Job summary
Job post source
This job is from a recruiting firm hiring for a separate company, as the company listed is Jobright.ai but the description focuses on Centene Corporation.
Job overview
The Entry Level Data Engineer I role involves developing and operationalizing data pipelines to support healthcare analytics at Centene Corporation, impacting health outcomes through data quality and advanced analytics.
Responsibilities and impact
The role requires developing data pipelines, designing data management procedures, maintaining real-time data processing applications, ensuring data quality, collaborating with DevSecOps teams, and improving data reliability and automation.
Experience and skills
Candidates need a Bachelor's degree in a quantitative or business field, 0-2 years of related experience, skills in data analysis, quality assurance, cloud computing, big data, Python, SQL, and Microsoft SQL Servers; AWS and Snowflake experience is preferred.
Work environment and culture
Centene Corporation is committed to helping people live healthier lives and supports H1B sponsorships, indicating an inclusive and growth-oriented environment.
Company information
Centene Corporation is a leading healthcare enterprise focused on improving health outcomes through advanced analytics and data-driven solutions.
Job location and travel
This is a remote position.
Unique job features
The role offers the opportunity to work on large-scale, high-volume data structures and real-time data pipelines in a healthcare context, with a focus on data quality and security.
Company overview
Jobright.ai is a technology company focused on leveraging artificial intelligence to streamline and enhance the job search and recruitment process for both candidates and employers. The company generates revenue primarily through subscription-based services and partnerships with organizations seeking to optimize hiring, offering tools such as AI-powered resume analysis, job matching, and interview preparation. Founded to address inefficiencies in traditional recruitment, Jobright.ai has positioned itself as an innovator in the HR tech space, emphasizing automation and data-driven insights. Notable milestones include the launch of its proprietary AI algorithms and collaborations with major job boards and corporate clients. Candidates should be aware of Jobright.ai’s commitment to ethical AI practices and its rapidly evolving product suite.
How to land this job
Tailor your resume to emphasize foundational skills in data pipeline development, data quality assurance, and experience with Python, SQL, and cloud computing as these are central to the Entry Level Data Engineer I role at Jobright.ai.
Highlight any academic projects or internships involving big data, data mining, or business intelligence tools like Tableau to demonstrate relevant hands-on experience despite limited professional work history.
Apply through multiple channels including Jobright.ai's official corporate careers page and LinkedIn to maximize your visibility and chances of landing an interview.
Connect with current data engineering team members or recruiters at Jobright.ai on LinkedIn; start conversations by referencing a recent company initiative in healthcare data analytics or asking about the team’s approach to real-time data pipeline challenges.
Optimize your resume for ATS by incorporating keywords from the job description such as 'data pipelines,' 'data quality,' 'Python,' 'SQL,' 'cloud computing,' and 'big data' to ensure it passes initial automated screenings.
Use Jennie Johnson's Power Apply feature to automate tailored resume submissions, identify multiple application portals, and discover LinkedIn connections to network with, freeing you to focus on interview preparation and skill development.
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