• AL, FL, GA, TN Residents:  $90,015 (min) - $117,019 (mid) - $144,024 (max) 
• NC Residents: $92,799 (min) - $120,639 (mid) - $148,478 (max)
• DE, MD, PA, TX, VA Residents: $97,439 (min) - $126,671 (mid) - $155,902 (max)
• DC Residents: $109,503 (min) - $142.354 (mid) - $175,204 (max)
• CA & NY Residents:  $113,215 (min) - $147,179 (mid) - $181,143 (max)

Location:

• In-person, hybrid, and remote options are available. Our office is located in Baltimore.

What you’ll be doing:

We’re looking to change the world by building software with a soul, and we want your help.

The Data Engineer is responsible for architecting, building, and maintaining scalable tooling and infrastructure for managing data in a system. This includes building automated data pipelines, managing data storage, and creating systems to make data available to users.  The Data Engineer also supports the team by performing tasks like data analysis, interpretation, extraction, formatting, labeling, cleaning, transformation, reduction, discretization, annotation, loading and processing. 

We need your data engineering skills! What other skills will help you succeed at Fearless? Glad you asked! We’re excited about candidates who can accomplish the following:

Responsibilities and Contributions 

Organizational and Leadership Role 

• Leads by example, and coaches others directly.
• Takes initiative for their own growth through personal leadership

Functional Role 

• Designs and implements internal processes for automating data delivery and optimization.
• Builds and maintains secure tooling and infrastructure for scalable automated data pipelines and machine learning models that align with business needs.
• Assemble large, complex data sets that meet functional / non-functional business requirements.
• Collaborates with Data Scientists and Analysts to improve data models that solve problems and support data-driven decision making.
• Supports regular ad-hoc data and analysis needs to better understand customer behaviors. 
• Implements processes and systems to monitor data quality and volume, ensuring data is accurate and available.
• Performs analysis required to troubleshoot data related issues and assist in the resolution of data issues.
• Evaluates data ingestion, data analysis and machine learning tools for efficacy.
• Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
• Building analytical tools to utilize the data pipeline, providing actionable insight into key business performance metrics including operational efficiency and customer acquisition.

Essential Skills, Experience, or Competencies  

Must-Have Skills

• A minimum of 10 years of demonstrated directly related working experience.
• Demonstrated experience working with large digital delivery projects
• Demonstrated experience working with large APIs
• Ability to obtain required security clearance for this project: Public Trust
• Current or prior working experience in government contracting space
• Strong analytical and problem-solving skills with attention to detail.
• Experience with Machine Learning and Deep Learning Tools and Software.
• Experience in statistics, data processing, or data annotation.
• Understanding of quality assurance with respect to data and models.
• Proficiency with programming languages including Python, R, SAS, and/or Java.
• Experience working with at least one data analysis tool like Hadoop, Apache Spark, or cloud-provider equivalents.
• Effective written and oral communication skills to communicate insights extracted from the data.
• Ability to understand and respond to customer needs and collaborate as part of a cross-functional team.
• Ability to operate and manage work, strategically reason, and build relationships and influence others.

Preferred Skills 

• A minimum of 2 years working directly/closely with Azure infrastructure 
• A minimum of 2 years working directly/closely with Databricks, Postgres SQL, Power BI
• BS in Computer Science, Data Analytics, Data Science, Information Systems, Information Technology, Mathematics, Electrical Engineering, Computer Engineering, or similar technology-related degree.