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Sr. Software Engineer, Data Products

Autodesk

Sr. Software Engineer, Data Products

Autodesk

San Francisco, CA, USA

·

On-site

·

Full-time

·

3w ago

필수 스킬

Python

Java

SQL

AWS

Terraform

Spark

Airflow

Job Requisition ID

26WD94565

Position Overview

Autodesk is seeking a Senior Software Developer to join the Enterprise Data Engineering & Visualization (EDEV) team. This team builds scalable data solutions that enable seamless interaction with the Autodesk data platform, supporting ML & analytics use cases that drive business insights.

These solutions serve as foundational tools for data engineers, data scientists & analysts across the organization. The team also leads data engineering best practices, helping make data central to decision-making.

This role partners closely with Product, Program, Architecture, Operations & Engineering teams to deliver modern, scalable & reliable data solutions. Strong communication skills are key, with the ability to translate complex technical concepts for both technical & non-technical audiences.

Location: Hybrid, San Francisco Bay Area
Reporting to: Senior Software Development Manager (US)

Responsibilities:

  • Design, architect & build secure, scalable data solutions for analytics & ML use cases

  • Develop micro-frontends & APIs to automate complex workflows

  • Build & optimize data pipelines using SQL, Python, Spark, Py Spark, Flink & Java

  • Implement CI/CD pipelines for batch & streaming data processing

  • Design & maintain systems for data collection, transformation, testing & publishing

  • Partner with DevOps & support teams to troubleshoot performance & code issues

  • Define & promote architecture standards, best practices & quality frameworks

  • Implement data quality, monitoring & durability tracking across pipelines

  • Design data schemas & models for consistency & performance

  • Collaborate with architects on APIs, data models & system design

  • Establish & evangelize coding standards across the data community

  • Automate data transformations across product usage logs & business systems

Minimum Qualifications

  • 5+ years of experience with cloud-based ETL/ELT & real-time data processing

  • 3+ years experience in data modeling & schema design for optimized retrieval

  • Strong programming experience with SQL, Python, Spark, Py Spark, Spark SQL & Java

  • Experience with big data ecosystems (Hadoop, Hive, Spark, Presto)

  • Experience designing & implementing data testing frameworks

  • Experience with workflow orchestration tools (Airflow, Temporal)

  • Strong foundation in distributed systems, algorithms & SDLC

  • Experience building REST APIs (Python, preferably Flask)

  • Experience with cloud infrastructure (AWS preferred)

  • Experience with Infrastructure as Code (Terraform preferred)

  • Experience building CI/CD pipelines (Jenkins, Spinnaker)

  • amiliarity with data governance, Agile & modern data practices

Learn More

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!

Benefits

From health and financial benefits to time away and everyday wellness, we give Autodeskers the best, so they can do their best work. Learn more about our benefits in the U.S. by visiting https://benefits.autodesk.com/

Salary transparency

Salary is one part of Autodesk’s competitive compensation package. For U.S.-based roles, we expect a starting base salary between $117,000 and $209,330. Offers are based on the candidate’s experience and geographic location, and may exceed this range. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package.

Equal Employment Opportunity

At Autodesk, we're building a diverse workplace and an inclusive culture to give more people the chance to imagine, design, and make a better world. Autodesk is proud to be an equal opportunity employer and considers all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender, gender identity, national origin, disability, veteran status or any other legally protected characteristic. We also consider for employment all qualified applicants regardless of criminal histories, consistent with applicable law.

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).

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Autodesk

Autodesk

Public

Autodesk, Inc. is an American multinational software corporation that provides software products and services for the architecture, engineering, construction, manufacturing, media, education, and entertainment industries.

10,001+

직원 수

San Francisco

본사 위치

$50B

기업 가치

리뷰

3.0

3개 리뷰

워라밸

3.0

보상

2.5

문화

2.8

커리어

3.2

경영진

2.5

35%

친구에게 추천

장점

Strong brand recognition in industry

Career advancement opportunities

Promotion to leadership roles

단점

Lower compensation packages

Poor location/undesirable area

Exclusion from decision-making processes

연봉 정보

929개 데이터

Junior/L3

Mid/L4

Senior/L5

Junior/L3 · Associate Business Intelligence Analyst

2개 리포트

$131,955

총 연봉

기본급

$101,504

주식

-

보너스

-

$131,955

$131,955

면접 경험

2개 면접

난이도

3.0

/ 5

소요 기간

14-28주

합격률

50%

면접 과정

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Onsite/Virtual Interviews

5

Team Matching

6

Offer

자주 나오는 질문

Coding/Algorithm

Technical Knowledge

Behavioral/STAR

Past Experience

Culture Fit

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