knowledge of data modeling, database design, data lakehouse concepts, and data warehousing best practices. Solid understanding of data governance, data quality, and security standards. Familiarity with HR systems and data, ideally SAP SuccessFactors or comparable HCM platforms. Ability to translate HR process knowledge into data engineering solutions. Exposure to Power BI or other business intelligence tools (preferred, not required). Understanding of machine learning techniques (regression, classification, clustering, forecasting). Experience enabling data availability for analytics and reporting teams. Strong analytical and problem-solving capabilities. Ability to translate technical results into business insights. Excellent communication and data storytelling skills for technical and non-technical audiences. Collaborative mindset to work across HR, IT, and enterprise data teams. All qualified applicants shall be treated equally according to their individual qualifications, abilities, experiences, and other employment standards. There will be no discrimination due to gender or gender identity, race, religion, color, national origin, ancestry, age, disability, sexual orientation, veteran/military status, or any other basis protected by applicable law.

The role is part of the Data, Analytics and Reporting team. This role leads a team of data engineers and data testers to deliver secure, scalable, and high-quality data solutions that support analytics, reporting, and business operations. The Data Technology Lead collaborates with stakeholders to understand technology and data requirements, implements best practices for data governance and testing, and drives innovation in data engineering. The position involves managing modern cloud-based platforms, while fostering a culture of continuous improvement and technical excellence within the IT team. Job Responsibilities * Data Architecture & Engineering: Design, develop, and maintain robust data pipelines and architectures for structured and unstructured data; optimize workflows across Azure Data Lake, Snowflake, and other environments; implement best practices for data modeling and transformation using dbt. * Team Leadership: Lead and mentor data engineers and testers; manage workload distribution; foster collaboration and innovation. * Testing & Quality Assurance: Establish data testing frameworks; ensure data accuracy and reliability; integrate testing into broader QA processes. * Collaboration & Stakeholder Engagement: Partner with analytics, BI, and business teams to deliver data solutions; provide technical guidance. * Vendor & Tool Management: Evaluate and select tools and vendors; negotiate contracts and manage relationships. * Business Continuity: Develop and maintain disaster recovery and business continuity plans for data systems. Job Qualifications * 7+ years of experience in data engineering, with at least 2 years in a data leadership role. * Insurance industry experience required * Bachelor's degree in Computer Science, Information Technology, or a related field and/or commensurate experience. * Master's degree in related field is preferred. * Proficiency in SQL. * Optional skills in Python and experience with modern data frameworks (e.g., Spark). * Expertise in Snowflake, Azure Data Lake, dbt, and modern data platforms. * Strong experience in data integration, data warehousing, and data lake architectures. * Experience with Azure DevOps, CI/CD pipelines, and Git for code management * Awareness of Generative AI (GenAI) capabilities to accelerate development and testing processes. * Familiarity with data testing methodologies and tools. * Excellent leadership, communication, and problem-solving skills. Behavioral Competencies * Directs work * Collaborates * Develops talent * Customer focus * Communicates effectively * Ensures accountability * Decision quality * Business insight * Nimble learning * Builds effective teams * Manages complexity Technical Skills * Technical Support * Operating Systems * Workflow Management * Budgeting * Disaster Recovery * Process Improvement * Project Management * IT Strategy & Framework * IT Regulatory Compliance * Stakeholder Management This job description describes the general nature and level of work performed in this role. It is not intended to be an exhaustive list of all duties, skills, responsibilities, knowledge, etc. These may be subject to change and additional functions may be assigned as needed by management.

Job Description Zone IT Solutions is seeking a skilled Data Modeler for our team based in Amsterdam, Netherlands. In this role, you will be responsible for designing and maintaining efficient data models to support various business applications and reporting needs. Requirements Proven experience as a Data Modeler, with a strong understanding of database design principles. Minimum of 4 years of experience working with data modeling tools. Experience with relational databases such as SQL Server, Oracle, or MySQL. Familiarity with data warehousing concepts and techniques. Strong analytical skills and ability to interpret complex data sets. Experience with ER modeling and normalization techniques. Excellent communication skills to effectively collaborate with cross-functional teams. Knowledge of ETL processes and tools is a plus. 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.

The role is part of the Data, Analytics and Reporting team. This role leads a team of data engineers and data testers to deliver secure, scalable, and high-quality data solutions that support analytics, reporting, and business operations. The Data Technology Lead collaborates with stakeholders to understand technology and data requirements, implements best practices for data governance and testing, and drives innovation in data engineering. The position involves managing modern cloud-based platforms, while fostering a culture of continuous improvement and technical excellence within the IT team. Job Responsibilities Data Architecture & Engineering: Design, develop, and maintain robust data pipelines and architectures for structured and unstructured data; optimize workflows across Azure Data Lake, Snowflake, and other environments; implement best practices for data modeling and transformation using dbt. Team Leadership: Lead and mentor data engineers and testers; manage workload distribution; foster collaboration and innovation. Testing & Quality Assurance: Establish data testing frameworks; ensure data accuracy and reliability; integrate testing into broader QA processes. Collaboration & Stakeholder Engagement: Partner with analytics, BI, and business teams to deliver data solutions; provide technical guidance. Vendor & Tool Management: Evaluate and select tools and vendors; negotiate contracts and manage relationships. Business Continuity: Develop and maintain disaster recovery and business continuity plans for data systems. Job Qualifications 7+ years of experience in data engineering, with at least 2 years in a data leadership role. Insurance industry experience required Bachelor's degree in Computer Science, Information Technology, or a related field and/or commensurate experience. Master's degree in related field is preferred. Proficiency in SQL. Optional skills in Python and experience with modern data frameworks (e.g., Spark). Expertise in Snowflake, Azure Data Lake, dbt, and modern data platforms. Strong experience in data integration, data warehousing, and data lake architectures. Experience with Azure DevOps, CI/CD pipelines, and Git for code management Awareness of Generative AI (GenAI) capabilities to accelerate development and testing processes. Familiarity with data testing methodologies and tools. Excellent leadership, communication, and problem-solving skills. Behavioral Competencies Directs work Collaborates Develops talent Customer focus Communicates effectively Ensures accountability Decision quality Business insight Nimble learning Builds effective teams Manages complexity Technical Skills Technical Support Operating Systems Workflow Management Budgeting Disaster Recovery Process Improvement Project Management IT Strategy & Framework IT Regulatory Compliance Stakeholder Management This job description describes the general nature and level of work performed in this role. It is not intended to be an exhaustive list of all duties, skills, responsibilities, knowledge, etc. These may be subject to change and additional functions may be assigned as needed by management.

This is a contract-to-hire role located in Cleveland, Ohio. Must be a US Citizen or Green Card Holder, no 3rd party. Seeking a new Senior Data Engineer to join a growing Data Engineering team and play a leading role in modernizing the enterprise data platform. This person will be able to work on-site in Cleveland, Ohio, three (3) days per week/hybrid schedule. This position will assist with the design, development, and optimization of pipelines and infrastructure that support analytics, reporting, and advanced data solutions across the organization. The new Sr. Data Engineer will assist with the transition from legacy systems, DB2, and Talend to a SQL Server and AWS cloud-native stack powered by AWS Redshift, Airflow, DBT, and AWS Glue. This new Data Engineer will help shape architecture, set best practices, and mentor peers. This is a hands-on role ideal for someone who thrives in a fast- evolving technical environment and enjoys driving impactful data initiatives. Detailed job description available Qualifications AWS, ETL, Airflow, DBT, AWS Glue, DB2, SQL Server, Talend Additional Information All your information will be kept confidential according to EEO guidelines.

Type of Requisition: Pipeline Clearance Level Must Currently Possess: Top Secret Clearance Level Must Be Able to Obtain: Top Secret/SCI Public Trust/Other Required: None Job Family: Data Science and Data Engineering Job Qualifications: Skills: Artificial Intelligence (AI), Machine Learning (ML), Machine Learning Algorithms Certifications: None Experience: 5 + years of related experience US Citizenship Required: Yes Job Description: Own your opportunity to turn data into measurable outcomes for our customers' most complex challenges. As an AI/ML Engineer Senior at GDIT, you'll power innovation to drive mission impact and grow your expertise to power your career forward with an opportunity in Falls Church, VA. Advana is the Chief Digital and Artificial Intelligence Office's (CDAO) enterprise-wide, multi-domain data, analytics, and artificial intelligence (AI) platform that provides all DoD military and civilian decision makers, analysts, and builders with unprecedented access to enterprise data, tools, and capabilities. The Chief Data/AI Engineer shall work in conjunction with the Chief Engineer and be responsible for leading the DevSecOps of data analytic, AI/ML models, RPA applications and decision support applications, including template or sample applications for each, using the Advana multi-cloud and multi-enclave Platform. Required Qualifications: Minimum of five years of experience with full lifecycle and secure and automated development of at least one of the following: data management, data analytics or Artificial Intelligence (AI), Machine Learning (ML). Active TS security clearance with SCI eligibility. Desired Qualifications: Experience with data visualization packages in Python or similar programming languages. Experience with supervised and unsupervised deep learning algorithms like Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN), Gated Recurrent Unit (GRU) and advanced deep learning packages such as TensorFlow, Keras, Pytorch, Caffe, and Theano. Experience with one of the large cloud-computing infrastructure solutions similar to AWS, MS Azure, or Google Cloud Platform (GCP) environment. Experience utilizing Agile development methodologies and Application Lifecycle Management. Experience working with programming languages such as Java, C++, JSON, PHP, Perl, Python, Ruby, Pig/Hive, and/or Elixir. Master's Degree in a related technical discipline (e.g., Engineering, Mathematics, Computer Science) with specialization in one or more of the following (e.g., Data Science, AI, or Robotic Process Automation). GDIT IS YOUR PLACE At GDIT, the mission is our purpose, and our people are at the center of everything we do. Growth: AI-powered career tool that identifies career steps and learning opportunities Support: An internal mobility team focused on helping you achieve your career goals Rewards: Comprehensive benefits and wellness packages, 401K with company match, and competitive pay and paid time off Flexibility: Full-flex work week to own your priorities at work and at home Community: Award-winning culture of innovation and a military-friendly workplace OWN YOUR OPPORTUNITY Explore a career in data science and engineering at GDIT and you'll find endless opportunities to grow alongside colleagues who share your determination for solving complex data challenges. #Advana The likely salary range for this position is $125,528 - $169,832. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range. Scheduled Weekly Hours: 40 Travel Required: 10-25% Telecommuting Options: Onsite Work Location: USA VA Falls Church Additional Work Locations: Total Rewards at GDIT: Our benefits package for all US-based employees includes a variety of medical plan options, some with Health Savings Accounts, dental plan options, a vision plan, and a 401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match. To encourage work/life balance, GDIT offers employees full flex work weeks where possible and a variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave. To ensure our employees are able to protect their income, other offerings such as short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available. We regularly review our Total Rewards package to ensure our offerings are competitive and reflect what our employees have told us they value most.We are GDIT. A global technology and professional services company that delivers consulting, technology and mission services to every major agency across the U.S. government, defense and intelligence community. Our 30,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 50 countries worldwide, offering leading capabilities in digital modernization, AI/ML, Cloud, Cyber and application development. Together with our clients, we strive to create a safer, smarter world by harnessing the power of deep expertise and advanced technology.Join our Talent Community to stay up to date on our career opportunities and events at gdit.com/tc. Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans

Description We are looking for a skilled Data Engineer to join our team in Cleveland, Ohio. This long-term contract position offers the opportunity to contribute to the development and optimization of data platforms, with a primary focus on Snowflake and Apache Airflow technologies. You will play a key role in ensuring efficient data management and processing to support critical business needs. Responsibilities: - Design, develop, and maintain data pipelines using Snowflake and Apache Airflow. - Collaborate with cross-functional teams to implement scalable data solutions. - Optimize data processing workflows to ensure high performance and reliability. - Monitor and troubleshoot issues within the Snowflake data platform. - Develop ETL processes to support data integration and transformation. - Work with tools such as Apache Spark, Hadoop, and Kafka to manage large-scale data operations. - Implement robust data warehousing strategies to support business intelligence initiatives. - Analyze and resolve data-related technical challenges promptly. - Provide support and guidance during Snowflake deployments across subsidiaries. - Document processes and ensure best practices for data engineering are followed. Requirements - Proficiency in Snowflake and Apache Airflow for data engineering tasks. - Strong experience with Apache Spark, Hadoop, and Kafka. - Expertise in Python programming for data processing and automation. - Solid understanding of ETL processes and data transformation techniques. - Background in data warehousing and business intelligence methodologies. - Familiarity with Snowflake schema design and optimization. - Ability to work independently and adapt quickly to changing workloads. - Excellent problem-solving skills and attention to detail. Technology Doesn't Change the World, People Do. Robert Half is the world's first and largest specialized talent solutions firm that connects highly qualified job seekers to opportunities at great companies. We offer contract, temporary and permanent placement solutions for finance and accounting, technology, marketing and creative, legal, and administrative and customer support roles. Robert Half works to put you in the best position to succeed. We provide access to top jobs, competitive compensation and benefits, and free online training. Stay on top of every opportunity - whenever you choose - even on the go. Download the Robert Half app (https://www.roberthalf.com/us/en/mobile-app) and get 1-tap apply, notifications of AI-matched jobs, and much more. All applicants applying for U.S. job openings must be legally authorized to work in the United States. Benefits are available to contract/temporary professionals, including medical, vision, dental, and life and disability insurance. Hired contract/temporary professionals are also eligible to enroll in our company 401(k) plan. Visit roberthalf.gobenefits.net for more information. © 2025 Robert Half. An Equal Opportunity Employer. M/F/Disability/Veterans. By clicking "Apply Now," you're agreeing to Robert Half's Terms of Use (https://www.roberthalf.com/us/en/terms) .

**Advance Local** is looking for a **Senior Data Engineer** to design, build, and maintain the enterprise data infrastructure that powers our cloud data platform. This position will combine your deep technical expertise in data engineering with team leadership responsibilities for data engineering, overseeing the ingestion, integration, and reliability of data systems across Snowflake, AWS, Google Cloud, and legacy platforms. You'll partner with data product and across business units to translate requirements into technical solutions, integrate data from numerous third-party platforms, (CDPs, DMPs, analytics platforms, marketing tech) into central data platform, collaborate closely with the Data Architect on platform strategy and ensure scalable, well-engineered solutions for modern data infrastructure using infrastructure as code and API-driven integrations. The base salary range is $120,000 - $140,000 per year. **What you'll be doing:** + Lead the design and implementation of scalable data ingestion pipelines from diverse sources into Snowflake. + Partner with platform owners across business units to establish and maintain data integrations from third party systems into the central data platform. + Architect and maintain data infrastructure using IAC, ensuring reproducibility, version control and disaster recovery capabilities. + Design and implement API integrations and event-driven data flows to support real time and batch data requirements. + Evaluate technical capabilities and integration patterns of existing and potential third-party platforms, advising on platform consolidation and optimization opportunities. + Partner with the Data Architect and data product to define the overall data platform strategy, ensuring alignment between raw data ingestion and analytics-ready data products that serve business unit needs. + Develop and enforce data engineering best practices including testing frameworks, deployment automation, and observability. + Support rapid prototyping of new data products in collaboration with data product by building flexible, reusable data infrastructure components. + Design, develop, and maintain scalable data pipelines and ETL processes; optimize and improve existing data systems for performance, cost efficiency, and scalability. + Collaborate with data product, third-party platform owners, Data Architects, Analytics Engineers, Data Scientists, and business stakeholders to understand data requirements and deliver technical solutions that enable business outcomes across the organization. + Implement data quality validation, monitoring, and alerting systems to ensure reliability of data pipelines from all sources. + Develop and maintain comprehensive documentation for data engineering processes and systems, architecture, integration patterns, and runbooks. + Lead incident response and troubleshooting efforts for data pipeline issues, ensuring minimal business impact. + Stay current with the emerging data engineering technologies, cloud services, SaaS platform capabilities, and industry best practices. **Our ideal candidate will have the following:** + Bachelor's degree in computer science, engineering, or a related field + Minimum of seven years of experience in data engineering with at least two years in a lead or senior technical role + Expert proficiency in Snowflake data engineering patterns + Strong experience with AWS services (S3, Lambda, Glue, Step Functions) and Google Cloud Platform + Experience integrating data from SaaS platforms and marketing technology stacks (CDPs, DMPs, analytics platforms, CRMs) + Proven ability to work with third party APIs, webhooks, and data exports + Experience with infrastructure such as code (Terraform, Cloud Formation) and CI/CD pipelines for data infrastructure + Proven ability to design and implement API integrations and event-driven architecture + Experience with data modeling, data warehousing, and ETL processes at scale + Advanced proficiency in Python and SQL for data pipeline development + Experience with data orchestration tools (airflow, dbt, Snowflake tasks) + Strong understanding of data security, access controls, and compliance requirements + Ability to navigate vendor relationships and evaluate technical capabilities of third-party platforms + Excellent problem-solving skills and attention to detail + Strong communication and collaboraion skills **Additional Information** Advance Local Media offers competitive pay and a comprehensive benefits package with affordable options for your healthcare including medical, dental and vision plans, mental health support options, flexible spending accounts, fertility assistance, a competitive 401(k) plan to help plan for your future, generous paid time off, paid parental and caregiver leave and an employee assistance program to support your work/life balance, optional legal assistance, life insurance options, as well as flexible holidays to honor cultural diversity. Advance Local Media is one of the largest media groups in the United States, which operates the leading news and information companies in more than 20 cities, reaching 52+ million people monthly with our quality, real-time journalism and community engagement. Our company is built upon the values of Integrity, Customer-first, Inclusiveness, Collaboration and Forward-looking. For more information about Advance Local, please visit ******************** . Advance Local Media includes MLive Media Group, Advance Ohio, Alabama Media Group, NJ Advance Media, Advance Media NY, MassLive Media, Oregonian Media Group, Staten Island Media Group, PA Media Group, ZeroSum, Headline Group, Adpearance, Advance Aviation, Advance Healthcare, Advance Education, Advance National Solutions, Advance Originals, Advance Recruitment, Advance Travel & Tourism, BookingsCloud, Cloud Theory, Fox Dealer, Hoot Interactive, Search Optics, Subtext. _Advance Local Media is proud to be an equal opportunity employer, encouraging applications from people of all backgrounds. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, genetic information, national origin, age, disability, sexual orientation, marital status, veteran status, or any other category protected under federal, state or local law._ _If you need a reasonable accommodation because of a disability for any part of the employment process, please contact Human Resources and let us know the nature of your request and your contact information._ Advance Local Media does not provide sponsorship for work visas or employment authorization in the United States. Only candidates who are legally authorized to work in the U.S. will be considered for this position.

Job Details Strongsville OH - Strongsville, OH Information TechnologyDescription The Sr. Data Engineer is responsible for the strategic design of data architecture systems. Their job is to optimize databases, develop ETL solutions, and manage automatized data flow. Sr. Data Engineer will supervise database content and vouch for data quality. This position will function as a technical leader, making sure that the data architecture under your watch is secure and sustainable. You will work together with other teams on developing various data integration strategies. The Sr. Data Engineer will work directly with our IT Data Analytics partners to implement the next generation of data visualization and insights. At UHM, we understand diversity comes in many different forms. It's our commitment to improve inclusion in the workplace through programs and policies that establish a positive and inclusive environment where every Partner, regardless of their background, can grow and excel. We value diversity, educate on equity, and create inclusive partner opportunities to ensure that you know #UBelongAtUHM! ESSENTIAL DUTIES AND RESPONSIBILITIES include the following. Other duties may be assigned. Lead designing of all aspects of our data solution including artifact creation such as diagrams and other technical documents Build consensus around solutions where possible and give direction when needed\ Work closely with the Enterprise Data Warehouse Manager and team leads to implement a modern data and analytics platform. Partner with various business partners and technology leaders to translate program requirements into scalable technical solutions and system designs Work with technology teams to prototype and prove the viability of solutions Facilitate planning for production implementation of solutions Research, understand, and socialize new technology trends and products Provide leadership and expertise in the development of standards, architectural governance, design patterns, and practices Research and evaluate capability with other systems, alternative solutions and recommend the most efficient and cost-effective solution for system design Advises on mechanisms for delivering solutions that demonstrate effective business-IT alignment Provide testing and production support as necessary Maintain a detailed knowledge of the business' current technology and infrastructure, marketplace changes, and client processes Determine tools and strategies to address business problems through modeling and understanding key business processes and impact of technology on business processes Participate in all aspects of Scrum, including but not limited to daily stand-ups, estimation meetings, demos, and retrospectives Provide guidance and training to other team members in the form of feedback, lunch and learns, and day to day mentoring All other duties as assigned Qualifications EDUCATION AND/OR EXPERIENCE Bachelor's Degree in Computer Science, Data Analytics, or related field 8+ years of experience architecting, designing, developing, and maintaining large scale cloud data solutions 5+ years of SQL experience developing stored procedures, functions and other database objects 5+ years of ETL/ELT development experience, including the ingestion of real-time data 5+ years working with Azure cloud solutions. 3+ years working with Python in a data engineering role. Experience with Lakehouse Architecture. Databricks experience preferred. Expertise working with structured, semi-structured and unstructured data Expertise in Data Architecture, Data Profiling, Data Modeling, and Data Quality concepts Experience driving technical ideas and communicating clearly with technical as well as non-technical audiences Experience implementing enterprise data management processes, procedures, and decision support Proven experience designing database objects for OLAP and OLTP SKILLS Passion for data and analytics with a willingness to learn and adapt new technologies Familiarity with data visualization tools Excellent problem-solving skills Detail oriented with the ability to exercise sound judgment Self-motivated individual with excellent written and verbal communication skills Ability to take ownership of a project and manage multiple tasks simultaneously to meet established deadlines. A willingness to work both independently and in a team-oriented environment. Ability to coach and mentor other engineers on the team. This employer participates in E-Verify. If hired, the employer will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. Union Home Mortgage Corp. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Ready to help build a better future for generations to come? In an ever-changing, fast paced world, we owe it to ourselves and our future generations to live life responsibly. At ROCKWOOL, we work relentlessly to enrich modern living through our innovative stone wool solutions. Join us and make a difference! Your future team You will join our Factory of the Future team within Group R&D - a passionate community of specialists who develop and implement the latest technologies for stone wool production. Our team's mission is to transform the way we operate by building next-generation OT & IT solutions that drive smarter, more efficient, and more sustainable manufacturing. As part of this journey, we are expanding our Data Science and Engineering capabilities and you could be a key part of it. What you will be doing * Design, build, and automate data pipelines for industrial process analysis * Create systems for efficient storage and access to large-scale operational data * Ensure data quality, reliability, and accessibility for ML model training and deployment * Develop real-time visualizations and dashboards to monitor industrial operations * Engineer data infrastructure for deploying ML solutions both on-premises and in the cloud * Evaluate and validate new technologies in production environments * Collaborate closely with Data Scientists and stakeholders to align technology across all levels of the organization What you bring * 2+ years of experience in data engineering, preferably in a production or industrial setting * Experience with relational and non-relational databases (SQL, NoSQL, InfluxDB) * Solid programming skills in Python * Strong knowledge of data pipelines and ELT processes * Proficiency in data warehousing and data lake technologies (on-prem & cloud) * Experience with big data frameworks (Kafka, Apache Spark, Flink) * Understanding of IT/OT convergence and data quality management * Familiarity with cloud platforms (AWS, Azure, or GCP) * Experience with DevOps tools * Familiarity with Linux environments Tools and technologies you'll work with * Data storage: PostgreSQL, MS SQL Server, MongoDB, S3/MinIO * Transformation & orchestration: DBT, Apache Airflow, Luigi * Big data: Apache Kafka, Apache Flink, Apache Spark * Cloud platforms: AWS S3, Azure Blob Storage, GCP Cloud Storage * Visualization: Grafana, Apache Superset, Power BI * DevOps: Git, Docker, CI/CD, OpenShift What we offer By joining our team, you become a part of the people-centric work environment of a Danish company. We offer you a competitive salary, permanent contract after the probation period, development package, team building events, activity-based office in Poznan's city center in the new prestigious office building - Nowy Rynek. The building is recognized as a building without barriers, which means that it is fully adapted to the needs of people with disabilities. Our compensation package on employment contracts includes: * An office-first approach: home office is available up to 1 day per week * Adaptable Hours: start your workday anytime between 7:00 AM and 9:00 AM * Home office subsidy * Private Medical Care * Multikafeteria MyBenefit * Wellbeing program * Extra Day Off for voluntary activities … and while in the office you can also use modern office space with beautiful view and high standard furniture, bicycle parking facilities & showers, chill-out rooms with PlayStation, football table, pool table, board games, subsidized canteen with delicious food & fruit. Interested? If you recognize yourself in this profile and challenge, we kindly invite you to apply with CV written in English. Who we are We are the world leader in stone wool solutions. Founded in 1937 in Denmark, we transform volcanic rock into safe, sustainable products that help people and communities thrive. We are a global company with more than 12,200 employees, located in 40+ countries with 42 manufacturing facilities… all focused on one common purpose - to release the natural power of stone to enrich modern living. Sustainability is central to our business strategy. ROCKWOOL was one of the first companies to commit to actively contributing to the United Nations Sustainable Development Goals (SDGs) framework and are actively committed to 11 SDGs, including SDG 14, Life Below Water. Through our partnership with the One Ocean Foundation and in connection with our sponsorship of the ROCKWOOL Denmark SailGP team, we will help raise awareness around ocean health challenges in an effort to accelerate solutions to protect it. Diverse and Inclusive Culture We want all our people to feel valued, respected, included and heard. We employ 79 different nationalities worldwide and are committed to providing equal opportunities to all employees, promote diversity, and work against all forms of discrimination among ROCKWOOL employees. At ROCKWOOL, you will experience a friendly team environment. Our culture is very important to us. In fact, we refer to our culture as "The ROCKWOOL Way". This is the foundation in which we operate and is based upon our values of ambition, responsibility, integrity and efficiency.

Job DescriptionJob Summary:We are seeking a skilled and motivated Data Engineer with strong expertise in PySpark, SQL to join our Data Engineering team. You will be responsible for designing, building, and maintaining scalable data pipelines and processing systems that support our business intelligence, analytics, and machine learning initiatives.Key Responsibilities: Develop and maintain scalable, robust data pipelines using Scala and big data technologies. Work with large datasets from multiple sources to ingest, transform, and make data available for analytics and reporting. Collaborate with Data Scientists, Analysts, and other engineers to understand data requirements and deliver efficient solutions. Optimize ETL jobs for performance and cost. Ensure data quality, governance, and consistency across all environments. Monitor production jobs, troubleshoot issues, and ensure system reliability. Implement best practices for data engineering, including code reviews, testing, and documentation. Required Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, or related field. 6+ years of experience as a Data Engineer or in a similar role. Strong skills in PySpark and SQL (experience with functional programming is a plus). Hands-on experience with big data tools like Apache Spark, Kafka, Hadoop, or Hive. Proficiency in building ETL pipelines and working with structured and unstructured data. Experience with cloud platforms (e.g., AWS, Azure, GCP) and their data services. Familiarity with version control systems (e.g., Git), CI/CD, and DevOps practices. Solid understanding of data warehousing and data modeling concepts. Preferred Qualifications: Knowledge of SQL and database systems such as Postgres, Redshift, or Snowflake. Exposure to containerization technologies like Docker and orchestration tools like Airflow or Kubernetes.

Accenture Flex offers you the flexibility of local fixed-duration project-based work powered by Accenture, a leading global professional services company. Accenture is consistently recognized on FORTUNE's 100 Best Companies to Work For and Diversity Inc's Top 50 Companies For Diversity lists. As an Accenture Flex employee, you will apply your skills and experience to help drive business transformation for leading organizations and communities. In addition to delivering innovative solutions for Accenture's clients, you will work with a highly skilled, diverse network of people across Accenture businesses who are using the latest emerging technologies to address today's biggest business challenges. You will receive competitive rewards and access to benefits programs and world-class learning resources. Accenture Flex employees work in their local metro area onsite at the project, significantly reducing and/or eliminating the demands to travel. Key Responsibilities: + Utilize strong SQL & Python skills to engineer sound data pipelines and conduct routine and ad hoc analysis to assess the performance of legacy products and the saliency of new features. + Build reporting dashboards and visualizations to design, create and track campaign/program KPIs. + Perform analyses on large data sets to understand drivers of operational efficiency. + Manage end-to-end process of analytic tooling feature development, including request intake, requirements evaluation, cross-functional team alignment, feature execution, QA testing, and stakeholder communication. + Consult with business analysts, technical data SMEs, and cross-functional partners to understand their reporting and data needs, serving as the point of contact for requests, inquiries, and actions Interface with other data engineering, product, and data science teams to implement client needs and initiatives. *Location: Remote - Bay Area Preferred Basic Qualifications: + Minimum 5 years of experience as a Data Engineer + High School Diploma or GED Preferred Qualifications: + Experience with programming languages SQL and Python Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired in California, Colorado, District of Columbia, Illinois, Maryland, Minnesota, New York/New Jersey or Washington as set forth below. We accept applications on an on-going basis and there is no fixed deadline to apply. Information on benefits is here. (************************************************************************************** Role Location Hourly Salary Range California $62.98 to $72.98 Cleveland $62.98 to $72.98 Colorado $62.98 to $72.98 District of Columbia $62.98 to $72.98 Illinois $62.98 to $72.98 Maryland $62.98 to $72.98 Massachusetts $62.98 to $72.98 Minnesota $62.98 to $72.98 New York/New Jersey $62.98 to $72.98 Washington $62.98 to $72.98 Requesting an Accommodation Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired. If you would like to be considered for employment opportunities with Accenture and have accommodation needs such as for a disability or religious observance, please call us toll free at **************** or send us an email or speak with your recruiter. Equal Employment Opportunity Statement We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities. For details, view a copy of the Accenture Equal Opportunity Statement (******************************************************************************************************************************************** Accenture is an EEO and Affirmative Action Employer of Veterans/Individuals with Disabilities. Accenture is committed to providing veteran employment opportunities to our service men and women. Other Employment Statements Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States. Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration. Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Further, at Accenture a criminal conviction history is not an absolute bar to employment. The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information. California requires additional notifications for applicants and employees. If you are a California resident, live in or plan to work from Los Angeles County upon being hired for this position, please click here for additional important information. Please read Accenture's Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process.

At STERIS, we help our Customers create a healthier and safer world by providing innovative healthcare and life science product and service solutions around the globe. The Lead Data Engineer demonstrates mastery of skills and knowledge and is a mentor, strategist, thought leader, evangelist, champion, Plans and leads data engineering activities. Responsible for overseeing the design, development, deployment, and maintenance of scalable and robust data solutions. Develops and manages data integration pipelines connecting disparate data sources. Works closely with data architects, data scientists, analysts, and other stakeholders to support business needs in analytical and data solutions/projects. Collaborates with Infrastructure and DBA teams to ensure appropriate infrastructure is in place. Optimizes and streamlines data processing efforts to ensure data quality, security, privacy, on time delivery and compliance. Provides technical leadership, mentorship, reviews deliverables and provides feedback to the data engineering team. What You'll do as a Lead Data Engineer * Data Architecture and Technical Infrastructure: Defines, plans, designs and support implementation of enterprise data architectures and enterprise data platform. Plans and leads data engineering activities for strategic, large, and complex programs. Leads the selection and development of data engineering methods, tools, and techniques. * SDLC Methodology & Project Management: Plans technical transitions between development, testing, and production phases of solutions' lifecycle, and the facilitation of the change control, problem management, and communication processes. * Innovation, Continuous Improvement & Optimization: Develops organizational policies, standards, and guidelines for the development and secure operation of data services and products. Ensures adherence to technical strategies and architectures. * Data Modelling / Designing Datasets: Coordinates the application of analysis, design, and modelling techniques to establish, modify or maintain data structures and their associated components. Manages the iteration, review and maintenance of data requirements and data models. * Partnership and Community Building: Collaborates with other IT teams, business community, data scientists and other architects to meet business requirements. * Data Pipeline/ETL: Sets standards for data modelling and design tools and techniques, advises on their application, and ensures compliance. Defines and implements administration and control activities related to data warehouse planning and development and the establishment of policies and procedures pertaining to its management, security, maintenance, and utilization. * Support & Operations: Manages the investigation of enterprise data requirements based upon a detailed understanding of information requirements. * Data Governance and Data Quality: Ensures that data is reliable, secure, and timely. Implement Data privacy and best practices. Defines, designs and implements data quality assessment and improvement methodology, processes and solutions. * End-User Support, Education and Enablement: Plans, designs, develops and facilitates training and Data Literacy initiatives within the team and End user community. * Metadata Management & Documentation: Ensure standards, and best practices in documentation of Metadata, Data Engineering processes and Architectures. The Experience, Abilities and Skills Needed * Bachelor's Degree and 6+ years of experience * Development, maintenance, and enhancement of Data Pipelines (ETL/ELT) and processes with thorough knowledge of star/snowflake schemas * Developing complex SQL queries and SQL optimization * Development experience must be full Life Cycle experience including business requirements gathering, data sourcing, testing/data reconciliation, and deployment within Business * Intelligence/Data Warehousing Architecture. * Designing and implementing data security * Monitoring and optimizing data storage and data processing * Delivering Data Solutions using Cloud Technologies * Advanced SQL skills and experience with relational databases and database design like Oracle and SQLSERVER. * Significant experience working with cloud Data Warehouse and Data Lake solutions (e.g., Snowflake, Redshift, BigQuery, Azure Data Lake Storage, Amazon S3, etc.) * Experience working with data ingestion tools such as: Informatica, IDMC, IICS, Power Center, Fivetran, stitch, or Matillion. * Working knowledge of Cloud-based solutions (e.g., Azure, AWS and GCP). * Experience building and deploying machine learning models in production. * Strong proficiency in object-oriented languages: Python, Java, C++, Scala. * Strong proficiency in scripting languages like Bash. * Strong proficiency in data pipeline and workflow management tools (e.g., Airflow, Azkaban). * Familiarity with big data frameworks such as Apache Hadoop and Apache Spark * Strong project management and organizational skills. * Excellent problem-solving, communication, and organizational skills. * Demonstrated leadership experience and skills * Ability to communicate effectively and influence technical and business stakeholders at all levels of the organization What STERIS Offers At STERIS, we invest in our employees and their families for the long term! STERIS wouldn't be where it is today without our incredible people. We shares our success together with you by rewarding you for your hard work and achievements. Here is just a brief overview of what we offer: * Competitive Pay * Extensive Paid Time Off and (9) added Holidays. * Excellent healthcare, dental, and vision benefits * 401(k) with a company match * Long/Short term disability coverage * Parental Leave * Additional add-on benefits/discounts for programs such as Pet Insurance * Continued training and educations programs * Excellent opportunities for advancement in a stable long-term career * #LI-KS1 #LI-Hybrid Pay range for this opportunity is $105,000-$125,000. This position is eligible for bonus participation. Minimum pay rates offered will comply with county/city minimums, if higher than range listed. Pay rates are based on a number of factors, including but not limited to local labor market costs, years of relevant experience, education, professional certifications, foreign language fluency, etc. STERIS offers a comprehensive and competitive benefits portfolio. Click here for a complete list of benefits: STERIS Benefits Open until position is filled. STERIS is a leading global provider of products and services that support patient care with an emphasis on infection prevention. WE HELP OUR CUSTOMERS CREATE A HEALTHIER AND SAFER WORLD by providing innovative healthcare and life sciences products and services around the globe. For more information, visit *************** If you need assistance completing the application process, please call ****************. This contact information is for accommodation inquiries only and cannot be used to check application status. STERIS is an Equal Opportunity Employer. We are committed to equal employment opportunity to ensure that persons are recruited, hired, trained, transferred and promoted in all job groups regardless of race, color, religion, age, disability, national origin, citizenship status, military or veteran status, sex (including pregnancy, childbirth and related medical conditions), sexual orientation, gender identity, genetic information, and any other category protected by federal, state or local law. We are not only committed to this policy by our status as a federal government contractor, but also we are strongly bound by the principle of equal employment opportunity. The full affirmative action program, absent the data metrics required by § 60-741.44(k), shall be available to all employees and applicants for employment for inspection upon request. The program may be obtained at your location's HR Office during normal business hours.

- Analyze large amounts of complex data to extract insights and drive decision-making through data visualization tools and presentation. - Design, develop and program methods, processes, and systems to consolidate and analyze structured, unstructured, and diverse "big data" sources to generate actionable insights and solutions - Interact with marketing teams to identify questions and issues for data analysis and experiments. - Understand and apply key business concepts, strategies, and practices to effectively analyze how data aligns with business objectives and impacts decision-making processes. - Identify meaningful insights from large data and metadata sources; interpret and communicate insights and findings from analysis and experiments to marketing and business managers. - Develop statistical models, machine learning algorithms, and predictive analytics solutions to address business challenges. We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to ********************.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: **************************************************** Skills and Requirements Bachelor's degree in Data Science, Marketing Analytics, Statistics, Math, Business Analytics, or related field, or in lieu of related degree, at least 7 years of experience in AI, Data Science, or related field 7+ years of experience in AI, Data Science, or related field Knowledge of machine learning algorithms, statistical models, and data mining techniques Experience in designing and implementing data-related AI solutions for complex business problems Excellent communication and stakeholder management skills, with the ability to present technical ideas and results to non-technical audiences The Senior Data Scientist specializes in developing and programming methods, processes, and systems to consolidate and analyze structured, unstructured and/or diverse "big data" sources to generate insights and solutions for marketing groups. This involves identifying insights from data, interpreting and communicating findings to management. By using statistical analysis, Machine Learning (ML) techniques, and data visualization, the Senior Data Scientist will uncover patterns and trends within data to help the business make informed decisions and solve complex problems

This is a contract-to-hire role located in Cleveland, Ohio. Must be a US Citizen or Green Card Holder, no 3rd party. Seeking a new Senior Data Engineer to join a growing Data Engineering team and play a leading role in modernizing the enterprise data platform. This person will be able to work on-site in Cleveland, Ohio, three (3) days per week/hybrid schedule. This position will assist with the design, development, and optimization of pipelines and infrastructure that support analytics, reporting, and advanced data solutions across the organization. The new Sr. Data Engineer will assist with the transition from legacy systems, DB2, and Talend to a SQL Server and AWS cloud-native stack powered by AWS Redshift, Airflow, DBT, and AWS Glue. This new Data Engineer will help shape architecture, set best practices, and mentor peers. This is a hands-on role ideal for someone who thrives in a fast- evolving technical environment and enjoys driving impactful data initiatives. Detailed job description available Qualifications AWS, ETL, Airflow, DBT, AWS Glue, DB2, SQL Server, Talend Additional Information All your information will be kept confidential according to EEO guidelines.

At STERIS, we help our Customers create a healthier and safer world by providing innovative healthcare and life science product and service solutions around the globe. The BIA Data Engineer Designs, implements, and maintains complex data engineering solutions in the Business Intelligence and Analytics team Responsible for design, development, implementation, testing, documentation, and support of analytical and data solutions/projects requiring data aggregation/data pipelines/ETL/ELT from multiple sources into an efficient reporting mechanism, database/data warehouse using appropriate tools like Informatica, Azure Data Factory, SSIS. This includes interacting with business to gather requirements, analysis, and creation of functional and technical specs, testing, training, escalation, and follow-up. Support of the applications would include resolving issues reported by users. Issues could be caused by bugs in the application or user errors or programming errors. Resolution process will include, but not limited to, investigate known bugs on software vendor support website, create tickets or service requests with software vendor, develop scripts to fix data issues, make program changes, test fixes and apply the changes to production. These tasks and activities will be completed with the help and under the guidance of the supervisor. Participation in team and / or project meetings, to schedule work and discuss status, will be required. The position also requires staying abreast with changes in technology, programming languages, and software development tools. What You'll do as a Data Engineer * Data Pipeline/ETL (40%): Designs and implements data stores and ETL data flows and data pipelines to connect and prepare operational systems data for analytics and business intelligence (BI) systems. * Support & Operations (10%): Manages production deployments and automation, monitoring, job control and production support. Works with business users to test programs in Development and Quality. Investigates issues using vendor support website(s). * Data Modeling/Designing Datasets (10%): Reviews and understands business requirements for development tasks assigned and applies standard data modelling and design techniques based upon a detailed understanding of requirements. * Data Architecture and Technical Infrastructure (10%): Plans and drives the development of data engineering solutions ensuring that solutions balance functional and non-functional requirements. Monitors application of data standards and architectures including security and compliance. * SDLC Methodology & Project Management (5%): Contributes to technical transitions between development, testing, and production phases of solutions' lifecycle, and the facilitation of the change control, problem management, and communication processes. * Data Governance and Data Quality (5%): Identifies and investigates data quality/integrity problems, determine impact and provide solutions to problems. * Metadata Management & Documentation (5%): Documents all processes and mappings related to Data Pipelines work and follows development best practices as adopted by the BIA team * End-User Support, Education and Enablement (5%): Contributes to training and Data Literacy initiatives within the team and End user community. * Innovation, Continuous Improvement & Optimization (5%): Continuously improves and optimizes existing Data Engineering assets/processes. * Partnership and Community Building (5%): Collaborates with other IT teams, Business Community, data scientists and other architects to meet business requirements. Interact with DBAs on data designs optimal for data engineering solutions performance. The Experience, Abilities and Skills Needed * Bachelor's Degree and 2-4 years of relevant experience * Development, maintenance, and enhancement of Data Pipelines (ETL/ELT) and processes with thorough knowledge of star/snowflake schemas * Developing complex SQL queries and SQL optimization * Development experience must be full Life Cycle experience including business requirements gathering, data sourcing, testing/data reconciliation, and deployment within Business Intelligence/Data Warehousing Architecture. * Understanding of Data Architecture * Knowledge of ETL and data engineering standards and best practices for the design and development of data pipelines and data extract, transform and load processes * Design, build and test data products based on feeds from multiple systems, using a range of different storage technologies, access methods or both * Knowledge of data warehousing concepts, including multi-dimensional models and ETL logic for maintaining star-schemas * Good Understanding of concepts and principles of data modelling. * Ability to produce, maintain and update relevant data models for specific needs. * Can reverse-engineer data models from a live system * SQL programming desirable (i.e., stored procedures dev.) * Proficient in data analysis, defect identifications and resolutions. * Strong professional verbal and written communication skills. * Ability to work with little supervision and within changing priorities. * Ability to analyze requirements and troubleshoot problems. What STERIS Offers At STERIS, we invest in our employees and their families for the long term! STERIS wouldn't be where it is today without our incredible people. We share our success together with you by rewarding you for your hard work and achievements. Here is just a brief overview of what we offer: * Competitive Pay * Extensive Paid Time Off and (9) added Holidays. * Excellent healthcare, dental, and vision benefits * 401(k) with a company match * Long/Short term disability coverage * Parental Leave * Additional add-on benefits/discounts for programs such as Pet Insurance * Continued training and educations programs * Excellent opportunities for advancement in a stable long-term career * #LI-KS1 #LI-Hybrid Pay range for this opportunity is $70,000-95,000. This position is eligible for bonus participation. Minimum pay rates offered will comply with county/city minimums, if higher than range listed. Pay rates are based on a number of factors, including but not limited to local labor market costs, years of relevant experience, education, professional certifications, foreign language fluency, etc. STERIS offers a comprehensive and competitive benefits portfolio. Click here for a complete list of benefits: STERIS Benefits Open until position is filled. STERIS is a leading global provider of products and services that support patient care with an emphasis on infection prevention. WE HELP OUR CUSTOMERS CREATE A HEALTHIER AND SAFER WORLD by providing innovative healthcare and life sciences products and services around the globe. For more information, visit *************** If you need assistance completing the application process, please call ****************. This contact information is for accommodation inquiries only and cannot be used to check application status. STERIS is an Equal Opportunity Employer. We are committed to equal employment opportunity to ensure that persons are recruited, hired, trained, transferred and promoted in all job groups regardless of race, color, religion, age, disability, national origin, citizenship status, military or veteran status, sex (including pregnancy, childbirth and related medical conditions), sexual orientation, gender identity, genetic information, and any other category protected by federal, state or local law. We are not only committed to this policy by our status as a federal government contractor, but also we are strongly bound by the principle of equal employment opportunity. The full affirmative action program, absent the data metrics required by § 60-741.44(k), shall be available to all employees and applicants for employment for inspection upon request. The program may be obtained at your location's HR Office during normal business hours.