• Architect Robust Pipelines: Design, build, and optimize scalable data pipelines using Airflow, Python, dbt, and Snowflake. You will replace brittle manual processes with resilient, automated workflows. • Build Infrastructure as Code: Manage and evolve our cloud infrastructure (AWS/GCP) using Terraform, ensuring our platform is reproducible, secure, and scalable. • Elevate Code Quality: Write clean, production-grade code for complex data processing. You will champion engineering best practices, including code reviews, testing, and CI/CD. • Optimize Data Models: Collaborate with analysts to design performant SQL transformations and data models in Snowflake (experience with dbt is a huge plus). • Ensure Data Reliability: Implement observability and monitoring to catch issues before they impact stakeholders. You are the first line of defense for data quality. • Partner Cross-Functionally: Work closely with Data Analysts and Product Managers to understand their data needs and deliver high-quality data products that empower decision-making.

• Design and implement complex data models, modeling metadata, building reports and dashboards and creating reporting tools for data science and ML products users. • Design and deploy data infrastructure needed to drive data-driven decision-making solutions • Be the company’s expert on data administration and master data management • Be a technical thought leader on the development of scalable data systems • Develop front end applications to expose analytical data sets enterprise wide • Write highly tuned, scalable SQL queries running over large-scale, heterogeneous data warehouses • Work with the Product and Enterprise Engineering system teams to structure source systems for reporting consumption across the enterprise • Help maintain the CDC pipeline to power customer reporting

• Administer and manage the organization's Power BI environment, including Power BI Service and Power BI Report Server. • Configure and optimize server settings, data gateways, and data source connections for efficient data processing and distribution. • Create and manage user accounts, groups, and roles within the Power BI environment. • Enforce security policies to control access to reports, datasets, and dashboards. • Collaborate with the IT security team to ensure compliance with data protection regulations and company policies. • Implement and enforce data governance best practices to maintain data quality, accuracy, and consistency across reports and dashboards. • Assist report developers in optimizing report performance, data modeling, and visualization design. • Publish reports and dashboards to appropriate workspaces, taking into consideration user access and usage requirements. • Monitor system health, performance, and usage patterns to identify potential issues and bottlenecks. • Troubleshoot technical problems, performance degradation, and data refresh failures. • Develop and maintain backup and disaster recovery strategies for Power BI reports, datasets, and configurations. • Collaborate with business users, report authors, and stakeholders to understand their requirements and provide technical support. • Conduct training sessions for users to promote self-service reporting and data exploration. • Keep up-to-date with Power BI updates, new features, and enhancements. Plan and execute platform upgrades when necessary. • Document Power BI environment configurations, processes, and best practices

Role Description The Data Engineer will design, build, and optimize modern data solutions using Microsoft Fabric. In this role, you will work closely with analytics, BI, and business teams to deliver scalable, secure, and high-performance data platforms that turn raw data into actionable insights. This position bridges business requirements and technical execution by translating data needs into scalable, secure, and high-quality analytics assets. The role combines hands-on development with cross-functional collaboration to ensure analytics solutions are reliable, governed, and aligned with business priorities. Essential Job Functions - Design, develop, and maintain end-to-end data pipelines using Microsoft Fabric (including Power BI, OneLake, semantic models, and data pipelines). - Build and maintain data models including relational, dimensional, star, and snowflake schemas. - Ingest, transform, and orchestrate data from multiple sources (SQL, APIs, SaaS applications, streaming sources). - Optimize data models and queries for performance, reliability, and cost efficiency. - Create dashboards, reports, scorecards, and visualizations for operational and executive audiences. - Collaborate with BI developers and analysts to support Power BI semantic models and reporting. - Administer and support enterprise Fabric environments, including workspace design, security, and lifecycle management. - Establish and enforce analytics standards and best practices within the Fabric ecosystem. - Conduct regular data profiling and quality assessments. - Partner with business stakeholders to gather, document, recommend, and refine analytics requirements. - Translate business questions into actionable data solutions. - Prepare process flows, data flow diagrams, and technical documentation. - Support metadata management, lineage, data security, and governance controls. - Automate deployments and data workflows using CI/CD pipelines. - Document data architecture, pipelines, and operational processes. - Contribute to project planning, scope definition, and milestone tracking. - Communicate progress, risks, and dependencies to technical and business stakeholders. - Respond to analytics-related user issues in alignment with service expectations. - Stay current with Microsoft Fabric updates and recommend improvements. - Other duties as assigned. Qualifications - Good Written and Verbal Communications Skills - Good Interpersonal and Multi-tasking skills - Self-Motivated and able to work with little supervision - Excellent Organization and Technical Skills, with the ability to prioritize - Ability to explain technical problems and offer solutions to non-technical users and leadership - Excellent problem-solving skills and the ability to think critically and analytically. - A genuine curiosity about data and a proactive approach to exploring new tools and techniques - Proven ability to form collaborative relationships with stakeholders across the organization - Expertise in relational and dimensional database modeling, data development and administration - Familiarity with data security, role-based access control, and analytics governance models. Requirements - Bachelor’s Degree in Computer Science, Data Analytics, or related field - Minimum 5 years of work experience with SQL Databases and Power BI - Strong experience as a Data Engineer in Azure-based environments. - Hands-on experience with Microsoft Fabric (or strong background in Azure Synapse, Data Factory, and Power BI with readiness to specialize in Fabric). - Familiarity with Azure services such as Azure Data Lake Storage, Azure SQL, and Azure DevOps. - Experience with version control and CI/CD practices. - Experience developing analytics using Power BI or comparable visualization tools - Extensive experience with ETL/ELT pipelines including any combination of modern tools such as SSIS, Azure Data Factory, Function Apps, Logic Apps, etc. - Microsoft certifications (e.g., Fabric Analytics Engineer Associate, Azure Data Engineer) a preferred Benefits - Health Insurance - Flexible Spending Plan - Health Savings Plan - Dental Insurance - Vision Insurance - Paid Time Off - Paid Sick Time - Paid Holidays - 401K/with matching - Overtime Pay (when offered)