Overview
Remote
USD 82,825.00 - 115,453.00 per year
Full Time
Skills
Preventive Maintenance
Project Management
Performance Management
Health Insurance
Law
English
Spanish
Military
Banking
Healthcare Information Technology
Product Support
Version Control
Data Management
Software Design
Scripting
Orchestration
Apache Airflow
Data Security
Regulatory Compliance
Encryption
Collaboration
IT Management
Stackdriver
Cloud Storage
Data Flow
Jenkins
Continuous Integration
Continuous Delivery
Testing
Programming Languages
Data Manipulation
DevOps
Terraform
Management
Google Cloud Platform
Google Cloud
Operational Efficiency
Data Engineering
Extract
Transform
Load
ELT
Data Modeling
Data Integration
Data Warehouse
Real-time
Data Processing
Workflow
Communication
Mentorship
Agile
Apache Spark
Scala
Cloud Computing
Python
SQL
Java
Kubernetes
Docker
Job Details
Details
Paid time off (PTO)
Various health insurance options & wellness plan
Retirement benefits including employer match plan
Long-term & short-term disability
Employee assistance programs (EAP)
Parental leave & adoption assistance
Tuition reimbursement
Ways to give back to your community
Benefit options and eligibility vary by position. Compensation varies based on factors including, but not limited to, experience, skills, education, performance, location and salary range at the time of the offer.
Responsibilities
Job Summary:
Ascension Technologies, one of the nation's largest healthcare IT services organizations, supports data-driven transformation across the continuum of care. Within the Cloud Data Operations team, the D ataOps Engineer plays a vital role in enabling efficient data management and governance. This individual will serve as a key operational liaison, ensuring the stability of the ETL jobs running in the production environment, transitioning jobs from Build team to the Run team.
The role supports cross-functional operations by managing access governance, product support, version control workflows, and release lifecycle processes. This engineer will also contribute to file and data management across cloud platforms, particularly Google Cloud Platform (Google Cloud Platform).
Data Engineer Job Description:
Skills
Requirements
Education:
#LI-Remote
Why Join Our Team
When you join Ascension, you join a team of over 134,000 individuals across the country committed to a Mission of serving others and providing compassionate, personalized care to all. Our inclusive culture, continuing education programs, career coaches and benefit offerings are just a few of the resources and tools that team members can use to create a rewarding career path. In fact, Ascension spent nearly $46 million in tuition assistance alone to support associate growth and development. If you are looking for a career where you can grow and make a difference in your community, we invite you to join our team today.
Equal Employment Opportunity Employer
Ascension provides Equal Employment Opportunities (EEO) to all associates and applicants for employment without regard to race, color, religion, sex/gender, sexual orientation, gender identity or expression, pregnancy, childbirth, and related medical conditions, lactation, breastfeeding, national origin, citizenship, age, disability, genetic information, veteran status, marital status, all as defined by applicable law, and any other legally protected status or characteristic in accordance with applicable federal, state and local laws.
For further information, view the EEO Know Your Rights (English) poster or EEO Know Your Rights (Spanish) poster.
As a military friendly organization, Ascension promotes career flexibility and offers many benefits to help support the well-being of our military families, spouses, veterans and reservists. Our associates are empowered to apply their military experience and unique perspective to their civilian career with Ascension.
Pay Non-Discrimination Notice
Please note that Ascension will make an offer of employment only to individuals who have applied for a position using our official application. Be on alert for possible fraudulent offers of employment. Ascension will not solicit money or banking information from applicants.
E-Verify Statement
This employer participates in the Electronic Employment Verification Program. Please click the E-Verify link below for more information.
E-Verify
Responsibilities
Job Summary:
Ascension Technologies, one of the nation's largest healthcare IT services organizations, supports data-driven transformation across the continuum of care. Within the Cloud Data Operations team, the D ataOps Engineer plays a vital role in enabling efficient data management and governance. This individual will serve as a key operational liaison, ensuring the stability of the ETL jobs running in the production environment, transitioning jobs from Build team to the Run team.
The role supports cross-functional operations by managing access governance, product support, version control workflows, and release lifecycle processes. This engineer will also contribute to file and data management across cloud platforms, particularly Google Cloud Platform (Google Cloud Platform).
Data Engineer Job Description:
Skills
Qualifications
Education:
- Department: Data Delivery and Governance
- Schedule: Full Time Monday - Friday 8-5pm CT
- Location: Remote
- Salary: $82,825 - $115,453.00
Paid time off (PTO)
Various health insurance options & wellness plan
Retirement benefits including employer match plan
Long-term & short-term disability
Employee assistance programs (EAP)
Parental leave & adoption assistance
Tuition reimbursement
Ways to give back to your community
Benefit options and eligibility vary by position. Compensation varies based on factors including, but not limited to, experience, skills, education, performance, location and salary range at the time of the offer.
Responsibilities
Job Summary:
Ascension Technologies, one of the nation's largest healthcare IT services organizations, supports data-driven transformation across the continuum of care. Within the Cloud Data Operations team, the D ataOps Engineer plays a vital role in enabling efficient data management and governance. This individual will serve as a key operational liaison, ensuring the stability of the ETL jobs running in the production environment, transitioning jobs from Build team to the Run team.
The role supports cross-functional operations by managing access governance, product support, version control workflows, and release lifecycle processes. This engineer will also contribute to file and data management across cloud platforms, particularly Google Cloud Platform (Google Cloud Platform).
Data Engineer Job Description:
- The Data Engineer will work iteratively on the cloud platform to design, develop and implement scalable, high performance solutions that offer measurable business value to customers.
- Data Solutions: Design and implementation of data pipelines using Google Cloud Platform services
- Automation with Jenkins: Implement CI/CD pipelines using Jenkins to automate data pipeline deployment, testing, and integration with other services, ensuring quick iterations and deployments.
- Develop and Optimize Pipelines: Write efficient Python and SQL scripts to build data pipelines and ETL/ELT processes. Continuously monitor and optimize data workflows for performance and cost-effectiveness.
- Data Integration and Orchestration: Design workflows to integrate data from various sources using Google Cloud Platform services, and orchestrate complex tasks with Cloud Composer (Apache Airflow).
- Security and Compliance: Ensure data security and compliance by implementing IAM policies, encryption, and other security measures in Google Cloud Platform, adhering to best practices for handling sensitive data.
- Collaborate Across Teams: Work closely with application developers, data architects, and business stakeholders to define and deliver robust data-driven solutions. Provide technical leadership and ensure alignment between business and technical objectives.
- Monitoring and Logging: Set up monitoring, logging, and alerting using Cloud Monitoring (formerly Stackdriver), Datadog, or other tools to ensure visibility into pipeline performance and quickly identify and resolve issues.
Skills
- Google Cloud Platform (Google Cloud Platform) Tools:(Preferred) - BigQuery, Cloud Storage, Dataflow, Cloud Functions, Pub/Sub, Cloud Run, Cloud Composer (Airflow), Cloud Spanner, Bigtable.
- CI/CD and Automation- Jenkins for building CI/CD pipelines to automate deployment and testing of data pipelines.
- Programming Languages- Proficient in Python for data processing and automation, SQL for querying and data manipulation. Experience with Java is a plus.
- DevOps Tools - Familiarity with Terraform or Deployment Manager for Infrastructure as Code (IaC) to manage Google Cloud Platform resources.
- Monitoring and Logging -Experience with Cloud Monitoring, Datadog, or other monitoring solutions to track pipeline performance and ensure operational efficiency.
- Data Engineering Skills Expertise in ETL/ELT pipelines, data modeling, and data integration across large datasets.
- Strong understanding of data warehousing and real-time data processing workflows.
- Strong communication skills to work effectively with cross-functional teams and mentor junior developers. Proven ability to lead in an Agile environment.
- 3+ years of experience as a data engineer, with hands-on experience with Spark, Scala, Python.
- Strong experience building and optimizing data pipelines and services in any cloud platform.
- Proficiency in Python and SQL.
- Familiarity with Java , Kubernetes and Docker is a plus.
Requirements
Education:
- High School diploma equivalency with 2 years of cumulative experience OR Associate's degree/Bachelor's degree OR 4 years of applicable cumulative job specific experience required.
#LI-Remote
Why Join Our Team
When you join Ascension, you join a team of over 134,000 individuals across the country committed to a Mission of serving others and providing compassionate, personalized care to all. Our inclusive culture, continuing education programs, career coaches and benefit offerings are just a few of the resources and tools that team members can use to create a rewarding career path. In fact, Ascension spent nearly $46 million in tuition assistance alone to support associate growth and development. If you are looking for a career where you can grow and make a difference in your community, we invite you to join our team today.
Equal Employment Opportunity Employer
Ascension provides Equal Employment Opportunities (EEO) to all associates and applicants for employment without regard to race, color, religion, sex/gender, sexual orientation, gender identity or expression, pregnancy, childbirth, and related medical conditions, lactation, breastfeeding, national origin, citizenship, age, disability, genetic information, veteran status, marital status, all as defined by applicable law, and any other legally protected status or characteristic in accordance with applicable federal, state and local laws.
For further information, view the EEO Know Your Rights (English) poster or EEO Know Your Rights (Spanish) poster.
As a military friendly organization, Ascension promotes career flexibility and offers many benefits to help support the well-being of our military families, spouses, veterans and reservists. Our associates are empowered to apply their military experience and unique perspective to their civilian career with Ascension.
Pay Non-Discrimination Notice
Please note that Ascension will make an offer of employment only to individuals who have applied for a position using our official application. Be on alert for possible fraudulent offers of employment. Ascension will not solicit money or banking information from applicants.
E-Verify Statement
This employer participates in the Electronic Employment Verification Program. Please click the E-Verify link below for more information.
E-Verify
Responsibilities
Job Summary:
Ascension Technologies, one of the nation's largest healthcare IT services organizations, supports data-driven transformation across the continuum of care. Within the Cloud Data Operations team, the D ataOps Engineer plays a vital role in enabling efficient data management and governance. This individual will serve as a key operational liaison, ensuring the stability of the ETL jobs running in the production environment, transitioning jobs from Build team to the Run team.
The role supports cross-functional operations by managing access governance, product support, version control workflows, and release lifecycle processes. This engineer will also contribute to file and data management across cloud platforms, particularly Google Cloud Platform (Google Cloud Platform).
Data Engineer Job Description:
- The Data Engineer will work iteratively on the cloud platform to design, develop and implement scalable, high performance solutions that offer measurable business value to customers.
- Data Solutions: Design and implementation of data pipelines using Google Cloud Platform services
- Automation with Jenkins: Implement CI/CD pipelines using Jenkins to automate data pipeline deployment, testing, and integration with other services, ensuring quick iterations and deployments.
- Develop and Optimize Pipelines: Write efficient Python and SQL scripts to build data pipelines and ETL/ELT processes. Continuously monitor and optimize data workflows for performance and cost-effectiveness.
- Data Integration and Orchestration: Design workflows to integrate data from various sources using Google Cloud Platform services, and orchestrate complex tasks with Cloud Composer (Apache Airflow).
- Security and Compliance: Ensure data security and compliance by implementing IAM policies, encryption, and other security measures in Google Cloud Platform, adhering to best practices for handling sensitive data.
- Collaborate Across Teams: Work closely with application developers, data architects, and business stakeholders to define and deliver robust data-driven solutions. Provide technical leadership and ensure alignment between business and technical objectives.
- Monitoring and Logging: Set up monitoring, logging, and alerting using Cloud Monitoring (formerly Stackdriver), Datadog, or other tools to ensure visibility into pipeline performance and quickly identify and resolve issues.
Skills
- Google Cloud Platform (Google Cloud Platform) Tools:(Preferred) - BigQuery, Cloud Storage, Dataflow, Cloud Functions, Pub/Sub, Cloud Run, Cloud Composer (Airflow), Cloud Spanner, Bigtable.
- CI/CD and Automation- Jenkins for building CI/CD pipelines to automate deployment and testing of data pipelines.
- Programming Languages- Proficient in Python for data processing and automation, SQL for querying and data manipulation. Experience with Java is a plus.
- DevOps Tools - Familiarity with Terraform or Deployment Manager for Infrastructure as Code (IaC) to manage Google Cloud Platform resources.
- Monitoring and Logging -Experience with Cloud Monitoring, Datadog, or other monitoring solutions to track pipeline performance and ensure operational efficiency.
- Data Engineering Skills Expertise in ETL/ELT pipelines, data modeling, and data integration across large datasets.
- Strong understanding of data warehousing and real-time data processing workflows.
- Strong communication skills to work effectively with cross-functional teams and mentor junior developers. Proven ability to lead in an Agile environment.
- 3+ years of experience as a data engineer, with hands-on experience with Spark, Scala, Python.
- Strong experience building and optimizing data pipelines and services in any cloud platform.
- Proficiency in Python and SQL.
- Familiarity with Java , Kubernetes and Docker is a plus.
Qualifications
Education:
- High School diploma equivalency with 2 years of cumulative experience OR Associate's degree/Bachelor's degree OR 4 years of applicable cumulative job specific experience required.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.