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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Matillion ETL Developer - **Company:** Propertyvalue Quantum Technologies Llc - **Location:** United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Airflow, Application Frameworks, BigQuery, Cloud Engineering, Data Governance, Data Infrastructure, Extract Transform Load (ETL), Dataspaces, Data Warehousing, Database Queries, Software Design Documents, Data Flow Control, Apache Hadoop, Performance Tuning, Cloudera, Reverse Engineering, Runbook, SQL Databases, Data Streaming, Data Processing, Google Cloud, Snowflake, Apache Spark, Technical Debt, Health Level Seven International, Apache Beam - **Published:** June 29, 2026 - **Apply:** https://www.dice.com/job-detail/88578ef9-fa20-49b9-b4f3-3c755c6aac18 ## About the Role * 8+ years of experience in ETL/ELT development with deep expertise in Matillion (Matillion ETL for Snowflake / Redshift / BigQuery). * Strong SQL skills and experience with complex transformation logic. * Hands-on experience with Google Cloud Platform data ecosystem preferred: BigQuery, Cloud Composer (Airflow), Dataflow / Apache Beam, Dataproc (Spark / Hadoop), Cloud Functions / Cloud Run * Strong understanding of data modeling, data warehousing concepts, and performance tuning. * Experience migrating ETL workloads from Matillion or other ETL tools to cloud-native architectures. Analytical & Consulting Skills * Ability to reverse-engineer undocumented or complex Matillion codebases. * Strong problem-solving skills with the ability to dissect legacy ETL logic. * Ability to interpret business requirements and translate them into technical implementations. Soft Skills * Excellent communication and documentation skills. * Ability to work with distributed teams in a cross-functional environment. * Proactive, detail-oriented, and comfortable working independently. Preferred Qualifications * Prior experience in healthcare, diagnostics, or life sciences data environments. * Understanding of HL7, EDI, or lab-information data flows (nice to have). * Google Cloud Platform Professional Data Engineer or related certifications. * Experience building reusable ETL frameworks or modernization accelerators. ## Description Analysis & Reverse Engineering * Perform a comprehensive assessment of existing Matillion jobs, pipelines, transformation logic, and dependency chains. * Reverse-engineer complex Matillion designs to extract business rules, data flows, and lineage. * Document current-state architecture, code logic, and integration touchpoints across systems. * Identify technical debt, performance gaps, and modernization opportunities. * Google Cloud Platform ETL/ELT Re-engineering * Redesign Matillion pipelines into scalable Google Cloud Platform-native patterns using: * BigQuery for data warehousing & SQL transformations * Cloud Composer (Airflow) for orchestration * Dataflow (Apache Beam) or Dataproc (Spark) for data processing * Cloud Functions or Cloud Run for lightweight transformations * Build reusable frameworks, templates, and standards for standardized ELT processes. * Ensure new architectures adhere to enterprise data governance, security, and compliance policies. Collaboration & Stakeholder Engagement * Work closely with business SMEs to validate extracted business rules and transformation logic. * Partner with data architects, cloud engineers, and product teams to align target-state architecture. * Conduct working sessions, knowledge-transfer workshops, and technical walkthroughs. * Provide recommendations on best practices, performance tuning, and optimization strategies. Documentation & Delivery * Produce clear documentation for source-to-target mappings, logic specifications, and orchestration flows. * Create detailed runbooks, design documents, and architecture diagrams. * Support migration, testing, validation, and deployment processes. ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [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) - [Technical Documentation - How Can I Write Them Better and Why Should I Care?](https://www.wearedevelopers.com/videos/681-technical-documentation-how-can-i-write-them-better-and-why-should-i-care) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [Making Data Warehouses fast. 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