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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Database Engineer - **Company:** IRTH Solutions, Inc. - **Location:** United States (Remote available) - **Experience:** Expert - **Salary:** $90,000.0 - $140,000.0 - **Contract:** Permanent contract - **Skills:** Query Performance, Adaptable Database Systems, Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Data Analysis, Microsoft Azure, Big Data, Databases, Customer Data Management, Data Architecture, Data Integrity, Extract Transform Load (ETL), Data Systems, Relational Databases, Decision Support Systems, Integrated Development Environments, Python (Programming Language), Microsoft SQL Server, Performance Tuning, Scrum Methodology, Power BI, SQL Stored Procedures, SQL Databases, SQL Server Reporting Services, Data Processing, Azure Data Factory, Large Language Models, Database Optimization, Database Performance, Database Migration, Data Lakes, Information Technology, Data Management, Virtual Agents, Databricks - **Published:** June 19, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=98bcc3fe9707cf26 ## About the Role Do you have experience in System tuning?, * 5+ years of experience in database engineering, data architecture, or a closely related technical role. * Expert-level proficiency in SQL and relational database systems - Microsoft Azure SQL and/or SQL Server strongly preferred. * Databricks - experience with the Databricks Lakehouse platform for large-scale data engineering, Delta Lake. * Python - scripting for data processing, automation, ETL pipelines. * Significant hands-on experience with pipeline integrity data including ILI, PODS, GIS platforms (APDM, UPDM), corrosion & CP databases, and field NDE data. * Deep knowledge of data modelling, schema design, indexing strategies, and query performance tuning. * Experience with stored procedures, views, triggers, and database automation. * Familiarity with pipeline integrity business processes and regulations (e.g., CFR 192 & 195, ASME B31.8S). * Experience working in agile/scrum software development environments. * Excellent analytical and communication skills - able to translate complex data challenges into clear solutions. * Self-directed and comfortable working remotely; willingness to travel to customer sites as required. Preferred * Claude AI / Anthropic APIs - experience integrating large language models into data workflows, tooling, or internal applications. * Agentic AI - familiarity with building or working alongside AI agents for autonomous data analysis, anomaly detection, or decision support within engineering or integrity management contexts. * Power BI or SQL Server Reporting Services (SSRS) for building analytical dashboards and reports. * Experience with cloud-native data services (Azure Data Factory, Synapse Analytics, or equivalent). * Bachelor's degree in Computer Science, Engineering, or equivalent practical experience. ## Description The Senior Database Engineer is a key technical individual contributor who drives the design, development, and evolution of our data management platform. Working closely with the Director of Engineering, solution architects, software engineers, and customer-facing teams, you will shape the database architecture that underpins the AIP/CIM Data Model. You will champion data quality, performance, and scalability across cloud and on-premise environments - and bring deep expertise in pipeline integrity data to help Irth Solutions deliver unparalleled value to its customers., The Senior Database Engineer will report directly to the Director of Engineering and will collaborate cross-functionally with development, QA, business intelligence, data science, and customer success teams., Database Architecture & Design * Design and develop robust, scalable data models and database architectures to house and analyze pipeline integrity datasets, including ILI, PODS, GIS (APDM/UPDM), corrosion & CP data, and field NDE data. * Establish and enforce data standards, processes, and procedures across teams and products. * Drive the evolution of the CIM Data Model to meet current and future customer requirements. Development & Engineering Excellence * Implement enhancements to the existing data management platform, supporting new features from design through QA sign-off. * Write high-quality stored procedures, queries, and database migration scripts with a focus on performance and maintainability. * Diagnose and resolve database performance bottlenecks; partner with software engineers to address data-related issues and system design challenges. * Adopt and champion best practices in testing, data integrity validation, documentation, and agile development. * Maintain a reusable library of data model documents, templates, and technical guides. Collaboration & Customer Engagement * Work directly with customers and subject matter experts to understand existing pipeline integrity data systems, pain points, and integration requirements. * Analyze customer GIS and third-party systems to plan and execute integrations with the Irth Solutions platform. * Partner with product managers, business analysts, and customer account executives during onboarding and support cases involving customer data. * Provide technical guidance to junior engineers and contribute to a culture of continuous improvement. ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [REST, GraphQL, gRPC, and more: A comparison of modern API styles](https://www.wearedevelopers.com/videos/100247-rest-graphql-grpc-and-more-a-comparison-of-modern-api-styles) - [Kubernetes and Microservices with Multi-Model Databases](https://www.wearedevelopers.com/videos/382-kubernetes-and-microservices-with-multi-model-databases) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [Data Analytics with Microsoft Fabric: End-to-End Use Case with Data Agents](https://www.wearedevelopers.com/videos/1547-data-analytics-with-microsoft-fabric-end-to-end-use-case-with-data-agents) ## Related Articles - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers)