Senior Data Engineer - Remote
SENIOR DATA ENGINEER reports to:
Director, Data & Analytics Position
Summary:
The Data & Analytics team brings quantitative, analytical support to decision-making for our fast-growing business.
Members serve as partners to business leaders in linking strategic, operational, and financial planning to execution.
As a leader within the Data & Analytics team, the Senior Data Engineer will contribute significantly to the performance of our business by developing the data architecture that enables insight delivery to an ever-growing portfolio of hospitals.
The ideal candidate will possess strong technical expertise, leaderships skills, and strategic thinking to drive the design, development, and maintenance of our data infrastructure.
In this role, you will play a pivotal role in shaping the way we collect, store, process, and analyze data to support business objectives and innovation.
Your responsibilities will include:
Strategy Creation:
Collaborate with cross-functional teams to define the data engineering strategy aligned to business objectives, including data modeling that unifies data assets across a range of source systems used to manage the operations of our partnering hospitals.
Pipeline Development:
Define and execute processes needed to develop, test, deploy, and maintain high quality data pipelines.
Oversee the end-to-end development of data pipelines from source data extraction through to production-grade analytical dataset delivery, ensuring data quality and security throughout the pipeline.
Performance Optimization:
Continuously monitor and optimize data processing performance and efficiency.
Identify and address bottlenecks, optimize query performance, and improve overall system stability.
Data Governance:
Establish and enforce data quality management policies, data access controls, and data privacy standards.
Technical Leadership:
Stay abreast of the latest developments in engineering tools and best practices.
Provide guidance to the team about technical challenges.
Documentation:
Maintain clear and comprehensive documentation of data pipelines, architecture, and processes to ensure knowledge sharing and team continuity.
Third-party Management:
Evaluate and manage relationships with third-party vendors and tools, making informed decisions about when to leverage external solutions.
What you need to be considered:
6
years in data engineering roles with progressively increasing responsibilities.
Deep understanding of data modeling, data architecture, and data integration best practices.
Strong hands-on experience with Apache Spark and cloud computing technologies.
Advanced proficiency in Python and SQL.
Familiarity with data governance, security, and privacy principles.
Comfort using collaboration tools such as GitHub or equivalent to manage development life cycle.
Excellent data modeling and engineering skills, and a talent for translating business objectives into technical solutions.
High energy, humble team player with get it done attitude, seeking collaboration with colleagues.
Ability to manage multiple projects simultaneously.
Preferred Qualifications Experience engineering in Databricks strongly preferred.
3
years of software engineering with python in a production environment.
Experience with the Azure cloud ecosystem.
Experience developing production-ready, real-time machine learning model serving pipelines.
Comfort developing in the Apache Spark Structured Streaming paradigm.
Experience working for a private equity-backed, multisite service provider.
Working knowledge of Microsoft Excel and Office 365.
What's in it for the right candidate:
Competitive salary and benefits, including medical and 401(k) plan with a company match Unlimited PTO Growth opportunities A fun, casual environment that values independent thought and an ownership approach to working Ability to make a significant impact on the growth of the company in a newly created role Recommended Skills Apache Spark Architecture Business Planning Collaborative Softwares Data Analysis Data Integration Estimated Salary: $20 to $28 per hour based on qualifications.
Director, Data & Analytics Position
Summary:
The Data & Analytics team brings quantitative, analytical support to decision-making for our fast-growing business.
Members serve as partners to business leaders in linking strategic, operational, and financial planning to execution.
As a leader within the Data & Analytics team, the Senior Data Engineer will contribute significantly to the performance of our business by developing the data architecture that enables insight delivery to an ever-growing portfolio of hospitals.
The ideal candidate will possess strong technical expertise, leaderships skills, and strategic thinking to drive the design, development, and maintenance of our data infrastructure.
In this role, you will play a pivotal role in shaping the way we collect, store, process, and analyze data to support business objectives and innovation.
Your responsibilities will include:
Strategy Creation:
Collaborate with cross-functional teams to define the data engineering strategy aligned to business objectives, including data modeling that unifies data assets across a range of source systems used to manage the operations of our partnering hospitals.
Pipeline Development:
Define and execute processes needed to develop, test, deploy, and maintain high quality data pipelines.
Oversee the end-to-end development of data pipelines from source data extraction through to production-grade analytical dataset delivery, ensuring data quality and security throughout the pipeline.
Performance Optimization:
Continuously monitor and optimize data processing performance and efficiency.
Identify and address bottlenecks, optimize query performance, and improve overall system stability.
Data Governance:
Establish and enforce data quality management policies, data access controls, and data privacy standards.
Technical Leadership:
Stay abreast of the latest developments in engineering tools and best practices.
Provide guidance to the team about technical challenges.
Documentation:
Maintain clear and comprehensive documentation of data pipelines, architecture, and processes to ensure knowledge sharing and team continuity.
Third-party Management:
Evaluate and manage relationships with third-party vendors and tools, making informed decisions about when to leverage external solutions.
What you need to be considered:
6
years in data engineering roles with progressively increasing responsibilities.
Deep understanding of data modeling, data architecture, and data integration best practices.
Strong hands-on experience with Apache Spark and cloud computing technologies.
Advanced proficiency in Python and SQL.
Familiarity with data governance, security, and privacy principles.
Comfort using collaboration tools such as GitHub or equivalent to manage development life cycle.
Excellent data modeling and engineering skills, and a talent for translating business objectives into technical solutions.
High energy, humble team player with get it done attitude, seeking collaboration with colleagues.
Ability to manage multiple projects simultaneously.
Preferred Qualifications Experience engineering in Databricks strongly preferred.
3
years of software engineering with python in a production environment.
Experience with the Azure cloud ecosystem.
Experience developing production-ready, real-time machine learning model serving pipelines.
Comfort developing in the Apache Spark Structured Streaming paradigm.
Experience working for a private equity-backed, multisite service provider.
Working knowledge of Microsoft Excel and Office 365.
What's in it for the right candidate:
Competitive salary and benefits, including medical and 401(k) plan with a company match Unlimited PTO Growth opportunities A fun, casual environment that values independent thought and an ownership approach to working Ability to make a significant impact on the growth of the company in a newly created role Recommended Skills Apache Spark Architecture Business Planning Collaborative Softwares Data Analysis Data Integration Estimated Salary: $20 to $28 per hour based on qualifications.
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