How to structure an entry-level data engineer resume without professional experience?

Start with a concise summary highlighting degree, internship and certification; split skills into key and technical sections. Detail internship duties with action-result bullets, then add education, projects, certifications and volunteer work.

With an expected job growth of 9% by 2031, the demand for data engineers is expected to keep increasing with approximately 11,500 new job openings yearly.

If you are interested in the field of technology and data, kick-starting your career as a junior or an entry-level data engineer is a great way to go.

However, meeting the necessary requirements and having solid tech skills are not quite enough. You also need to showcase them effectively on your resume to get shortlisted for interviews.

Your entry-level data engineer resume is often the first point of contact between you and potential recruiters. Thus, the importance of crafting it with care and attention.

So, what makes a great entry-level engineer resume? What does it look like?

Read on to see a stellar entry-level data engineer resume sample and understand why it works well.

Junior Data Engineer Resume Sample


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Tips & Guides
Jack Wilson
Junior Data Engineer
SUMMARY
Data-driven computer science graduate with 6 months of internship experience and data engineering fundamental certification skilled at assembling, extracting, transforming, and loading extensive data for enabling different data sets to work together. Adept at deploying distributed systems for collecting and processing log events from multiple sources and designing data schema to operate internal data warehouses and SQL/NoSQL database systems.
KEY SKILLS
• Data Pipeline & Workflow Management • Data Architecture • Data Assembling • Data Infrastructure Development
• Process Improvement • Automation • Database Management • ETL
TECHNICAL SKILLS
• Tools & Software: Amazon Redshift, Big Query, Tableau, Looker, Apache Spark, Airflow, Apache Hive, Segment
• Languages: Python, C++, Java, SQL, NoSQL, AWS
EDUCATION
B.Tech. in Computer Science & Engineering
Wayne University
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    • GPA: 4.5
    INTERNSHIP
    Data Engineer Intern
    Analytics Co.
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      • Assisted in building data pipelines to improve data quality and facilitate iterations for accommodating new user requirements
      • Automated pipelines to reduce workload for senior data engineers and increased the efficiency of data loading by 15%
      • Implemented and automated the deployment of distributed systems for collecting and processing log events from 8+ sources
      • Designed data schema and operated internal data warehouses by leveraging SQL and NoSQL database systems
      • Supported the design and development of 5+ data warehouse (DWH) environments by integrating data from 9+ platforms
      PERSONAL PROJECTS
      • Optimizing Data Infrastructures| Mar '22
      • Identified and analyzed 6+ data sources by deploying AWS big data technologies to reduce the cost of dataset management
      • Utilized prioritization Matrix and identified KPIs to optimize the process of developing data infrastructures
      • Built an ETL mapping document for the data warehouse by documenting data lineage to ensure data transparency
      CERTIFICATIONS
      • Data Science Fundamentals with Python & SQL | Upskill | Sep '21
      • Microsoft Azure Data Engineering | Coursera | Nov '21
      VOLUNTEER EXPERIENCE
      • Participated in organizing TEALS educational workshops and e-learning courses for underprivileged students
      ADDITIONAL INFORMATION
      • Languages: English (native) and French (fluent)

      Use the template NOW!

      The template begins with a brief summary of the candidate’s career trajectory, highlighting the degree, internship experience, and certification.

      And since the role of a data engineer is a highly technical role, the skills have been divided into two sections - key skills and technical skills.

      Followed by this is the education section that lists the candidate’s degree, name of the university, dates, and CGPA.

      And while the candidate doesn’t have professional experience, the internship section showcases the duties and responsibilities in bullet points, describing the action & result using action verbs, numbers, and a crisp format.

      Following this approach not only gives the resume a crisp look but also enhances readability and highlights the right information.

      To further emphasize the candidate’s skills and potential, the template includes a project, certification, and volunteer experience section.

      Adding these sections illustrates to the recruiters that even though the candidate doesn’t have professional experience, they have gained hands-on experience through volunteering and personal projects.

      Use this template as a reference to create your entry-level engineer resume or see more similar resume samples here for related job profiles:

      You can also use Hiration’s AI-powered resume builder which offers 24x7 chat support to create a similar resume within minutes. If you have any queries, you can write to us at support@hiration.com.

      Also Read: What are the current salary trends for big data engineers in 2023?

      Frequently Asked Questions

      • What should an entry-level data engineer resume include?

        Include a brief summary, key and technical skills, education with degree, university, dates and CGPA, an internship section with quantified bullets, plus projects, certifications, and volunteer experience.

      • How should you format skills on an entry-level data engineer resume?

        Divide your skills into two sections: key skills and technical skills.

      • How do you showcase limited experience on an entry-level data engineer resume?

        Use an internship section with bullet points that describe action and result using action verbs and numbers. Add projects, certifications, and volunteer experience to illustrate hands-on experience.

      • Is data engineering in demand for new graduates?

        Yes. Job growth is expected to be 9% by 2031 with approximately 11,500 new job openings yearly.

      • What is a common mistake to avoid on an entry-level data engineer resume?

        Relying on requirements and solid tech skills without showcasing them effectively on your resume.

      • How should you present internships on a junior data engineer resume?

        Present internships in bullet points that describe action and result using action verbs, numbers, and a crisp format.

      • What does a strong resume summary for a junior data engineer highlight?

        Highlight your degree, internship experience, and certification in a brief summary.

      • Should you list CGPA in the education section?

        Yes. In the education section, list the degree, name of the university, dates, and CGPA.

      • Which tools and languages can you list on an entry-level data engineer resume?

        Examples include Amazon Redshift, Big Query, Apache Spark, Airflow, Apache Hive, Python, Java, SQL, and NoSQL.

      • Where can you find a data engineer resume sample?

        See the Data Engineer Resume Sample for a related format.

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