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Title: MemSQL (SingleStore) Database Engineer
Experience: 5–8 Years
Location: Dallas, TX / Tampa, FL / Irving, TX (Hybrid)
About the Role
We are seeking a highly skilled MemSQL (SingleStore) Database Engineer to support large-scale, high-performance data platforms. The ideal candidate will have hands-on experience with SingleStore/MemSQL administration, SQL optimization, distributed database architecture, and real-time data processing environments.
The candidate will work closely with application teams, data engineers, DevOps teams, and business stakeholders to ensure database performance, scalability, reliability, and availability.
Key Responsibilities
- Design, implement, and maintain SingleStore (MemSQL) database environments.
- Manage distributed database clusters including Aggregator and Leaf Nodes.
- Monitor database health, performance, and resource utilization.
- Perform query tuning, indexing optimization, and performance troubleshooting.
- Implement backup, recovery, disaster recovery, and high-availability solutions.
- Support database replication, partitioning, and cluster scaling activities.
- Develop and optimize complex SQL queries, stored procedures, and database objects.
- Work with real-time and batch data ingestion pipelines.
- Troubleshoot production incidents and database-related issues.
- Automate database administration activities using Python, Shell scripting, or similar tools.
- Collaborate with Data Engineering and DevOps teams for CI/CD deployments.
- Ensure database security, access management, and compliance standards.
- Create and maintain technical documentation and operational runbooks.
Required Skills
- 5–8 years of overall database administration or database engineering experience.
- 3+ years of hands-on experience with MemSQL / SingleStore.
- Strong expertise in SQL development and query optimization.
- Experience managing distributed database architectures.
- Knowledge of:
- Sharding
- Partitioning
- Replication
- High Availability (HA)
- Disaster Recovery (DR)
- Experience with Linux/Unix environments.
- Strong understanding of OLTP and OLAP workloads.
- Experience with performance monitoring and troubleshooting.
- Hands-on scripting experience using Python, Shell, or Bash.
- Strong understanding of database security best practices.
Preferred Skills
- Experience with cloud platforms such as AWS, Azure, or GCP.
- Experience with Kafka, Spark, Flink, or other streaming technologies.
- Exposure to data warehousing and real-time analytics platforms.
- Familiarity with monitoring tools such as Prometheus, Grafana, Splunk, or Datadog.
- Knowledge of CI/CD pipelines and DevOps practices.
- Experience supporting telecom, network analytics, or large-scale enterprise applications.
Qualifications
- Bachelor's Degree in Computer Science, Information Technology, or related discipline.
- Strong communication and stakeholder management skills.
- Ability to work in a fast-paced production environment.
Nice to Have
- BigQuery exposure.
- Java or Scala development experience.
- Experience with AI/ML data platforms and large-scale analytics solutions.
- Telecom domain experience preferred