2 Jobs
Cayaba Care is Hiring a Data Engineer Near Northeast, WV
Our team is focused on closing this gap through a combination of clinical and non-clinical services delivered in-home, virtually or in-office. Cayaba's care model focuses on integration not replacement of patients’ primary Obstetric provider and reducing any barriers to the patient receiving the recommended care.
Job Summary:We are looking for someone with the right experience to join our small, fast-paced, agile engineering team. We are searching for talented, innovative teammates to contribute end-to-end in designing, developing, and delivering our solution to internal users and patients.
We design and build integrated solutions, working closely with product and business teams, and support those systems in production. Ours is an exciting environment using modern, cloud-based architectures that include bespoke custom applications and integrations between 3rd party systems and services. As part of our team, you will have the opportunity to contribute to many parts of the overall solution.
ET hours are expected for remote personnel.You are a great fit if you bring the expertise outlined below, are passionate about doing a great job, and have pride of ownership in your work.
In this role, you will be a key member of the engineering team, responsible for the ongoing design and implementation of data pipeline and analytics processes that drive important business analytics and reporting. This includes
- hands-on leadership and development of ETL, data pipeline, and data connector processes and automation
- working with data product and business stakeholders to identify needs, and requisite data/analytics to support them and be able to translate these needs into planned stories and tasks
- design, planning, and estimation for data engineering-related work
- being a key member of the architecture team to determine the overall strategic architecture and the approach for new features as they are prioritized
- having sound development, delivery, data quality, and operational practices including:
- ensuring monitors and alerts identify when issues occur and properly escalate/route them as they happen
- responding to, diagnosing, and remediating issues
- establishing and maintaining reliable, observable automation pipelines
- driving development best practices including test automation and related test practices to ensure high-quality releases
- ensuring proper regulatory ( HIPAA ) privacy and handling requirements are met by systems and data in all environments
- have prior data engineering experience running a complex cloud-hosted solution and at least 10 years of relevant experience over multiple projects
- have healthcare data experience in one or both of the Claims or Clinical domains
- have systems integration and data orchestration experience, across multiple disparate systems using data pipelines / ETL processes and platforms including batch and real-time processing or large data sets
- have experience using dbt
- have strong language proficiency in Python
- have strong communication skills and be able to work effectively with internal product and engineering team members and with partner engineering teams
- have experience and strong troubleshooting skills to resolve errors, data and performance issues, etc relating to data pipelines and processes
- have a solid understanding of configuration management and release management practices and have worked in an agile development environment
- have a strong quality and quality-assurance mindset ( including some automation/testing experience )
- be a team player, be able to multitask, and deliver on your and the team's commitments
- be willing and eager to learn new technologies
- have great attention to detail and commitment to customer service
- Healthcare is Human: We partner with the communities we serve to address the unique needs of our patients and support whole person care.
- Pursue Excellence: We earn & build trust with our patients, partners, & each other by striving for excellence without compromising our standards.
- Uplift: We elevate and center underrepresented voices.
- Embrace Innovation: We are creative & resourceful in getting things done.
- Together, not alone: Moving maternal healthcare forward is a shared responsibility that we all care deeply about.
Job Summary
Full Time
$103k-127k (estimate)
06/01/2024
06/27/2024
The job skills required for Data Engineer include SQL, Python, Data Engineering, Data Modeling, Agile, Data Analytics, etc. Having related job skills and expertise will give you an advantage when applying to be a Data Engineer. That makes you unique and can impact how much salary you can get paid. Below are job openings related to skills required by Data Engineer. Select any job title you are interested in and start to search job requirements.
The following is the career advancement route for Data Engineer positions, which can be used as a reference in future career path planning. As a Data Engineer, it can be promoted into senior positions as a Database Engineer IV that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Data Engineer. You can explore the career advancement for a Data Engineer below and select your interested title to get hiring information.
If you are interested in becoming a Data Engineer, you need to understand the job requirements and the detailed related responsibilities. Of course, a good educational background and an applicable major will also help in job hunting. Below are some tips on how to become a Data Engineer for your reference.
Step 1: Understand the job description and responsibilities of an Accountant.
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Step 2: Knowing the best tips for becoming an Accountant can help you explore the needs of the position and prepare for the job-related knowledge well ahead of time.
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Step 3: View the best colleges and universities for Data Engineer.
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