Degreed is the upskilling platform that connects learning to opportunities. We integrate everything people use to learn and build their careers—skill insights, LMSs, courses, videos, articles, and projects—and match everyone to growth opportunities that fit their unique skills, roles, and goals. Degreed exists to discover, empower and recognize the next generation of the world's expertise. 

The Data Engineer provides data scientists, analytics engineers, business analysts, as well as reporting and analysis tools, with timely, accurate, reliable data. Degreed amasses a high volume of structured and unstructured data in multiple production systems. In this role, you’ll take ownership of pipelining that data together into various repositories to enable reporting, data analysis, and data modeling. In addition, you’ll assist the Data Science team in accessing and making sense of data in its raw form.

You will be part of a distributed team across the U.S and reporting to the Data Engineering Manager.  The ideal candidate for this role will be based remotely in the UK, France, Germany, the Netherlands, Sweden or Switzerland. Candidates must be able to work in one of those countries. 

Day in the Life

  • Develop data pipelines to extract, load, and transform data using SQL, Python, Jinja
  • Design, deploy, and maintain services in our growing Azure-based data infrastructure
  • Partner with internal teams to research and develop requirements for new features
  • Research systems and APIs to find the best way to connect to third-party datasets
  • Design database schemas and queries to ensure performance
  • Write automated tests to monitor and ensure end to end data quality
  • Work with data scientists to experiment with and deploy machine learning models
  • Consult with teams across Degreed to provide expertise, guidance, and support using data

Who You Are

  • 3+ years experience writing performant, maintainable, and scalable Python services 
  • 4+ years of experience in Data Engineering including Data Modeling ,ETL/ELT, Data Lakes and  Data Warehousing on cloud platforms such as Azure, AWS, GCP, etc
  • 4+ years working with SQL such as Sql Server, Postgres, MySql 
  • 2+ years of experience deploying and maintaining CI/CD-enabled high-availability production services
  • 3+ years of experience with one or more data pipeline platforms like Airflow, Stitch, Spark or others
  • 2+ years of writing automated testing using tools like pytest
  • Practical experience with software development processes and tools such as Scrum, code reviews, GitHub, Jira, etc.

What Sets You Apart

  • Experience utilizing Dbt to actualize models
  • Exposure to Jinja coding
  • Experience using and developing on Snowflake
  • Practical hands on experience with creating Airflow DAG’s
  • Experience working in highly collaborative teams
  • Experience working remotely desired

Work Environment & Physical Demands

Degreed is a remote-first company, however our roles are open to in-office or flex work if you live in a city with a physical office location (when it is safe to return to the office). This role has the opportunity to operate 100% virtually from your home office. We primarily collaborate with our US and International colleagues through virtual meetings (Zoom), email, and Slack. In this role, you will be required to operate a laptop computer (PC or Mac available), computer software platforms, and other office productivity machinery as necessary.  Due to the nature of this role, you must be able to remain stationary for extended periods, and must be able to observe and interpret written and/or verbal communication. 

Additional Information 

Degreed provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. 
 
We are committed to the full inclusion of all qualified individuals. As part of this commitment, Degreed will provide reasonable accommodations to all qualified individuals with disabilities to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment. 
 
Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records.
 
Degreed uses the E-Verify employment verification program.  

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Degreed values diversity. To ensure that we comply with reporting requirements and to learn more about how we can increase diversity in our candidate pool, we invite you to voluntarily provide demographic information in the following confidential survey. Providing this information is optional. 

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