[Remote] Lead Data Engineer (Remote)

Note: The job is a remote job and is open to candidates in USA. CareFirst BlueCross BlueShield is seeking a Lead Data Engineer to provide technical leadership for its Shared Services, Pharmacy, SIU, and Core Functions data portfolios. The role is responsible for designing scalable and secure data solutions, modernizing the data ecosystem, developing data products and pipelines, establishing engineering standards, and mentoring technical staff.

Responsibilities

• Lead the team to design, configure, implement, monitor, and manage all aspects of Data Integration Framework. Defines and develop the Data Integration best practices for the data management environment of optimal performance and reliability
• Develops and maintains infrastructure systems (e.g., data warehouses, data lakes) including data access APIs. Prepares and manipulates data using Hadoop or equivalent MapReduce platform
• Provides detailed guidance and performs work related to Modeling Data Warehouse solutions in the cloud OR on-premise. Understands Dimensional Modeling, De-normalized Data Structures, OLAP, and Data Warehousing concepts
• Oversees the delivery of engineering data initiatives and projects. Supports long term data initiatives as well as Ad-Hoc analysis and ELT/ETL activities. Creates data collection frameworks for structured and unstructured data. Applies data extraction, transformation and loading techniques in order to connect large data sets from a variety of sources
• Enforces the implementation of best practices for data auditing, scalability, reliability and application performance. Develop and apply data extraction, transformation and loading techniques in order to connect large data sets from a variety of sources
• Interprets data, analyzes results using statistical techniques, and provides ongoing reports. Executes quantitative analyses that translate data into actionable insights. Provides analytical and data-driven decision-making support for key projects. Designs, manages, and conducts quality control procedures for data sets using data from multiple systems
• Improves data delivery engineering job knowledge by attending educational workshops; reviewing professional publications; establishing personal networks; benchmarking state-of-the-art practices; participating in professional societies

Skills

• Bachelor's Degree in Computer Science, Information Technology or Engineering or related field OR in lieu of a Bachelor's degree, an additional 4 years of relevant work experience is required in addition to the required work experience
• 8 years Experience in leading data engineering and cross functional team to implement scalable and fine-tuned ETL/ELT solutions for optimal performance
• Experience developing and updating ETL/ELT scripts
• Hands-on experience with application development, relational database layout, development, data modeling
• Ability to lead the technical design, development, and implementation of complex enterprise data solutions across Shared Services, Employee Experience (EE), and Employee Platform (EP) domains
• Knowledge of modern data engineering architectures, including cloud-native platforms, data lakehouse patterns, data products, and domain-oriented data ownership
• Ability to architect and develop scalable ETL/ELT pipelines, data integration services, and enterprise data products supporting operational and analytical workloads
• Knowledge of cloud data platforms and engineering technologies including Snowflake,  Azure Data Services, event-driven architectures, and modern orchestration tooling
• Ability to establish engineering standards, development frameworks, CI/CD practices, and DataOps processes that improve delivery speed, reliability, and maintainability
• Knowledge of enterprise data governance concepts including metadata management, lineage, data quality controls, data cataloging, and regulatory compliance requirements
• Ability to optimize data solutions for performance, scalability, resiliency, observability, and cost efficiency across large-scale enterprise environments
• Knowledge of API integration patterns, data exchange protocols, service-oriented architectures, and enterprise integration technologies
• Ability to lead technical solutioning efforts across Finance, Human Resources, Legal, Audit, Compliance, Pharmacy, and other Shared Services domains
• Proficient in SQL, Python, data modeling, automation frameworks, and software engineering best practices for data platform development
• Ability to serve as the primary technical counterpart to Data Product Managers, translating business objectives into sustainable engineering solutions and delivery roadmaps
• Knowledge of platform modernization strategies, reusable data products, self-service data enablement, and enterprise analytics capabilities
• Ability to mentor and coach engineers through architecture reviews, code reviews, technical design discussions, and engineering best practices
• Knowledge of data quality monitoring, balancing controls, auditing frameworks, and automated operational support processes
• Skill in communicating complex technical concepts to business, product, and executive stakeholders through presentations, architecture artifacts, and written communications
• Knowledge of healthcare payer data domains and associated regulatory, privacy, and security considerations
• Must be eligible to work in the U.S. without Sponsorship

Benefits

• A comprehensive benefits package, subject to eligibility requirements
• Various incentive programs/plans, subject to eligibility requirements
• 401k contribution programs/plans, subject to eligibility requirements

Company Overview