Job Requisition ID #
Position Overview
Autodesk is looking for diverse engineering candidates to join the Access domain, building data Engineering pipelinesleveragingdata platforms. As a Data Engineer, you will act as a Data Champion, driving data quality, reliability, and observability standards across platforms. You will rapidly improve critical data processing and analytics pipelines while solving hard problems around reliability, resiliency, and scalability.
Our tech stack includes Hive, Spark, Flink, Presto,Iceberg,Looker, Power BI, and cloud services on Amazon Web Services, with data platform components. Analytics and reporting leverage platforms from Snowflake, Google (Looker), and Microsoft(Power BI).
Roles and Responsibilities
You will need a product-focused mindset. It is essential for you to understand business requirements and architect systems that scale and extend to accommodate those needs
Break down complex problems, define technical solutions, andsequence ofwork to enable fast, iterative improvements
Design, build, andmaintainscalable data pipelines and data models across Access
Modernize legacy data workflows and infrastructure, including migrations from platforms such as Hive to Iceberg
Develop reliable ETL/ELT workflows to ingest, transform, and serve data for analytics and operational use cases
Interface with data engineers, data scientists, product managers, and other stakeholders to understand their needs and promote best practices
You have a growth mindset. You willidentifybusiness challenges and opportunities for improvement and solve them using data analysis and data mining to make strategic and tactical recommendations
Enable analytics andprovidecritical insights around product usage, campaign performance, funnel metrics, segmentation, conversion, and revenue growth
You will partner with different teams within the organization to understand business needs and requirements
Own critical data pipelines end-to-end and contribute to improving the overall data platform
Minimum Qualifications
6–8 years of experience in data engineering or related roles
Strongproficiencyin SQL andprogramming languagessuch as Python
Experience building data pipelines using modern data technologies (e.g., Spark, Airflow, Snowflake, or similar)
Experience with cloud-based data architectures (AWS, Azure, or GCP)
Experience building dashboards and analytics in Looker and/or Power BI
Experience with version control and CI/CD tools like Git and Jenkins CI
Experience with streaming architectures and Flink-based processing
Strong understanding of data modeling, pipeline reliability, and large-scale data processing
Experience working with notebook solutions likeJupyter, EMR Notebooks, or Apache Zeppelin
ExperienceleveragingAI-assisted development tools (e.g., GitHubCopilot,Cursor,ClaudeCode)to improve development productivity and code quality
Familiarity with applying AI/ML techniques to data engineering workflows, including data transformation, anomaly detection, or pipeline optimization
Bachelor's degree in Computer science, Engineering, or related field, or equivalent practical experience
Preferred Qualifications
Experience with data platform modernization or large-scale data migrations
Experience working with identity,access,compliance,or entitlement-related datasets
Familiarity with Model Context Protocol (MCP) servers or similar frameworks for enabling AI-agent interactions with data systems
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About Autodesk
Welcome to Autodesk! Amazing things are created every day with our software – from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made.
We take great pride in our culture here at Autodesk – it’s at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world.
When you’re an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us!
Salary transparency
Salary is one part of Autodesk’s competitive compensation package. Offers are based on the candidate’s experience and geographic location. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.Diversity & Belonging
We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: https://www.autodesk.com/company/diversity-and-belonging
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