JOB REQUIREMENTS: Work on collecting, storing, processing, and building Business Intelligence and Analytics applications within our Cloud data warehouse. Presently, our team is constructing an enterprise data lake to enable analysts and scientists to self-service data at scale across American Family\'s operating companies. We\'re leveraging open- source technologies like Python and Pandas in addition to cloud native tools to curate high-quality data sets. You\'ll also be responsible for integrating these applications with the architecture used across the organization. Adjacent responsibilities include establishing best practices with respect to data integration, data visualization, schema design, performance and reliability of data processing systems, supporting data quality, and enabling convenient access to data for our scientists and business users. Telecommuting is available. Position requires a bachelor\'s degree in Information Systems, Information Technology, Computer Science, Electronics and Communication Engineering or related fields Additionally position requires 5 years of progressive work experience. Experience must include 5 years of working in software development life cycle and/or agile development environment with emphasis on BI practices; 4 years SQL experience using a variety of data stores; 4 years business intelligence tools; 4 years of ETL, Data Modeling and/or Data Architecture; 3 years of developing and automate data quality checks; 2 years of Python or Java experience; 1 year experience in Big Data and Cloud Technologies GCP or AWS. Alternatively employer will accept a master\'s degree in Information Systems, Information Technology, Computer Science, Electronics and Communication Engineering or related fields Additionally position requires 2 years of progressive work experience. Experience must include 2 years of working in software development life cycle and/or agile development environment with emphasis on BI practices; 2 years SQL experience using a variety of data stores; 2 years business intelligence tools; 2 years of ETL, Data Modeling and/or Data Architecture; 2 years of developing and automate data quality checks; 2 years of Python or Java experience; 1 year experience in Big Data and Cloud Technologies GCP or AWS. Send Resumes to: careers@amfam.com, Subject: Ref #CA1003 ***** APPLICATION INSTRUCTIONS: Apply Online: www.amfam.com

Our work matters. We help people get the medicine they need to feel better and live well. We do not lose sight of that. It fuels our passion and drives every decision we make.

Job Posting Title

Sr. IT Software Engineer - GCP (Sr. Data Engineer) - Remote

Job Description

The Sr. Software Engineer - GCP (Sr. Data Engineer - GCP) is responsible for leading the design of technology solutions to ensure they meet all resiliency, stability, non-functional, functional and operational readiness use cases. This position is responsible for owning the technology solutions within their area, including proactive monitoring and alerting, technological roadmap and communication of overall health and future sustainability. We are looking for someone with:

Proficiency in GCP services such as Cloud Storage, BigQuery, CloudSQL, Dataflow, AirFlow, Composer and others.

Strong programming skills in languages used in cloud development such as Python etc.

Responsibilities

Lead design to ensure the technology solutions meet all resiliency, stability, non-functional, functional and operational readiness use cases

Lead ongoing development, maintenance and support of existing systems and platforms

Manage work direction, lead, influence, and provide feedback to other team members

Participate in staffing plans to identify subject matter experts (SMEs) and provide feedback for staff performance reviews

Own technology solutions within area, including proactive monitoring and alerting, technological roadmap and communication of overall health and future sustainability

Drive innovation & continuous improvement

Other duties as assigned

Minimum Qualifications

Bachelor’s degree in Computer Science or related area of study, or equivalent combination of education and/or relevant work experience; High School Diploma or GED equivalent required

5 years of experience with application development or packaged software implementations

Must be eligible to work in the United States without need for work visa or residency sponsorship

Preferred Technical Qualifications:

Experience working with large data models and data architecture principles.

Proficiency in GCP services such as Cloud Storage, BigQuery, CloudSQL, Dataflow, Composer and others.

Strong programming skills in languages used in cloud development such as Python.

Understanding of cloud computing principals, including infrastructure as a service(IaaS), Platform as a Service(PaaS), and Software as a Service(SaaS).

Experience working with Google Cloud SDK and APIs to interact with GCP services programmatically and automate tasks.

Knowledge of containerization technologies such as Docker and container orchestration platforms like Kubernetes for deploying and managing containerized applications on GCP.

Understanding of serverless computing concepts and experience developing serverless applications using GCP services like Cloud Functions and Cloud Run.

Experience setting up CI/CD pipelines using tools like GitHub to automate software deployment on GCP.

Proficiency in development tools and IDEs such as Google Cloud Shell, Cloud Code for Visual Studio Code or Cloud Tools for IntelliJ.

Additional Qualifications

Ability to speak up to address risk and opportunities

Strong problem-solving and analysis skills

Ability to transition abstract concepts into stable and supportable software solutions

Ability to develop unbiased options and recommendations to technical problems and unbiased comparisons

Strong traits of decisiveness and judgment

Ability to drive innovation and be forward thinking

Excellent documentation skills

Preferred Qualifications

Experience working in environment with regulatory compliance requirements (HIPAA, PCI, etc.)

Previous experience working an in Agile/Product Delivery model

Previous experience in PBM / health care industry

Understanding of security implications of domain

Minimum Physical Job Requirements

Ability to travel up to 5% of the time

Ability to work a flexible schedule including weekends and shifts outside of Prime’s core business hours of 9:00 a.m. to 3:00 p.m. as needed for technical support and/or project needs

Constantly required to sit, use hands to handle or feel, talk and hear

Frequently required to reach with hands and arms

Occasionally required to stand, walk and stoop, kneel, and crouch

Occasionally required to lift and/or move up to 10 pounds and occasionally lift and/or move up to 25 pounds

Specific vision abilities required by this job include close vision, distance vision, color vision, peripheral vision, depth perception and ability to adjust focus

Reporting Structure

Reports to a Manager in the Information Technology department

Potential pay for this position ranges from $87,200.00 - $139,400.00 based on experience and skills. Pay range may vary by 8% depending on applicant location.

To review our Benefits, Incentives and Additional Compensation, visit our Benefits Page (https://www.primetherapeutics.com/benefits) and click on the "Benefits at a glance" button for more detail.

Prime Therapeutics LLC is proud to be an equal opportunity and affirmative action employer. We encourage diverse candidates to apply, and all qualified applicants will receive consideration for employment without regard to race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, or any other basis protected by law.

We welcome people of different backgrounds, experiences, abilities, and perspectives including qualified applicants with arrest and conviction records and any qualified applicants requiring reasonable accommodations in accordance with the law.

Prime Therapeutics LLC is a Tobacco-Free Workplace employer.

Positions will be posted for a minimum of five consecutive workdays.

Prime Therapeutics' fast-paced and dynamic work environment is ideal for proactively addressing the constant changes in today's health care industry. Our employees are involved, empowered, and rewarded for their achievements. We value new ideas and work collaboratively to provide the highest quality of care and service to our members.

If you are looking to advance your career within a growing, team-oriented, award-winning company, apply to Prime Therapeutics today and start making a difference in people's lives.

Prime Therapeutics LLC is proud to be an equal opportunity and affirmative action employer. We encourage diverse candidates to apply, and all qualified applicants will receive consideration for employment without regard to race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, or any other basis protected by law.

We welcome people of different backgrounds, experiences, abilities, and perspectives including qualified applicants with arrest and conviction records and any qualified applicants requiring reasonable accommodations in accordance with the law.

Prime Therapeutics LLC is a Tobacco-Free Workplace employer.

If you are an applicant with a disability and need a reasonable accommodation for any part of the employment process, please contact Human Resources at 1.866.469.1257 or email Careers@primetherapeutics.com.

<h3>Job Summary:</h3><p>The Office of Informatics and Information Technology is looking for an outstanding candidate for a Data Engineer II position to contribute to the innovative informatics efforts for the UW Institute for Clinical and Translational Research and the Clinical and Translational Science Award. Reporting to the Research Data Service Director, the Data Engineer II will be responsible for contributing to building the UW Real World Data Commons (UW-RWDC) mapping data across platforms and common data models including OMOP, i2b2, TriNetX, and mCODE. These resources contribute to investigator self-service and deriving meaningful insights from data, which is an increasing focus for research at UW SMPH. As part of the Informatics Data Service Team, the role of this Data Engineer will also be responsible for data quality assurance and quality control. Additionally, the incumbent will work to develop queries that translate research objectives into datasets retrieved from the UW-RWDC. The successful candidate will have a solid work ethic and bring an enthusiastic and professional attitude to the workplace.</p><h3>Responsibilities:</h3><ul><li>30% Prepares data sets for current and future analysis including cleaning/quality assurance, transformations, restructuring, and integration of multiple data sources and may use technologies that support data at scale.</li><li>15% Implements data analysis steps in collaboration with data scientists, statisticians, and/or other researchers and may use technologies that support data at scale.</li><li>15% Organizes both data preparation and analysis steps into reproducible pipelines that can process similar data sets automatically.</li><li>5% Selects appropriate technologies and optimizes pipelines for performance.</li><li>20% Develops, constructs, tests, and maintains architectures for large-scale data management and analysis.</li><li>15% Serves as an institutional subject matter expert and liaison to key internal and external stakeholders regarding automated data management and analysis at scale for research and represents the interests of large-scale data management and analysis for research.</li></ul><h3>Education:</h3><p>Preferred: Bachelor's Degree</p><h3>Qualifications:</h3><p>Required qualifications:<br/>- Experience writing SQL code to extract and manipulate data from large relational databases<br/>- Experience writing Python code to manipulate and analyze datasets<br/>- Experience developing analytics dashboards<br/>- Strong organizational, analytical, verbal and written communication skills, and interpersonal skills<br/><br/>Preferred:<br/>- Experience developing data pipelines with Microsoft Azure Data Factory<br/>- Experience Designing, Building & Maintaining Databases<br/>- Experience with FHIR and HL7 data feeds<br/>- Experience with clinical vocabularies (ICD, LOINC, SNOMED, CPT, etc.)<br/>- Experience with clinical research common data models (OMOP, i2b2, PCORNet)<br/>- Certified in Epic Cogito Clinical Data Model<br/>- Experience developing Natural Language Processing algorithms<br/>- Experience working with web APIs<br/>- Knowledge of HIPAA and other regulations governing PHI<br/>- Experience reviewing other team member's technical work and providing constructive feedback<br/><br/>Strong people and communication skills are required. The ideal candidate is curious, self-motivated, and able to work with minimal supervision. The selected candidate must be committed to providing quality customer service and uphold SMPH core values of respect, integrity, teamwork, excellence, leadership, inclusivity, innovation, collaboration, accountability, and communication.</p><h3>Work Type:</h3><p>Full Time: 100%<br/>It is anticipated this position will be remote and requires work be performed at an offsite, non-campus work location. An on campus location will be provided should a candidate prefer to work partially or fully onsite.</p><h3>Appointment Type, Duration:</h3><p>Ongoing/Renewable</p><h3>Salary:</h3><p><strong>Minimum</strong> $80,000 ANNUAL (12 months)<br/>Depending on Qualifications<br/>The starting salary for the position is $80,000 but is negotiable based on experience and qualifications.<br/><br/>Employees in this position can expect to receive benefits such as generous vacation, holidays, and sick leave; competitive insurances and savings accounts; retirement benefits. Benefits information can be found at (<a href="#">https://hr.wisc.edu/benefits/</a>).</p><h3>How to Apply:</h3><p>To apply for this position, please click on the "Apply Now" button. You will be asked to upload a current resume/CV and a cover letter briefly describing your qualifications and experience.</p><h3>Contact:</h3><p>Cody Roekle<br/><a href="#">croekle@wisc.edu</a><br/>608-263-7676<br/>Relay Access (WTRS): 7-1-1. See <a href="#">RELAY_SERVICE</a> for further information.</p><h3>Official Title:</h3><p>Data Engineer II(RE065)</p><h3>Department(s):</h3><p>A53-MEDICAL SCHOOL/Informatics and IT</p><h3>Employment Class:</h3><p>Academic Staff-Renewable</p><h3>Job Number:</h3><p>308203-AS</p>
#J-18808-Ljbffr

<p><strong>Why Jerry?</strong></p><ul><li><p>Join a pre-IPO startup with capital, traction and runway ($240M funded | 40X revenue growth in 4 years | $2T market size)</p></li><li><p>Work closely with brilliant leaders and team members who have scaled companies like Nvidia, Better, Nerdwallet, Wayfair, Sofi, etc.</p></li><li><p>Disrupt a massive market and take us to a $5B business in the next few years</p></li><li><p>Be immersed in a talent-dense environment and greatly accelerate your career growth</p></li></ul><p><strong>About the opportunity:</strong></p><p>Jerry is building the first AllCar super app to help people optimize all aspects of owning a car – insurance, buy/sell, registration, loans, safety, repairs, parking, etc – a $2T market in the U.S. We started with insurance in 2019, and since then we’ve launched loan refinancing, real-time driving insights, a repair marketplace, car diagnostics, and a GenAI-powered chatbot. We have amassed over 5M customers, raised $240MM in funding, scaled our revenue 40X and our team to 250 across 7 countries.</p><p>The Data team at Jerry is responsible for supporting intelligent business decision making through analytical insights and advanced models. As a senior data engineer, you bring your previous industry experience in infrastructure scaling to Jerry and lead the development of a new infrastructure solution that will continue to perform with great stability and efficiency even when the company grows 10x bigger. You will join a team of data engineers, data analysts, and data scientists who operate with urgency and passion for excellence in pursuit of our mission to build the first AllCar super app.</p><p><strong>How you will make an impact:</strong></p><ul><li><p>Partner with data scientists, software engineers and cross-functional stakeholders (Marketing, Operations, Finance) to build data pipelines that will provide critical data and insights to drive growth for the business, while ensuring data availability and accuracy</p></li><li><p>Partner with data scientists and machine learning engineers to evolve, optimize, and integrate critical predictive models</p></li><li><p>Partner with software engineers and data scientists to build data pipelines to consume and refine application data</p></li><li><p>Define data engineering standards and best practices and drive operational excellence</p></li><li><p>Perform regular maintenance and optimization of our data infrastructure</p></li></ul><p><strong>Ideal profile:</strong></p><ul><li><p>Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related technical discipline. Master’s degree in Computer Science or Engineering preferred.</p></li><li><p>5+ years of experience in data engineering or a similar role</p></li><li><p>Proven success in communication with database users, software engineers and senior management to collect requirements, discuss data modeling decisions and define data engineering strategies</p></li><li><p>Outstanding communication and problem solving skills, eager to work on the most pressing business problems and drive impact for the company</p></li><li><p>Experience with data modeling, data warehousing, and ETL pipeline development</p></li><li><p>Experience with column-based databases (Amazon Redshift, ClickHouse, etc.) and infrastructure integration with analytical platforms (Tableau, Qlik, Power BI, etc.)</p></li><li><p>Hands-on experience and advanced knowledge of SQL</p></li><li><p>Experience with big data technologies (Spark, Clickhouse, Redshift, Snowflake etc.)</p></li><li><p>Experience in process automation and deployment of advanced machine learning models</p></li></ul><p><em>While we appreciate your interest and application, only applicants under consideration will be contacted.</em></p><p><em>Jerry is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity or expression, veteran status, genetic information, or other characteristics protected by applicable local, state or federal laws.</em></p><p><em>Jerry is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at <a href="#">recruiting@getjerry.com</a>.</em></p><p><strong>About Jerry:</strong></p><p>Jerry is America’s first and only AllCar app. We are redefining and radically improving how people manage owning a car, one of their most expensive and time-consuming assets.</p><p>Backed by artificial intelligence and machine learning, Jerry simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry does it all.</p><p>We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers — and we’re just getting started.</p><p>Jerry was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing.</p><p>Join our team and work with passionate, curious and egoless people who love solving real-world problems. Help us build a revolutionary product that’s disrupting a massive market.</p>
#J-18808-Ljbffr

<p>The University of Wisconsin–Madison's Center for Healthy Minds is looking for a Data Engineer II to join their Office of Informatics and Information Technology. The role is designed to support the clinical informatics requirements of the Department of Anesthesiology, focusing on data quality assurance and the development of data pipelines to meet research goals.</p><p><strong>In this role you can expect to have the responsibilities:</strong>
</p><ul><li>Prepare data sets for analysis including cleaning, quality assurance, and integration of multiple data sources</li><li>Implement data analysis in collaboration with data scientists and statisticians</li><li>Organize data preparation and analysis into reproducible pipelines</li><li>Select and optimize technologies for data processes</li><li>Develop, construct, test, and maintain data management architectures</li><li>Act as a subject matter expert and liaison for automated data management and analysis for research stakeholders</li></ul><p><strong>This role comes with the following benefits:</strong>
</p><ul><li>Generous vacation, holidays, and sick leave</li><li>Competitive insurances and savings accounts</li><li>Retirement benefits</li></ul><p><strong>This role requires you to have:</strong>
</p><ul><li>Experience with SQL for data extraction and manipulation</li><li>Proficiency in Python for data manipulation and analysis</li><li>Experience in developing analytics dashboards</li><li>Strong organizational, analytical, communication, and interpersonal skills</li></ul><p><strong>You would benefit from having:</strong>
</p><ul><li>Certification in Epic Cogito Clinical Data Model</li><li>Experience with clinical vocabularies such as ICD, LOINC, SNOMED, CPT</li><li>Experience in database design, building, and maintenance</li><li>Familiarity with clinical research common data models like OMOP, i2b2, PCORNet</li><li>Knowledge of HIPAA regulations</li><li>Experience with Microsoft Azure Data Factory for developing data pipelines</li><li>Experience with FHIR and HL7 data feeds</li><li>Developing algorithms for Natural Language Processing</li><li>Experience working with web APIs</li><li>Reviewing technical work and providing constructive feedback</li></ul><p>The University of Wisconsin-Madison values diversity and is committed to creating an inclusive environment for its community. This position requires U.S. work eligibility and does not offer employer sponsorship. UW-Madison is an Equal Opportunity and Affirmative Action Employer.</p>
#J-18808-Ljbffr

<h3>Job Summary:</h3><p>The Office of Informatics and Information Technology is looking for an outstanding candidate for a Data Engineer II position to contribute to the innovative informatics efforts for the UW Institute for Clinical and Translational Research and the Clinical and Translational Science Award. Reporting to the Research Data Service Director, the Data Engineer II will be responsible for contributing to building the UW Real World Data Commons (UW-RWDC) mapping data across platforms and common data models including OMOP, i2b2, TriNetX, and mCODE. These resources contribute to investigator self-service and deriving meaningful insights from data, which is an increasing focus for research at UW SMPH. As part of the Informatics Data Service Team, the role of this Data Engineer will also be responsible for data quality assurance and quality control. Additionally, the incumbent will work to develop queries that translate research objectives into datasets retrieved from the UW-RWDC. The successful candidate will have a solid work ethic and bring an enthusiastic and professional attitude to the workplace.</p><h3>Responsibilities:</h3><p>Contributes to a research agenda set by a lead researcher by creating automated processes for preparing and analyzing data at scale. Plays a leadership role and may lead a team and/or personnel.</p><ul><li>30% Prepares data sets for current and future analysis including cleaning/quality assurance, transformations, restructuring, and integration of multiple data sources and may use technologies that support data at scale.</li><li>15% Implements data analysis steps in collaboration with data scientists, statisticians, and/or other researchers and may use technologies that support data at scale.</li><li>15% Organizes both data preparation and analysis steps into reproducible pipelines that can process similar data sets automatically.</li><li>5% Selects appropriate technologies and optimizes pipelines for performance.</li><li>20% Develops, constructs, tests, and maintains architectures for large-scale data management and analysis.</li><li>15% Serves as an institutional subject matter expert and liaison to key internal and external stakeholders regarding automated data management and analysis at scale for research and represents the interests of large-scale data management and analysis for research.</li></ul><h3>Education:</h3><p>Preferred: Bachelor's Degree</p><h3>Qualifications:</h3><p>Required qualifications:<br/>- Experience writing SQL code to extract and manipulate data from large relational databases.<br/>- Experience writing Python code to manipulate and analyze datasets.<br/>- Experience developing analytics dashboards.<br/>- Strong organizational, analytical, verbal and written communication skills, and interpersonal skills.<br/><br/>Preferred:<br/>- Experience developing data pipelines with Microsoft Azure Data Factory.<br/>- Experience Designing, Building & Maintaining Databases.<br/>- Experience with FHIR and HL7 data feeds.<br/>- Experience with clinical vocabularies (ICD, LOINC, SNOMED, CPT, etc.).<br/>- Experience with clinical research common data models (OMOP, i2b2, PCORNet).<br/>- Certified in Epic Cogito Clinical Data Model.<br/>- Experience developing Natural Language Processing algorithms.<br/>- Experience working with web APIs.<br/>- Knowledge of HIPAA and other regulations governing PHI.<br/>- Experience reviewing other team member's technical work and providing constructive feedback.<br/><br/>Strong people and communication skills are required. The ideal candidate is curious, self-motivated, and able to work with minimal supervision. The selected candidate must be committed to providing quality customer service and uphold SMPH core values of respect, integrity, teamwork, excellence, leadership, inclusivity, innovation, collaboration, accountability, and communication.</p><h3>Work Type:</h3><p>Full Time: 100%<br/>It is anticipated this position will be remote and requires work be performed at an offsite, non-campus work location. An on campus location will be provided should a candidate prefer to work partially or fully onsite.</p><h3>Appointment Type, Duration:</h3><p>Ongoing/Renewable</p><h3>Salary:</h3><p><b>Minimum</b> $80,000 ANNUAL (12 months)<br/>Depending on Qualifications.<br/>The starting salary for the position is $80,000 but is negotiable based on experience and qualifications.<br/><br/>Employees in this position can expect to receive benefits such as generous vacation, holidays, and sick leave; competitive insurances and savings accounts; retirement benefits. Benefits information can be found at <a href="#">https://hr.wisc.edu/benefits/</a>.<br/><br/>SMPH Academic Staff Benefits flyer: <a href="#">https://uwmadison.box.com/s/r50myohfvfd15bqltljn0g4laubuz7t0</a></p><h3>Additional Information:</h3><p>University sponsorship is not available for this position, including transfers of sponsorship. The selected applicant will be responsible for ensuring their continuous eligibility to work in the United States (i.e. a citizen or national of the United States, a lawful permanent resident, a foreign national authorized to work in the United States without the need of an employer sponsorship) on or before the effective date of appointment. This position is an ongoing position that will require continuous work eligibility. UW-Madison is not an E-Verify employer, and therefore, is not eligible to employ F1 STEM OPT Extension participants. If you are selected for this position you must provide proof of work authorization and eligibility to work.</p><h3>How to Apply:</h3><p>To apply for this position, please click on the "Apply Now" button. You will be asked to upload a current resume/CV and a cover letter briefly describing your qualifications and experience.</p><h3>Contact:</h3><p>Cody Roekle<br/>croekle@wisc.edu<br/>608-263-7676<br/>Relay Access (WTRS): 7-1-1. See RELAY_SERVICE for further information.</p><h3>Official Title:</h3><p>Data Engineer II(RE065)</p><h3>Department(s):</h3><p>A53-MEDICAL SCHOOL/Informatics and IT</p><h3>Employment Class:</h3><p>Academic Staff-Renewable</p><h3>Job Number:</h3><p>308203-AS</p><p>The University of Wisconsin-Madison is an Equal Opportunity and Affirmative Action Employer. Qualified applicants will receive consideration for employment without regard to, including but not limited to, race, color, religion, sex, sexual orientation, gender identity, national origin, age, pregnancy, disability, or status as a protected veteran and other bases as defined by federal regulations and UW System policies. We promote excellence through diversity and encourage all qualified individuals to apply. For more information regarding applicant and employee rights and to view federal and state required postings, click here.<br/><br/>If you need to request an accommodation because of a disability, you can find information about how to make a request at the following website: <a href="#">https://employeedisabilities.wisc.edu/disability-accommodation-information-for-applicants/</a></p><p>Employment may require a criminal background check. It may also require you and your references to answer questions regarding sexual violence and sexual harassment.<br/><br/>The University of Wisconsin System will not reveal the identities of applicants who request confidentiality in writing, except that the identity of the successful candidate will be released. See Wis. Stat. sec. 19.36(7).<br/><br/>The Annual Security and Fire Safety Report contains current campus safety and disciplinary policies, crime statistics for the previous 3 calendar years, and on-campus student housing fire safety policies and fire statistics for the previous 3 calendar years. UW-Madison will provide a paper copy upon request; please contact the University of Wisconsin Police Department.</p>
#J-18808-Ljbffr

JOB REQUIREMENTS: Duties and Responsibilties of Job: Bring YOUR energy to Alliant Energy! At Alliant Energy, our purpose is to serve customers and build stronger communities. We are passionate about powering beyond the market challenges of today, while powering what\'s next in energy. When our employees say \"I am energy\", it means they take pride in the work we do when disaster strikes, as well as all the days in between. We want you to be safe, happy and healthy. That\'s why we prioritize safety, offer volunteer opportunities and provide competitive pay, comprehensive health and retirement benefits, tuition reimbursement and paid time off. Alliant Energy is seeking a Senior Data Engineer (Snowflake/ Informatica) to play a crucial role in advancing the data and analytics practices within the organization. In this role, you will lead the design, development, implementation, enhancement, and maintenance of data pipelines across multiple technology platforms. Your expertise in Snowflake, Informatica, Python and modern data practices will be instrumental in driving data driven capabilities and ensuring alignment with evolving analytics requirements. You have superb communication skills to articulate technical concepts to non-technical partners and collaborate effectively across teams. Conduct in-depth data needs analysis, capture requirements, and define detailed specifications. You will also implement and govern Data Management best practices and proactively recommend approaches and solutions. *This is a hybrid position reporting to either the Cedar Rapids, IA or Madison, WI office. What you will do * Builds and maintains integrations using Agile principles and processes. * Relying on general direction from a manager, ensures systems are operating as designed, evaluates system processes and procedures, assesses requests for changes to integrations, develops recommendations to tackle problems and issues related to business system operations, and makes decisions involving detailed knowledge of operational issues. * Typically works on new, and less-defined application projects to assess and refine user stories, formulate, and communicate solutions, develop test plans, conduct testing, and implement systems and system improvements. * Communicate customer requirements into user stories using Agile tools. * Communicates methods for using technology to improve business processes. * Regularly provides mentorship to less expert analysts. * Reviews the statement of work and assists in developing technology road maps. * Develops and evaluates the efficiency of system controls, e.g., reports and queries, modifying the controls and procedures as appropriate. * Handles inquiries regarding the technical aspects of Integrations by aiding and coordinating work with IT staff and other business units. * Designs and implements solutions to provide functional and end-user support including end-user assistance, system maintenance, and fixes. * Documents procedures and maintains corporate compliance with mandated regulations by leading and in some cases owning the development, review, and update of appropriate policies, procedures, and standards, e.g., Sarbanes-Oxley Act (SOX) compliance. * Supports on-call activity for system support needs. * Engages in other duties as needed that support Alliant Energy\'s Values and helps deliver on our Purpose to serve customers and build stronger communities. Required Experience * 5 years of related experience. Preferred Experience * Bachelor\'s Degree Emphasis in information technology or related area. * Experience implementing Data warehouse, Data lakes in the cloud. * Proficient in SQL and strong experience in Python. * Experienull job description please use the link below. https://www.aplitrak.com/?adid=YmJnZW5lcmljLjI0NTE0Ljg3NzBAYWxsaWFudGVuZXJneWNvbXAuYXBsaXRyYWsuY29t ***** APPLICATION INSTRUCTIONS: Apply Online: https://www. plitrak.com/?adid=YmJnZW5lcmljLjI0NTE0Ljg3NzBAYWxsaWFudGVuZXJneWNvbXAuYXBsaXRyYWsuY29t

Data Engineer Jobs in Madison, WI

Data Engineer Ii Cloud Data Warehouse
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Sr It Software Engineer Gcp Sr Data Engineer Remote
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Data Engineer Ii
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Senior Data Engineer
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Data Engineer Ii
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Senior Data Engineer Snowflake Informa
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Data Engineer
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Data Engineer Jobs in Madison, WI

Data Engineer Ii Cloud Data WarehouseDecember 19, 2024

Sr It Software Engineer Gcp Sr Data Engineer RemoteDecember 11, 2024

Data Engineer IiDecember 10, 2024

Senior Data EngineerDecember 10, 2024

Data Engineer IiDecember 9, 2024

Data Engineer IiDecember 7, 2024

Senior Data Engineer Snowflake InformaDecember 1, 2024

Data EngineerNovember 24, 2024