Senior Data Engineer

Job not on LinkedIn

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🌪️ Kansas, Missouri – Remote

🌪️ Kansas – Remote 🏰 Missouri – Remote

💵 $107k - $123k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

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National Association of Insurance Commissioners (NAIC)

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 1871

🛡️ Insurance

🏛️ Government

🤝 Non-profit

Insurance • Government • Non-profit

National Association of Insurance Commissioners (NAIC) is a U. S. -based standard-setting and support organization for state insurance regulators. It provides expertise, data, model laws, regulatory guidance, technology platforms (e. g. , myNAIC), research, and education to help state insurance commissioners regulate insurers, protect consumers, and promote consistent administration of insurance law. NAIC publishes model laws and guidance, manages filing and data systems, coordinates committee work on topics such as financial regulation, market conduct, cybersecurity, and AI/ML, and offers consumer resources and complaint tools.

📋 Description

• Design, develop, and maintain scalable enterprise data solutions, including data architecture, models, pipelines, structures, and supporting processes within the Enterprise Data Platform (EDP) • Analyze complex data sources and business requirements with stakeholders to deliver secure, reliable, and efficient data solutions • Develop, optimize, and support data pipelines that ingest, transform, integrate, and deliver trusted data aligned with business needs • Implement data quality, governance, and operational processes to ensure enterprise data assets are accurate, consistent, secure, and well-managed • Provide technical guidance, troubleshooting, and escalation support for teams using or impacting data within the EDP • Perform root cause analysis and sustainable issue resolution • Review and modernize data models, pipelines, and legacy processes to improve scalability, reliability, automation, maintainability, and alignment with enterprise architecture standards • Evaluate emerging technologies, enhance engineering practices, and identify opportunities to expand enterprise data capabilities • Lead complex data engineering efforts, establish and promote engineering standards, mentor team members, and contribute to continuous improvement across the EDP • Partner with data architects, data engineers, data stewards, business owners, project managers, stakeholders, ITG, and business units

🎯 Requirements

• Bachelor’s degree in computer science, data analytics, data science, mathematics, statistics, information systems, or another related analytical or technical field and 5 or more years of related data engineering experience; or an equivalent combination of education and work experience • Residency within 100 miles of the Kansas City, Missouri office is required • Applicants must be authorized to work for any employer in the U.S. • Experience designing, developing, and supporting enterprise data platforms, including data ingestion, transformation, modeling, integration, quality, and operational support • Advanced experience with SQL, relational databases, ETL/ELT development, data modeling, and cloud-based data technologies • Experience leading complex technical efforts, making data architecture or design recommendations, and mentoring other technical team members • Experience with the software development life cycle, Agile delivery practices, and SAFe values and methods • Microsoft Office Suite/365 • Amazon Web Services (AWS) • Data pipeline orchestration and automation • Extract, Transform and Load (ETL/ELT) • CI/CD and DevOps practices • Git or source control platforms • Infrastructure as Code concepts, such as Terraform • RDBMS (Oracle, PostgreSQL) • NoSQL (MongoDB / DynamoDB) • Snowflake • Python • Structured Query Language (SQL) • MacOS • Data File Formats (JSON, Parquet, XML (likely XBRL in near future)) • Data modeling and dimensional modeling • Data warehouse and data Lakehouse concepts • Secrets management concepts, such as Vault or similar tools • Cloud security and IAM concepts • Data governance, lineage, metadata, and cataloging concepts • Performance tuning and query optimization • Data quality testing and data observability • Must not require employment visa sponsorship

🏖️ Benefits

• Full-time remote position • Positive and flexible environment • No overnight business travel required • Equal Opportunity Employer