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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer - **Company:** BINGHAMTOM UNIVERSITY - **Location:** United States - **Salary:** $86,000.0 - **Contract:** Permanent contract - **Skills:** Airflow, Amazon Web Services, Amazon S3, Microsoft Azure, Big Data, BigQuery, Cloud Computing, Cloud Database, Information Engineering, Data Warehousing, Machine Learning, MongoDB, Data Streaming, Google Cloud, Snowflake, Git, Kubernetes, Information Technology, Cassandra, AWS Glue, Stream Processing, Autodesk Autocad, Software Version Control, Docker, Amazon Redshift - **Published:** August 23, 2026 - **Apply:** https://www.themuse.com/jobs/autodesk/data-engineer-d1fb6c?utm_source=uconnect ## About the Role * Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field, or equivalent practical experience * Experience programming in Python, Java, Scala, or a similar language * Strong SQL skills and experience working with relational databases such as MySQL or PostgreSQL * Experience with NoSQL databases such as MongoDB, Cassandra, or similar technologies * Understanding of data modeling, data architecture, and ETL processes * Experience with big data technologies and frameworks such as Kafka, Flink, Parquet, Iceberg, or similar tools * Experience using workflow orchestration or ETL tools such as Apache Airflow * Experience with cloud platforms such as AWS, Azure, or Google Cloud * Familiarity with cloud data services such as AWS Glue, EMR, Redshift, S3, BigQuery, or similar * Experience with data warehousing solutions such as Snowflake, Redshift, or BigQuery * Experience with version control systems such as Git and CI/CD pipelines, * Experience in customer journey analytics, personalization, or digital conversion optimization * Familiarity with machine learning concepts and experience collaborating with data science or machine learning teams * Knowledge of real-time data processing and streaming architectures * Experience with Docker, Kubernetes, or other containerization and orchestration technologies * Relevant certifications in big data technologies, cloud platforms, or database management * Master's degree in Computer Science, Data Engineering, Information Technology, or a related field ## Description We are looking for a Data Engineer to design, build, maintain, monitor, integrate, and test scalable data pipelines in production. In this role, you will partner with Machine Learning Engineering, Platform Engineering, Data Analysts, and other stakeholders to deliver data pipelines that support specific business needs. Your work will contribute to strategic initiatives such as optimizing digital conversion metrics and supporting Autodesk Assistant, an LLM-driven chatbot designed to answer customer inquiries. Our culture is built on collaboration, mutual support, and continuous learning. We encourage hands-on technical problem-solving, knowledge sharing, and ongoing personal development. Responsibilities * Design, build, and maintain scalable data pipelines that support continuous data flow, analytics, and machine learning use cases * Develop and implement data models and schemas to ensure data integrity, accessibility, and usability * Manage and optimize relational and NoSQL database systems for performance and availability * Integrate data from multiple sources while ensuring consistency, quality, and reliability * Design and manage ETL processes to move and transform data across systems * Implement data governance practices to support data security, privacy, and compliance * Collaborate with data scientists, machine learning engineers, analysts, platform engineers, and business stakeholders to understand requirements and deliver effective solutions * Tune database and pipeline performance for efficient processing and querying of large datasets * Maintain clear documentation for data processes, models, architecture, and operational workflows * Partner with internal platform teams to build reliable, scalable, and reusable data solutions ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [AI Model Management Life Circles: ML Ops For Generative AI Models From Research to Deployment](https://www.wearedevelopers.com/videos/1152-ai-model-management-life-circles-ml-ops-for-generative-ai-models-from-research-to-deployment) - [Docker build without Docker](https://www.wearedevelopers.com/videos/100114-docker-build-without-docker) ## Related Articles - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Top-Paying Tech Jobs (with Salaries)](https://www.wearedevelopers.com/magazine/372-top-paying-tech-jobs-with-salaries) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market)