Data Engineer

Requires Master’s degree (or foreign equivalent) in Information Management, Computer Science, Engineering, or a related field and 12 months of experience in the job offered or in a related occupation.
Requires experience must include 12 months involving the following: 1. Coding in C, C++, C#, Python, or Java 2. Python, PHP, or Haskell 3. Relational databases and SQL 4. Software development tools: Code editors (VIM or Emacs), and revision control systems (Subversion, GIT, or Perforce) 5. Core web technologies: HTML, CSS, or JavaScript 6. Building highly-scalable performant solutions 7. Data processing, programming languages, databases, networking, operating systems, computer graphics, or human-computer interaction 8. Applying algorithms and core computer science concepts to real world systems as evidenced by recognizing and matching patterns from different areas of computer science in production systems 9. Designing and completing medium to large software features independently without guidance.

Design, build, and launch data pipelines to move data across systems and build the next generation of data tools that generate business insights for a product.
Analyze user needs and software requirements to determine workability and to offer support for end users on data usage.
Design, architect, and develop software and data solutions that help product and business teams make data-driven decisions.
Rethink and influence strategy and roadmap for building efficient data solutions and scalable data warehouse plans.
Design, develop, test, and launch new data models and processes into production, and provide support.
Leverage homegrown extract, transform, and load (ETL) framework as well as off-the-shelf ETL tools, as appropriate.
Interface closely with data infrastructure, product, and engineering teams to build and extend cross platform ETL and reports generation framework.
Identify data infrastructure issues and drive to resolution.

No preferred qualifications provided.