Phoenix, AZ
1,001-5,000 employees
EXOS is a human performance company headquartered in Phoenix with sites worldwide. We help people perform at a high level day after day.

Prior Listings

Jr. Data Engineer

Jr. Data Engineer

This job has closed but is shown for context on data science work at EXOS.

EXOS is a leader in the field of human performance, a category it created more than 20 years ago. Today, EXOS employs more than 4,500 people in over 600 locations worldwide. With award-winning facilities, sports medicine clinics, technology, and services, EXOS connects people to the solutions they need and provides comprehensive game plans, regardless of skill and sport, based on time-tested fundamentals and research in order to help people take control of their health and performance.  At EXOS, we have a passion for performance through continuous self improvement. This persona is inspired by helping others in all of our EXOS Communities improve their personal performance. Our dedication to promoting diversity, multiculturalism, and inclusion is more than a commitment at EXOS - it’s the foundation of every great performance team. We are fully focused on equality and believe deeply in diversity of race, gender, sexual orientation, religion, ethnicity, national origin and all the other fascinating characteristics that make us different.  EXOS is trusted by hundreds of clients including leaders in business, health care, community organizations, and world champions in sports.

Job Description:


  • Build large-scale batch and real-time data pipelines with data processing frameworks like Spark and AWS managed services.

  • Use best practices in continuous integration and delivery.

  • Help drive optimization, testing and tooling to improve data quality and our ability to use data to make product decisions.

  • Collaborate with other software engineers, ML engineers and stakeholders, taking learning and leadership opportunities that will arise every single day.

  • Collaborate with the analytics team to support their BI tools and initiatives to deliver the reliability, speed, and scalability of a data platform they’ll love working with.

  • Work in multi-functional agile teams to continuously experiment, iterate and deliver on new product and infrastructure objectives.

  • Optimize the existing data warehouse which will create a single version of the truth and standardize data into coherent formats so that it can be queried by users by leveraging query languages, as well as generating API calls to gather third-party vendor data.

  • Create and maintain pertinent datasets aligned to business needs, including gathering client report requirements to execute to highest possible standards.

  • Ensure data structures, reports and any other data-related item meets standards and guidelines outlined by EXOS Data Governance.

  • Find trends in data sets and develop algorithms to help make raw data more useful to the enterprise.

  • Identify, design and implement internal process improvements, including automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.

  • Collaborate with data analysts to understand data requirements necessary for building new data pipelines, and optimize existing data streams, so that analysts can seamlessly connect to data through Tableau and/or Google Data Studio, among other tools.

  • Work within multidisciplinary teams to identify client needs, define critical success indicators, identify and maintain data flows that fuel operations, and supply data.

  • Keep abreast of new data storage, delivery, analysis, visualization, reporting techniques and software to develop more powerful data infrastructure.

  • Be a trusted technical advisor to customers and solve complex data challenges.

  • Inspire and lead others with your work ethic, business results, intrapersonal skills and willingness to see success based on team accomplishments vs. your individual achievements.


  • Know how to work with high volume heterogeneous data, preferably with distributed systems on the AWS platform.

  • Know how to write distributed, high-volume services in Go, Java, Scala, or Python leveraging AWS managed services.

  • Knowledgeable about data modeling, data access, and data storage techniques.

  • Appreciate agile software processes, data-driven development, reliability, and responsible experimentation. 

  • Want to own the software you write in production.

  • Understand the value of partnership within and across teams.

  • Care a lot about fostering a diverse culture that includes everyone and supports them being their authentic self. We strongly believe that diversity of experience, perspectives, and background will lead to a better environment for our employees and a better product for our customers.

  • Experience building the infrastructure required for optimal ETL of data from a wide variety of data sources.

  • A successful history of manipulating, processing and extracting value from large disconnected datasets.

  • Superior understanding of database query languages and substantial knowledge in analytical approaches.

  • Expertise with data mining and visualization techniques, ability to apply context to data, and strong ability to communicate the data (verbal and written).


  • Bachelor’s degree in a technology-related field (data science, computer science, software engineering, etc.), with 5+ years’ data engineering experience.

  • Experience with data processing software and algorithms.

  • Experience in writing software in one or more languages: Java, Python, Go. Experience in SQL.

  • Experience managing client-facing projects, troubleshooting technical issues, working with cross-functional stakeholders.

  • Experience in working with/on data warehouses, including data warehouse technical architectures, infrastructure components, ETL/ ELT and reporting/analytic tools and environments, data structures.

  • Excellent verbal and written communication skills.


  • Hands-on experience in big data, information retrieval, data mining or machine learning.

  • Experience architecting, developing software, or internet scale data solutions in virtualized environments.

  • Reflective, independent and eager learner (e.g., learns from mistakes, asks good questions, able to generate creative solutions to problems with minimal guidance).

  • Detail-oriented with an ability to effectively multi-task in a deadline-driven atmosphere.

  • High levels of integrity, autonomy, self-motivation and ability to work well in a team.

  • Experience in health, fitness, wellness, etc.

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

We are an equal opportunity employer

EXOS is proud to be an affirmative action / equal opportunity employer. All qualified applicants will receive consideration without regard to race, creed, gender, marital status, sexual orientation, citizenship status, color, religion, national origin, age, disability, veteran status, or any other status protected under local, state, or federal laws. EXOS provides reasonable accommodation to employees and applicants for employment who have disabilities. You may request reasonable accommodation, in writing, by reaching out to our People Operations department at: 

Attention: People Operations, Accommodations

2629 E. Rose Garden Ln. 

Phoenix, AZ 85050

Learn more here:

  • EEO is the Law
  • EEO is the Law Supplement
This job has closed but is shown for context on data science work at EXOS.
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