What Autodesk Has to Offer:
Autodesk makes the software and tools that help people imagine, design, and make a better world. 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 their software. Autodesk offers their employees benefits like:
Autodesk makes the software and tools that help people imagine, design, and make a better world. 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 their software. Autodesk offers their employees benefits like:
Job details
Job Requisition ID #
Position Overview
We are looking for a highly capable Data Engineer to join the Customer Success Management (CSM) Data & Analytics team at Autodesk.
Data and analytics are increasingly central to how the business operates. Within the CSM organization, delivering trusted, timely, and scalable data assets that support onboarding, adoption, and customer engagement is a strategic priority. The Data & Analytics team is responsible for simplifying a complex data landscape and enabling self-serve, lifecycle-aware analytics that support Customer Success across a large and diverse customer base.
In this role, you will design, build, and maintain robust data pipelines, analytical datasets, and data frameworks that power reporting, dashboards, experimentation, and emerging AI-assisted insights. You will work closely with BI Developers, analysts, and cross-functional partners to ensure data is reliable, well-modelled, and fit for decision-making.
This is a hands-on engineering role for someone who enjoys working at the intersection of data engineering, analytics, and business impact.
Responsibilities
Design, build, and maintain scalable data pipelines for extracting, transforming, validating, and loading data from a wide variety of internal sources using Python, SQL, dbt, and workflow orchestration tools.
Develop and maintain trusted, reusable analytical datasets that serve as core building blocks for BI, self-service analytics, experimentation, and advanced insights.
Partner closely with BI Developers and analysts to translate business requirements into well-structured, performant data models.
Implement and maintain data quality, observability, and durability mechanisms to proactively detect and resolve issues across ingestion, transformation, and storage.
Optimize existing workflows, transformations, and queries to improve performance, reliability, and cost efficiency, particularly within Snowflake.
Design and evolve components of analytics engineering frameworks that support testing, documentation, governance, and consistency at scale.
Collaborate with Customer Success stakeholders to understand analytical needs and ensure data solutions align with business strategy and growth priorities.
Support downstream data consumers by answering questions, documenting datasets, and enabling effective self-service usage.
Stay current with data and analytics engineering best practices and evaluate new tools and technologies in the context of Autodesk’s data strategy.
AI & Advanced Analytics Enablement (Key Focus)
This role does not own machine learning model development, but plays an important role in enabling AI-driven and predictive analytics through strong data foundations.
You will:
Prepare, transform, and serve high-quality analytical datasets used as inputs for predictive models and advanced analytics.
Operationalize model outputs (e.g., scores, classifications, predictions) into analytics layers and BI tools so insights are consumable by non-technical users.
Collaborate with data science and advanced analytics partners to productionize AI use cases, including feature engineering, validation, and monitoring.
Apply an understanding of responsible AI principles, including data quality, transparency, and explainability, particularly for customer-facing insights.
Minimum Qualifications
4–6+ years of relevant professional experience in data engineering, analytics engineering, or a closely related role.
BA / BS in Data Science, Computer Science, Statistics, Mathematics, or equivalent practical experience.
Strong experience building and maintaining data pipelines, transformations, and analytical datasets.
Hands-on experience with Snowflake, including SnowSQL, Snowpipe, and cost/performance optimization.
Strong programming skills in Python and SQL, with an emphasis on modular, maintainable code.
Experience using dbt for analytics engineering and transformations.
Experience with workflow orchestration tools such as Airflow.
Experience working with version control systems (e.g., Git).
Preferred Qualifications
Experience supporting Customer Success, Support, or GTM analytics use cases.
Familiarity with Power BI or other modern BI tools.
Experience working in cloud environments (e.g., AWS: S3, Lambda, Glue, CloudWatch).
Basic understanding of Salesforce, Gainsight, or similar CS platforms.
Experience working with distributed or remote teams across time zones.
A strong curiosity for learning and improving data systems over time.
The Ideal Candidate
You enjoy working with complex, messy data and turning it into reliable analytical assets.
You care about business relevance and want to ensure data supports real decision-making.
You’re comfortable with ambiguity and can translate loosely defined questions into concrete technical solutions.
You enjoy collaborating with BI Developers, analysts, and business stakeholders.
You have a strong sense of ownership and are comfortable operating in a self-guided manner.
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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.Sales Careers
Working in sales at Autodesk allows you to build meaningful relationships with customers while growing your career. Join us and help make a better, more sustainable world. Learn more here: https://www.autodesk.com/careers/sales
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?
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