Agile Six is a people-first, remote-work company that serves shoulder-to-shoulder with federal agencies to find innovative, human-centered solutions. We build better by putting people first. We are animated by our core values of Purpose, Wholeness, Trust, Self-Management and Inclusion. We deliver our solutions in autonomous teams of self-managed professionals (no managers here!) who genuinely care about each other and the work. We know that’s our company’s purpose – and that we can only achieve it by supporting a culture where talented people feel valued, self-managed, and love to come to work.

The role

Agile Six is searching for a Data Engineer to join a team partnering with the Contention Classification Team at the Department of Veterans Affairs (VA). The successful candidate will bring their experience in data engineering to help us expand our biomedical classification service. As part of the team, you will primarily be responsible for data cleaning and data management tasks, building data pipelines, and data modeling (designing the schema/structure of datasets and relationships between data sets). In the future, you’ll likely have the opportunity to leverage your expertise in statistical and ML modeling to create a model that can be trained and scaled to classify contentions on more complex claims. We are looking for someone who enjoys working on solutions to highly complex problems and someone who is patient enough to deal with the complexities of navigating the Civic Tech space. The successful candidate for this role is an excellent communicator, as well as someone who is curious about where data analysis, backend development, data engineering, and data science intersect.

The project

This role is for the Contention Classification Team within the Automated Benefits Delivery Team at the Department of Veterans Affairs. Put simply, the better and more reliable our classification service works, the faster veterans can get the benefits they need. We are developing a service that classifies claims from veterans based on contentions (ailments) entered, to map to correct diagnostic codes and facilitate fewer errors in veteran claim processing.

Responsibilities

• Contribute as a member of a cross functional Agile team using your expertise in data engineering, critical thinking, and collaboration to solve problems related to the project
  • Experience with Python, command line, and git are must-have skillsets for this project
  • Working with Ruby/Ruby on Rails or within a Ruby environment is a nice-to-have skillset
• Extract, transform, and load data. Pull together data sets, build data pipelines, and turn semi-structured and unstructured data into data sets that can be used for machine learning models
• Eventually, help select, build, and train a highly complex machine learning model for classifying unstructured and semi-structured text
• We expect the responsibilities of this position to shift and grow organically over time, in response to considerations such as the unique strengths and interests of the selected candidate, other team members, and an evolving understanding of the delivery environment

Basic qualifications

• 2+ years of hands-on data engineering experience in a production environment
• Experience with Python, command line, and Git (Ruby/Ruby on Rails is a plus)
• Demonstrated experience with extract, transform, load (ETL) and data cleaning, data manipulation, and data management
• Demonstrated experience building and orchestrating automated data pipelines in Python
• Experience with data modeling: defining the schema/structure of data sets and the relationships between data sets
• Ability to create usable data sets from semi-structured and unstructured data
• Ability to prepare data for statistical modeling and an interest in building statistical and machine learning models (including NLP)
• Solution-oriented mindset and proactive approach to solving complex problems
• Ability to work independently on high complexity tasks
• Experience working on an Agile team and demonstrating an Agile mindset
• Have lived and worked in the United States for 3 out of the last 5 years

Additional desired qualifications

• Familiarity with various machine learning (ML) algorithms and their application to common ML problems (e.g. regression, classification, clustering)
• Experience with statistical modeling: building and training different types of statistical models, evaluating and selecting models for a given problem
• Experience with Ruby
• Statistical experience or degree
• Experience working with government agencies
• You are a U.S. Veteran

Salary and Sixer Benefits

To promote equal pay for equal work, we publish salary ranges for each position.

The salary for this position is $107,558-$113,074

Our benefits are designed to reinforce our core values of Wholeness, Self Management and Inclusion. The following benefits are available to all employees. We respect that only you know what balance means for your life and season. While we offer support from coaches, we expect you to own your wholeness, show up for work whole, and go home to your family the same. You will be seen, heard and valued. We expect you to offer the same for your colleagues, be kind (not controlling), be caring (not directive) and ready to participate in a state of flow. We mean it when we say “We build better by putting people first”.

All Sixers Enjoy:

• Self-managed work/life balance and flexibility
• Competitive and equitable salary (equal pay for equal work)
• Tenure-based profit sharing
• Employee Stock Ownership (ESOP) for all employees!
• 401K matching
• Medical, dental, and vision insurance
• Employer paid short and long term disability insurance
• Employer paid life insurance
• Self-managed and generous paid time off
• Paid federal holidays and Election day off
• Paid parental leave
• Self-managed professional development spending
• Self-managed wellness days

Hiring practices

Agile Six Applications, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, national origin, ancestry, sex, sexual orientation, gender identity or expression, religion, age, pregnancy, disability, work-related injury, covered veteran status, political ideology, marital status, or any other factor that the law protects from employment discrimination.

Note: We participate in E-Verify. Upon hire, we will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. This role is required to work from the contiguous United States. Unfortunately, we are unable to sponsor visas at this time.

Please read and respond to the application questions carefully. Interviews are conducted on a rolling basis until the position has been filled.