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.

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What You’ll Do

Confidential Client is seeking a Data Engineer I to help design, build, and operationalize data pipelines and analytics infrastructure. This is an entry-level / early-career role where you will work with engineers, analysts, and product teams to deliver reliable, reusable data solutions.

• Assist in building and maintaining data pipelines and data management solutions using Snowflake, Coalesce, SQL, and Python.
• Support pipeline orchestration and monitoring using Airflow and other workflow tools.
• Develop ETL/ELT processes to extract, transform, and load data across systems.
• Assist with integrations and data exchanges involving Workday and internal/external systems.
• Troubleshoot pipeline and production issues and participate in root-cause analysis.
• Help implement processes for data integrity, standardization, and quality.
• Maintain documentation: data dictionaries, metadata, mappings, technical specs, and test cases.
• Contribute to automation, reliability, and efficiency improvements for data workflows.
• Participate in Agile team activities and contribute to product increments.
• Perform other duties as assigned.

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What We’re Looking For

• Bachelor’s degree in Computer Science, Information Technology, Engineering, Mathematics, or related field — or equivalent experience.
• 0–2 years of relevant experience; entry-level candidates and recent graduates are encouraged to apply.
• Hands-on SQL experience.
• Familiarity with Python for data tasks.
• Basic understanding of data engineering concepts (ETL/ELT, data modeling, data quality).
• Problem-solving mindset and willingness to learn new technologies.
• Ability to collaborate with both business and technical stakeholders.
• Authorization to work in the U.S. without sponsorship now or in the future.

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Preferred / Nice-to-Have

• Exposure to Snowflake, Coalesce, Airflow, or Workday integrations.
• Experience in an Agile environment.
• Relevant technical certifications (preferred).
• Familiarity with REST APIs, DevOps concepts applied to data pipelines, metadata management, and BI/semantic-layer tools.

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Compensation & Benefits

• Base pay range: $73,000 - $98,000 per year (range reflects expected experience and skills; final compensation depends on qualifications).
• Health, dental, and vision insurance.
• Generous 401(k) with company match.
• Paid time off (PTO) and paid holidays.
• Flexible / hybrid work schedule (as applicable).
• Paid volunteer program.

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Location & Work Authorization

• Job location: Pekin Mall, IL (on-site or hybrid as defined by the client).
• Applicants must be authorized to work in the U.S. without sponsorship now or in the future.

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Why Join

This role is a strong fit for an early-career data engineer who wants hands-on exposure to modern cloud data platforms and production data pipelines. You’ll join an engineering team that values collaboration, continuous learning, and practical impact on business outcomes.

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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.