Senior Health Care Data Engineer - Beaverton, United States - Providence Health & Services

Providence Health & Services Beaverton, United States

1 week ago

Description

For more than 160 years, our not-for-profit healthcare collective has set the health and well-being standard for our community. We continue to raise this standard every day, dutifully helping anyone in need.

Providence Health Plan can leverage our own network of doctors, hospitals, clinics, and trusted provider partners, to deliver on the whole care picture.

This means we intervene earlier, improve outcomes, lower costs, and better the health of the entire community. Because healthcare isn't a commodity service, it's a community pursuit.

Join us in our shared pursuit to care for one another equitably, recognize the cultural challenges in healthcare today, and improve outcomes for all.

Senior Health Care Data Engineer - Information Technology Development Team at Providence Health Plan Partners.

The position is remote and can sit in the footprint of Providence in the states of OR, WA, CA, or TX.

The Senior Health Care Data Engineer will be a member of an Agile software development team (Scrum or Kanban) in the PHP Information Services (IS) Department.

As senior software developer they will be expected to work well within their agile team, foster collaboration, mentor teammates and other members of the IS Department, and provide opinion and expertise on technical issues all while embracing Agile Principles and Values.

Analyzes the business requirements for data file requests to design, develop, and deploy fully automated ETL jobs to produce data files.
Designs, develops, and deploys ETL programs to facilitate the receipt of data from various data sources and the loading of data into destination tables within the overall data architecture framework.
Collaborates to design end-to-end solutions for file creation and distribution, as well as supporting ETL production processes and operations.
Utilizes advanced understanding of healthcare data models to identify data sources and maps data to required file specifications.
Designs and automates data quality and data validation functions as part of the overall solution.
Leverages expertise in ETL and the MS SQL platform to perform performance tuning of technologies to manage data.
Experience in analysis, data relationships, data aggregation, and summarization
Performs technical peer reviews and code reviews.
Participates in review of potential technical architectures and solutions to improve and enhance existing systems, processes, and data services.
Expertise in MS SQL server (T-SQL, SQL server)
Experience with MS Azure/AWS or other cloud-based data warehouse systems
Experience in building Data Pipelines using Azure Data Factory
Proficient with ETL tools (SSIS/Active Batch)
Working Knowledge in job scheduling tools like Automic, Tidal
In-depth understanding of database structure principles and Data warehouse principles.
Knowledge of scripting languages like PowerShell
Expertise in database architecture, storage and Query Optimizer
Extensive background in business intelligence tools (e.g., SSIS, SSRS and SSAS)
Architectural understanding of reporting tools (e.g., Tableau, SSRS, Crystal Reports and PowerBI)
Experience in CI/CD pipelines using Azure Devops
Experience with Git, Visual Studio, Visual Code are preferred
Working knowledge in .Net 4.5 or greater would be an added advantage.

Required qualifications

Associate Degree plus 6 years of demonstrated software development experience in an enterprise environment; or
Bachelor's Degree plus 4 years of demonstrated software development experience in an enterprise environment or equivalent education/experience
6 year degree plus 2 years of demonstrated software development experience in an enterprise environment
8 years demonstrated software development experience in an enterprise environment.

Preferred qualifications:

Healthcare Care experience
Expertise in MS SQL server (T-SQL, SQL server)
Experience with MS Azure/AWS or other cloud-based data warehouse systems
Experience in building Data Pipelines using Azure Data Factory
Proficient with ETL tools (SSIS/Active Batch)
Working Knowledge in job scheduling tools like Automic, Tidal
In-depth understanding of database structure principles and Data warehouse principles.
Knowledge of scripting languages like PowerShell
Expertise in database architecture, storage and Query Optimizer
Extensive background in business intelligence tools (e.g., SSIS, SSRS and SSAS)
Architectural understanding of reporting tools (e.g., Tableau, SSRS, Crystal Reports and PowerBI)
Experience in CI/CD pipelines using Azure Devops
Experience with Git, Visual Studio, Visual Code are preferred
Working knowledge in .Net 4.5 or greater would be an added advantage.

Providence caregivers are not simply valued - they're invaluable.

Join our team at Providence Health Plan Partners and thrive in our culture of patient-focused, whole-person care built on understanding, commitment, and mutual respect.

Your voice matters here, because we know that to inspire and retain the best people, we must empower them.

Compensation:
The salary range listed for this position

MIN:
$47.33 to

MAX:
$76.19 per hour is based upon the primary work location Beaverton, OR. This position is remote. Salary range and offers are determined by internal pay equity and geographic cost of living differences. Salary range will vary from State and region. Salary max is limited to 75% range in order to continue to offer internal pay growth. We welcome open and transparent discussions on salary at Providence.

Why Join Providence?

Our best-in-class benefits are uniquely designed to support you and your family in staying well, growing professionally, and achieving financial security.

We take care of you, so you can focus on delivering our Mission of caring for everyone, especially the most vulnerable in our communities.

Accepting a new position at another facility that is part of the Providence family of organizations may change your current benefits.

Changes in benefits, including paid time-off, happen for various reasons.

These reasons can include changes of Legal Employer, FTE, Union, location, time-off plan policies, availability of health and welfare benefit plan offerings, and other various reasons.

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