Data Engineer

DevSelect

$90K — $130K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 4+ years in Python development and database management on Linux
  • Expertise in relational database architecture and SQL; Azure and Neo4j experience preferred
  • Experience developing RESTful APIs
  • Familiarity with distributed computing (Spark or similar)
  • Ability to guide on data security issues
  • Proficient in writing clear documentation for projects
  • Strong communication and interpersonal skills
  • Experience mentoring junior developers

Responsibilities

  • Build and manage data acquisition services
  • Conduct data mining and web scraping
  • Clean and organize data into SQL and NoSQL databases
  • Develop efficient APIs for data communication
  • Manage ongoing data ingestion processes

Benefits

  • Permanent hire position
  • Opportunity to work with cloud architecture
  • Potential involvement in machine learning and data science
  • Exposure to various SDLC tools and processes
  • Work in a collaborative software team environment
Full Job Description
Title: Data Engineer
Location: Chicago, Ill
Openings: 1
Type: Permanent hire


The Client is searching for an experienced data engineer. This person will be responsible for building and managing an array of data acquisition services. The Ideal candidate will demonstrate experience with software development lifecycles, working with cloud architecture, and development within a software team.

Responsibilities include data mining, web scraping, cleaning and organizing the data into both SQL and NoSQL databases. Further responsibilities will include building efcient APIs to communicate the data and managing continual data ingestion.

Required Job Qualifications:
• At least 4 years experience with python development and database management in a Linux environment
• Expertise in relational database architecture and efcient SQL. Experience with managing databases in Azure is a plus as well as Neo4j graph databases.
• Development of RESTful APIs
• Distributed computing (Spark or similar)
• Ability to provide guidance on data security issues
• Writing and maintaining clear and reproducible documentation for all services and projects will be required.
• Strong general communication and interpersonal skill
• Capable of providing guidance to junior developers
Preferred Job Qualifications:
• Experience in machine learning and general data science
• Data visualization
• Understanding of the healthcare industry
• Azure, Google, AWS or other cloud-platform experience
• SDLC Tools & Processes: JIRA, Docker, Git-flow, Puppet, or similar

Education Requirements:
• B.Sc. in Computer Science, Engineering, or related field.

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