Data Engineer II - 243987

Medix Technology

Chicago (IL)

Remote

USD 130,000 - 160,000

Full time

14 days+
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Benefits offered by this job

Medical insurance
Vision insurance
401(k)
Paid maternity leave
Paid paternity leave
Tuition assistance
Student loan assistance
Disability insurance

Job summary

A technology firm is seeking a Data Engineer to design and maintain data pipelines within the healthcare sector in Chicago. The ideal candidate will have over four years of experience, specifically in creating automated ETL processes using modern tools such as Python and Snowflake SQL. This full-time role focuses on optimizing the integration of large-scale healthcare data processes and requires strong AWS proficiency and effective communication skills.

Qualifications

  • A minimum of 4 years of professional experience in a data-focused role.
  • Proven experience creating automated ETL processes using Python, Snowflake, and SQL.
  • A demonstrable and deep understanding of healthcare or healthcare claims data.

Responsibilities

  • Develop and maintain production-level ETL pipelines using Python and Snowflake SQL.
  • Write and integrate data unit tests throughout the development and deployment of data pipelines.
  • Utilize AWS services and technologies to deploy applications for data APIs.

Skills

Data processing
Python
Snowflake SQL
AWS services
Data validation
Verbal communication
Written communication

Education

4 years of experience in data-focused role

Job description

This range is provided by Medix Technology. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$130,000.00/yr - $160,000.00/yr

Direct message the job poster from Medix Technology

Recruitment Advisor II, Information Technology at Medix

Remote

W2 Only, No Sponsorship Available

Full - Time $135,000 - $160,000/year

Position Summary

We're looking for a skilled Data Engineer to join our team. This role is responsible for the design and maintenance of various data pipelines and integration platforms, with a focus on optimizing processes to ingest large-scale enterprise healthcare data. You'll play a key role in building novel data pipelines and supporting existing software using a variety of modern tools.

Key Responsibilities

  • Develop and maintain production-level ETL pipelines using Python and Snowflake SQL.
  • Write and integrate data unit tests throughout the development and deployment of data pipelines.
  • Utilize AWS services and technologies to deploy applications for data APIs.
  • Perform data processing, validation, and debugging on large datasets exceeding 1GB.
  • Build and maintain robust, production-grade ETL pipelines.

Required Qualifications

  • A minimum of 4 years of professional experience in a data-focused role.
  • Proven experience creating automated ETL processes using Python, Snowflake, and SQL.
  • A demonstrable and deep understanding of healthcare or healthcare claims data.
  • Proficiency with AWS frameworks such as S3, DynamoDB, Batch, and Step Functions.
  • Experience with processing and validating large datasets.
  • Excellent verbal and written communication skills.
Seniority level
  • Seniority level
    Mid-Senior level
Employment type
  • Employment type
    Full-time
Job function
  • Job function
    Information Technology
  • Industries
    IT Services and IT Consulting and Real Estate

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Inferred from the description for this job

Medical insurance

Vision insurance

401(k)

Paid paternity leave

Paid maternity leave

Tuition assistance

Student loan assistance

Disability insurance

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