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, Information Services, Software Development, Data Infrastructure and Analytics.

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 an entry-level Software Engineer with a strong focus on data engineering, analytics, and machine learning support. This full-time role is ideal for candidates with 1–4 years of relevant experience who want to build scalable data pipelines, support AI/ML initiatives, and contribute to production data solutions. Candidates must be willing to relocate anywhere in the United States for onsite client projects.

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What You’ll Do

• Develop, test, and maintain data engineering and AI solutions primarily using Python.
• Build and support end-to-end data pipelines and ETL workflows.
• Write, optimize, and maintain SQL queries for extraction, transformation, and analysis.
• Collect, clean, transform, and analyze structured and unstructured data sets.
• Automate repetitive data processing tasks and data quality checks.
• Collaborate with developers, data engineers, analysts, and business stakeholders to understand and translate requirements.
• Assist in implementing and validating machine learning models and AI-driven solutions.
• Troubleshoot and resolve pipeline, database, and data processing issues.
• Document technical solutions, pipeline designs, and operational runbooks.
• Stay current with industry best practices, cloud tools, and data-platform patterns.

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Required skills & experience

• 1–4 years of experience in Data Engineering, Data Analytics, Machine Learning, or AI Engineering.
• Strong proficiency in Python for data processing and automation.
• Solid SQL skills and experience with relational databases.
• Practical experience developing end-to-end data solutions and ETL processes.
• Understanding of data transformation techniques, data modeling, and data quality principles.
• Strong analytical, debugging, and problem-solving skills.
• Clear written and verbal communication; ability to work effectively on cross-functional teams.
• Bachelor’s degree in Computer Science, Information Systems, Mathematics, or a related quantitative field (or equivalent experience).

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Preferred skills

• Experience with cloud platforms such as AWS, Azure, or GCP.
• Familiarity with PySpark, AWS S3, Lambda, EC2, Airflow, or Databricks.
• Exposure to machine learning, generative AI, or computer vision concepts.
• Knowledge of probability and statistics.
• Experience with GitLab or other version control workflows.
• R programming knowledge is a plus.

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Compensation & location

• Employment type: Full-time, entry-level.
• Hourly pay: $30.00 – $35.00 USD per hour.
• Location: Role is based in Ohio (statewide). Candidate must be willing to relocate anywhere within the United States for onsite client projects.
• Note: Salary range is provided per the source posting and applies to this hire.

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Why this role is a fit

• Hands-on exposure to data engineering and ML pipelines early in your career.
• Opportunity to work with cloud-native data tools and production-scale datasets.
• Mentorship and cross-functional collaboration with engineering and analytics teams.
• Fast path to deepen skills in Python, SQL, ETL, and cloud data platforms.

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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.