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Job Title: Database Engineer
About the Company
We build software that powers the daily operations of waste and recycling organizations globally. Our products sit at the intersection of logistics, operations, and data, enabling cities and private haulers to run safer, more efficient, and more sustainable operations at scale. The Elements platform is a core part of this ecosystem and is undergoing active modernization — technically and operationally. This role is for engineers who enjoy owning real systems, not just writing code in isolation.
Role Overview
We are looking for a Database Engineer to own and evolve the data layer of the Elements platform. This is a hands-on, high-ownership role focused on reliability, performance, scalability, and database modernization in cloud environments. You will work on production databases serving real customers while leading database migrations, improving performance, and partnering closely with application and platform engineers to raise the overall data engineering bar. This role suits engineers who think beyond maintenance and see databases as first-class production systems that directly impact customer experience and platform stability.
What You'll Do
Required Skills & Experience
Nice to Have
Why Join Us
Job ID: 139011047
Skills:
Database Architecture, Linux, MySQL, PostgreSQL, MongoDB, Couchbase, Amazon Rds, High availability solutions
Skills:
MySQL, Terraform, AWS, Sql Performance Tuning, Python, Cloudwatch, VPC networking, Database Internals, Read Replicas, MVCC, query execution plans, Performance Insights, Amazon Aurora, indexing strategies, encryption-at-rest, Multi-AZ deployments, IAM Database Authentication, audit logging, Go, write-ahead logging, Infrastructure as Code, Aurora Serverless v2, RDS Proxy, KMS for encryption, RDS Aurora PostgreSQL
Skills:
S3, Sql, SQL Server, Dynamodb, Pyspark, RDS, Etl, AWS, Python, PostgreSQL, Redshift, Athena, Automation Scripts, Data Quality Frameworks
Skills:
PostgreSQL, Performance Tuning, database administration, Oracle, AWS
Skills:
MySQL, PostgreSQL, MongoDB, Python, AWS