Data Engineer (Analytics)

Prosum; Scottsdale (AZ); On-site; USD 100,000 - 130,000; Full time

Benefits offered by this job

Medical insurance

Vision insurance

401(k)

Disability insurance

Job summary

A staffing and recruiting firm is seeking a Data Engineer in Scottsdale, Arizona, responsible for modernizing data science tools and developing data infrastructure. The ideal candidate will have expertise in SAS, Spark, Python, and Hive SQL. This mid-senior level role focuses on guiding data scientists, writing software tools, and ensuring data integrity. Competitive benefits include medical insurance and a 401(k) plan.

Qualifications

• Experience with SAS and ability to convert in Spark and Python.
• Proficiency in Hive SQL and Spark.
• Experience with building reusable frameworks for data ingestion.

Responsibilities

• Write data infrastructure and analytics software tools for Data Science.
• Guide Data Scientists on best practices.
• Modernize existing SAS and Hive SQL codebase.
• Instrument data feeds for observability and monitoring.
• Develop shared resources for automated profiling and analysis tools.
• Write documentation for long-term support.
• Support risk management and data integrity.

Skills

SAS

Spark

Python

Hive SQL

Machine Learning toolkits

Hadoop

AWS/S3

Job description

Direct message the job poster from Prosum

Applicants must have the legal right to work in the United States without sponsorship for employment visa status. C2C PLEASE DO NOT APPLY.

This role is responsible for building and modernizing Data Science Tools and Data Assets in Scottsdale, Arizona. They are not open to relocation at this time.

Qualifications:

• Experience with SAS and ability to convert in Spark and Python.
• Hive SQL
• Spark
• Machine Learning toolkits in Python/Spark
• Building reusable frameworks for data ingestion and storage in Hadoop or AWS/S3

Responsibilities:

• 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.
• Support the company’s commitment to risk management and protecting the integrity and confidentiality of systems and data.

Seniority level

• Mid-Senior level

Employment type

• Contract

Job function

• Information Technology

Industries

• Staffing and Recruiting

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Inferred from the description for this job

Medical insurance

Vision insurance

401(k)

Disability insurance

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