SQL & Azure Data Factory developer

Thinkbyte Consulting, Inc.
Philadelphia, United States of America
5 days ago

Role details

Contract type
Temporary to permanent
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 156K

Job location

Remote
Philadelphia, United States of America

Tech stack

API
Data analysis
Azure
Batch Processing
Cloud Database
Information Systems
Databases
Computer Engineering
Data Architecture
Information Engineering
Data Infrastructure
ETL
Data Systems
Database Development
SQL Stored Procedures
SQL Databases
T-SQL
Enterprise Data Management
Data Processing
Azure
Information Technology
Api Design
Data Pipelines

Job description

Our Greater Philadelphia area client is looking for a Senior Azure & Data Factory Developer for a permanent role by way of 6 month contract-to-hire.This team is looking for a powerhouse SQL/ADF expert who brings sharp thinking, high energy, and enterprisegrade data engineering to every project., Senior-level SQL & Azure Data Factory developer (contract-to-hire) Lead development of data solutions, pipelines, and API-driven database components Drive highvolume data processing and enterprise data architecture efforts

Requirements

Strong presence: high energy, clear communicator, sharp analytical mindset 5+ years hands-on SQL development with stored procedures and largescale batch processing Proven experience designing and delivering enterprise data platforms Building and maintaining Azure Data Factory pipelines Creating and deploying databasehosted APIs Data analysis, transformation, and ETL expertise Must be eligible for direct hire without sponsorship

Bonus Skills

Broader experience across cloud data ecosystems Additional exposure to advanced data modeling or automation tooling Familiarity with modern data integration patterns Key Responsibilities & Skills

  • Enterprise Data Architecture
  • Azure Data Factory Pipeline Development
  • SQL Development (Stored Procedures & Batch Processing)
  • High-Volume Data Processing
  • API-Driven Database Development
  • Data Analysis & Transformation (ETL)
  • Data Platform Design & Delivery
  • Cloud Data Ecosystem Expertise

Technical Skills

  • SQL / T-SQL
  • Azure Data Factory
  • Azure Cloud Services
  • REST / API Development
  • Data Modeling
  • ETL Tools

Education

Bachelor's Degree in Computer Science, Information Systems, Data Engineering, Computer Engineering, Business Informatics. Preferred: Master's in Data Science, Master's in Computer Science, MBA. Industry Experience

  • Healthcare / Health Insurance
  • Enterprise Data Platforms
  • Cloud Data Engineering
  • Insurance Analytics

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