API Data Engineer

Hybrid in New York, NY, US • Posted 1 day ago • Updated 1 day ago
Full Time
No Travel Required
Hybrid
130000 - $150,000/yr
Fitment

Dice Job Match Score™

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Job Details

Skills

  • API
  • Amazon Web Services
  • Python
  • SQL
  • Data Engineering
  • Extract, Transform, Load

Summary

Role: API Data Engineer 

Location : New York, NY or Fort Mill, SC Hybrid

 

 

Job Responsibilities: 

  • 10+ years of experience in software/data engineering, API development, or cloud platform engineering 

  • Work with development teams and stakeholders to deliver technical solutions that enable business capabilities 

  • Design and develop data applications using big data technologies (AWS, Spark) to ingest, process, and analyze large disparate datasets 

  • Build robust data pipelines on the cloud using AWS Glue, Confluent Kafka, Aurora Postgres, EKS, PySpark, Lambda, and Snowflake 

  • Build REST-based data APIs using Python/C#, EKS, and Lambda 

  • Build infrastructure for optimal ETL from various data sources using SQL and AWS big data technologies 

  • Work with data and analytics experts to improve functionality in data systems 

  • Implement architectures to handle large-scale data and its organization 

  • Execute data design and architecture strategies aligned with enterprise standards 

  • Deliver reference architectures outlining principles and best practices for technology advancement 

  • Design and maintain Terraform-based infrastructure using modular patterns, private module registries, and multi-environment state management 

  • Build and maintain GitHub Actions, Octopus , Liquibase CI/CD pipelines for API, data, and infrastructure delivery — including PR validation, Terraform plan gates, and environment promotion 

  • Implement reusable GitHub workflow patterns and integrate with enterprise DevSecOps shared workflows for build, test, deploy, and rollback 

  • Instrument services with Dynatrace for distributed tracing, metrics, and production observability on Lambda and containerized workloads 

  • Define monitoring, alerting, and SLOs in Dynatrace; use APM data for performance tuning, incident response, and reliability improvements 

 

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10476889
  • Position Id: 9076293
  • Posted 1 day ago
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RD

Rahul Dalal

Recruiter @ Incedo Inc
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