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  • Emplois similaires à : Data Engineer - GCP & API Pipelines (Remote/Hybrid)
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Big Data Engineer - Nashville, TN - Hybrid Preferred / Remote acceptedStellent IT LLC • Nashville, Tennessee, United States
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Big Data Engineer - Nashville, TN - Hybrid Preferred / Remote accepted

Stellent IT LLC
  • US
    Nashville, Tennessee, United States
  • US
    Nashville, Tennessee, United States
Postuler Maintenant

À propos

Big Data Engineer Contract - W2
Nashville, TN - Hybrid Preferred / Remote accepted
JD:
TOP 3 Rank Ordered:
1. Python development – hands‑on, production‑level; core language for all pipeline and application work. 2. Cloud Technology/HDFS big data ecosystem experience – bringing data sources into GCP, transforming and loading to databases; ETL at scale. 3. Microsoft SQL or Postgres (advanced features) – strong development experience required, not just querying familiarity.
Nice to have:
Kubernetes exp Dagster
It's replacing their current pipeline orchestration setup It runs on Azure Kubernetes Service (AKS) , so Docker/Kubernetes experience pairs well with it It's a newer, niche platform –he doesn’t expect candidates to have it, but said if you come across someone with Dagster experience, "that’d be somebody I’d be interested in meeting with" Not a hard requirement, but a significant differentiator
The Data Management team needs a senior‑level engineer who can operate independently, design and build GCP‑based data solutions, and mentor junior developers –all within a fast‑paced, matrixed Agile environment. The team is scaling its enterprise data capability and needs someone who can own technically complex work end‑to‑end with minimal supervision.
Who is the internal customer that this role is ultimately supporting:
Data scientists, business analysts, and IT and business leaders across the enterprise who rely on structured, semi‑structured, and unstructured data pipelines for analysis, reporting, and AI/ML use cases.
Differentiators for the opportunity:
Fully remote if need be. Onsite preferred. Note* if remote, no chance of conversion.
High‑visibility enterprise role – this person sets technical direction for a group of applications and shapes the GCP data architecture across the organization.
AI/ML integration scope – not just plumbing data; this role analyzes business requirements and designs AI/ML‑based solutions, giving strong engineers a path to meaningful, cutting‑edge work.
Overview Build and support a GCP‑based ecosystem for enterprise‑wide analysis of structured, semi‑structured, and unstructured data.
Bring new data sources into GCP/HDFS, transform and load to databases.
Design, develop, deploy, and support software systems with minimal supervision.
Analyze requirements and design AI/ML‑based solutions; integrate those solutions for customer environments.
Support regular data movement between clusters; manage production support SLAs.
Collaborate with data scientists, business analysts, and IT/business leaders to understand data needs and use cases.
Lead and mentor junior developers; take responsibility for technically robust, end‑to‑end solutions.
Work within Agile practices and principles across a mixed consultant/employee team.
Requirements
Bachelor's degree in Computer Science, Software Engineering, or related field.
Production‑level Python development experience.
Strong experience with ETL processes or analytics/reporting applications.
Experience with Microsoft Azure or AWS (GCP is the primary platform in use).
Advanced Microsoft SQL or Postgres development experience.
Solid expertise developing modern, scalable applications.
Preferred
GCP / HDFS big data ecosystem experience (active platform – strong differentiator).
AI/ML solution design and integration.
HL7 or other healthcare integration experience.
Supply chain or healthcare industry background.
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  • Nashville, Tennessee, United States

Compétences linguistiques

  • English
Avis aux utilisateurs

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