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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Role overview

Confidential client is hiring a Junior Data Engineer to support a data modernization program on Google Cloud Platform (GCP). This is an entry-level, full-time role based in Atlanta, GA, ideal for recent graduates or early-career engineers with strong foundations in SQL, Python, and data fundamentals. You will work with senior engineers to build and maintain ETL/ELT pipelines, implement Medallion (Bronze/Silver/Gold) layering in BigQuery, and learn industry best practices for data quality, observability, and governance.

Estimated compensation: $118,035 per year (estimated).

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What You’ll Do

• Assist in building and maintaining data ingestion pipelines into BigQuery using tools such as Fivetran and Python
• Support development of Bronze / Silver / Gold data layers for analytics and reporting use cases
• Contribute to data transformations using dbt (training provided if needed)
• Help implement basic data validation and data quality checks; support monitoring and troubleshooting of pipelines
• Contribute to version-controlled development workflows using GitHub
• Assist in documenting data pipelines, transformations, and data models
• Learn CI/CD and Infrastructure-as-Code concepts (exposure to Terraform)
• Partner with data engineers, analysts, and business stakeholders to understand data requirements and support governance initiatives

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Required qualifications

• Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related field
• Strong academic foundation in:
  • SQL
  • Python (or a similar programming language)
  • Data structures and problem solving
• Internship, coursework, or project experience related to data engineering, analytics, or cloud platforms
• Willingness to learn modern data tools and cloud technologies
• Strong communication and collaboration skills

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Preferred qualifications

• Exposure to cloud platforms such as GCP, AWS, or Azure
• Familiarity with BigQuery or other relational/columnar databases
• Familiarity with dbt or similar data transformation tools
• Understanding of APIs and data ingestion concepts
• Experience with Git/version control
• Academic or personal projects that demonstrate building data pipelines or analytics workflows

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Skills & tools you’ll use

• SQL
• Python (or equivalent)
• Google BigQuery
• dbt (data transformations)
• Fivetran (or other ingestion tools)
• Git / GitHub
• Terraform (exposure)
• Data quality and observability practices
• Medallion data architecture and data modeling

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Location & employment type

• Work location: Atlanta, GA (onsite / local) — position lists Atlanta, GA as the job location
• Employment type: Full time
• Applicants must be legally authorized to work in the United States; the employer will comply with applicable work-authorization verification requirements.

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Compensation & benefits

• Competitive total rewards (base salary + bonus, if applicable)
• Customizable medical plan options and HSA matching
• Generous paid time off and paid holidays
• Paid parental leave
• Education assistance and professional learning (e.g., LinkedIn Learning)
• Mental health and family planning resources
• 401(k) program with company match
• Employee resource groups and other inclusive programs

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Notes for applicants (compliance & accessibility)

Careertakes and our client comply with all applicable federal, state, and local employment laws. If you require a reasonable accommodation during the application or interview process, please contact Careertakes so we can work with the hiring team to support your request.

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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.