Entry level Data Engineer Resume

Use this sample resume

About this sample

This resume template is designed to help entry level data engineers showcase their skills and experience in a way that is optimized to get interviews. The template highlights key areas such as experience with data engineering technologies, problem-solving abilities, and any relevant coursework or internships. It also provides space for showcasing any relevant achievements or awards. By using this template, entry level data engineers can present their information in a clear and concise manner that will grab the attention of potential employers and help them stand out in a competitive job market.

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In this article

The Data Engineer’s Resume Guide for 2022

Here are our most important resume guidelines we recommend all job seekers follow for a significantly better shot at getting invited for an interview.

Here’s what we’re going to cover in this guide:

  • How to properly format your resume for success in 2022 
  • How to talk about your work experience and personal projects
  • How to create a competitive skills section
  • How to customize your resume for each job you apply to

Formatting a Data Engineer Resume

Reverse chronological structure: Recent experience first

Reverse chronological resume is the most popular which almost all job seekers should be using. This format means listing out the most recent and relevant things first. It starts with the most recent timeline and you work your way backward, e.g. the latest job position comes first in your work experience section, not the oldest. Structuring your resume this way makes your career timeline more established. 

Data Engineer Resume Length

Stick to 1 page.

Most IT Specialists have found that their best shot at landing an offer is by having a one or two-page resume. This includes a collection of sections that cover relevant past experiences. Your resume should be no longer than three pages. The risk of going beyond two pages is including irrelevant content that could distract from your qualifications.

Avoid Common Data Engineer Resume Format Mistakes

1) Resumes must include as much content as possible.

2) Uniform and labeled  section headers

When it comes to creating an ATS-optimized resume, it’s good to know how it will be read by the software. Like most human readers, the ATS will read from left to right and top to bottom. 

3) Minimal white-space

8 ATS IT Resume Examples (Including Writing Tips)

Key Sections for a Data Engineer Resume 

A Tailored Resume Summary 

In a competitive field like Data Engineer, hiring managers sometimes review hundreds of applications for a single position. Writing a resume that stands out is difficult, so solve that problem by including a compelling introduction for your resume. Begin your resume with a resume objective, which is a 2–3 sentence paragraph about your job-relevant skills and career goals.

 Associate data engineer with 4 years of experience in data warehousing, database systems, and SQL database. Proficient in database design, ETL processes, and data modeling. Applying for a position as a Data Engineer in a fast paced, team-oriented environment.
 Associate data engineer with 4 years of experience in Hadoop Ecosystem, Apache Kafka, and Apache Spark. Proven understanding of exponential scaling data sets and data processing. Experience in building data pipelines with real-time data processing. Applying for a position as a data engineer in the engineering department.
 Data engineer with 4 years of experience in ELk stack, NoSQL database and Amazon Redshift. Handled large scale data analytics and data pipelines for multiple clients across multiple industries. Skilled at implementing data collection processes and data aggregation techniques for data analysis. Applying for the position of Associate Data Engineer at Company A.
You can read more about how to create a resume summary with artificial intelligence here.

Your Relevant Professional Experience 

Employers will want to know what you’ve done in your previous job position to get insight into your skills and expertise. Knowing what you’re familiar with will help them make a decision and to see if you’re more of a good fit compared to the other applicants.

However, you should also be including any positive results you’ve accomplished.

Information Technology(IT) Certifications

Emphasize your credentials. Include mention of all Important Skills for Information Technology (IT) Jobs, Certified cloud security professional (CCSP), Amazon Web Services (AWS) Certified Data Analytics, Cloudera Data Platform Generalist Certification, Data Science Council of America (DASCA) Associate Big Data Engineer, IBM Certified Solution Architect – Data Warehouse V1 or other IT/Programming methods or processes.

Skills for a Data Engineer Resume

Either at the beginning (after the resume summary) or at the end of your resume, insert a tech table that lists the software, hardware, and technical processes with which you are conversant. Be sure to include those that are specifically mentioned in the job ad; these are important “keywords” that will help rank your resume highly when it is scanned by an automated applicant tracking system during its first round of review.

Hard skills like software, tools, and the technical knowledge to interacting on websites, developing servers, and databases for website functionality, and coding for different platforms. But don’t forget to include soft skills like teamwork and communication skills, which are necessary to coordinate with developer, Consultant, Business owner and Security Analyst. 

Here are more key hard and soft skills that look great on a Data Engineer manager resume:

Hard skills to consider

  • Engineering programs: Apache Hadoop and Apache Spark, Amazon Web Services/Redshift (for data warehousing), HDFS and Amazon S3, Machine learning, Algorithm and data structure.
  • Industry credentials: Amazon Web Services (AWS) Certified Data Analytics, Cloudera Data Platform Generalist Certification, Data Science Council of America (DASCA) Associate Big Data Engineer, IBM Certified Solution Architect – Data Warehouse V1

Soft Skills to consider

  1. Critical Thinking
  2. Collaboration
  3. Strong Work Ethic
  4. Communication
  5. Creativity
  6. Always Punctual

IT/Programming Resume Content

Using Metrics to Quantify Experiences

Don’t simply fill your resume with lists of your Data Engineer job responsibilities. To impress the hiring manager, put your experience in context with specific examples and hard numbers that prove you’re an accomplished IT Specialist.

For instance, list how you Implement data structure measures. How you design, develop and maintain computer software also build systems that collect, manage, and convert raw data into usable information to interpret. How you design user interactions on websites, develop servers, and databases for website functionality, and coding for mobile platforms.

Optimizing Resume Content with IT/Programming Keywords

How to tailor your resume to a job. Many hiring managers use applicant tracking systems (ATS) to filter applications based on resume keywords they write in their job ads. The more Data Engineer –related keywords you can use, the higher the chances your resume gets past the ATS and onto the hiring manager’s shortlist of applications.

The ATS keyword research process doesn’t have to be difficult. In fact, it’s a straightforward process if you’re doing it with Rezi. Our AI Keyword Targeting feature allows you to upload a job description and instantly see which keywords should be included in your resume's content.

Instantly Generate Data Engineer Resume Content

Job seekers can now use AI to create the perfect application with minimal effort. How long does it take to make a resume writes tailored content instantly and prevents writer’s block completely. It’s that simple yet highly effective in helping you get more job offers and interviews faster. 

All you need to do is enter a few details such as:

  • Name
  • Industry
  • Experience level
Learn more about Rezi AI Resume Writer here

Include A Data Engineer Cover Letter

Many job seekers today overlook the importance of a cover letter. The significant impact it can leave on your recruiters will play its part in the decisive moment for whether you’re going to get hired or not.

To put it simply, cover letters can be your gateway to improving your overall job application and a higher chance of getting the job.

Unless your resume is absolutely perfect with no flaws, why settle for less? A cover letter can greatly increase your odds of getting hired for the company you want to work for, even if it’s a competitive job posting.

Learn more about Rezi AI Cover Letter Builder here

Create & Manage

Resume management, simplified

Whether you have 2 resumes or 200, our Rezi is developed to effortlessly create tailored resumes for specific job descriptions. Leverage automation to move fast, while always creating resumes that get you noticed.
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Content Focused Features

Work at the speed of thought

Rezi AI is powerful, capable, and packed with everything you need to bring your resume to the next level. Articulate your achievements and creativity further than you can imagine. No matter who you are, or what job you want to do, Rezi can make it happen.
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AI & Human Powered Reviewing

Confidence by design

Rezi makes it easy to feel confident about your resume. With features that help you understand how well you've create your resume, and lets you know exactly what needs to be improved and where.
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Entry level Data Engineer Resume

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What should I put on my resume for EEntry level Data Engineer?
When preparing a resume for an entry-level data engineer, focus on your education, technical skills, and relevant coursework or projects. Highlight your knowledge of data warehousing, ETL processes, and SQL programming. Mention any experience you have with data visualization, machine learning, and cloud computing technologies.
What are the key characteristics of an effective Entry level Data Engineer?
An effective entry level data engineer should have a strong foundation in computer science and mathematics, be able to understand and work with large data sets, and have experience with data storage and retrieval systems such as SQL and NoSQL databases. Additionally, they should be proficient in at least one programming language, familiar with data visualization tools, and be able to use statistical methods to analyze and interpret data. Furthermore, strong problem solving skills, attention to detail, and the ability to work well in a team are all essential for success in this role.
What type of job path can one expect to have as an Entry level Data Engineer?
An Entry level Data Engineer typically starts in a junior role and gains experience working with data systems, databases and data warehousing. They may work on projects to support data-driven decision-making, build and maintain data pipelines, or develop and implement data-centric solutions. With experience, an Entry level Data Engineer may advance to a more senior role, such as a Data Architect or a Lead Data Engineer.

Charles Bloomberg

• New York City, New York • charlesbloomberg@gmail.com • in/cbloomberg




Master of Science in Biology - Data Science focus | New York University | 2020


Machine Learning: Python (scikit-learn, pandas, NumPy), keras, TensorFlow, Pytorch, Spark MLlib
Data Visualization Tools: Tableau, R Studio, Power BI, Latex, Advance Excel