Samaritan Ministries is hiring a
Remote Data Engineer
📍 Remote
About Company
Samaritan Ministries is a Biblical solution to health care. It is not insurance. We deliver authentic, compassionate, and personal service in the name of Christ to enable and inspire members to provide for one another’s medical needs through prayer, encouragement, and financial support.
From demonstrating Christ-centered compassion to modeling best practices in health care sharing, Samaritan Ministries is committed to keeping Jesus at the center of everything we do. The way we interact with our colleagues and engage with our members is a testament that we are ultimately serving Christ and His Kingdom.
Summary
To provide Samaritan Ministries International with data engineering services of designing and implementing data models while maintaining data fidelity and availability.
Competencies
- Infrastructure
- Analytical Thinking
- Big Data Management
- Data Mining
- Data Governance and Compliance
- Acting with Integrity, Empathy, and Compassion
- Collaborating with Others
- Neighbor Focus
- Pursuing Excellence
Key Responsibilities
- Produce code to clean the data and ensure the quality of data
- Design processes for transferring data into existing data lake
- Extract and combine data from various heterogeneous data sources
- Analyze complex data sources and assist in the design of new data feeds
- Liaise and coordinate with external data providers to determine how to integrate data into the existing environment and data model
- Support software developers and data scientists on data initiatives, and ensure that the data delivery is consistent across the entire project
- Support quantitative analysts and data scientists with data discovery and rapid assembly of large data sets from disparate sources
- Use modern data tools to support products and services by solving data integration challenges
- Architect, create, and maintain data ETL processes.
- Monitor extract schedules and triggers.
- Develop, maintain, and enforce best practices with regards to data source-controlling, querying, and handling standards.
- Contribute to data catalogs and dictionaries.
- Assist data scientists and analysts with programming and automation needs.
- Prepare and maintain architectures, data, and data models
Qualifications and Experience
- Master's Degree from an accredited university or the equivalent in education and experience.
- Microsoft SQL Relational Database Management System (MSSQL DBMS) (Advanced)
- Data process creation and architecture (Intermediate)
- Coaching practices for querying data (Advanced)
- Git repository management (Advanced) and pull request oversight
- Extract, Transform and Load (ETL) (Advanced)
- Python (Intermediate)
- Structured Query Language (SQL) (Intermediate)
Additional Information
- Tasks are normally conducted in a regular office environment, requiring use of computer and mouse and other standard office equipment. Staff usually remain in a stationary position, often standing or sitting for prolonged periods.
- Staff will observe safety principles while performing the duties of the position.
- This position requires an active commitment to the mission and values of SMI. In the course of performing job duties, the employee will act in a manner that is Christ-honoring as well as Christ-like, demonstrating a personal Christian faith and witness in all interpersonal interactions.
- Disclaimer: This job description is intended to describe the general nature and level of work being performed by people assigned to this job. They are not intended to be an exhaustive list of responsibilities, duties and skills required of personnel in the classification. On occasion work hours may be irregular including performing duties on evenings or weekends.
- Full-time benefits include: Health benefits, Retirement, Paid Time Off. Starting Pay Range: $69,300-$86,600. Starting pay is based off of qualifications and experience.
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