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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Developer - **Company:** Maintainx Inc. - **Location:** United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Cloud Engineering, Continuous Integration, Data Governance, Data Infrastructure, Programming Tools, Github, Python (Programming Language), Machine Learning, Query Optimization, Raw Data, Standard Sql, Application Data, Software Engineering, Data Streaming, Cloud Platform System, Data Ingestion, Technical Debt, Event Driven Architecture, Data Lakes, Apache Flink, Data Analytics, Apache Kafka, Terraform, Databricks - **Published:** September 4, 2026 - **Apply:** https://www.dice.com/job-detail/767b7bc1-be6c-4db9-adbd-ef98852afd8a ## About the Role * 6+ years of experience as a data developer in a modern, production-grade cloud data platform (Databricks or similar equivalent) * Experience operating under ambiguity and making technical tradeoffs that balance velocity and value delivery with maintainability and technical debt * Strong Python and SQL skills * Experience with CDC pipelines * Experience managing cloud infrastructure with Terraform (or similar infrastructure-management equivalent) * Experience building CI/CD workflows using DABs and GitHub Actions (or similar) * Experience in query optimization, resource allocation and management, cost management, and data lake performance * Experience working in a fast-paced, agile environment * An expert level of English, both spoken and written, is required, as the individual will need to lead platform engineering managers across multiple teams, present technical priorities to executive stakeholders, and align with engineering leaders outside Qubec on a daily basis. Extra consideration for candidates with the following: * Knowledge of compliance and regulatory frameworks (ex: GDPR, CCPA, SOC2, FedRAMP) * Experience with event-streaming with Kafka and Flink (or similar data-streaming architectures) * Backend software development experience, including with application data storage (relational, unstructured, BLOB, etc.) and event-driven architecture * Experience with building and operating vector databases and RAG ## Description We are seeking a Senior Data Developer to join our growing team. You will help build and maintain the data platform that directly powers the MaintainX product and enables internal analytics and BI, while developing platform capabilities and tooling used by software development teams daily. You will contribute across the data platform, including pipelines (batch, micro-batch, and streaming), deployment, governance, and developer tooling. What you'll do: * Build and evolve the Databricks-based data platform used for product features, machine learning, and internal reporting * Design and develop reliable and scalable data ingestion and transformation pipelines * Model raw data into clean, reliable datasets that power both product features and internal analytics * Build platform abstractions and tooling that improve developer experience for data producers and consumers * Improve observability, testing, and monitoring to ensure reliability and performance * Manage and contribute to data governance, security, compliance, and access controls * Contribute to platform standards and architecture as the data platform scales * Collaborate with software development, machine learning, product, and analytics teams to support their data use cases ## Related Videos - [Data Governance in the Era of AI](https://www.wearedevelopers.com/videos/1622-data-governance-in-the-era-of-ai) - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [Infrastructure as Code: The Developer's Secret Weapon](https://www.wearedevelopers.com/videos/1221-infrastructure-as-code-the-developer-s-secret-weapon) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [Making Data Warehouses fast. 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