Data Engineer Resume Examples, Skills, and Keywords

Data engineer resumes need to highlight many technical skills. Jobscan can help you find the best keywords to get your resume past applicant tracking systems and into recruiters' hands.

Optimize Your Resume Build a New Resume
  • Jobscan has helped land interviews with

  • logo-deptofenergy@2x.png
  • logo-ibm@2x.png
  • logo-northsidehospital@2x.png
  • logo_delta.png
  • logo-ge@2x.png
  • logo-bbt@2x.png

Data Engineer Resume Sample

Data engineers are responsible for extracting data and making it usable for others to analyze. It is a behind-the-scenes tech job that helps companies get the information they need to make informed decisions and develop product innovations. Data engineers can work in almost any industry, from health care to manufacturing to online streaming platforms.

‌Data engineering is an in-demand job, but having a strong resume is still essential. Most companies, especially technology companies, use an applicant tracking system (ATS) that ranks candidates by how well they fit the job description. This makes purposefully choosing every word on your resume of vital importance to make sure your resume gets in front of a recruiter.

Data engineer resumes should look sleek and modern while emphasizing technical skills. Check out the data engineer resume example below.

Remember that a data engineer resume sample should always be used as inspiration, not as a verbatim template. Your unique skills and experiences may make a different resume format work better for you.


Seattle, WA 98101 • (555) 555-1234 • •


Detail-oriented data engineer with broad-ranging experience improving business and operational processes by leveraging data. Disciplined and versatile, with a gift for analyzing data processes and developing useful metrics and benchmarks for tracking.


Microsoft Office (Advanced MS Excel, VBA Scripting) | SharePoint (Web Part Development) | Tableau | JIRA | MIRO | Alteryx | Qlik | Clarity | Planview | Remedy | Computer Science | Data Quality Analysis, Preparation, and Modeling | Project Management | Business Metrics and Dashboards | Change and Incident Management | Business Intelligence and Analytics | Portfolio and Resource Management | Executive Management Presentations | Certified SAFe Agilist (SA) / Practitioner (SP) | Process Improvement | Scrum Master

Cardinal Health, Dublin, OH • Manager, Decision Support Measures and Metrics
(08/2017) - Present

Facilitate development of key dashboards by gathering requirements, performing inventory and data quality analysis, identifying and recommending options for improving existing reporting solutions, and developing business requirement materials, including data visualization (wireframes).

  • Serve as Scrum Master for the Agile Transformation team. Lead daily stand-ups and scrum ceremonies, work closely with Product Owners to develop and maintain project backlogs, and remove problems and team impediments to ensure that the highest business value user stories are delivered to the customers.
  • Track and report on real-time performance metrics in JIRA such as velocity, burn up/down charts, and sprint reports to allow teams to closely monitor productivity over time and provide insight and transparency to the progress of features/stories across the Agile Release Train (ART).
  • Support strategic direction by identifying success factors and measurements of continuous improvement and changes in culture through conducting surveys that provide insight to teams’ and customers’ overall satisfaction, includes Net Promoter Score (NPS) survey question.
  • Develop new Tableau and Excel dashboards that provide greater visibility into critical areas such as Cybersecurity, Business Impacting Events, and Project and Portfolio Management.
Cardinal Health, Dublin, OH • Business Systems Analyst 3
(06/2009 – 08/2017)

Led offshore technical team that provided technical support related to dashboard development using Qlik, including setting up data sources using data modeling tools such as Alteryx, writing complex SQL queries, stored procedures, database tuning, query optimization, and resolving key performance issues.

  • Collaborated with technical groups in leveraging existing tools to support reporting needs, managed and acted as point of contact for offshore dashboard developers, worked with system subject matter expert in creating datasets to be used as sources for data visualization tools, performed dashboard and data quality assurance before stakeholder acceptance review, participated in the implementation/rollout, and provided post-production support of data reporting solution.
  • Facilitated design, strategy/planning, and execution of the migration of existing dashboards from Qlik to Tableau with no impact to business operations. Conducted comparison analysis of features and functionalities between the two systems to determine the best path forward.
  • Researched, developed, and provided directional rate analysis of identified suppliers against Gartner labor rates for Developers, Project Management, and Program Management.
  • Functioned as the subject matter expert during the requirements definition effort in the implementation of Clarity.
Cardinal Health, Dublin, OH • Project Manager (Systems) 1
(08/2003 – 06/2009)

Worked in partnership with business leaders in determining enterprise requirements and executive stakeholder needs for the design, development, implementation, and operation of an enterprise-wide IT Portfolio / Program Management system and strategic technology Centers of Excellence.

  • Assisted with the design to simplify method for consolidating inventory of projects within Planview and integration of time records to update work plans with actual effort and progress to-date.
  • Functioned as liaison between Business Partners and Corporate IT leaders for IT portfolio collection and data analysis by engaging project leads from all business units to assist with providing an inventory of all IT spend.
  • Defined, developed, and generated management data reporting on portfolio investments and Centers of Excellence by developing and providing executive management presentations, which included detailed analyses from project inventory data.
  • Developed and implemented dashboard financial charts for service offerings.
  • Assumed accountability for the Business Request (BR) receipt to the routing process, successfully maintaining and improving metric turnaround commitments by routing BRs within 0.8 days vs. previous target of 1.0. Successfully managed and processed 23% increase in BR inflow.
Cardinal Health, Dublin, OH • Technical Writer 1
(03/1998 – 08/2003)

Responsible for planning, developing, organizing, writing and editing operational, software, maintenance, test procedures and manuals.

  • Developed and published operational procedures used for standard business practice.
  • Created Operational Run Book used throughout the McKesson Technical Services organization.
  • Designed and built Microsoft Access databases used for hardware and software asset tracking.
  • Calculated system availability on a weekly and monthly basis.
Education and Certifications
University of California, Berkeley, Berkeley, CA • Bachelor of Arts in Computer Science

Agile Software Development – Certified SAFe Agilist (SA)

Agile Software Development – Certified SAFe Practitioner (SP)

SharePoint 2010 Administrator – Training and Certification 3

Tableau Software – Training on Business Intelligence and Analytics


Resume written by Lezlie Garr

download Download

Data Engineer Resume Skills and Keywords

Data engineers perform a crucial role in producing the research needed to advance new technologies. Because of this, specific resume skills and certifications are important to recruiters for this role — so make sure those skills stand out. Use data engineer resume keywords that correspond to the ones listed in the job description so that the ATS and recruiters can know that you meet the requirements.

Top Data Engineer Resume Skills

  • Agile
  • Apache Hadoop
  • Apache Kafka
  • AWS (Amazon Web Services)
  • Azure
  • Cloud data
  • Code review
  • Collaboration
  • Communication
  • Computer science
  • Data interpretation
  • Data modeling
  • Database administration
  • ETL development
  • Google Analytics
  • Informatica
  • Java
  • Jira
  • Microsoft Office
  • Presenting
  • Problem-solving
  • Process mindset
  • Project management
  • Python
  • QuickSight
  • Scala
  • Scrum
  • SQL
  • Teamwork
  • TensorFlow‌

Does your resume pass the test?

Tailor your resume and optimize for applicant tracking systems with Jobscan.

Try Your Own

5 Resume Writing Tips for Data Engineers

The following tips will help you get your resume past the ATS and into the hands of a recruiter.

Tip #1: Highlight your people skills

‌When creating a resume, it can be natural to highlight your data engineer skills front and center. However, showing how you can work within teams may be just as important. Data engineers need to work hand in hand with data scientists to ensure that data is easily interpreted and put to use. Bring up any presentations you have led, as these demonstrate that you are comfortable sharing and explaining data to others.

‌In your resume, make sure to emphasize times that you worked with others to achieve a larger goal. ‌

Tip #2: Display a genuine enthusiasm for technology and programming

It’s no secret that data engineers need to master many technologies in order to succeed. Recruiters want to know that you like — or even love — this part of the job. If you’re changing companies, you may need to learn a new stack of programs, frameworks, and coding languages, so show that you’re up to the task.

Tip #3: Talk about challenges you solved

In the technology industry, companies are often looking for candidates who can solve large-scale problems. Because data engineers are at the forefront of research, they often need to problem-solve in order to extract meaningful data.

Showcase big-picture projects that may have taken months or years to complete, and recount how you solved the toughest challenges.

Tip #4: Get specific about data

Where possible, get into specifics about your data collections. What tools and techniques did you use to extract data? How did you share your data with your colleagues? How have data scientists or others used your data?

Showing how your data was used in the real world can make your usefulness to a company clear, and it can also help non-technical recruiters connect with your work.

Tip #5: Make your technical skills easy to find at a glance

Because technical proficiency is such an important part of the role of data engineer, it’s one of the first things that hiring managers and ATS will look for. Make your skills easy for them to find by putting them near the top of your resume.

Depending on how you format your resume, it may be possible to set off your skills and certifications in bulleted lists or in a side column. If you know several coding languages and are proficient with many programs, show this off!

Optimize your resume