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

This role supports the Wholesale Credit Delivery team by sourcing, preparing, and maintaining reliable data assets used across analytics, business reporting, and decision science. Day-to-day responsibilities include:

• Support development and maintenance of data sources for projects and business requirements.
• Learn and document critical application systems and data flows; transform data assets for downstream consumption.
• Use SQL, Python, R, SAS and other tools to organize, format and automate repeatable data solutions.
• Deliver ad-hoc data pulls and analyses; partner with senior data engineers for guidance and review.
• Investigate data integrity issues, recommend corrections, and identify trends and patterns in datasets.
• Follow security, compliance, privacy, and data management policies.
• Communicate effectively with core teams and junior managers to coordinate work and share findings.

---

What We’re Looking For

Required qualifications (as listed by our client):

• Bachelor’s degree in Finance, Mathematics, Analytics, Data Science, Computer Science, Engineering, or a related quantitative field.
• 5+ years of experience in a quantitative field (note: this role is titled Data Engineer I but the client lists this experience requirement).
• Some hands-on experience with data engineering tasks and managing small data volumes.
• Familiarity with data extraction and manipulation tools/environments (e.g., SQL, SAS).
• Experience working on projects with tight deadlines in a collaborative setting.
• Strong written and oral communication skills; quantitative aptitude and business acumen.

Preferred qualifications:

• Master’s degree in a related quantitative field.
• 8+ years of experience in a quantitative field.
• Understanding of the data analytics lifecycle, including data cleansing and preparation methodologies.

Reasonable accommodations will be made to enable individuals with disabilities to perform essential job functions.

---

Compensation & Benefits

• Estimated pay: $126,268 per year (estimated).
• Benefits (for eligible regular teammates working 20+ hours/week) may include:
  • Medical, dental, and vision plans
  • Life and disability insurance
  • 401(k) plan and tax-preferred savings accounts
  • Paid vacation, sick time, and holidays
  • Possible eligibility for pension, restricted stock units, and deferred compensation depending on role/division

Note: Benefit eligibility depends on position, division and full- or part-time status. See the client’s benefits site for details.

---

Location & Work Details

• Work location: Charlotte, NC (postal code: 28230)
• Employment type: Full-time
• Work shift: 1st shift (United States)
• Language: English (required)
• Hiring prerequisites: Must be authorized to work in the U.S.; background checks or other verifications may be required as permitted by law.
• Accessibility: If you need a reasonable accommodation during the hiring process, you may request one; the client will consider requests in accordance with applicable laws.

---

About the Industry

This position is in the IT industry supporting Wholesale Credit Delivery operations. You’ll work with application and data teams to ensure data assets are accurate, accessible, and useful for business information developers, decision scientists, and analysts.

---

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.