NEW JOB OPENING
DATA ENGINEER
IN San Francisco, CA, USA!

Client Location: Onsite in San Francisco, CA



Potential exposure to graphic and/or objectionable content to any extent



*TRAVEL - Potentially a few times a year





EDUCATION



Bachelors required





REQUIRED



- 8+ years of experience in Data Engineering (will accept 6+ DE YoE if resume is otherwise outstanding and supplemented with 2+ non-DE YoE, and can show experience leading a very broad and/or complex scope of work that requires expert-level DE skills)



- Expert-level SQL (Presto, Postgres, MySQL, etc--any form is fine)



- Expert-level Python



- Experience building ETL pipelines



- Expert-level proficiency using pipelining tools (e.g. Airflow, Dataswarm, etc)



- Experience leading DE efforts on large XFN projects with a wide variety of technical and non-technical stakeholders



- Most recent experiences have been as an IC (i.e. not a manager, team lead, TPM, and/or tech lead)



- Expert-level communication



- Due to the technical complexity of the role, we'd ideally like to find someone who has experience working on data warehousing and building (+ leading end-to-end projects to build) high-complexity monitoring



- Successful candidates have Startup / self-employed experience — shows initiative and ability to wear multiple hats



- Big tech NOT preferred - open to candidates from startups, small-to-mid-size companies, or non-tech industries





Nice to Have Skills:



- Experience with remediating data loss





Key Projects:



Senior engineers build tables containing legally relevant information



and develop alerting systems that create tasks or send emails when



issues arise (e.g., unauthorized data modifications)





Building ETL pipelines:



Engineers are responsible for scheduling and querying massive



tables, ensuring efficient data extraction and transformation.





Collaborating with attorneys:



Work closely with attorneys and Data Scientists to understand what



data is needed, where it is located, when it is required, and which



tables are relevant.





Cross-functional collaboration:



Collaborate with various XFN teams to launch new systems and



products. Responsibilities include preparing documentation,



coordinating with multiple stakeholders, developing a plan for system



building, identifying collaborators, and ensuring successful execution.



Job Description:

The main function of the Data Engineer is to develop, evaluate, test and maintain architectures and data solutions within our organization. The typical Data Engineer executes plans, policies, and practices that control, protect, deliver, and enhance the value of the organization’s data assets.



Job Responsibilities:

• Manage data engineering projects through the full cycle.

• Identify and underline business initiatives from a data engineering perspective.

• Design, construct, install, test and maintain highly scalable data management systems.

• Ensure systems meet business requirements and industry practices.

• Design, implement, automate and maintain large scale enterprise data ETL processes.

• Build high-performance algorithms, prototypes, predictive models and proof of concepts.



Skills:

• Ability to work as part of a team, as well as work independently or with minimal direction.

• Excellent written, presentation, and verbal communication skills.

• Collaborate with data architects, modelers and IT team members on project goals.

• Strong PC skills including knowledge of Microsoft SharePoint.



Education/Experience:

• Bachelor's degree in a technical field such as computer science, computer engineering or related field required.

• Process certification, such as, Six Sigma, CBPP, BPM, ISO 20000, ITIL, CMMI.

• **Only those lawfully authorized to work in the designated country associated with the position will be considered.**

• **Please note that all Position start dates and duration are estimates and may be reduced or lengthened based upon a client’s business needs and requirements.**