Data engineering is a field growing rapidly, with the demand for data engineers increasing every day. Gone are the days when one or two people would handle big data jobs.
Kevin Malone Data Engineer 453-778-678 kevinemalone@gmail.com Phoenix, AZ
Professional Summary
Experienced Data Engineer with an eight-year background in database design and administration. Developed enterprise architecture, modeled and stored data, and designed data collection methods. Skilled at ascertaining valuable business intelligence from complex datasets and highly proficient in Python and C++ programming languages. Quick learner with strong problem-solving skills, strong collaborator, and outstanding oral and written communication skills.
Work experience
Sunesis Technologies Data Engineer May 2013-June 2015
Used SQL and Spark to build databases and determined weaknesses of new client codes.
Conducted complex data analysis and compiled written reports for the senior data engineer.
Collaborated with senior-level data scientists to manage and store data protecting it from loss and theft.
Designed and managed SQL and NoSQL using DbSchema to assist with data collection processes.
Lafont Consulting Junior Data Engineer January 2012-March 2013
Assisted with training interns on using MongoDB to manage big data for the company.
Collaborated with other IT experts to develop a SQL Server database that improved the overall customer experience.
Prepared data for prescriptive and predictive modeling to optimize processes and help the company make informed decisions.
Joined the senior data engineers in designing ETL processes to help consolidate data in a single repository.
Education
Bachelor's Degree in Computer Science The University of Arizona June 2011
Skills
Hadoop
Apache Kafka
Apache Airflow
SQL
NoSQL
Organization skills
Analytical skills
Detail-oriented
Problem-solving skills
Time management
Additional sections
Certifications Amazon Web Services (AWS) Certified Data Analytics Specialty
Now, these jobs are more specialized, with each of them requiring you to have specific qualifications in data management to get the position. One of these specializations is data engineering, and for you to get your dream job, you need an impeccable data engineer resume.
In this article, we'll help you write a resume that will get the recruiter's attention. In addition to that, you'll find the following information:
Tips on how to structure your work experience and skills.
A data engineer resume example to walk you through the writing process.
The relevant sections you should have in your resume for data engineering.
Salary & Employment Rates for Data Engineers
According to the U.S Bureau of Statistics, employment of database administrators and architects is projected to grow 8 percent from 2020 to 2030.
The industries with the highest levels of employment in Data Scientists and Mathematical Science Occupations include:
Computer Systems Design and Related Services
Management of Companies and Enterprises
Management, Scientific and Technical Consulting Services
Scientific Research and Development Services
Insurance Carriers
The average salary for a data engineer depends on their years of experience, skills and educational qualifications as follows:
0-2 years $107,000
2-4 years $ 113,000
4-6 years $ 116,000
How to Write an Effective Resume for a Data Engineer?
As a data engineer, you need a solid educational background and years of experience to gain the technical skills that you require on the job. If you're a recent graduate, you may not have the experience, but you can use your educational qualifications and skills to get the position you want.
The secret to writing a resume that will get you your next job is ensuring you use what you have to convince the hiring manager you're the best person for the job.
If that's your professional experience, then showcase it and show relevant examples in the workplace that will show your value to the recruiter. If that's your skills and education, present them in the best way to convince the recruiter you're the perfect candidate.
Format of Your Resume
Your resume format should present your best qualifications first. Remember, the hiring manager will only glance at your resume, and you want what they see to keep them reading.
Let's look at some of the formats you can consider:
Reverse-chronological resume format - This focuses on your experience and is suitable for candidates who have worked for many years in their field.
Functional resume - This is great for recent graduates and candidates changing careers because it focuses on your skills and educational qualifications.
Combination/hybrid resume - This format combines the best features of the two previous formats and is also great for candidates with experience and skills.
The structure of your data engineer resume should have the following sections:
The header section
Resume summary/resume objective
Work experience
Education section
Skill section
An additional section (volunteer work, awards/honors, interests, languages, and certifications)
Here is a list of some other resumes you might want to check out:
You'll start your resume with a header that contains the following:
Your full name
Job title
Phone number
Professional email address
Location
A link to your LinkedIn profile or portfolio.
Ensure that the contact information you provide here is accurate because if there are any errors, the recruiter might not reach you. It would be a great disservice to yourself if you have all the qualifications but miss out on the position because of this.
Let's check out two example:
CORRECT
Lisa Bost
Data Engineer
242-887-426
lisabost@gmail.com
Indianapolis, IN
linkedin.com/in/lisabost
INCORRECT
Lisa Bost
Data Engineer
242-887-426
lisabost@gmail.com
2216 Henry Street
House number 04
Indianapolis, IN
linkedin.com/in/lisabost
📌When writing your header section, it's always better to keep it short and avoid adding too much personal information.
Photo or no photo?
It's tempting to add a photo to your resume but don't add one. The reason is that doing so increases your chances of unconscious bias and discrimination. However, always add one to your resume if the recruiter asks for it but let it be professional.
Describe Your Work Experience As A Data Engineer
The experience section is vital for a data engineer. Your potential employer wants to see that you've worked in a similar position and achieved impressive results. Whether it's building a data warehouse capable of storing large quantities of data or building and organizing data pipelines, you should not leave out any relevant experience that could help you beat your competitors.
Here's how you'll list your work experience:
Start with the name of your workplace, your job title and the years you've worked at each workplace. Remember that you always start with your most recent job and go back but focus on the relevant experience to the position.
Add some of your roles and responsibilities at each workplace. Usually, three to five will work.
Quantify your results with facts and figures to show your value to the company.
If you don't have much experience, consider volunteering on projects that will allow you to build your portfolio because this section is important.
📌The job description is the perfect place to check for keywords that you can add to your job duties to optimize them and increase your chances of beating the ATS systems.
CORRECT
Muru Consulting
Data Engineer
January 2016-August 2018
Used Apache Airflow to manage and organize complex workflows, increasing the efficiency by 20%.
Participated in creating an open-source NoSQL database management system that allowed over 100 employees to use data spread across multiple servers.
Created a data lake that allowed multiple employees to store structured and unstructured data quicker, saving time and costs.
💡The example above lists the candidate's duties and quantifies their achievements with figures, making it easier for the recruiter to see what the candidate can do.
INCORRECT
Lafont Engineering
Data Engineer
October 2016-June 2018
Build data systems and pipelines.
Analyzed and organized raw data.
Interpreted trends and patterns.
💡The example above is too vague and general and doesn't show the candidate's results in their workplace.
Boost Data Engineer Resume with Your Education
Your educational background is essential in this field so ensure that it is well-structured in your resume. Most data engineering jobs require a bachelor's degree in computer science or a related field. Having a Master's or a Ph.D. is even better and puts you ahead of the other candidates without this qualification.
When listing your educational qualifications, you'll add the name of the school, degree awarded and the year of completion. If you have a stellar GPA, you can also add it. Leaving out your high school diploma is allowed, especially if you have a Master's degree.
Correct example
CORRECT
Bachelor's Degree in Computer Engineering
University of Pennsylvania
December 2015
Strengthen Your Resume with Your Skills
Nothing says you are good at your data engineering job than your skills. These unique abilities allow you to perform your duties efficiently and effectively and play a significant role in getting you hired for the position. Data engineering is a pretty technical field, and most projects will require you to have specific skills.
While most employers prefer a candidate with technical skills, we cannot ignore the soft skills, which are also essential. This is why your resume should have the right blend of both. The job description may have some of the skills the employer wants, so you should always check it out. However, don't lie because the recruiter may ask you about the skills you have on your resume. Our resume examples also have some excellent tips to help you with the skills section.
Here is a list of skills you should add to your data engineer resume.
Hard skills
Data warehousing
Machine Learning
Java
Apache Spark
Python
Data science
Hadoop
Apache Kafka
Soft skills
Organization skills
Time management
Communication skills
Critical thinking
Decision-making
Interpersonal skills
Problem-solving
Teamwork
Introducing Your Professional Summary
Once you've written the header section, you'll introduce your resume using a resume summary. This section contains a short paragraph that summarizes your top achievements, experience and skills to get the hiring manager to read the rest of your resume. That means it should be catchy and engaging. Otherwise, they'll put it aside, and you'll miss out on an amazing opportunity.
CORRECT
Skilled data engineer with eight years of experience and deep knowledge of ETL tools. Exceptional proficiency in Scala, Python, and Java programming languages for modeling and statistical analysis. Proven ability to meet specific customer requirements by developing, optimizing, and reworking systems, increasing customer retention by 25%.
💡The example above gives a detailed summary of the candidate's expertise and skills and quantifies the results with a figure.
INCORRECT
Software Engineer with a thorough approach to crafting innovative business solutions with web technology. Driven to achieve the best results for customers.
💡The example above fails to summarize the candidate's best qualifications and achievements and vaguely mentions some of the duties at the workplace.
Professional Objective
A resume objective, also known as a professional objective, does the same job as a resume summary. However, instead of summarizing the candidate's experience, it highlights their career goals and allows them to show their excitement for the position. Candidates who are recent graduates or changing careers and don't have much experience or fancy achievements to get the recruiter's attention should use the resume objective.
CORRECT
Recent graduate with experience in Python and SQL programming languages. Expertise in testing, evaluating and solving issues related to the data management system. Specialist in ensuring compliance, performing inspections, and leading teams. Looking for a position at Luxen Consulting for career advancement.
💡The example above describes the candidate's experience and expresses their interest in joining the company.
Include Additional Sections on Your Data Engineer Resume
The right structure of a resume should have an additional section because it's a vital part of your resume. You can check out our resume templates which ensure that you don't miss a single section.
Think about any extra qualifications you don't want the recruiter to miss and add them here. Some of them are additional skills that you prefer to highlight in a separate section instead of the general skills section. Let's look at some of them.
Computing Skills & Certifications
Computer skills are major for data engineers and deserve their section in your resume. Knowledge of programming languages, Microsoft Office and database systems can be highlighted in this section to ensure the recruiter sees them easily.
Certifications go a long way for data engineers because they show that you have additional training. While it's okay to add them to the education section, it's much better to list them here. Here is a list of certifications that help your data engineer resume stand out.
Data Engineering with Google Cloud Professional Certificate
IBM Data Engineering Fundamentals
Data Processing and Analysis
Languages
Every employer loves a multilingual candidate, so you wouldn't want them to miss this qualification in your resume. It would be best if you used the official language reference when listing your languages as follows:
Goethe Zertifikat or TestDaF for German
SIELE for Spanish
DELF for French
IELTS or TOEFL for English
Tips & Tricks to Enhance Your Resume
Always research the keywords and action verbs that will optimize your resume.
Tailor each job title to match the job you're applying to, and avoid using the same title for two or more applications.
Match the company's tone and style when writing your resume.
Use a simple layout that's easy to read and understand.
Summarize your qualifications in one page because some recruiters will ignore your resume if it's longer than that.
Check your resume for grammatical errors and spelling mistakes before sending it to the hiring manager.
Summary: Key Points for Writing a Perfect Data Engineer Resume
The format of your resume should present your top qualifications first.
Check the information in your header to ensure it's accurate before sending your resume.
Start your resume with a captivating resume summary or objective.
Add your work experience and use facts and figures to quantify your achievements.
List all your educational qualifications in the education section.
An additional section is important because it allows you to highlight your extra qualifications.
Write a Cover Letter To Complement Your Resume
You need an exceptional resume to get the job you want, but the reality is that it can be a bit limiting. You don't get a chance to inject some personality or detail some of your achievements which is why you need a cover letter. Cover letters allow you to describe your top accomplishments as you showcase your writing skills. If you send your application without one, it will be incomplete unless the recruiter doesn't need it. Check out our cover letter examples.
Frequently Asked Questions
Which companies offer the best salaries for data engineers?
According to Glassdoor, these are the salaries offered by these top companies:
Cisco Systems $171,000
Meta $163,000
Amazon $124,000
Capital One $117,000
IBM $96,000
DXC Technology $86,000
Cognizant Technology Solutions $81,000
What is the difference between a data engineer and a data scientist?
Data engineers build and maintain data infrastructures while data scientists tackle the data and interpret it.
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