Data Engineer

Location(s) US-TX-Richardson
Job ID
Schedule Type
Full Time
Software Engineer
Business Unit
Consumer Tech Project
Employment Type




What We Do

At Goldman Sachs, our Engineers don’t just make things – we make things possible.  Change the world by connecting people and capital with ideas.  Solve the most challenging and pressing engineering problems for our clients.  Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action.  Create new businesses, transform finance, and explore a world of opportunity at the speed of markets.


Engineering, which is comprised of our Technology Division and global strategists groups, is at the critical center of our business, and our dynamic environment requires innovative strategic thinking and immediate, real solutions.  Want to push the limit of digital possibilities?  Start here.


Who We Look For

Goldman Sachs Engineers are innovators and problem-solvers, building solutions in risk management, big data, mobile and more. We look for creative collaborators who evolve, adapt to change and thrive in a fast-paced global environment.


Job Overview


We are looking for a Data Engineer to join our fast growing team. This person will be responsible for expanding and optimizing our current cloud based data pipeline architecture for the various cross functional teams. The ideal candidate has experience building robust data pipelines and reporting tools. However, someone with a strong application development background with keen interest in data engineering would be considered. The candidate will be collaborating extensively with Engineering, Analytics and Product teams to support functional use-cases and take data driven decisions.

Who we are looking for

  • Strong background in data processing & software engineering and can build high-quality, scalable data oriented products.
  • Industry experience working with distributed data technologies (e.g. Hadoop, MapReduce, Spark, EMR, etc..) for building efficient, large-scale data pipelines.
  • Strong Software Engineering experience with in depth understanding of Python, Scala, Java or equivalent
  • Strong understanding of data architecture, modeling and infrastructure
  • Experience with building workflows (ETL pipelines)
  • Experience with SQL and optimizing queries
  • Problem solver with attention to detail who can see complex problems in the data space through end to end
  • Willingness to work in a fast paced environment
  • MS/BS in Computer Science or relevant industry experience.

Strongly recommended (but optional)

  • Experience building scalable applications on the Cloud (Amazon AWS, Google Cloud, etc..)
  • Experience building stream-processing applications (Spark streaming, Apache-Flink, Kafka, etc..)



At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world.

We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at

We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more:

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Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity