> Markdown version of [/jobs/ext/862803-specialist-engineer-data](https://www.wearedevelopers.com/jobs/ext/862803-specialist-engineer-data). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Specialist Engineer - Data - **Company:** Ollion, Inc. - **Location:** Western United States, United States (Remote available) - **Experience:** Expert - **Salary:** $100,000.0 - $130,000.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Artificial Intelligence, Airflow, Microsoft Azure, BigQuery, Cloud Database, Cloud Storage, Databases, Continuous Integration, Data Architecture, Information Engineering, Data Infrastructure, Extract Transform Load (ETL), Data Masking, Data Transformation, Data Retrieval, Data Security, Data Structures, Data Systems, Data Warehousing, DevOps, Data Flow Control, Identity and Access Management, Python (Programming Language), Machine Learning, Performance Tuning, Role-Based Access Control, Power BI, Cloudera, Azure Machine Learning, Search Technologies, Software Engineering, SQL Databases, Data Streaming, Unstructured Data, Management of Software Versions, Workflow Management Systems, Data Logging, Data Processing, Scripting, Google Cloud, Cloud Platform System, Feature Engineering, Microsoft Power Automate, Azure Data Factory, Cloud Monitoring, Snowflake, Data Build Tool (dbt), Multi-Cloud, Infrastructure as Code (IaC), Data Lakes, Kubernetes, Information Technology, Google Bigquery, Bicep, Cosmos DB, Machine Learning Operations, Terraform, Azure Synapse Analytics, Looker Analytics, Software Version Control, Data Pipelines, Api Management, Databricks - **Published:** June 19, 2026 - **Apply:** https://www.workingnomads.com/jobs/specialist-engineer-data-ollion ## About the Role Expertise You Bring: * Cloud Data Platform Mastery: hands-on experience designing and operating data solutions using major Azure services (Blob Storage, Data Factory, Databricks, Synapse) and/or GCP services (Cloud Storage, BigQuery, Dataflow, Pub/Sub, IAM). * Transformation & Modeling: Expert in SQL and modern ELT methodologies using tools like dbt (Data Build Tool) for version-controlled, production-grade data modeling within a modern cloud data warehouse (e.g., BigQuery, Azure Synapse, or Snowflake). * BI & Reporting: Experience with BI tools, specifically the configuration and optimization of data for use in Power BI or Looker. * Engineering Excellence: Advanced proficiency in Python for complex data transformation, API integrations, and automation scripting. Experience with workflow orchestration tools (Apache Airflow, Google Cloud Composer, or Azure Data Factory). * Machine Learning Engineering & MLOps: + Proven experience working with Data Scientists to build data and feature pipelines for ML. + Familiarity with ML lifecycle tools and frameworks (e.g., GCP Vertex AI, Azure Machine Learning, Kubeflow, MLflow). + Understanding of machine learning model deployment, serving, monitoring, and versioning best practices. * Data Security & Governance: Expertise in applying security controls, including encryption, data masking, and implementing role-based access control (RBAC) models in Azure and GCP data services. * DevOps Capabilities: Familiarity with infrastructure as code (IaC) practices using Terraform (preferred for multi-cloud) or cloud-native tooling (Azure Bicep / GCP Deployment Manager) and experience with version control, CI/CD pipelines, and automation tools for cloud data services. * Education & Experience: Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative field. 4+ years of professional experience in a Data Engineering, Software Engineering, or Data Architecture role. * Required Certifications: Must hold professional-level data/AI certifications in at least one of the major platforms, such as: + Azure: Microsoft Certified: Azure Data Engineer Associate, or Azure AI Engineer Associate. + GCP: Google Cloud Certified Professional Data Engineer, or Professional Machine Learning Engineer. ## Description * Data Modeling and Warehousing: Develop and maintain optimized data models (e.g., dimensional, vault) within multi-cloud data warehouse solutions (e.g., Google BigQuery or Azure Synapse Analytics) or data lakes to support BI, reporting, and analytical workloads. This includes ensuring data structures are optimized for consumption by tools like Power BI and Looker. * Performance Tuning: Monitor, troubleshoot, and optimize the performance of data warehouse queries and compute resources (e.g., BigQuery slots, Azure Synapse SQL pools, or Databricks/Dataproc clusters) to ensure cost-efficiency and fast data retrieval. * AI Data Foundation: + Feature Engineering: Collaborate with Data Scientists to design and implement feature stores and pipelines to prepare and serve data for ML model training and inference. + Vector Database Integration: Develop and maintain pipelines for transforming unstructured data (text, documents) into embeddings and loading them into vector databases (e.g., Azure Cosmos DB, GCP Vertex AI Vector Search, or dedicated vector stores) to support RAG solutions. + Data Orchestration: Implement workflows (e.g., using Apache Airflow, Google Cloud Composer, or Azure Data Factory/Logic Apps) to automate the end-to-end data lifecycle for AI/ML processes, including data refresh and model retraining. MLOps and Productionization: * Model Deployment: Work with Data Science teams to containerize, deploy, and manage machine learning models in production environments (e.g., using GCP Vertex AI, Azure Machine Learning, or AKS/GKE). * Monitoring and Logging: Implement robust monitoring and logging solutions for production ML pipelines and models to track performance, data drift, and model decay using Azure Monitor or GCP Cloud Monitoring. * CI/CD for ML: Integrate model training, testing, and deployment into CI/CD pipelines to ensure rapid, reliable, and automated updates to production ML services. * Security and Governance: Implement and manage security best practices across Azure, GCP, and Snowflake, including access controls, role-based security (RBAC), IAM policies, and data encryption. * Coding and Automation: Write complex, efficient SQL queries and develop scripts in Python (or other relevant languages like Scala/Java) for data manipulation, process automation, and pipeline orchestration. * Collaboration: Work closely with data analysts, data scientists, and business stakeholders to understand data requirements and deliver high-quality, actionable data solutions, including setting up data sources and datasets for BI tools like Power BI and Looker. * Documentation: Create and maintain technical documentation for data models, data flows, and ETL/ELT processes. ## Related Videos - [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) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Back(end) to the Future: Embracing the continuous Evolution of Infrastructure and Code](https://www.wearedevelopers.com/videos/440-back-end-to-the-future-embracing-the-continuous-evolution-of-infrastructure-and-code) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [AI Model Management Life Circles: ML Ops For Generative AI Models From Research to Deployment](https://www.wearedevelopers.com/videos/1152-ai-model-management-life-circles-ml-ops-for-generative-ai-models-from-research-to-deployment) - [DevOps Maturity Check – a way to balance autonomy and alignment](https://www.wearedevelopers.com/videos/58-devops-maturity-check-a-way-to-balance-autonomy-and-alignment) ## Related Articles - [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-developers) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [7 Cloud Computing Trends Coming in 2025 for Developers](https://www.wearedevelopers.com/magazine/412-7-cloud-computing-trends-coming-in-2025-for-developers) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers)