Jobs for People with MS: National MS Society

Eaton’s Corporate Sector division is currently seeking a Data Engineer - Analytics Platforms.

The expected annual salary range for this role is $105000.03 - $154000.04 a year.

Please note the salary information shown above is a general guideline only. Salaries are based upon candidate skills, experience, and qualifications, as well as market and business considerations.

What you’ll do:

Job summary

As a Data Engineer, you will lead the development, build, and test scenarios for data solutions to deliver business value while meeting quality & technical requirements. You will be accountable for end-to-end delivery of source data acquisition, complex transformation and orchestration pipelines, and AI/ML engineering. In addition, you will collaborate directly with business stakeholders to deliver rapid, incremental business value/outcomes. This role requires extensive experience in front-end visualization using Power BI (desktop and online service),

You will work with the latest cloud data engineering tools and frameworks, such as Snowflake, to build and maintain scalable, reliable, and secure data pipelines and architectures. You will also collaborate with cross-functional teams (HR, ES EMEA, ES APAC, EHS) to understand their data needs and provide them with data insights and guidance.

Key roles and responsibilities for this position are:

• Deploy complex enterprise solutions to a wide range of data technology patterns and platforms

• Design, Engineer and orchestrate datasets with scale, supportability and reusability at the forefront of design

• Build infrastructure and data pipelines required for optimal extraction, transformation and loading of data from a wide variety of sources

• Ensure data end-to-end data flow quality, accuracy, and consistency by implementing data validation, testing, and monitoring processes

• Build and maintain standard work, design standard operating procedures and leverage ServiceNow to troubleshoot and resolve data issues and provide technical support to the team and other users

• Demonstrate and document solutions by using flowcharts, diagrams, code comments, data lineage, and technical and business metadata

• Partner with senior business stakeholders, functional analysts, and data scientists to ensure solutions meet or exceed requirements

• Provide data insights and recommendations to support business decisions and strategies

• Assemble large, complex datasets that meet functional and non-functional requirements and enterprise technology and data protection standards

• Drive and teach data literacy and data culture across the organization by sharing data knowledge and skills

• Support continuous learning for our Power BI self-service community through office hours and learning events

Qualifications:

Basic Qualifications:

• Bachelors degree from an accredited institution

• Minimum seven (7) years in IT, project management, program management or data related activities including architecture, engineering, operational/transactional efforts or overall analytics

• Minimum three (3) years of Power BI experience

• No relocation is offered for this position. All candidates must currently reside within 50 miles of Moon Township PA or Beachwood OH to be considered.

• Must be authorized to work in the United States without company sponsorship now or in the future

Preferred Qualifications:

• Advanced data visualization experience with Power BI to create interactive analytics solutions, support questions from self-service user community, and provide high-level training to self-service user community

• Advanced experience with one or more data storage and processing technologies (data lake, warehouse, timeseries, graph)

• Intermediate ability to interact with batch (ETL/ELT) and on-demand (API, SQL) data integration methodologies

• Demonstrated experience with cloud-based data storage (object, database) and processing (Spark, MPP warehouse, containers) technologies

• Experience with dimensional (Star, Snowflake, Data Vault) and transactional (3rd normal form) data modeling using OLTP, OLAP, NoSQL and Big Data technologies

• Advanced programming ability in multiple data manipulation languages (Python, Scala, SQL, PL-SQL)

• Advanced experience developing and supporting data pipelines, inclusive of code, orchestration, quality and observability

• Intermediate experience with DevSecOps and CI/CD principles and tools

We are committed to ensuring equal employment opportunities for all job applicants and employees. Employment decisions are based upon job-related reasons regardless of an applicant's race, color, religion, sex, sexual orientation, gender identity, age, national origin, , marital status, genetic information, protected veteran status, or any other status protected by law.

Eaton considers qualified applicants regardless of criminal histories, consistent with local laws. To request a disability-related reasonable accommodation to assist you in your job search, application or interview process, please call us at 1-800-836-6345 to discuss your specific need. Only accommodation requests will be accepted by this phone number.

We know that good benefit programs are important to employees and their families. Eaton provides various Health and Welfare benefits as well as Retirement benefits, and several programs that provide for paid and unpaid time away from work. Click here (https://www.eaton.com/content/dam/eaton/company/careers/US%20Benefits%20updated%2010.24.22.pdf) for more detail: Eaton Benefits Overview. Please note that specific programs and options available to an employee may depend on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements.