{"schemaVersion":"jobsearcher.job.v1","id":"fc33dfe8de95bdbcee918627","url":"https://jobsearcher.com/jobs/fc33dfe8de95bdbcee918627","canonicalUrl":"https://jobsearcher.com/jobs/fc33dfe8de95bdbcee918627","title":"Data Reliability Engineer","description":"Location: Basking Ridge, NJ (In person)Employment Type: ContractExperience: 13+ YearsPosition OverviewWe 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.Key ResponsibilitiesDesign, 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.Required Skills And Qualifications13+ 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.Preferred Technical SkillsAWS: RDS, CloudWatch, S3, RedshiftDatabases: PostgreSQL, database performance tuning, schema designData Engineering: ETL/ELT, data pipelines, data lakes, data warehousesStreaming: Debezium, Kafka, Kafka ConnectOrchestration: Apache AirflowData Processing: Apache SparkAutomation: Python, BashInfrastructure as Code: Terraform, CrossplaneMonitoring: AWS CloudWatch, PrometheusSecurity: Database access controls, encryption, compliance, backup/recoveryAdditional QualificationsFamiliarity 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.","company":"Nova Web Technologies","rawCompany":"nova web technologies","city":"Jersey City","state":"NJ","isRemote":false,"isActive":false,"createdAt":"2026-11-07T07:41:52.482Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1243.00","title":"Database Architects","slug":"database-architects"},{"code":"15-1242.00","title":"Database Administrators","slug":"database-administrators"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"518210","title":"Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services","slug":"computing-infrastructure-providers-data-processing-web-hosting-and-related-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data Reliability Engineer","description":"Location: Basking Ridge, NJ (In person)Employment Type: ContractExperience: 13+ YearsPosition OverviewWe 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.Key ResponsibilitiesDesign, 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.Required Skills And Qualifications13+ 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.Preferred Technical SkillsAWS: RDS, CloudWatch, S3, RedshiftDatabases: PostgreSQL, database performance tuning, schema designData Engineering: ETL/ELT, data pipelines, data lakes, data warehousesStreaming: Debezium, Kafka, Kafka ConnectOrchestration: Apache AirflowData Processing: Apache SparkAutomation: Python, BashInfrastructure as Code: Terraform, CrossplaneMonitoring: AWS CloudWatch, PrometheusSecurity: Database access controls, encryption, compliance, backup/recoveryAdditional QualificationsFamiliarity 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.","datePosted":"2026-11-07T07:41:52.482Z","dateModified":"2026-11-07T07:41:52.482Z","hiringOrganization":{"@type":"Organization","name":"Nova Web Technologies","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Jersey City","addressRegion":"NJ","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"fc33dfe8de95bdbcee918627"},"url":"https://jobsearcher.com/jobs/fc33dfe8de95bdbcee918627"}}