Big Data Engineer

VACO LLC
Nashville, TN, United States
about 1 month ago

Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Compensation
$128,960.0
Working hours
Regular working hours
Languages
English
Job source

Tech stack

Artificial Intelligence Airflow Amazon Web Services Microsoft Azure Big Data Cloud Computing Data as a Services Data Integration Extract Transform Load (ETL) Hadoop Distributed File System Python (Programming Language) PostgreSQL
+8 more
Microsoft SQL Server Enterprise Data Management Google Cloud Cloud Platform System Sql Optimization Kubernetes Health Level Seven International Docker

Job description

This is a newly created position supporting an expanded data services initiative. The team is growing its enterprise data capabilities and needs an experienced engineer to help scale cloud-based data platforms and support increasing business demand.

What You’ll Do

  • Build and support cloud-based data solutions
  • Develop and maintain data pipelines using Python
  • Design ETL processes for large and complex data sets
  • Integrate new data sources into enterprise data platforms
  • Partner with data scientists, analysts, and business stakeholders
  • Support AI/ML-related data initiatives
  • Troubleshoot production issues and support ongoing operations
  • Mentor junior developers and provide technical guidance, Vaco by Highspring and its parents, affiliates, and subsidiaries (ā€œwe,ā€ ā€œour,ā€ or ā€œVaco by Highspringā€) respects your privacy and are committed to providing transparent notice of our policies.
  • California residents may access Vaco by Highspring HR Notice at Collection for California Applicants and Employees here.
  • Virginia residents may access our state specific policies here.
  • Residents of all other states may access our policies here.
  • Canadian residents may access our policies in English here and in French here.
  • Residents of countries governed by GDPR may access our policies here.

Requirements

  • Strong Python development experience
  • Experience with ETL and data integration
  • Cloud experience with GCP, AWS, or Azure
  • Advanced SQL skills (SQL Server or PostgreSQL)
  • Experience working with large-scale data environments
  • Ability to work independently and drive projects forward

Nice to Have

  • Google Cloud Platform (GCP)
  • HDFS or other big data technologies
  • Kubernetes
  • Docker
  • Dagster
  • AI/ML experience
  • Healthcare or supply chain experience
  • HL7 integrations

Benefits & conditions

Determining compensation for this role (and others) at Vaco by Highspring depends upon a wide array of factors including but not limited to:

  • the individual’s skill sets, experience and training;
  • licensure and certification requirements;
  • office location and other geographic considerations;
  • other business and organizational needs.

With that said, as required by local law, Vaco by Highspring believes that the following salary range referenced above reasonably estimates the base compensation for an individual hired into this position in geographies that require salary range disclosure. The individual may also be eligible for discretionary bonuses.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.indeed.com

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