Data Engineer Resume Example & Writing Guide
- What should your data engineer resume include?
- How can you create a professional summary?
- How should you describe your work experience as a data engineer?
- Include a fitting data engineer resume education and certifications section
- Which key skills are relevant for a data engineer resume?
- How to select the most impactful data engineer resume template
- Copyable data engineer resume example
- Key takeaways for writing a data engineer resume
Data engineers build systems that synthesize raw data into useful information for business analysts to interpret and make critical decisions centered around optimizing performance. Your resume should convey your ability to design and manage the architecture, infrastructure, and tools necessary for collecting, processing, and storing large volumes of data. We’ll show you what it takes to build a compelling resume that aligns with data engineering positions.
In this data engineer resume guide, we cover:
What should a data engineer resume include
Advice on each section of your resume (summary, work history, education)
Adding relevant key skills to your resume
Choosing the right resume template for a data engineer
What should your data engineer resume include?
Since data engineer jobs heavily involve creating systems and solutions that facilitate the efficient flow of data, it’s important your resume speaks to your skills in managing data integration solutions.
To compete in today’s highly competitive job market, your data engineer resume should clearly articulate your ability to work closely with data scientists, analysts, and other stakeholders to ensure data availability, accessibility, and reliability.
Structure your data engineer resume using the following categories:
The resume header with your contact information
The resume summary
The employment history section
The resume skills section
The education section
How can you create a professional summary?
Your resume summary establishes who you are as a professional and positions you as a well-qualified data engineer.A solid, professional summary for a data engineer opens with detailing industry expertise like database management, data warehousing, data science, and analysis. Next, describe any background experience you may have related to the data engineering field.
Directly following the summary, include a quick list of core competencies most relevant to the data engineer role. This makes it easy for hiring officials to identify the key skills they’re looking for.
Since data engineering is a highly technical role, you may also want to add a section to highlight technical proficiencies. Because data engineers typically implement data pipelines and data integration solutions, they may work with big data technologies and platforms to handle massive datasets. List any technology tools in which you are proficient in this section as well.
See our adaptable data engineer resume summary below.
Industry expert with a focus on database management, data warehousing, data science, and analysis. Background in data science for healthcare, utilities, and energy industries. Talent for leading advanced teams and complex software development projects. Skilled in communication and dedicated to continuous optimization throughout project lifecycle. Experienced in Agile methodology.
How should you describe your work experience as a data engineer?
Make a list of your past positions, spelling out dates, location, and company names. Place them in reverse chronological order as hiring officials prioritize your most recent roles.
Write a short paragraph detailing your daily duties and responsibilities. Directly following this, create a bulleted list of accomplishments to draw readers to important aspects of your contributions. Where possible, use numbers and metrics to quantify your accomplishments.
For example:
Spearheaded design of data model for entire payout platform, servicing 20+ million providers and supporting C2B and B2B payments.
Take a look at the adaptable data engineer resume employment history section below.
Senior Consultant / Data Architect at TeMix, Inc. 2018 - Present
Lead as the point of support and work within Transitive Energy Trading Platform and general client energy interface.
Oversee platform and interface design and architecture.
Develop unique optimization packages for small scale units; utilize various models.
Analyze model parameters with specialized algorithm. Manage load forecasting; leverage AWS matching learning and ML tools.
Designed Optimizer Engine and Agent layer with restful API.
Developed learning processes; increased accuracy of parameters used for optimization.
Led premier design, development, and implementation of AWS cloud environment and learning algorithm.
Data Architect at Change Healthcare. 2015 - 2018
Oversaw data modeling and database design for next-generation payment platform.
Developed optimized data warehouse and strategies to support platforms.
Collaborated with product, cloud engineer, InfoSec, and business teams.
Defined and organized business process flow for payment and disbursement.
Managed data, security, and data integration planning. Generated definitions for database standards, best practices, and procedures.
Mentored data engineering team. Supervised and led AWS environment architecture and infrastructure planning.
Optimized and defined ETL process; managed domestic and off-shore data engineer team.
Spearheaded design of data model for entire payout platform, servicing over 20M providers and supporting C2B and B2B payments.
Mastered open source tools; IDE, Gitlab, Jenkins, CloudFormation, Octopus, Confluence, and Jira.
Lead Software Engineer / Data Architect at Johnson Controls, Inc. 2010 - 2015
Managed design, development, and implementation of complex systems within diverse environments.
Applied hands-one and remote leadership. Developed optimized network pipelines and strategies.
Supervise Synchronized Reserve Market Program; utilized system and PJM dispatch network.
Oversaw remote control of customer backup generators and control systems.
Spearheaded design and development of second generation scheduling systems; included Economic Market and Synchronized Reserve Markets.
Coordinated system redesign, settlement functions, and reconciliation.
Designed and implemented Metering Management System able to handle real-time meter data processing and various market programs focused on demand response; included ETL process and VEE.
Led the design and full stage development of Scheduling and Settlement Systems.
Include a fitting data engineer resume education and certifications section
As you pursue roles in data engineering, you may have completed coursework to build your knowledge and expertise. Formal training is a great way to differentiate yourself from other candidates and add credibility. This section is your opportunity to highlight any formal education, technical certifications, or industry training. Include the name of the degree, course, certification, or training along with dates of completion.
Master of Science in Data Science at Northwestern University
Bachelor of Science in Process Control and Automation at Nanjing University of Technology
Data Science Specialization Training at John Hopkins University
Which key skills are relevant for a data engineer resume?
A data engineer’s primary goal is making data easily accessible and optimizing their organization's big data ecosystem. From programming languages like Python and Java to technology tools like Spark and Kafka, there are a multitude of skills necessary to make that happen.
When applying to a position, the corporation will likely utilize an ATS system to scan your resume for keywords that closely align with the job description. (For more information about the ATS, read our Resume ATS optimization article.)
Key skills relevant to a data engineer role may include:
Data design and modeling
Agile methodology
Infrastructure planning
Architecture
Data analysis
Database management
ETL (Extract, Transform, Load)
How to select the most impactful data engineer resume template
When building your data engineer resume, it’s imperative to ensure it’s organized and polished. A simple easy-to-read layout makes it easier for recruiters to read your resume and capture the essence of your career story. Providing an organized resume not only reflects your ability to structure information, but it also showcases your proficiency in presenting complex data engineering concepts with clarity and precision.
Our resume builder features several resume options with templates that fit your unique situation. Find inspiration with our 100+ resume examples.
Copyable data engineer resume example
Summary example
Industry expert with a focus on database management, data warehousing, data science, and analysis. Background in data science for healthcare, utilities, and energy industries. Talent for leading advanced teams and complex software development projects. Skilled in communication and dedicated to continuous optimization throughout project lifecycle. Experienced in Agile methodology.
Employment history example
Senior Consultant / Data Architect at TeMix, Inc. 2018 - Present
Lead as the point of support and work within Transitive Energy Trading Platform and general client energy interface.
Oversee platform and interface design and architecture.
Develop unique optimization packages for small scale units; utilize various models.
Analyze model parameters with specialized algorithm. Manage load forecasting; leverage AWS matching learning and ML tools.
Designed Optimizer Engine and Agent layer with restful API.
Developed learning processes; increased accuracy of parameters used for optimization.
Led premier design, development, and implementation of AWS cloud environment and learning algorithm.
Data Architect at Change Healthcare. 2015 - 2018
Oversaw data modeling and database design for next-generation payment platform.
Developed optimized data warehouse and strategies to support platforms.
Collaborated with product, cloud engineer, InfoSec, and business teams.
Defined and organized business process flow for payment and disbursement.
Managed data, security, and data integration planning. Generated definitions for database standards, best practices, and procedures.
Mentored data engineering team. Supervised and led AWS environment architecture and infrastructure planning.
Optimized and defined ETL process; managed domestic and off-shore data engineer team.
Spearheaded design of data model for entire payout platform, servicing over 20M providers and supporting C2B and B2B payments.
Mastered open source tools; IDE, Gitlab, Jenkins, CloudFormation, Octopus, Confluence, and Jira.
Lead Software Engineer / Data Architect at Johnson Controls, Inc. 2010 - 2015
Managed design, development, and implementation of complex systems within diverse environments.
Applied hands-one and remote leadership. Developed optimized network pipelines and strategies.
Supervise Synchronized Reserve Market Program; utilized system and PJM dispatch network.
Oversaw remote control of customer backup generators and control systems.
Spearheaded design and development of second generation scheduling systems; included Economic Market and Synchronized Reserve Markets.
Coordinated system redesign, settlement functions, and reconciliation.
Designed and implemented Metering Management System able to handle real-time meter data processing and various market programs focused on demand response; included ETL process and VEE.
Led the design and full stage development of Scheduling and Settlement Systems.
Education example
Master of Science in Data Science at Northwestern University
Bachelor of Science in Process Control and Automation at Nanjing University of Technology
Data Science Specialization Training at John Hopkins University
Skills example
Java
SQL
Python
Microsoft Certified Systems Engineer (MCSE)
Cisco Certified Network Associate (CCNA)
Data Design & Modeling
Agile Methodology
Infrastructure Planning
Data Warehouse
Architecture
Key takeaways for writing a data engineer resume
Structure your data engineer resume by incorporating distinct sections such as a header, summary, experience, skills, and education.
Lay out your previous roles in reverse chronological order, offering concise descriptions of each position, accompanied by notable achievements supported by measurable metrics when feasible.
Emphasize pertinent educational credentials, certifications, or specialized training to underscore your competence as a data engineer.
Customize your skills to match data engineering, integrating key phrases from job descriptions seamlessly throughout your resume.
