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 Data Engineer I role is an entry-level position focused on developing and operationalizing data pipelines to support healthcare analytics and improve health outcomes at Centene Corporation.
Responsibilities and impact
The role involves designing and implementing data pipelines, managing data processes, ensuring data quality and security, developing real-time data applications, and collaborating with teams to improve data reliability and automation.
Experience and skills
Requires a Bachelor's degree in a quantitative or business field, 0-2 years of related experience, and skills in data analysis, cloud computing, big data, Python, SQL, and Microsoft SQL Server; AWS and Snowflake experience is preferred.
Company information
Centene Corporation is a leading healthcare enterprise focused on improving health outcomes and has a history of offering H1B sponsorships.
Job location and travel
The position is remote, allowing work from any location.
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 engineering such as developing and operationalizing data pipelines, data quality assurance, and experience with Python and SQL, as these are key to the Data Engineer I role at Jobright.ai.
Highlight any experience or coursework related to cloud applications, big data, and business intelligence tools like Tableau, as well as familiarity with Microsoft SQL Servers, since these align closely with the job requirements.
Apply through multiple channels including Jobright.ai's official corporate career site and LinkedIn to maximize visibility and ensure your application is considered through different platforms.
Connect with current data engineering or analytics team members at Jobright.ai on LinkedIn; use ice breakers like asking about recent data projects they've worked on or expressing enthusiasm about the company’s mission to improve health outcomes through data.
Optimize your resume for ATS by incorporating keywords directly from the job description such as 'data pipelines,' 'data quality,' 'Python,' 'SQL,' 'cloud computing,' and 'big data' to increase your chances of passing automated screenings.
Use Jennie Johnson’s Power Apply feature to automate applying across multiple platforms, tailor your resume with relevant keywords, and identify LinkedIn connections to network with, saving you time and increasing your chances of landing the job.
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