Senior Data Engineer (Remote based in the US)
Dallas, TX, United States
JOB SUMMARY
The Senior Data Engineer is primarily responsible for participating in the design, development, and implementation of solutions for the data warehouse. The primary focus of the data warehouse includes data and analytics that support business operations including Clinical, Patient Accounting, and Corporate functions.
This role is cloud facing and requires hands on experience in building and managing data engineering code in modern cloud-based technologies such as Google Big Query or equivalent. We are looking for a high energy individual willing to learn and evolve and would like to contribute to high impact healthcare environment.
ESSENTIAL DUTIES AND RESPONSIBILITIES
Include the following. Others may be assigned.
- Assembling large, complex sets of data that meet non-functional and functional business requirements
- Identifying, designing, and implementing internal process improvements including re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes
- Building required infrastructure for optimal extraction, transformation and loading of data from various data sources using GCP and SQL technologies
- Building analytical tools to utilize the data pipeline, providing actionable insight into key business performance metrics
- Working with stakeholders including data, design, product, and executive teams and assisting them with data-related technical issues
- Working with stakeholders including the Executive, Product, Data and Design teams to support their data infrastructure needs while assisting with data-related technical issues
- Participates in unit and system testing and follow existing change control processes for promoting solutions to production system, escalating issues as needed.
- Design, develop, review, test, and deploy using CICD to facilitate the data warehouse solutions.
- Identifies data integrity issues and analyzes data and process flows for process improvement opportunities.
- Monitoring system performance and evaluate query execution plans for improving overall system performance.
- Perform code reviews and assist developers in optimization and troubleshooting.
- Participate in troubleshooting and maintaining existing solutions as required.
KNOWLEDGE, SKILLS, ABILITIES
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
- Ability to build and optimize data sets, ‘big data’ data pipelines and architectures
- Ability to perform root cause analysis on external and internal processes and data to identify opportunities for improvement and …
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Must be based in the US
Benefits/Perks401k with up to 6% employer match Business travel insurance Competitive benefits package Dental Disability Employee assistance Employee Assistance Program Employee Discount Program Flexible Spending Accounts Health Savings Accounts Medical Paid holidays Paid leave in accordance with Colorado’s Healthy Families and Workplaces Act Paid Time Off Vision Voluntary benefits
Tasks- Leadership
- Monitor system performance
- Optimize data delivery
- Perform code reviews
- Reporting
- Troubleshooting
Airflow Analysis Analytical Analytical tools Big Data C C++ CICD Coding Communication Computer Critical thinking Data engineering Data Integration Data integrity Data Lakehouse Data Modeling Data Pipeline Data Transformation Data Warehousing Effective Communication EPIC GCP Health care Healthcare industry expertise Infrastructure Interpersonal Java Kafka Leadership NextGen Performance Metrics Process Improvement Process improvements Python Scala Spark SQL Teams Technical Training Troubleshooting Workflow Management
EducationAccounting Business College Engineering Equivalent Information Systems Related Field
TimezonesAmerica/Anchorage America/Chicago America/Denver America/Los_Angeles America/New_York Pacific/Honolulu UTC-10 UTC-5 UTC-6 UTC-7 UTC-8 UTC-9