Database Administrator, MongoDB

November 25

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ComboCurve

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Energy • SaaS • B2B

ComboCurve is a SaaS platform that automates and scales oil and gas reserves forecasting, deal evaluation, and production economics for energy companies and advisors. It enables bulk data import, automated forecasting using dozens of configurable variables, statistical diagnostics, type-curve generation, and integrated economic analysis to speed up A&D, asset management, and reserve workflows. The product targets petroleum engineers, upstream operators, midstream firms, banks/advisors, and other energy professionals who need accurate, high-volume well forecasting and economic modeling.

51 - 200 employees

Founded 2017

⚡ Energy

☁️ SaaS

🤝 B2B

📋 Description

• Support our database infrastructure — primarily MongoDB, with exposure to relational databases and data engineering workflows. • Design and administer replica sets and clusters (capacity planning, scaling, automation). • Performance tuning: indexing strategy, query profiling, schema design, aggregation pipelines, concurrency, and connection management. • Backup/restore, point-in-time recovery, and disaster recovery runbooks. • Observability: Create dashboards/alerts (e.g., Atlas/Cloud Manager, Datadog) and capacity/latency SLOs. • Administer RDBMS (e.g., PostgreSQL or Snowflake): backups, replication, query tuning, indexing, vacuum/maintenance. • Build and maintain ETL/ELT jobs to move data between MongoDB and relational systems. • Implement change data capture, data validation, and quality checks. • Write utilities and automation in JavaScript/Node.js; craft complex SQL and MQL queries. • Review designs with application engineers; advise on data access patterns and schema evolution. • Participate in an on-call rotation and incident response; drive root-cause analysis and preventive fixes. • Partner with dev teams to understand feature needs and data access patterns; translate requirements into DB tasks. • Communicate clearly in standups, PRs, and docs; escalate risks early with actionable proposals.

🎯 Requirements

• 1–3 years of experience working with databases. • Basic understanding of MongoDB concepts such as documents, collections, and indexes. • Exposure to SQL and relational databases (PostgreSQL, or Snowflake preferred). • Familiarity with JavaScript/Node.js and Python. • Detail-oriented, organized, and comfortable working in a collaborative engineering environment. • Excellent communication skills and eagerness to learn from feedback.

🏖️ Benefits

• Mentorship from experienced engineers who will help you grow into a database specialist. • Opportunities to work on real production systems and learn modern data infrastructure from the inside out. • A collaborative, growth-oriented culture that encourages learning and continuous improvement. • The chance to make a meaningful impact on the reliability and performance of our platform.