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 & AI).

Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.

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Responsibilities

This entry-level position is a hands-on role supporting data engineering and analytics initiatives. You will work with senior engineers and data scientists to prepare, process, and analyze data used for reporting and advanced analytics.

• Assist in data collection, cleaning, and transformation to prepare datasets for analysis and reporting.
• Write, review, and optimize SQL queries for data extraction and manipulation.
• Support development and maintenance of data pipelines, ETL jobs, and database objects.
• Collaborate with senior team members to analyze datasets and produce actionable insights.
• Document data definitions, ETL processes, and troubleshooting steps.
• Participate in code reviews, testing, and continuous improvement efforts.

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Qualifications (Minimum Requirements)

Candidates should have foundational technical knowledge and academic or project experience working with data.

• Bachelor’s degree in Computer Science, Information Technology, Data Science, or a related field.
• Academic or internship experience with data-related projects (data analysis, database design, ETL, or similar).
• Strong knowledge of SQL (required).
• Basic understanding of data structures, algorithms, and relational database concepts.
• Good problem-solving skills, attention to detail, and ability to work in a team.

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Preferred Skills

These skills will help you ramp faster and contribute to production systems sooner.

• Familiarity with Python (or another scripting language) for data manipulation and automation.
• Exposure to data visualization tools such as Tableau or Power BI.
• Understanding of basic data warehousing concepts and ETL patterns.
• Experience with version control (Git) and simple CI/test workflows.
• Comfort reading and interpreting technical documentation and data schemas.

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Compensation & Benefits

The base compensation range for this role in Charlotte, NC is: $60,000 - $65,000 (annual).

• This role may also be eligible for additional compensation such as variable incentives or bonuses, where applicable.
• Benefits may include medical/dental/vision coverage, retirement savings (e.g., 401(k)), paid time off, life/disability insurance, and employee assistance programs — actual benefits depend on local policy and eligibility.

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What We Value / Team & Culture

Our client seeks motivated, curious early-career professionals who are eager to learn and contribute. You’ll join a collaborative team that values clear documentation, mentorship, and continuous improvement. The role is well-suited for recent graduates or candidates transitioning from academic projects to production environments.

• Opportunities for mentorship and skills development in data engineering and analytics.
• Exposure to real-world data problems across business domains.
• A supportive environment that encourages asking questions and trying new approaches.

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Commitment to Accessibility

Careertakes and our client are committed to providing reasonable accommodation during the recruitment process. If you need assistance or accommodation, please let the recruiting contact know.

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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.