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

This entry-level Data Engineer I will support the sourcing, preparation and maintenance of data assets for Wholesale Credit Delivery portfolios and operational processes. Responsibilities include:

• Support development and maintenance of reliable data sources to satisfy project and business information needs.
• Learn and document critical application systems and data flows; transform data so it is consumable for BI developers, analysts and data scientists.
• Use and grow skills in SQL, Python, R and/or SAS to organize, format and automate repeatable data pipelines and extracts.
• Deliver assigned ad-hoc data pulls, basic analyses and reports; partner with senior data engineers for direction and review.
• Research and support remediation of data integrity issues; identify patterns and recommend fixes or process improvements.
• Follow data management guidance including security, compliance and privacy requirements.
• Collaborate across teams to communicate findings and support business stakeholders.

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Location & Work Type

• Atlanta, GA (30309) — office-based role (1st shift).
• Employment type: Full-time.
• Reasonable accommodations are available for applicants with disabilities.

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Required Qualifications

Candidates must demonstrate academic aptitude, quantitative skills and clear written/oral communication. Required:

• Bachelor’s degree in Finance, Mathematics, Analytics, Data Science, Computer Science, Engineering or similar.
• 5+ years of professional experience in a quantitative field (as stated by the client).
• Some hands-on exposure to data engineering tasks and managing small data volumes.
• Familiarity with data extraction and query languages/environments (SQL, SAS, etc.).
• Experience meeting deadlines in a collaborative project environment.
• Willingness to learn statistical/analytical tools and data lifecycle practices.

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Preferred Qualifications

• Master’s degree in a related quantitative field.
• 8+ years of experience in quantitative roles (as stated by the client).
• Understanding of the data analytics lifecycle, including data cleansing and preparation methodologies.

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Compensation & Benefits

• Estimated annual salary: $181,142 (estimated).
• Benefits (for eligible employees working 20+ hours/week) may include medical, dental, vision, life insurance, disability, tax‑preferred savings accounts, and a 401(k) plan. Paid time off starts at a minimum of 10 vacation days (prorated in year one), 10 sick days (prorated), and paid holidays. Some roles/divisions may also be eligible for pension, restricted stock units, or deferred compensation. Specific benefits depend on the hiring division and role.

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How We Hire — Reasonable Accommodations

If you have a disability and need assistance with the application process, you may request a reasonable accommodation. The Careertakes platform and our client will work to provide accessible application steps and interview processes.

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Confidential Client — Additional Notes

• This role supports Wholesale Credit Delivery functions and will develop domain knowledge across multiple lines of business.
• The client is seeking candidates who are coachable, curious, and collaborative, and who will grow technical skills in data engineering tools and analytics.

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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.