Managed Services - Data Engineer - Experienced Associate
The Managed Services Data Engineer - Experienced Associate at Confidential Client focuses on developing and implementing data-driven solutions to optimize business performance and provide strategic insights for clients. This role involves building and maintaining data pipelines, leveraging advanced analytics, and collaborating with teams to deliver quality work in a dynamic environment while developing technical and client engagement skills.
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 (Data & Analytics).
Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.
What You’ll Do
Confidential Client’s Data & Analytics team is looking for an Experienced Associate — Managed Services Data Engineer to help design, build, and maintain scalable data pipelines and business intelligence solutions. In this role you will work on ETL development, data architecture, and reporting to deliver insights that improve client outcomes. You’ll learn on the job, collaborate with technical and business teams, and contribute to client-facing engagements while developing your technical and professional skills.
Responsibilities
- Develop and implement data-driven solutions to optimize business performance (ETL, data engineering)
- Build and maintain reliable data pipelines using industry tools and job scheduling processes
- Optimize SQL and database performance to support analytics and reporting
- Work with DataStage and other ETL tools to integrate data from multiple sources
- Create reports and dashboards using BI tools such as Oracle Business Intelligence, QlikView, or Spotfire
- Contribute to data architecture design including star schemas, dimension modeling, and snowflake models
- Collaborate with cross-functional teams to gather requirements, analyze data patterns, and surface insights
- Support continuous process improvement to enhance data quality and integrity
- Operate in regulated and client-sensitive environments with attention to security and compliance
- Participate in developing business cases and market development efforts through data analysis
- Take ownership of deliverables, adapt in a fast-paced environment, and communicate clearly with stakeholders
Minimum Qualifications
- Bachelor’s degree in a relevant field (or equivalent experience)
- Minimum 1 year of professional experience in data engineering, ETL, or analytics-supporting roles
- Practical experience with SQL and relational databases (DB2, SQL Server or similar)
Preferred / Nice-to-have Skills
- Experience with DataStage or similar ETL platforms
- Familiarity with Oracle Business Intelligence, QlikView, or Spotfire
- Proficiency in Python and/or Java for data processing and automation
- Knowledge of data architecture best practices (star schemas, snowflake modeling)
- Experience with job scheduling, UNIX, and production support processes
- Exposure to regulated industries or client-facing professional services
- Academic background in Computer Science, Economics, Statistics, Engineering, Operations Research, or related fields is a plus
Compensation & Benefits
- Salary range: $63,000 - $140,000 per year. Actual compensation will depend on skills, experience, qualifications, and location in accordance with applicable law.
- Eligible for an annual discretionary bonus where applicable.
- Benefits typically include medical, dental, vision, retirement plan (401k), paid holidays, vacation, and personal/family sick leave. Specific benefits will be provided by the hiring organization at offer.
Location & Work Authorization
- Location: Kansas City, MO (on-site / local office-based expectations as defined by the client)
- Applicants must be authorized to work in the United States. Confidential Client may have specific sponsorship policies; applicants who require visa sponsorship should identify this early in the process.
Additional Notes
- This position is posted on behalf of a Confidential Client operating in IT (Data & Analytics).
- Applicants will be evaluated based on qualifications and relevant experience. Reasonable accommodations are available for applicants with disabilities; please request accommodations when appropriate.
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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