Role Description We’re hiring a Senior Software Engineer to join the Power Query engineering team, which builds the core data connectivity and transformation platform used across Power BI, Microsoft Fabric, Excel, and other Microsoft data experiences. This team owns foundational runtime and connectivity components that enable customers to securely connect to, transform, and move data from a wide variety of sources at scale. Engineers work on high-impact systems spanning query execution, data connectors, performance optimization, and reliability, collaborating closely with partner teams to power data experiences used by millions of customers worldwide. - Design, build, and maintain core components of the Power Query platform that enable data connectivity and transformation across Microsoft products - Develop reliable, high-performance systems for connecting to and interacting with a wide variety of data sources - Improve scalability, performance, and reliability of data processing and query execution workflows - Collaborate closely with partner teams (Power BI, Fabric, Excel, and others) to deliver end-to-end data experiences - Diagnose and resolve complex production issues across client, service, and data source boundaries Qualifications - Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. - Experience building data connectivity layers such as connectors, drivers, or APIs for databases, files, or SaaS services - Experience working on data processing, query execution, data transformation, or performance optimization for data-intensive systems - Familiarity with authentication, secure connectivity, and reliability challenges when connecting cloud services to external or on-premises data sources - Experience designing extensibility platforms, SDKs, or developer-facing frameworks - Experience with cloud platforms (such as Microsoft Azure) and distributed systems - Contributions to open-source projects or experience working with partner or third-party ecosystems - Experience working in Agile development environments and collaborating across multiple product teams Benefits - Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work

Role Description As a Data Engineer on the R&D Team, you will help FreshBooks build and evolve high-quality, trusted data assets that power analytics, business decision-making, and machine learning initiatives. You will focus on data modeling, transformation, and domain-oriented data architecture, working closely with Product, Analytics, and Machine Learning teams to ensure data is well-structured, well-documented, and easy to consume. You will contribute to building scalable, reliable datasets that serve as a foundation for reporting, experimentation, and operational use cases, with exposure to both batch and event-driven data. NOTE: This role can be worked remotely from the above location(s). What You'll Do - Architect, design, and develop clean, high-performance datasets using modern tools like dbt and BigQuery, focusing on usability and scalability for analytical consumption. - Be a key contributor to our domain-oriented data architecture, defining how core business entities (e.g., customers, payments) are modeled, governed, and exposed across the organization. - Build and maintain robust batch and streaming data pipelines that transform raw data into trusted, analytics-ready assets to support both near real-time and traditional use cases. - Collaborate closely with Analytics, Product, and Machine Learning teams to translate complex requirements into reusable, well-governed data models and contracts. - Champion data quality, reliability, and documentation by implementing rigorous testing, validation, and monitoring practices. - Leverage cutting-edge tools, including AI/agentic workflows, to accelerate development, enhance productivity, and improve data exploration and lineage. - Participate in code reviews, contribute to improving engineering standards, and partner with platform teams to ensure our data solutions meet ambitious performance, cost, and scalability goals. Qualifications - 2+ years of experience working in data engineering, analytics engineering, or a related field. - Experience building and maintaining data models and transformation pipelines (e.g., dbt or similar tools). - Strong SQL skills and proficiency in Python (or similar language). - Solid understanding of data modeling concepts (e.g., dimensional modeling, normalization, data warehousing patterns). - Experience working with a cloud data warehouse (e.g., BigQuery, Snowflake, Redshift). - Familiarity with orchestrators such as Airflow, GCC, Dagster, Prefect (or similar tools). - Basic understanding or exposure to streaming/event-driven systems (e.g., Pub/Sub, Kafka, Kinesis, Dataflow). - Understanding of data quality, testing, and validation practices. - Ability to work cross-functionally and communicate clearly with both technical and non-technical stakeholders. You'll Stand Out If You Have - Experience in analytics engineering or working closely with analytics teams. - Experience building or contributing to near real-time data pipelines. - Familiarity with data governance, metadata management, or lineage tools. - Experience using AI-assisted or agentic tools to improve development workflows. - Experience in SaaS, fintech, or payments-related domains.

Role Description We are looking for native or fluent language speakers to help train AI systems by reviewing and annotating content in their language (Turkish). This is a long-term, remote gig. No prior experience is required. On the job training will be provided. You will work on a variety of projects for our client that require native proficiency in your language. This could include but is not limited to: - Review content in your native language (e.g., newspaper articles, website screenshots, advertisements) - Draw bounding boxes around specific elements as instructed (e.g., highlight the commercial aspect of an article) - Answer structured questions about the content - Write short summaries when required - Follow clear annotation guidelines to ensure quality and consistency Qualifications - Native or highly fluent speakers of the target language - Students, freelancers, part-time workers, or anyone seeking flexible short-term work - People comfortable following written instructions on a computer Requirements - Strong reading comprehension in your language - Basic computer skills (no technical background needed) - Attention to detail - Ability to follow structured instructions Benefits - Duration: Minimum 6 months (Long-term Project) - Pay Rate: $3.5 USD / hour - Hours: 30–40 hours/week - Location: Fully remote - Work: Not voice-based — text and image annotation only - No Interview, only assessment: 15–20 minute language skills assessment

• You own our data warehouse and the reporting layer on top of it, setting patterns for how data is modeled, evolved, and exposed. • You write SQL and dbt models, refactor transformations, and build the tables and views downstream teams rely on. • You proactively engage with teams across the company to understand how data is created and used, identify gaps, and guide solutions. • You partner with our DevX and architecture teams on the boundary between product engineering services and Snowflake. • You build models, tests, and processes that anticipate malformed data and upstream changes, making our pipelines boring to operate. • You instrument what you own, define meaningful SLOs and data quality checks, and participate in our rotating on-call schedule. • You own and extend our Python jobs running on Glue, Lambda, and Step Functions. • You pair with more junior engineers on real work, raise the bar on PR and architecture reviews, and define the patterns and standards the team writes against.