5 Entry Level Data Engineer Resume Examples for 2024

As a hiring manager in the tech industry, I know a strong resume opens doors. This guide provides proven examples and tips to shape an entry-level data engineer's resume. You will learn to showcase SQL proficiency, data modeling, and Hadoop skills effectively. Simple steps help you reflect relevant internships and projects, ensuring your resume meets industry standards and catches employers' attention.

  Compiled and approved by Marie-Caroline Pereira
  Last updated on See history of changes

  Next update scheduled for

At a Glance

Here's what we see in standout resumes for entry level data engineers.

  • Showcasing Impact With Numbers: The best resumes show clear impact with figures. Metrics like data processing speed, database error reduction, cost savings, and efficiency improvements are crucial. They prove your contributions are measurable and significant.

  • Matching Skills To Job Descriptions: Include skills on your resume that you have and are also listed in the job description. Common ones are SQL, Python, ETL pipelines, data modeling, and big data technologies. Choose those that match your abilities.

  • Industry Trends In Resumes: Many are now highlighting cloud computing skills. Include phrases like cloud data warehousing to show you're up-to-date with industry shifts.

Example #1

Entry Level Data Engineer
Resume Sample

Your Name
Entry Level Data Engineer
City, Country  •  (123) 456-789  •  [email protected]  •  linkedin.com/in/your-profile
Resume Worded June 2021 - Present
Data Engineer Intern
Integrated Apache Hadoop into the legacy system, resulting in a 20% improvement in data processing speed.
Implemented data cleansing procedures, which increased data accuracy by 30%.
Expanded our ETL pipelines, thereby doubling data throughput and improving overall performance by 35%.
Coached.com January 2021 - May 2021
Data Analyst Intern
Used Python and R to automate 20+ weekly data reports, saving roughly 10 hours per week.
Worked with a cross-functional team to develop a predictive model that increased marketing campaign efficiency by 15%.
Implemented SQL databases, reducing data retrieval time by 25%.
IBM June 2020 - December 2020
Database Management Assistant
Maintained and monitored database performance, which benefited the company by reducing downtime by 15%.
Assisted in the development of robust data architecture that led to better data management.
Used ETL tools to manage a successful data migration process, enhancing overall system performance by 20%.
Resume Worded University May 2021
Master of Science - Data Science
Coursework: Machine Learning, Advanced Data Analytics
Completed thesis on predictive modeling techniques
Resume Worded Institute June 2020
Bachelor of Science - Computer Science
Part-time (concurrent with Database Management Assistant role)
Specialization in Database Management Systems
Data Processing: SQL, NoSQL, ETL processes, Data Cleaning, Python (pandas, numpy), Excel
Big Data Technologies: Hadoop, Spark, Hive, Pig, Kafka, Amazon Redshift
Programming: Python (Flask, Django), Java, Scala, Bash scripting, R
Data Visualization & BI Tools: Tableau, Power BI, D3.js, Matplotlib, seaborn
Certifications: Google Cloud Certified - Professional Data Engineer (2022), AWS Certified Big Data - Specialty (2021)
Technical Projects: Developed a predictive model for retail sales forecasting, Improved ETL pipelines reducing processing time by 20%
Awards: IBM Innovation Award 2020, Coached.com 'Outstanding Intern' Recognition
Professional Development: Attended 'Strata Data Conference' 2022, Active member of 'Data Engineering Weekly' meetup

Positioning the education section

As an entry level data engineer, education gets priority. You are fresh to the industry, so it’s important to use your academic credentials as a key selling point. Therefore, place your education section before your experience section. This way, hiring managers see your most relevant qualifications first.

If you have continued your education beyond the undergraduate level, or completed training courses related to data engineering, don't leave them out. They offer good talking points about your dedication and competency in this field.

Example #2

Entry Level Data Engineer
Resume Sample

Your Name
Entry Level Data Engineer
City, Country  •  (123) 456-789  •  [email protected]  •  linkedin.com/in/your-profile
Microsoft March 2021 - Present
Graduate Data Associate
Developed a data classification system that streamlined data management, increasing workflow efficiency by 30%.
Utilized Hive and Pig to process unstructured data, resulting in a more comprehensive data analysis.
Designed and maintained algorithms for data tracking, increasing data reliability by 40%.
Resume Worded June 2020 - February 2021
Data Analytics Intern
Used machine learning algorithms to deliver an insight-driven analytics framework, improving reporting efficiency by 25%.
Reduced costs by driving automation of key data flows utilizing Python scripting.
Leveraged Tableau to create intuitive and actionable data visualizations.
Coached.com February 2020 - May 2020
IT Intern
Assisted in managing a corporate SQL Server database, resulting in better data stability.
Collaborated in the development of an AI chatbot, leading to a 20% increase in customer service efficiency.
Worked on PHP scripting to build dynamic website components, resulting in more engaging user interaction.
Resume Worded Institute May 2021
Master of Science in Data Science
Completed thesis on Predictive Modeling Accuracy with Big Data
Part-time program completed alongside Graduate Data Associate role
Resume Worded University May 2020
Bachelor of Science in Computer Science
Specialization in Data Structures and Algorithms
Graduated with Honors, GPA: 3.85/4.0
Programming Languages: Python (Pandas, NumPy, PySpark), SQL, Java, C++, R, Scala
Data Processing & Analytics: Apache Spark, Hadoop, Microsoft Azure, Databricks, Power BI, Tableau
Machine Learning Tools: TensorFlow, Keras, Scikit-learn, MLlib, XGBoost, LightGBM
Database Management: MongoDB, MySQL, PostgreSQL, Cassandra, Redis, Microsoft SQL Server
Certifications: AWS Certified Big Data – Specialty (2022), Microsoft Certified: Azure Data Scientist Associate (2021)
Technologies: Docker, Kubernetes, Git, Jenkins, JIRA, Confluence
Publications: Co-author of 'Data Lakes Optimization Techniques' published in Data Eng Weekly (2022)
Continuing Education: Advanced SQL for Data Scientists, Resume Worded Academic Center (2022), Python for Data Analysis, Resume Worded Institute (2021)

Showcasing relevant projects

It is important for entry-level data engineers to highlight data-related projects or coursework. If your academic or personal projects involved using data science tools, processing data sets, or creating data infrastructure, these are worth noting.

When describing these projects, emphasize specific data engineering skills used, such as SQL knowledge, extracting and cleaning data, or understanding algorithms. This tangible evidence of your abilities can strongly improve your chances.

Example #3

Junior Data Specialist
Resume Sample

Your Name
Junior Data Specialist
City, Country  •  (123) 456-789  •  [email protected]  •  linkedin.com/in/your-profile
Oracle May 2021 - Present
Junior Data Specialist
Implemented data integrity checks that increased data accuracy by 25%.
Used neural networks in Python to develop a recommendation system that increased conversion rates by 20%.
Enhanced the scalability of the real-time data processing architecture, boosting throughput capacity by 45%.
Resume Worded January 2021 - April 2021
Data Analyst
Utilized advanced Excel functions to deliver detailed data audit reports, improving data quality by 20%.
Developed a new dataset management procedure using SQL which improved data retrieval times by 30%.
Implemented a sophisticated tracking algorithm, reducing data irregularities by 25%.
Google January 2020 - December 2020
IT Support Specialist
Troubleshot database issues, reducing data discrepancies and consequently improving customer satisfaction by 20%.
Implemented a more efficient data backup system that resulted in a 25% improvement in data recovery times.
Collaborated in migrating the IT support services to a new CRM, improving service management efficiency by 30%.
Facebook June 2019 - December 2019
Intern, Computer Science
Assisted in the development of a new application, which increased department efficiency by 15%.
Launched a self-led initiative to compile a directory of common software issues and solutions, improving time-efficiency for future interns by 25%.
Contributed to the database design process that streamlined company operations by 15%.
Resume Worded Institute May 2021
Master of Science in Data Analytics
Thesis on Predictive Modelling Accuracy with Unstructured Data
Relevant coursework: Big Data Analytics, Machine Learning Algorithms
Resume Worded Academic Center December 2018
Bachelor of Science - Computer Science
Part-time student (concurrent with IT Support Specialist role)
Capstone project on Cloud Computing Solutions for SMEs
Data Analysis: SQL, R, Python (Pandas, NumPy), Tableau, Power BI, Excel (Advanced Macros, Pivot Tables)
Machine Learning: Scikit-learn, TensorFlow, Keras, PyTorch, Natural Language Processing, Data Mining Techniques
Database Management: MySQL, PostgreSQL, MongoDB, Oracle Database, Microsoft SQL Server, Amazon Redshift
Programming: Java, C++, Bash Scripting, JavaScript, PHP, Git
Certifications: Certified Data Professional (CDP - 2022), Microsoft Certified: Data Analyst Associate (2020)
Volunteering: DataKind Data Corps Volunteer (2021-Present), Tech For Good – Data Trainer (2020)
Conferences: Panel Speaker at Annual Data Science Conference (2022), Attendee at Machine Learning Global Summit (2021)
Technical Writing: Contributor to 'Insights in Data' Blog (2019-Present), Co-author of 'The Practical Guide to Data Analysis' e-book (2021)

Optimal resume length

Consider your resume as your professional summary, and keep it concise. You should aim for a one-page resume, even if you feel the urge to elaborate further. Being an entry-level candidate, this length will showcase your capabilities without overwhelming the hiring managers.

If you're struggling to fit everything within a page, look to streamline your content. A strong focus on relevant skills, education, and experience related to data engineering will help you keep your resume on point.

Example #4

Data Engineering Technician
Resume Sample

Your Name
Data Engineering Technician
City, Country  •  (123) 456-789  •  [email protected]  •  linkedin.com/in/your-profile
Coached.com May 2021 - Present
Data Engineering Technician
Spearheaded a project to optimize ETL pipelines, leading to a 35% improvement in data processing times.
Leveraged NoSQL databases to handle large amounts of data, resulting in a significant improvement in performance.
Managed data modeling projects, resulting in a 20% improvement in report accuracy.
Apple January 2021 - April 2021
Data Analyst
Developed and maintained data visualizations using Tableau resulting in quicker insights for stakeholders.
Analyzed large data sources using SQL and Python, improving data processing efficiency by 25%.
Used advanced Excel functions for generating insights and reporting, leading to a 20% reduction in report errors.
Dell June 2020 - December 2020
Sales Operations Analyst
Managed sales data and metrics, improving forecasting accuracy by 20%.
Collaborated with the sales team to develop a sales tracking system that increased sales efficiency by 15%.
Utilized SQL for data manipulation and reporting, driving more data-driven decisions in the sales department.
Comcast May 2019 - June 2020
Customer Service Representative
Managed customer data and records, improving data accuracy and privacy.
Designed a customer feedback survey that provided key data insights for the customer success team.
Analyzed call log data to identify common customer complaints, resulting in a 10% improvement in customer satisfaction ratings.
Resume Worded Institute April 2021
Certification in Data Engineering
Coursework in Advanced Data Systems, ETL Practices
Resume Worded University May 2019
Bachelor of Science in Computer Science
Specialization in Database Management
Part-time during tenure with Comcast
Data Processing: SQL, NoSQL, ETL Tools (Talend, Informatica), Data Warehousing, Python (Pandas, NumPy), JSON, XML
Analytics & Visualization: Tableau, Power BI, Advanced Excel, Google Analytics, MATLAB, D3.js
Programming: Python (Expert), Java (Intermediate), Scala (Basic), Git, Docker, Jenkins
Cloud Platforms: AWS (EC2, S3, RDS, Lambda), Microsoft Azure, Google Cloud Platform, Redshift, Snowflake
Certifications: AWS Certified Solutions Architect – Associate (2022), Microsoft Certified: Azure Data Scientist Associate (2020)
Projects: Optimized data ingestion pipelines for measurable 30% efficiency boost at Coached.com
Professional Development: Regular attendee of Data Engineering Conferences, participated in big data workshops
Publications: Contributor to 'The Data Chronicles' blog, focusing on trends in cloud-based data solutions

Standing out with certifications

For entry-level data engineers, professional certifications can be a major differentiator. Relevant certificates from industry-recognized organizations emphasize your commitment and specialized knowledge.

Especially consider including certifications for data processing tools like Hadoop or Spark, and programming languages like Python or R. As data engineering is a highly technical field, these can be great additions to your resume, demonstrating your practical skills.

Example #5

Entry Level Data Engineer with Healthcare specialization
Resume Sample

Your Name
Entry Level Data Engineer with Healthcare specialization
City, Country  •  (123) 456-789  •  [email protected]  •  linkedin.com/in/your-profile
Mayo Clinic June 2021 - Present
Entry Level Data Engineer with Healthcare specialization
Built an electronic data capture system fulfilling HIPAA regulations leading to 35% improvement in patient data security.
Managed patient data merging processes and removed duplicates, resulting in a 30% increase in data integrity.
Designed and implemented an AI model to predict patient readmission rates which increased forecasting accuracy by 25%.
Resume Worded January 2021 - May 2021
Data Analyst Intern
Automated data reporting processes using Python and R, saving 15 hours of manual labor every week.
Developed data cleansing procedures that increased data accuracy by 20%.
Launched an AI-powered chatbot leveraging machine learning, which improved customer service response times by 30%.
UnitedHealth Group August 2020 - December 2020
Healthcare Quality Analyst
Developed reports on patient satisfaction scores and quality of care, contributing to strategic planning.
Managed healthcare data using SQL, improving data retrieval times by 30%.
Utilized Python for analyzing large healthcare datasets, improving prediction accuracy for patient outcomes by 20%.
Johns Hopkins Hospital January 2020 - July 2020
Clinical Research Volunteer
Compiled and organized patient medical records into a centralized database for ease of access.
Assisted in data analysis for several clinical projects, improving statistical accuracy.
Translated medical jargon into digestible information for patient and their families.
Resume Worded Institute May 2021
Master of Science in Health Informatics
Specialized in Healthcare Data Management
Part-time program alongside full-time employment at Mayo Clinic
Resume Worded University December 2019
Bachelor of Science in Computer Science
Focused on Software Development and Data Structures
Capstone Project on Predictive Analytics in Healthcare
Programming Languages: Python (Pandas, NumPy), SQL, Java, Scala, Bash, R
Data Processing: Apache Spark, Hadoop, Hive, Kafka, Flink, Airflow
Database Management: MySQL, PostgreSQL, MongoDB, Redis, Microsoft SQL Server
Development Tools & Platforms: Docker, Jenkins, Git, JIRA, AWS (EC2, S3, Lambda), Azure
Certifications: AWS Certified Solutions Architect – Associate (2022), CompTIA Data+ (2021)
Projects: Developed an ETL pipeline for clinical trial data consolidation at Johns Hopkins Hospital
Awards: Recipient of Resume Worded Academic Scholarship for academic excellence in Computer Science (2019)
Professional Development: Attended annual HIMSS Global Health Conference & Exhibition, Continuous learning through DataCamp and Coursera specialties

Optimize for applicant tracking systems

When you apply for a job as an entry-level data engineer, your resume might first be read by a computer program before a person sees it. These programs are called applicant tracking systems (ATS). They look for keywords and phrases that match the job. To pass this first test, you need to know what to include in your resume.

  • Use words from the job description like 'data analysis' and 'SQL'.
  • Include projects or coursework relevant to data engineering. Show skills like 'Python scripting' or 'data visualization'.

Make sure your resume is simple and clear. Do not have any images or complicated designs. Use standard headings like 'Work Experience' and 'Education'. This helps the computer program find the right information on your resume.

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Entry Level Data Engineer

Resume Sample #1

Entry Level Data Engineer

Resume Sample #2

Junior Data Specialist

Resume Sample #3

Data Engineering Technician

Resume Sample #4

Entry Level Data Engineer with Healthcare specialization

Resume Sample #5