Data Engineer II - REMOTE
Net Health
About Net Health
Belong. Thrive. Make a Difference.
Are you looking for a meaningful and satisfying career where you have endless opportunities to grow and be financially rewarded? Net Health may be the perfect place for you.
A high-growth and profitable company, we help caregivers harness data for human health. We also honor and respect the needs of our Net Health family and staff, which is why we offer a work-from-anywhere environment and unlimited PTO. Our welcoming and collaborative culture paired with progressive benefits makes Net Health the ultimate career home!
As a leading-edge SaaS company in healthcare, we deliver solutions that help patients get better, faster, and live more fulfilling lives. Our software and predictive analytics cover the continuum of care, from hospital-to-home, across various medical specialties. Come join us and start the next chapter of your exciting career while helping others to live better lives.
World-Class Benefits That Reflect Our World-Class Culture.
Click Here to Learn More!:
#WorkFromAnywhere #UnlimitedPTO #ComprehensiveBenefitsPackage #EmployeeResourceGroups #CasualDressCode #PrioritizedEmployeeWellness #DiversityAndInclusion #AVoice #NewHireSupport #CareerDevelopment #EducationalAssistance #EmployeeReferralBonus #ProgressiveParentalLeave
JOB OVERVIEW
We are seeking a skilled Data Engineer to join our dynamic team. As a Data Engineer you will be responsible for designing, developing, and maintaining scalable data pipelines and infrastructure. The ideal candidate should have a strong background in data architecture, ETL processes, and database technologies.
Develop robust and scalable solutions that transform data into a useful format for analysis, enhance data flow, and enable end users to consume and analyze data faster and easier. Write complex SQL queries to support analytics needs. Evaluate and recommend tools and technologies for data infrastructure and processing. Collaborate with engineers, data scientists, data analysts, product teams, and other stakeholders to translate business requirements to technical specifications and coded data pipelines. Work with tools, languages, data processing frameworks, and databases such as Microsoft SQL. Work with structured and unstructured data from a variety of data stores, such as data lakes, relational database management systems, and/or data warehouses.
RESPONSIBILITIES AND DUTIES
- Collaborate with cross-functional teams to understand data requirements and design appropriate solutions.
- Develop, maintain, and optimize data pipelines and ETL processes for extracting, transforming, and loading data into data warehouses or other storage systems.
- Design and implement scalable and efficient data models for analytics and reporting purposes.
- Troubleshoot and resolve issues related to data integrity, quality, and performance.
- Evaluate and implement new tools and technologies to enhance data infrastructure and processes.
- Work closely with stakeholders to gather requirements and provide technical guidance on data-related projects.
QUALIFICATIONS
- Bachelor’s or Master’s degree in computer science or related field.
- Minimum 4 years of experience as a Data Engineer or in a similar role.
- Experience with various data sources, standardized and non-standardized datasets such as EHR, MDS, OASIS, and claims.
- Excellent problem-solving skills and the ability to work in a fast-paced environment.
- Strong communication and teamwork skills.
REQUIRED SOFTWARE EXPERIENCE
- Proficiency in programming languages such as Python, Java, or Scala.
- Strong knowledge of SQL and relational databases, experience with database systems (e.g., SQL Server, PostgreSQL, MySQL, etc.).
- Familiarity with cloud platforms (AWS, Azure, GCP) and their data services.
Note: This job description is not intended to be all-inclusive. Employee may perform other related duties as requested to meet the ongoing needs of the organization.
Salary Range: $80,000.00 - $100,000.00 USD
A word on Al-assisted candidate fraud & deepfakes: Our company maintains a zero-tolerance policy for the use of Al tools to misrepresent a candidate's skills, experience, or qualifications during the hiring process. We utilize advanced screening methods to detect such practices and reserve the right to disqualify and report candidates who violate this policy.