• Partner with technical and non-technical stakeholders to translate business requirements into scalable, reliable, and maintainable data engineering solutions. • Design, develop, and maintain data integration solutions using Microsoft SQL Server, Azure Data Factory, Azure Databricks, Microsoft Fabric, and related Azure services. • Build, manage, and optimize ETL/ELT pipelines using Azure Data Factory and Microsoft Fabric Pipelines, including pipeline orchestration, parameterization, scheduling, monitoring, and error handling. • Develop and maintain data transformation logic using Azure Databricks notebooks and Microsoft Fabric notebooks, with a focus on performance, scalability, reusability, and operational reliability. • Design and implement data ingestion, transformation, validation, and delivery processes across structured, semi-structured, and external data sources. • Develop and optimize data integration processes utilizing Azure Data Factory, Azure Databricks, Azure Storage Accounts, Azure Data Lake Storage, Azure Key Vault, Microsoft Fabric Lakehouses, Warehouses, Pipelines, and Notebooks. • Build and maintain SQL-based data models, stored procedures, views, automation scripts, and database objects to support operational and analytical workloads. • Support the modernization and migration of legacy data integration processes from SSIS and on-premises platforms to cloud-based Azure and Microsoft Fabric architectures. • Design and implement reusable pipeline patterns, data quality checks, validation controls, logging, alerting, and performance monitoring processes. • Support new client onboarding efforts by designing and implementing reliable data ingestion, transformation, reconciliation, and validation workflows. • Troubleshoot and resolve data pipeline, data quality, performance, and integration issues in collaboration with teams across Intelligence & Analytics. • Design, develop, and maintain datasets, semantic models, and data structures that support reporting, analytics, and visualization solutions across Power BI, Excel, Microsoft Fabric, and other business intelligence platforms. • Contribute to data engineering standards, documentation, best practices, and reusable frameworks that improve scalability, maintainability, and operational efficiency. • Research, evaluate, and recommend emerging technologies and platform capabilities that improve data architecture, automation, performance, and reliability.

• Lead the design and evolution of our core data architecture across transactional, analytical, and long-term storage systems. • Own and improve PostgreSQL data design, schema structure, indexing strategy, query performance, relationships, constraints, and data integrity. • Design, review, and maintain ERDs and data models that clearly represent business logic, system behavior, and domain relationships. • Work closely with backend engineers to ensure application data models are scalable, consistent, and suitable for both operational and analytical use cases. • Build and improve data pipelines from production systems into analytics databases and reporting layers. • Design reliable approaches for data ingestion, replication, transformation, validation, rollups, aggregations, and historical storage. • Help define the right architecture for hot, warm, and cold data storage. • Support the design of analytics-friendly datasets for reporting, dashboards, product analytics, finance, compliance, and operational monitoring. • Help evolve our analytics database strategy, including how we use analytical stores, materialised views, denormalised tables, and aggregation layers. • Establish data modeling best practices across the engineering team. • Identify and fix data quality issues, including inconsistent schemas, duplicated logic, missing relationships, poor naming, and unreliable reporting sources. • Collaborate with backend, product, DevOps, and leadership teams to turn business requirements into clean, scalable data structures. • Define best practices for migrations, data retention, archival, backfills, and safe deletion of production data. • Mentor engineers on database design, ERDs, data modeling, and data pipeline thinking.

Role Description This position is remote (along with all of our BenchPrep positions). BenchPrep is looking for a hardworking, ambitious Staff/Senior Accountant to support its growing operations. This position will report to the Controller. Within the Accounting function at BenchPrep, you'll play a pivotal role in our finance team. Your focus will be on maintaining accurate financial records, preparing reports, analyzing data, and ensuring regulatory compliance. You'll contribute to budgeting, forecasting, audits, and process improvements, supporting our financial health and strategic decision-making. The ideal candidate has a strong background in accounting, financial analysis, and reporting, along with excellent analytical skills, attention to detail, and the ability to communicate financial information effectively across the organization. Proactivity, problem-solving abilities, and a commitment to continuous improvement are also essential. - Manage accounting function including account reconciliations, journal entries, AR, AP, and Billing - Analysis and review of company expenditures, confirming proper allocation of expenses to the various departments, and reporting to these departments as necessary - Review transactions to ensure accounting treatment is in accordance with GAAP and company policies and procedures - Analyze billing transactions to ensure proper allocation of revenue recognition policies - Review general ledger accounts and making all necessary journal entries including posting monthly, quarterly, and yearly accruals - Assist in building financial statements including balance sheet, income statement, and changes in financial position, as well as budget variance analysis - Assist in the design and preparation of budgets for review by management - Prepare year-end schedules for the annual tax returns - Look for ways to improve upon accounting processes and procedures Qualifications - Bachelor’s degree in accounting; CPA preferred - 3-5 years (Staff Accountant), or 5-8 (Sr Accountant) years in accounting or auditing; public accounting experience preferred - Team player with a positive attitude towards contributing and learning - Thorough knowledge and experience in the areas of financial statement preparation, GAAP, and revenue recognition - Strong verbal/written communication skills - Excellent analytical and problem solving skills - Ability to work well independently and in a team environment - Self starter, quick learner, and ability to multitask on a regular basis - Detail-oriented with excellent organizational skills and deadline driven - Capacity to thrive in a fast-paced environment - Strong sense of ownership on issues and following through to completion - Advanced proficiency with Microsoft Excel - Experience working in accounting systems (NetSuite, Intacct, Quickbooks, etc.) strongly preferred Benefits - Medical and ancillary benefits - Potential for yearly bonus - Stipends for work-from-home expenses - Flexible paid time off (our version of unlimited PTO) - Annual professional development stipend dollars - Competitive base salary Company Description We deliver the most advanced and flexible learning experience for certification, credentialing, test prep, continuing education, and training. Our cloud-based learning platform helps training organizations, associations and the extended enterprise deliver a highly engaging and effective learning experience for individuals looking to advance their careers. We incorporate the latest in learner-centered technology, including personalization, gamification, data science, usability and omni-channel delivery. We’re committed to helping people learn better, and that starts with our own people. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We are looking for high performing and motivated professionals who are excited about the chance to leverage technology to impact the lives of millions of learners. Join us.

Role Description We are seeking a highly skilled Microsoft Fabric Data Engineer with strong expertise in building scalable data platforms and engaging directly with US-based clients. The ideal candidate will play a key role in designing, developing, and optimizing enterprise-grade data solutions, with a focus on data modeling, reporting optimization, and modern analytics architectures. This role requires a blend of technical depth, business understanding, and client-facing communication skills. Key Responsibilities - Data Engineering & Platform Development - Design and implement end-to-end data pipelines using Microsoft Fabric (Data Factory, Lakehouse, Notebooks) - Build scalable data architectures leveraging medallion (Bronze/Silver/Gold) patterns and lakehouse models - Develop robust and optimized ETL/ELT pipelines for structured and semi-structured data - Integrate data from multiple enterprise sources (SQL Server, APIs, cloud platforms) - Data Modeling & Reporting - Design and develop semantic models and data models for reporting and analytics - Build optimized data models (facts, dimensions, relationships) for Power BI reporting - Enable Direct Lake / real-time analytics scenarios and reporting performance optimization - Work closely with BI teams to ensure high-performing dashboards and reports - Client Engagement (US Clients) - Interface directly with US stakeholders to understand business requirements and reporting needs - Participate in requirement gathering, solution walkthroughs, and design discussions - Translate business requirements into scalable technical solutions - Provide regular status updates, demos, and technical insights to client teams - Architecture & Best Practices - Define and implement Fabric-based data architectures aligned with enterprise standards - Ensure data governance, data quality, and security best practices - Optimize performance, scalability, and cost across data pipelines and storage - Collaborate with architects and cross-functional teams Qualifications - Strong experience with Microsoft Fabric / Azure Data Platform - Hands-on experience with: - Fabric Lakehouse, Data Factory, Dataflows / Pipelines - Power BI (Data modeling, DAX, performance tuning) - SQL, Python, PySpark - Expertise in data modeling (dimensional modeling, star/snowflake schemas) - Experience building scalable data pipelines and distributed processing systems - Experience with: - Azure Data Factory / Synapse / Databricks - Data ingestion, transformation, and orchestration - Understanding of data lake, data warehouse, and lakehouse architectures - Experience with CI/CD, version control, and deployment pipelines - Strong debugging, performance tuning, and problem-solving skills Requirements - 5–10 years of experience in Data Engineering - Minimum 2+ years of experience in Microsoft Fabric or modern analytics stack - Demonstrated experience in client-facing roles with US stakeholders Preferred Qualifications - Experience with Direct Lake / Real-time intelligence (RTI) scenarios - Exposure to API integrations and application-level data consumption - Certifications in Microsoft Azure / Fabric / Power BI - Experience in industry domains (Healthcare, Retail, Finance) Key Competencies - Strong analytical and problem-solving capability - Business-oriented thinking with technical depth - Ability to work independently and in global delivery teams - Proactive mindset with ownership and accountability Nice-to-Have - Exposure to AI/ML integration within Fabric ecosystem - Experience working in consulting or delivery-led environments - Familiarity with Agile delivery models