<ul><li>Design, develop, and optimize data pipelines using Azure Data Services (Azure Data Factory, Azure Data Lake Storage, Azure Synapse).</li><li>Build and maintain scalable ETL/ELT workflows using Databricks (Spark, PySpark, Delta Lake).</li><li>Implement and manage data orchestration and dependency management using Dagster or similar tools.</li><li>Partner with analytics, data science, and product teams to ensure reliable, high-quality data availability.</li><li>Optimize data models and storage strategies for performance, scalability, and cost efficiency.</li><li>Ensure data quality, observability, and reliability through monitoring, logging, and automated validation.</li><li>Support CI/CD pipelines and infrastructure-as-code practices for data platforms.</li><li>Enforce data security, governance, and compliance best practices within Azure.</li></ul>
<p>We are seeking a highly skilled Full Stack Data Engineer who thrives in building modern, scalable data platforms from the ground up. This is an opportunity to work on a cloud-native data stack, influence architecture decisions, and deliver solutions that directly power business insights and operations.</p><p>If you enjoy owning the full lifecycle—from data ingestion to application layer—this role will be a strong fit.</p><p><br></p><p><strong>What You’ll Do</strong></p><p>You will operate as a hands-on engineer across the full data stack:</p><ul><li>Design, build, and maintain scalable ELT pipelines and workflows</li><li>Develop and optimize data models and warehouse structures in Snowflake</li><li>Build full stack data applications and backend services</li><li>Write clean, efficient Python and SQL code</li><li>Develop reusable data frameworks and components</li><li>Implement automated testing for data quality and reliability</li><li>Build and maintain CI/CD pipelines (GitHub-based)</li><li>Create reporting and visualization solutions (Power BI or similar)</li><li>Monitor production systems and troubleshoot data issues proactively</li></ul><p><strong>Tech Stack</strong></p><ul><li>Data Platform: Snowflake</li><li>Languages: Python, SQL</li><li>Cloud: AWS / Azure / GCP (environment dependent)</li><li>DevOps: GitHub, CI/CD pipelines</li><li>Visualization: Power BI (or similar BI tools)</li></ul>
<ul><li>Design, build, and maintain interactive dashboards and reports using Microsoft Power BI to support business decision-making</li><li>Develop and optimize complex SQL queries, views, and stored procedures for data extraction, transformation, and analysis</li><li>Create and manage data models within Microsoft Power BI, including relationships, hierarchies, and performance tuning</li><li>Write advanced calculations and measures using DAX to deliver meaningful business insights</li><li>Use Power Query to clean, transform, and shape data from multiple sources</li><li>Integrate data from various systems (ERP, CRM, flat files, APIs) into cohesive reporting datasets</li><li>Perform data validation, reconciliation, and quality checks to ensure accuracy and consistency</li><li>Partner with business stakeholders to gather reporting requirements and translate them into technical solutions</li><li>Analyze trends, patterns, and anomalies to provide actionable insights and recommendations</li><li>Optimize report performance, including dataset design, query efficiency, and refresh strategies</li><li>Maintain documentation for data sources, models, and reporting logic</li><li>Support ad hoc data requests and exploratory analysis</li><li>Collaborate with data engineering and IT teams on data pipelines, warehousing, and governance initiatives</li></ul>
<p>We are seeking experienced and detail-oriented SQL Database Administrators (DBAs) to join our network for upcoming opportunities with enterprise-level environments. This is an exciting opportunity to work alongside infrastructure, application, and development teams while helping support and optimize critical database systems for growing organizations.</p><p>The ideal candidate is passionate about database performance, data integrity, and system reliability, and enjoys solving complex technical challenges in fast-paced environments.</p><p><strong>Responsibilities</strong></p><ul><li>Administer, monitor, and maintain enterprise SQL database environments</li><li>Optimize database performance through tuning, indexing, and query optimization</li><li>Manage backup, recovery, replication, and disaster recovery processes</li><li>Support high-availability environments and ensure database reliability and uptime</li><li>Collaborate with infrastructure, development, and application support teams to troubleshoot and resolve issues</li><li>Implement database security, permissions, patching, and maintenance best practices</li><li>Develop and maintain automation scripts, jobs, and monitoring processes</li><li>Participate in database migrations, upgrades, and system enhancements</li></ul>