Senior Database Engineer

Surescripts•Minneapolis, MN

4d•$133,000 - $162,600•Hybrid

About The Position

The Senior Database Engineer designs, implements, and optimizes secure, highly available, and scalable database platforms (relational and NoSQL) by leveraging automation, Infrastructure as Code, and CI/CD practices. The role applies strong data modeling, schema design, and SQL development to build efficient, well-structured databases. This role ensures compliance and observability across database environments and collaborates with agile teams to deliver resilient, integrated solutions that meet business and application requirements.

Requirements

Bachelor degree in computer science, information systems or computer engineering or related field or equivalent experience
Strong understanding of relational database structures, theories, principles, and practices
5+ years of experience with developing, deploying, tuning, and supporting large, highly available database environments
3+ years of experience with database platforms including AlloyDB or other PostgreSQL-compatible engines, Cassandra, and BigQuery/BigTable.
3+ years of experience with SQL and database programming (pgSQL, CQL, PL/SQL).
3+ years of experience with automation tooling such as Ansible, Terraform, Python, Flyway.
3+ years of hands-on experience operating databases in a public cloud.

Nice To Haves

Experience with cloud datawarehousing/analytics and NoSQL platforms.
Experience with designing and implementing data pipelines using GCP BigQuery, Dataflow, and Airflow.
Experience with observability tooling (e.g. Datadog, Grafana)
Experience with database replication (e.g. Striim, pglogical)
In-depth technical knowledge of network and operating systems, including Linux and Windows
Direct experience with Google Cloud AlloyDB

Responsibilities

Work in an agile development process to develop and implement requirements to ensure database design and performance meet business requirements.
Own the datastore end-to-end, designing schemas, indexes, partitions, and storage layouts and tuning query performance, connection pooling, replication, and backups to ensure efficient and reliable data access.
Design, provision, and operate cloud native databases to meet availability, performance, and scalability objectives for high-volume business critical workloads.
Manage databases using infrastructure-as-code to ensure consistent, repeatable and version-controlled provisioning and configuration across all environments.
Own the automated schema management pipeline, including designing and implementing policy-as-code best practices to ensure the safety of changes.
Design and implement redundant, highly available database architectures with automated failover and disaster recovery to ensure data protection, integrity, and business continuity.
Conduct research and make recommendations on database products, services, protocols, and standards in support of business needs.