Data Engineer I

Fearless; Baltimore (MD); Remote; USD 79,000 - 124,000; Full time

Job summary

Join a forward-thinking company dedicated to building software with a soul. As a Data Engineer, you'll play a pivotal role in architecting and maintaining scalable data infrastructure, creating automated pipelines, and ensuring data quality. This exciting position offers the chance to work closely with Data Science Engineers and Business Analysts, driving data-driven decision-making and enhancing customer insights. If you have a passion for data and the skills to innovate, this is the perfect opportunity to make a meaningful impact in a collaborative environment.

Qualifications

• Experience with machine learning and deep learning tools is essential.
• Strong analytical skills and attention to detail are crucial.

Responsibilities

• Architect and maintain scalable tooling for data management.
• Collaborate with teams to enhance data models and ensure quality.

Skills

Analytical Skills

Problem-Solving Skills

Machine Learning

Deep Learning

Data Processing

Data Annotation

Quality Assurance

Effective Communication

Collaboration

Strategic Reasoning

Education

BS in Computer Science

BS in Data Analytics

BS in Data Science

BS in Information Systems

BS in Information Technology

BS in Mathematics

BS in Electrical Engineering

BS in Computer Engineering

Tools

Hadoop

Apache Spark

Python

R

SAS

Java

Job description

Salary

• AL, FL, GA, TN Residents: $73,826 (min) - $94,128 (mid) - $114,430 (max)
• NC Residents: $76,109 (min) - $97,039 (mid) - $117,969 (max)
• DE, MD, PA, TX, VA Residents: $79,914 (min) - $101,891 (mid) - $123,867 (max)
• DC Residents: $89,808 (min) - $114,506 (mid) - $139,203 (max)
• CA, NY, NJ Residents: $92,853 (min) - $118,387 (mid) - $143,922 (max)

Location

• Remote or in Baltimore, MD

Employment Type

Full-time

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

• 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.
• Collaborates with Data Science Engineers and Business 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 data analysis required to troubleshoot data related issues and assist in the resolution of data issues.
• Evaluates data and machine learning tools for efficacy.

Essential Skills, Experience, or Competencies

Must-Have Skills

• Ability to obtain a Public Trust.
• 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.

Highly Desired Skills and Experience

• BS in Computer Science, Data Analytics, Data Science, Information Systems, Information Technology, Mathematics, Electrical Engineering, Computer Engineering, or similar technology-related degree.