6 data infrastructure engineer jobs at 4 companies in Seffner, FL
3w
Save
Mark Applied
Hide
3w
Principal Marketing Data Ops Engineer II
Bethesda or Getzville or New York City or Beachwood or Indianapolis or Tucson or Tampa or Chicago or Fredericksburg or Melville
HybridFull Time
GEICO: Provides vehicle and property insurance services to consumers.
7+ YOE7+ years building data pipelines in Python/Scala, 7+ years SQL with enterprise warehouses, 5+ years ETL/ELT and cloud infrastructure experience (Azure/AWS/GCP); BA/BS preferred.
Python, Scala, SQL, Snowflake, Databricks, Azure, AWS, GCP, Azure Data Factory, Microsoft Dynamics, Statsig, REST API
ID.me: Provides secure digital identity verification and authentication services.
3+ YOEBachelor's degree in a technical field; 3–5 years in SRE, DevOps, or infrastructure engineering; cloud experience; and 1+ year with a modern programming language.
The Walt Disney CompanyNYSE: DIS: Produces movies, operates theme parks, and provides streaming services.
10+ YOE10+ years experience; Bachelor’s degree or equivalent; deep expertise in Flutter, mobile native (iOS/Android), Java, Angular, Node.js, RESTful API design, on-premise infrastructure, data standardization, and microservices; strong leadership and communication.
The Walt Disney CompanyNYSE: DIS: Produces media content and operates global theme parks.
10+ YOE10+ years experience; expertise in Flutter, mobile native (iOS/Android), Java, Angular, Node.js, RESTful APIs, on-premise infrastructure, data standardization, and microservices; strong communication and leadership; Bachelor's degree or equivalent.
Appnovation: Digital consultancy providing strategy, design, and software engineering services.
8+ YOEBachelor's in Computer Science or Engineering,8+ years data engineering experience,expertise in ETL/ELT,data modeling,cloud-native architectures,Infrastructure as Code,CI/CD,SRE,and AI/MLOps readiness.
Appnovation: Digital consultancy providing strategy, design, and software engineering services.
8+ YOE8+ years delivering complex data engineering projects; cloud-native data infrastructure, ETL/ELT, IaC, CI/CD, data modeling, SRE practices, AI/MLOps readiness, and strong communication skills.
ETL/ELT, AWS, Azure, GCP, Terraform, CloudFormation, CI/CD, SLOs/SLIs, AI