Key skills
SQLCloud platformsRelational/NoSQL databasesScripting (Python)Database design principlesDataOps toolsCI/CD pipelinesStreaming data technologiesData Visualization ToolsData security best practicesPythonNoSQLBashPowerShellBITableauPower BISnowflakeSparkKafkaAWSAzureGitHub ActionsRDSAzure SQLPostgreSQLMySQLSQL ServerGitHubCI/CD
About this role
Life Line Screening is seeking a highly skilled and proactive Modern Database Engineer to join their data team. This role focuses on designing, implementing, and optimizing scalable, secure, cloud-based database systems while managing the full lifecycle of data platforms and ensuring high availability and peak performance.
Responsibilities:
- Design, build, and maintain robust relational (e.g., PostgreSQL, MySQL, SQL Server) and NoSQL database systems
- Manage cloud database environments (KurrentDB/EventDB, AWS RDS/Aurora, Azure SQL, Snowflake) and implement Infrastructure as Code (IaC)(CDK)
- Proactively monitor database health, tune queries, and optimize schema design for maximum efficiency and scalability
- Reduce manual effort by developing scripts and automation tools (Python, PowerShell, Bash) for database maintenance, patching, and backups
- Implement and enforce security best practices, including encryption, access controls, and auditing to protect sensitive data
- Design and manage backup/recovery strategies, replication, and failover configurations
- Partner with Data Engineers and Developers to integrate database solutions into application workflows and optimize data pipelines
- Partner with product, engineering, and business teams to assess data integrity issues, perform root cause analysis, and drive system or process changes that eliminate recurring data defects
- Other Responsibilities As Assigned
Requirements:
- 3+ years in a Database Administrator, Database Engineer, or similar role, with a strong focus on modernizing legacy systems
- Hands-on experience with cloud platforms (AWS and Azure)
- Expert-level SQL skills and experience with relational/NoSQL databases
- Proficiency in at least one scripting language (Python is highly preferred)
- Understanding database design principles, normalization, and indexing strategies
- Bachelor's degree in computer science, Information Technology, or related experience
- Experience with DataOps tools and CI/CD pipelines (GitHub Actions)
- Familiarity with streaming data technologies (Kafka, Spark)
- Cloud Certification (AWS Certified Database, Azure Data Engineer)
- Experience with Data Visualization Tools (Power BI, Tableau)