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CareFirst BlueCross BlueShield · 5 hours ago

Senior Data Engineer (Remote)

United States

Full-time

Remote

Senior Level

$96K/yr - $191K/yr

5+ years exp

CareFirst BlueCross BlueShield is seeking a Senior Data Engineer to maintain the seamless operation of data pipelines, databases, and analytics platforms in live environments. The role involves monitoring and troubleshooting data workflows, resolving incidents, and proactively addressing performance bottlenecks to ensure data availability for end users and business stakeholders.

Health CareNon ProfitService Industry

No H1B

Responsibilities

Incident Management: Quickly diagnose and resolve data-related issues in production, minimizing impact on business operations

Monitoring & Alerting: Implement and maintain monitoring solutions to detect anomalies, failures, or performance degradation in data systems

Root Cause Analysis: Investigate recurring problems, identify their root causes, and implement long-term solutions to prevent future incidents

Performance Optimization: Analyze data workflows and infrastructure for inefficiencies, tuning systems for optimal performance and scalability

Collaboration: Work closely with data engineers, analysts, software developers, and IT teams to ensure seamless integration and deployment of data solutions

Documentation & Best Practices: Maintain clear documentation of production environments, issue resolutions, and standard operating procedures

Change Management: Participate in the planning and execution of changes to data systems, including upgrades, patches, and configuration updates, while minimizing disruption to ongoing operations

Security & Compliance: Ensure data systems adhere to organizational security policies and regulatory requirements, identifying and mitigating potential vulnerabilities

Capacity Planning: Forecast future data storage and processing needs, recommending infrastructure enhancements to support growth and evolving business requirements

User Support: Provide technical assistance to end users and business teams, addressing queries and enabling effective utilization of data resources

Automation: Develop and maintain scripts and tools to automate repetitive support tasks, streamlining processes and reducing manual intervention

Qualification

Informatica IICSSQLMicrosoft AzureData Engineering FundamentalsKafkaMDM SaaSPower BIControl-MScripting LanguagesVersion Control Tools

Required

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

5 years Experience with database design and developing modeling tools

Experience developing and updating ETL/ELT scripts. Hands-on experience with application development, relational database layout, development, data modeling

Experience with Informatica IICS: Practical knowledge in using Informatica Intelligent Cloud Services (IICS) for building, managing, and optimizing cloud-based data integration workflows

Knowledge of Kafka: Familiarity with Apache Kafka architecture and able to trouble shoot issues in a timely manner

MDM SaaS Experience: Understanding and hands-on experience with Master Data Management (MDM) Software as a Service solution for ensuring data consistency, quality, and governance across enterprise systems

Proficiency in GitHub: Demonstrated expertise in utilizing GitHub for version control, code collaboration, and managing development workflows within data engineering projects

Extensive Experience with SQL: Advanced proficiency in writing complex queries, optimizing performance, and managing large datasets in Snowflake, Oracle, and SQL Server Databases

Expertise in Microsoft Azure: Hands-on experience with Azure Data Factory, Azure Databricks, Azure Synapse Analytics, Azure Blob Storage, Fabrics, and other relevant Azure cloud services

Power BI Experience: Hands-on experience in developing, deploying, and maintaining data visualizations and dashboards using Power BI, including advanced DAX queries, and integrating with diverse data sources for actionable insights

Control-M Knowledge: Familiarity with Control-M workload automation, including designing, scheduling, and monitoring data pipeline jobs to ensure reliable and efficient batch processing within enterprise environments

Proficiency in Scripting Languages: Demonstrated ability to automate data workflows using Python, PowerShell, or similar scripting languages

Experience with Version Control Tools: Strong understanding and practical use of Git, GitHub, Azure DevOps for collaborative development and CI/CD pipelines

Strong Data Engineering Fundamentals: Solid understanding of ETL/ELT processes, data warehousing concepts, and best practices in data architecture and governance

Willingness and ability to adapt to varying work schedules, including evenings and weekends, to meet project deadlines and production support requirements