EEOC

Analytics Data Engineer – Contract

EEOC

contract

Posted on:

Location Type: Hybrid

Location: San Francisco • California, Illinois, New York • 🇺🇸 United States

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Job Level

JuniorMid-Level

Tech Stack

AWSHadoopPythonSparkSQL

About the role

  • Write data infrastructure & analytics software tools for Data Science
  • Guide Data Scientists on best practices in software engineering
  • Modernize existing SAS and Hive SQL codebase to higher performance structures leveraging parallel computing capabilities
  • Instrument data feeds for observability, profiling, and monitoring
  • Develop shared resources to support Data Science work such as automated profiling and analysis tools
  • Write detailed, complete, and enduring documentation to enable long term support

Requirements

  • Bachelor’s degree
  • Spark experience
  • Hive SQL knowledge
  • Software/data engineering in Python
  • Machine Learning toolkits in Python/Spark
  • Building reusable frameworks for data ingestion and storage in Hadoop or AWS/S3
  • Relational databases knowledge including optimizing/tuning queries, indexing, partitioning, etc.
  • SAS knowledge and ability to convert from SAS to Python
Benefits
  • Hybrid work model for collaborative environment

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
PythonSparkHive SQLMachine LearningHadoopAWSS3SASdata engineeringrelational databases
Soft skills
guidancebest practicesdocumentation
Certifications
Bachelor’s degree