Python)

TalentOla•Irving, TX

4d•Hybrid

About The Position

We are seeking a strong Azure Data Engineer / Senior Software Engineer with expertise in Python, Databricks, SQL, Elasticsearch, Kafka, and Azure. This role is responsible for building scalable search platforms, REST APIs, event-driven data pipelines, and cloud-native distributed systems that support high-volume enterprise applications. The ideal candidate has strong backend engineering experience with cloud-native architectures, search technologies, REST APIs, event streaming, and large-scale data processing.

Requirements

7+ years of software engineering experience.
Strong Python backend development experience.
Experience designing and operating production REST APIs.
Strong experience with Elasticsearch in production environments.
Experience building scalable search platforms.
Experience with Kafka or enterprise event-streaming platforms.
Experience deploying applications on Microsoft Azure.
Experience with CI/CD pipelines and automated deployments.
Experience troubleshooting production systems and performance issues.
Strong understanding of distributed systems and microservices.
Programming Python
SQL
REST APIs
JSON
Cloud Microsoft Azure
Azure App Services
Azure Linux VMs
Azure Storage
Azure Monitor
Azure Event Hub
Elasticsearch Query DSL
Relevance tuning
Mapping design
Aggregations
Multi-search (msearch)
Bulk indexing
Search optimization
Index lifecycle management
Apache Kafka Confluent Cloud Producers / Consumers
Kafka Connect
Schema Registry
Event-driven architecture
Data Engineering
Databricks
PySpark
Delta Lake
Data ingestion pipelines
ETL/ELT
DevOps Git
Azure DevOps
Azure Pipelines CI/CD
Docker
Databases PostgreSQL
SQL Server
Relational Databases

Nice To Haves

FastAPI
Async Python
Azure Container Apps / AKS
Azure Managed Identity
Azure Key Vault
Infrastructure as Code (Terraform or Pulumi)
Experience with AI-assisted search or intelligent matching platforms.
Experience with Databricks and Delta Lake.
Experience with machine learning integration.
Experience with semantic search or vector search.
Experience with Azure OpenAI or LLM integration.
Healthcare or supply chain experience.
Experience using GitHub Copilot or Codex.

Responsibilities

Design, build, and support the enterprise search and intelligent matching platform.
Develop scalable APIs, high-performance search capabilities, event-driven data pipelines, and cloud-native services supporting millions of transactions daily.
Work across Azure, Elasticsearch, Kafka, Databricks, Python, and distributed systems to build highly available, low-latency applications.
Design and develop scalable backend services using Python.
Build and maintain REST APIs supporting enterprise applications.
Design and optimize Elasticsearch indexes, queries, mappings, and search relevance.
Develop intelligent search and matching capabilities for large-scale datasets.
Build event-driven architectures using Kafka and Azure Event Hub.
Design high-throughput data ingestion and indexing pipelines.
Integrate applications with Databricks and enterprise data platforms.
Develop secure cloud-native applications on Microsoft Azure.
Implement CI/CD pipelines and automated deployment processes.
Monitor application health, logging, observability, and production performance.
Optimize API response time, indexing performance, and infrastructure utilization.
Participate in architecture, design reviews, code reviews, and production support.
Collaborate with product managers, architects, data scientists, and engineering teams.