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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Reliability Engineer - **Company:** Nova Ltd. - **Location:** Bernards, NJ, United States - **Contract:** Permanent contract - **Skills:** Airflow, Amazon Web Services, Amazon S3, Backup Devices, Bash Shell, Big Data, Cloud Database, Databases, Directed Acyclic Graph (Directed Graphs), Information Engineering, Data Infrastructure, Data Integrity, Extract Transform Load (ETL), Data Security, Data Warehousing, Database Connection, Database Queries, Database Security, Disaster Recovery, Python (Programming Language), PostgreSQL, Operational Databases, Cloud Services, Prometheus, SQL Databases, Data Streaming, Workflow Management Systems, Data Processing, Scripting, Database Optimization, Apache Spark, Software Troubleshooting, Indexer, Infrastructure as Code (IaC), Amazon Relational Database Service, Data Lakes, Debezium, Apache Kafka, Data Management, Database Backup, Cloudwatch, Terraform, Data Pipelines, Amazon Redshift - **Published:** November 8, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=0ce8b7d646bbe742 ## About the Role * 13+ years of experience in data engineering, database engineering, data reliability, or related technology roles. * Extensive hands-on experience with PostgreSQL, preferably PostgreSQL running on AWS RDS. * Strong experience developing and supporting ETL/ELT data pipelines. * Strong SQL skills, including query development, troubleshooting, optimization, and data manipulation. * Strong experience with AWS cloud services, particularly database and data platform technologies. * Experience monitoring and troubleshooting production database environments. * Experience with database performance tuning, query execution plans, indexing, and schema optimization. * Experience with data pipeline monitoring, incident resolution, and root-cause analysis. * Experience with cloud database security, access controls, encryption, backup, and recovery. * Strong troubleshooting and problem-solving skills in production environments. * Ability to work onsite in Basking Ridge, NJ, five days per week., * Familiarity with Amazon Redshift and Amazon S3. * Exposure to Apache Spark for data processing. * Working knowledge of Apache Airflow for workflow orchestration. * Experience supporting production data platforms and participating in on-call rotations. * Knowledge of database security and compliance requirements such as GDPR and HIPAA. * AWS Certified Database - Specialty certification is a plus. ## Description We are seeking a highly experienced Data Reliability Engineer with strong expertise in PostgreSQL, AWS, and data pipeline engineering. The ideal candidate will have extensive experience building and supporting ETL/ELT data pipelines, monitoring cloud databases, troubleshooting data reliability issues, and maintaining highly available data platforms. This role will focus on ensuring the performance, availability, reliability, security, and scalability of PostgreSQL and cloud-based data environments. The successful candidate will work across database infrastructure, data pipelines, streaming platforms, and workflow orchestration technologies., * Design, develop, maintain, and troubleshoot ETL/ELT data pipelines supporting large-scale data lakes and data warehouses. * Monitor PostgreSQL RDS instances for performance, availability, resource utilization, and overall system health. * Monitor CPU, memory, storage, database connections, and other PostgreSQL RDS metrics using tools such as AWS CloudWatch and Prometheus. * Identify PostgreSQL performance bottlenecks and perform basic database tuning, including query execution plan analysis, indexing, and parameter optimization. * Analyze SQL query performance and collaborate with development teams to optimize queries, database schemas, and data access patterns. * Monitor and troubleshoot Debezium and Kafka Connect connectors to ensure reliable data capture and delivery. * Monitor ETL workflows and data pipelines for failures, processing delays, data quality issues, and performance bottlenecks. * Monitor Apache Airflow DAGs, troubleshoot failed tasks, and rerun workflows as required. * Support data-related incidents, perform troubleshooting, and participate in root cause analysis (RCA). * Develop automation scripts using Python, Bash, or similar scripting languages to improve operational efficiency. * Develop and maintain Infrastructure as Code (IaC) using tools such as Terraform and Crossplane. * Support database deployments, configuration changes, upgrades, and routine maintenance. * Implement and maintain database backup, recovery, and disaster recovery strategies. * Support database security through access controls, encryption, configuration reviews, and compliance practices. * Regularly audit database security configurations and identify potential risks or areas for improvement. * Assist with the design and optimization of database schemas for cloud environments. * Participate in on-call rotations and respond to database and data platform incidents. * Contribute to continuous improvement initiatives focused on data reliability, scalability, availability, and operational efficiency., * AWS: RDS, CloudWatch, S3, Redshift * Databases: PostgreSQL, database performance tuning, schema design * Data Engineering: ETL/ELT, data pipelines, data lakes, data warehouses * Streaming: Debezium, Kafka, Kafka Connect * Orchestration: Apache Airflow * Data Processing: Apache Spark * Automation: Python, Bash * Infrastructure as Code: Terraform, Crossplane * Monitoring: AWS CloudWatch, Prometheus * Security: Database access controls, encryption, compliance, backup/recovery