Data Engineer III (Ruby)

$12,000 - $12,000/Yr

Fearless Solutions - Baltimore, MD

Part-time - Senior

Baltimore, MD

Professional, Scientific, and Technical Services

About the position

Fearless Digital is seeking a Data Engineer III to join our team in Baltimore, MD. As part of our mission to build software with a soul, the Data Engineer will play a crucial role in architecting, building, and maintaining scalable tooling and infrastructure for managing data within our systems. This position involves creating automated data pipelines, managing data storage, and developing systems that make data accessible to users. The Data Engineer will also engage in data analysis, interpretation, extraction, formatting, labeling, cleaning, transformation, reduction, discretization, annotation, loading, and processing to support our team and clients effectively. In this role, you will be expected to coach teams on data-driven decision-making and advocate for best practices in data management. You will take the initiative for your own growth and personal leadership while designing and implementing internal processes that automate data delivery and optimize performance. Your responsibilities will include building and maintaining secure tooling and infrastructure for scalable automated data pipelines and machine learning models that align with business needs. You will collaborate with Data Scientists and Business Analysts to enhance data models that address business challenges and support data-driven decision-making. The Data Engineer will also be responsible for monitoring data quality and volume, ensuring data accuracy and availability, and troubleshooting data-related issues. You will evaluate existing data systems to improve data quality and governance, and work closely with various stakeholders, including executive teams, to support their data infrastructure needs. This position requires a strong analytical mindset, problem-solving skills, and the ability to communicate insights effectively to both technical and non-technical audiences.

Responsibilities

• Coach teams on how to properly make decisions with data.
• Be an advocate for best practices and continued learning.
• Takes initiative for their own growth through personal leadership.
• 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 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 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.
• Works closely with all business units and engineering teams to develop strategy for long term data platform architecture.
• Evaluates existing data systems to improve data quality and governance.

Requirements

• 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.
• Demonstrated experience and high proficiency with AWS (Redshift is highly desired).
• Demonstrated experience and expertise with Cloudwatch.
• 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.

Nice-to-haves

• A minimum of 2 years working directly/closely with Azure infrastructure.
• Demonstrated experience working directly with Azure.
• 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.

Benefits

• Life-friendly schedules
• Family-friendly workplace
• 100% coverage of medical HSA plan premiums and deductible contributions
• 80% coverage of HMO or PPO plan premiums
• 100% coverage of dental and vision premiums for employees and dependents
• Medical and dependent care FSA options
• Life insurance
• Short- and long-term disability coverage
• Legal planning and support insurance
• Safe Harbor 401(k) plan with employer contributions (current match = 4%) and immediate vesting
• Referral bonus of $6-12k for successful hires
• Total Pet Plan
• Employee Assistance Program
• Up to 12 weeks of FMLA paid at 100%
• PTO provided as a lump sum allowance, prorated based on start date, with additional sick leave, federal holidays, birthday leave, jury duty leave, and bereavement leave.