Data Engineer Jobs

About The Position

Requirements

• Ability to work independently and collaborate as part of a team
• Effective written and verbal communication skills
• Meticulous attention to detail and quality of work product
• Ability to build and sustain professional relationships
• Ability to lead projects or workstreams
• Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
• Strong interpersonal skills and professional demeanor
• Ability to meet deadlines
• Ability to provide clear guidance to others
• Bachelor’s degree
• Ability to obtain and maintain the required clearance for this role
• 5+ years of professional experience applying data science, statistics, or mathematics using Python, R, or another analytical or statistical programming language
• 4+ years of experience developing and training custom AI/ML models using supervised and unsupervised learning, including natural language processing (NLP) for unstructured data
• 2+ years of experience manipulating unstructured data from multiple platforms and using Tableau, Power BI, Qlik, or Elastic X-Pack for data visualization; experience using Structured Query Language (SQL) for database administration or SQL programming
• Ability to travel 10-15%, on average, based on the work you do and the clients and industries/sectors you serve
• Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future

Nice To Haves

• Experience with Amazon Web Services (AWS) big data and analytics services, including Amazon SageMaker, Amazon Athena, Amazon Aurora, Snowflake, and cloud-based data pipelines
• Experience applying Section 508 or Web Content Accessibility Guidelines (WCAG) standards to dashboards and data visualizations
• Experience using dbt, Apache Airflow, or Dagster for data transformation and pipeline orchestration
• Experience applying AI/ML methods in litigation-support or other legally sensitive environments
• Experience building data visualizations and presenting quantitative concepts to nontechnical audiences
• Experience independently reviewing statistical or machine-learning analyses, including assumptions, methodology, and interpretation

Responsibilities

• Integrate large-scale client data and conduct statistical analyses supporting investigative, litigation, and claims-management needs
• Design and implement artificial intelligence and machine learning (AI/ML) solutions, including supervised and unsupervised models, for anomaly detection, predictive analytics, and investigative insights across healthcare, financial, and mass tort data
• Manage large or unstructured data in Amazon Web Services (AWS) GovCloud using data lakes, serverless computing, AWS Lambda, and extract, transform, and load (ETL) practices
• Develop automated, reproducible, and auditable workflows for data collection, processing, statistical analysis, and reporting; identify automation opportunities that improve efficiency and accuracy
• Train client personnel on dashboards, analytical tools, and AI-assisted workflows; provide reference materials and ongoing support to promote responsible AI use
• Independently review statistical estimates and machine-learning evaluations performed by team members, including population selection, assumptions, calculation logic, and interpretation

Benefits

• Discretionary annual incentive program
• Professional development opportunities