Recruiting From Scratch

Data Engineer (Remote in US)

Job description

Who is Recruiting from Scratch:

Recruiting from Scratch is a premier talent firm that focuses on placing the best product managers, software, and hardware talent at innovative companies. Our team is 100% remote and we work with teams across the United States to help them hire. We work with companies funded by the best investors including Sequoia Capital, Lightspeed Ventures, Tiger Global Management, A16Z, Accel, DFJ, and more.

If you are a fit, the team will reach out to you about this role or any others that may be a fit for our clients.

Our Client

This role is for one of our client companies, but we also have roles at several other companies for data engineering roles that are 100% remote.

Our client provides the most comprehensive source of global decision-making data in the world. Their tools allow individuals and organizations to discover, visualize, model, and present their data and the world’s data to facilitate better decisions and better outcomes. They are used by more than half a million people worldwide every month.

The client is looking for a savvy Data Engineer to join our growing team of analytics experts. The hire will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. The Data Engineer will support our software developers, database architects, data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. They must be self-directed and comfortable supporting the data needs of multiple teams, systems and products. The right candidate will be excited by the prospect of optimizing or even re-designing our company’s data architecture to support our next generation of products and data initiatives.

The Role / Responsibilities

  • Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases
  • Experience building and optimizing ‘big data’ data pipelines, architectures and data sets
  • Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement
  • Strong analytic skills related to working with unstructured datasets
  • Build processes supporting data transformation, data structures, metadata, dependency, and workload management
  • A successful history of manipulating, processing and extracting value from large disconnected datasets
  • Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores
  • Strong project management and organizational skills
  • Experience supporting and working with cross-functional teams in a dynamic environment

Qualifications

  • 3-7 years of experience
  • Experience building and optimizing ‘big data’ data pipelines, architectures, and data sets
  • 4+ years of hands-on experience working in data warehousing, data architecture and/or data engineering environments at an enterprise scale
  • 4+ years of SQL, MySQL, No-SQL, AWS Redshift, Hive, Snowflake development experience
  • 4+ years of experience with schema design and dimensional data modeling
  • 3+ years of Python, Pandas, NumPy programming experience
  • 3+ years working experience on Map Reduce, Big-Data processing frameworks
  • Experience in custom or structured (ie. Informatica/Talend/Pentaho/Fivetran) ETL design, implementation and maintenance
  • Strong experience writing complex SQL queries
  • Experience implementing operational best practices such as monitoring, alerting, metadata management
  • BS or MS degree in Computer Science or a related technical field
  • Excellent written and verbal communication skills
  • Understanding business needs while being client-focused
  • Going the distance to make projects a success
  • A willingness to take on new responsibilities
  • Eager to get their hands on new technologies

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