Data Engineer
The Data Engineer at Confidential Client is an entry-level, on-site role responsible for designing and maintaining scalable data pipelines and infrastructure to support data-driven decision-making. The role involves collaboration with cross-functional teams to improve data quality, accessibility, and security, with opportunities to grow technical skills in cloud platforms, data transformation, and BI tools.
About Careertakes
👉 Important disclosure: Careertakes is a third-party recruiting platform supporting this hiring process. If selected, you will be employed directly by our client, IT.
Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.
What You’ll Do
Confidential Client is hiring an entry-level Data Engineer to join their IT team onsite at the Overland Park, KS headquarters. This role focuses on designing, building, and maintaining scalable data pipelines and dashboards to support data-informed decisions. You will work closely with data scientists, analysts, solutions partners, and cross-functional stakeholders to improve data quality, accessibility, and security.
- Identify, maintain, and use data pipelines, data models, reports, and dashboards to solve business problems.
- Help build and document technical best practices for data integration, warehousing, and visualization on cloud platforms.
- Analyze data workflows, spot patterns and anomalies, and recommend optimizations to improve data quality and processing efficiency.
- Contribute to coding standards and documentation for data engineering work.
- Follow PHI and data security requirements when working with sensitive healthcare-related data.
- Use AI tools and platforms responsibly to enhance workflows and support data-driven outcomes.
- Grow into support rotations and deployment responsibilities over time.
- Perform other duties as assigned.
Required Qualifications
- Bachelor’s degree in a related field OR equivalent practical experience.
- 0–2 years of related work experience (entry-level).
- Working proficiency in SQL — strong emphasis for daily tasks.
Preferred Qualifications (what you’ll grow into)
- Exposure to Python for data tasks.
- Familiarity with cloud data platforms (Google Cloud Platform / BigQuery).
- Experience or exposure to data transformation tools (dbt / Dataform).
- Exposure to BI tools (Looker, Tableau, Power BI).
- Familiarity with orchestration tools (Airflow, Prefect, Dagster).
- Exposure to infrastructure as code (Terraform).
- Prior experience or interest in healthcare data is a plus but not required.
Benefits & Perks
Full-time teammates may be eligible for benefits including (examples):
- Medical, Rx, dental, and vision plans
- Mental health support (EAP)
- Generous paid time off + paid holidays
- 100% vested 401(k) retirement plans
- Educational assistance programs
Work Location & Expectations
- Onsite at Confidential Client WHQ in Overland Park, KS — in-office attendance is required.
- Flexible or irregular hours may occasionally be needed.
- Must follow applicable security policies and procedures to safeguard company and client information.
- Must be able to sit and view a computer screen for extended periods.
- Applicants must be legally authorized to work in the United States; verification of employment eligibility will be required at hire.
Notes
This is an entry-level, coachable role with a clear growth path into a well-rounded data practitioner. If you don’t yet have all the preferred skills, Confidential Client is open to training motivated candidates who demonstrate curiosity and a willingness to learn.
Equal Opportunity & Hiring Transparency
Careertakes and our client are Equal Opportunity Employers committed to building a diverse and inclusive workforce. We prohibit discrimination or harassment of any kind. To support a fair and efficient hiring process, AI tools may be used to assist with application review or resume screening. These tools do not replace human decision-making. Final hiring decisions are made by people.
If you have questions about how your data is used, please contact us directly.
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