Data Engineer (Remote - US)

Thank you for considering a career at Bon Secours Mercy Health!

Summary

The Data Engineer works closely with a multidisciplinary Agile team to build high quality data pipelines driving analytic solutions. The solutions generate insights from the organization's connected data, enabling the organization to advance the data-driven decision-making capabilities of the organization's enterprise. This role requires deep understanding of data engineering, data analysis, reporting, and a basic understanding of data science techniques and workflows.

Essential Job Functions

• Develops maintained data architecture and pipelines that adhere to ETL (Extract, Transform, and Load) principles and business goals.
• Solves complex data problems to deliver insights that helps the ministry achieve goals.
• Understands modeling process, major groups of algorithmic techniques, and model testing techniques.
• Learns about machine learning, data science, computer vision, artificial intelligence, statistics, and applied mathematics.
• Partners with business analysts and solutions architects to develop technical architectures for strategic enterprise projects and initiatives.
• Understands platforms available and how they are used (e.g. Azure, Hadoop, Bluemix).
• Performs tasks related to data ETL (Extract, Transform, and Load), data structuring and cleaning, and data pipeline creation.
• Understands rules on data, privacy and security, and can ensure quality of data.
• Integrates data from multiple sources.

This document is not an exhaustive list of all responsibilities, skills, duties, requirements, or working conditions associated with the job. Employees may be required to perform other job-related duties as required by their supervisor, subject to reasonable accommodation.

Licensing/Certification

None

Education

Bachelors (required)

Masters, Computer Science, Management Information Systems, or Engineering (preferred)

Doctorate, Computer Science, Management Information Systems, or Engineering (preferred)

Work Experience

1 year experience in a data engineering or architecture role (required)

3+ years' experience in a data engineering or architecture role (preferred)

Training

None

Language

None

Skills

• SQL and data analysis
• Programming (e.g., Python, Scala)
• Development in cloud computing services (Azure)
• Database development (e.g., Hadoop or BigQuery)
• Data warehouse maintenance
• BI tools (e.g., Tableau, PowerBI)
• Data governance
• Structured and unstructured data
• Big-picture and detail-oriented thinking
• Data modeling & pipeline building
• Critical thinking
• Relationship building
• Ability to work with technical and non-technical stakeholders
• Requirements translation
• Agile work process
• Continuous learner
• Familiarity with machine learning
• Microsoft Suite
• Cloud platform knowledge (e.g., Azure Data Factory, ADLS Gen2, Snowflake)
• Coding and scripting skills (e.g., Python, Spark)
• Communication skills
• Continuous integration tools (e.g., Jenkins, Maven, Git)
• SQL Server
• Translation of complex technical concepts
• Understanding of interplay of analytics components with enterprise architecture

Working Conditions

Periods of high stress and fluctuating workloads may occur

General office environment

Physical Requirements

Lifting/ Carrying (0-50 lbs.) 0%

Lifting/ Carrying (50-100 lbs.) 0%

Push/ Pull (0-50 lbs.) 0%

Push/ Pull (50-100 lbs.) 0%

Stoop, Kneel 0%

Crawling 0%

Climbing 0%

Balance 0%

Bending 0%

Sitting 67-100%

Walking 0%

Standing 0%

Additional Physical Requirements/Hazards

None

Patient Population

Not applicable to this position

Bon Secours Mercy Health is an equal opportunity employer.

Many of our opportunities reward* your hard work with:

• Comprehensive, affordable medical, dental and vision plans
• Prescription drug coverage
• Flexible spending accounts
• Life insurance w/AD&D
• Employer contributions to retirement savings plan when eligible
• Paid time off
• Educational Assistance
• And much more

*Benefits offerings vary according to employment status

Scheduled Weekly Hours:
40

Work Shift:
Days (United States of America)

Department:
SS Analytics

All applicants will receive consideration for employment without regard to race, color, national origin, religion, sex, sexual orientation, gender identity, age, genetic information, or protected veteran status, and will not be discriminated against on the basis of disability. If you'd like to view a copy of the affirmative action plan or policy statement for Mercy Health - Youngstown, Ohio or Bon Secours - Franklin, Virginia; Petersburg, Virginia; and Emporia, Virginia, which are Affirmative Action and Equal Opportunity Employers, please email [email protected]. If you are an individual with a disability and would like to request a reasonable accommodation as part of the employment selection process, please contact The Talent Acquisition Team at [email protected].