Job Requisition ID #
Position Overview
Autodesk is looking for diverse engineering candidates to join the Access domain, building data Engineering pipelines leveraging data 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, and sequence of work to enable fast, iterative improvements
Design, build, and maintain scalable 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 will identify business challenges and opportunities for improvement and solve them using data analysis and data mining to make strategic and tactical recommendations
Enable analytics and provide critical 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
Strong proficiency in SQL and programming languages such 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 like Jupyter, EMR Notebooks, or Apache Zeppelin
Experience leveraging AI-assisted development tools (e.g., GitHub Copilot, Cursor, Claude Code) 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
Are you an existing contractor or consultant with Autodesk?
Please search for open jobs and apply internally (not on this external site).
Skills Required
- 6-8 years of experience in data engineering or related roles
- Strong proficiency in SQL and programming languages such as Python
- Experience building data pipelines using modern data technologies
- 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 and pipeline reliability
- Experience working with notebook solutions like Jupyter
- Experience leveraging AI-assisted development tools
- Bachelor's degree in Computer science, Engineering, or related field
Autodesk Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Autodesk and has not been reviewed or approved by Autodesk.
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Leave & Time Off Breadth — Time away is considered expansive, combining discretionary time off for salaried roles, company holidays/Autodays, and a periodic paid sabbatical. These options provide flexibility beyond standard accrual-based PTO.
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Equity Value & Accessibility — Total rewards prominently include RSUs and an employee stock purchase plan with a discount and lookback, alongside annual bonus or commission programs. These elements are available to eligible employees and can materially augment base pay.
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Parental & Family Support — Family-building support includes reimbursement for adoption, surrogacy, IVF/co‑maternity, and fertility benefits, plus dedicated coaching and Cleo resources for parenting and caregiving. These services extend support before, during, and after leave.
Autodesk Insights
What We Do
Autodesk makes software for people who make things. If you’ve ever driven a high-performance car, admired a towering skyscraper, used a smartphone, or watched a great film, chances are you’ve experienced what millions of Autodesk customers are doing with our software. Autodesk gives you the power to make anything. Over 100 million people use Autodesk software like AutoCAD, Revit, Maya, 3ds Max, Fusion 360, SketchBook, and more to unlock their creativity and solve important design, business and environmental challenges. Our software runs on both personal computers and mobile devices and taps the infinite computing power of the cloud to help teams around the world collaborate, design, simulate and fabricate their ideas in 3D. We provide exceptional compensation/benefit packages and we’d love for you to join us. We’re proud to be an equal opportunity employer and we consider all qualified applicants without regard to race, gender, disability, veteran status or other protected category. To see our culture in action, check out #AutodeskLife. We are headquartered in the San Francisco Bay Area and have more than 10,000 employees worldwide.
Why Work With Us
Our work is impactful. Our people are innovative. And our culture is inclusive. As our software shapes new solutions to the world’s biggest challenges, you shape your career path. With us, you lead the way in achieving sustainability, resilient communities, and an equitable workforce. Discover #AutodeskLife.
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