Title: Cloud Engineer (Data Engineer) 
Primary Location: San Francisco, CA  
Other Location(s): Salt Lake City, UT or Los Angeles, CA or Seattle, WA or Portland, OR or Phoenix, AZ 
 
At this time our client is looking for a Cloud Engineer to join the Advanced Data and
Analytics Capabilities Team. We are a team based out of San Francisco that partners with business lines
to deliver big data and advanced analytics products and solutions. In
this role, you will have the opportunity to contribute to several high-quality data solutions and enhance
your technical skills across many disciplines. We employ state of the art technologies that are part of the
Hadoop ecosystem, which includes tools used for data integration, data modeling, and data analytics.
You will have an opportunity to apply your critical thinking and technical skills across many disciplines. 
 
In this role, you will contribute to high quality technology solutions that address business needs by
developing solutions for the platform or applications for the customer business lines. You should have
strong communication skills as you will work closely with other groups, including development and
testing efforts of your assigned application components to ensure the successful delivery of the project. 

 Responsibilities: 
• Design, develop, and maintain end to end data solutions using open source, modern 
data lake, and enterprise data warehouse technologies (Hadoop, Spark, Cloud, etc.) 
• Contribute to multiple data solutions throughout their entire lifecycle (conception to
launch) 
• Partner with business stakeholders to understand and meet their data requirements  
• Design, build, and maintain machine learning data pipelines 
• Maintain security in accordance with Bank security policies 
• Participate in an Agile development environment 
• Develop code in Big Data environments using Java/Python etc.  
• Lead and communicate to technical and business product managers, as well as third
parties, on solution design 
• Act as a role model, thought leader, and change management for new software and
technology throughout the company 
• Work on multiple projects as a technical team member or lead driving elaboration,
design and development of software 
• Collaborate with Developers, DevOps, Release Management and Operations 
Maintain security in accordance with Bank security policies 
Participate in an Agile development environment by attending daily standups and sprint
planning activities 
• Develop, execute, and document unit test plans and support application testing 
• Provide operational support for applications and utilities 
Tackle issues and participate in defect and incident root cause analyses 
• Assist in the deployment of new modules, upgrades, and fixes to the production
environment 
• Independently determine methods and procedures on new assignments, and may
provide work direction to others  

 
Qualifications: 
• Bachelors degree in Computer science, Information Systems, or other related field or
relevant work experience 
• 5+ years data engineering and programming skills in Java and/or Python, including
knowledge of Big Data ecosystem 
• Experience with the Hadoop ecosystem including HDFS data distribution, processing,
workflow, Hive/Impala/Spark/Oozie 
• Experience programming and scripting on UNIX / Linux. (i.e. Python or Bash) 
• Experience with CTRL-M, Cron and scheduling of batch jobs 
• Experience performing operational support 
• Passion for technology and data, a critical thinker, problem solver and a self-starter  
• Strong quantitative and analytical skills  
• Ability to communicate effectively (both verbal and written) and work in a team
environment 
• Ability to balance multiple assignments and shift gears when new priorities arise 
• Familiar with Agile methodologies 
• Must be a U.S Citizen or Green Card holder with intent to become U.S. Citizen 
Nice to have: 
• Working experience at Government or quasi-Government organizations 
Cloud experience and using big data technologies on the Cloud 
• Professional experience optimizing machine learning workflows and maintaining data
pipelines 
• Hands-on experience with a variety of big data (Hadoop / Cloudera, Cloud, etc.) and
machine learning (Spark, AWS SageMaker, etc.) technologies

Please Reach out for additional Details and information about this role and the company, we look forward to hearing from you