Remote Data Engineer: Build Enterprise-Scale Data Platforms

Addison Group

West Lake Hills (TX)

On-site

USD 81,000 - 84,000

Full time

2 days ago
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Benefits offered by this job

Medical insurance
Dental insurance
Vision insurance
401(k)

Job summary

Addison Group is seeking a senior data engineer to design and deliver enterprise-scale data platforms using Microsoft Fabric, Azure Data Factory, Synapse, and PySpark. You will build resilient ETL/ELT pipelines, enforce governance, and collaborate with business teams to translate requirements into scalable solutions.

Requirements include a BS in CS/IS/Engineering and 8+ years in data engineering or data warehousing with cloud delivery; strong SQL, Python, APIs, and CI/CD experience.

Qualifications

  • Bachelor's degree in CS/IS/Engineering or related discipline.
  • 8+ years of experience in data engineering, BI, or data warehousing with cloud delivery.
  • Proven experience delivering enterprise-scale data platforms and collaborating across technical and business teams.
  • Strong expertise in SQL/T-SQL, Python, PySpark, Spark SQL, ETL/ELT, data warehousing, dimensional modeling and APIs.

Responsibilities

  • Design and deliver enterprise-scale data platforms.
  • Develop and maintain ETL/ELT pipelines using modern cloud data services.
  • Collaborate with technical and business stakeholders to translate requirements into scalable solutions.
  • Ensure data governance, security, privacy, and regulatory compliance.

Skills

SQL/T-SQL
Python
PySpark
ETL/ELT
Data warehousing
APIs
Git CI/CD
Data governance
Team collaboration
Cloud platforms

Education

Bachelor's degree

Tools

Microsoft Fabric
Azure Data Factory
ADLS Gen2
Azure SQL
Synapse Analytics
Key Vault
Azure Functions
CI/CD tooling

Job description

Addison Group is seeking a senior data engineer to design and deliver enterprise-scale data platforms using Microsoft Fabric, Azure Data Factory, Synapse, and PySpark. You will build resilient ETL/ELT pipelines, enforce governance, and collaborate with business teams to translate requirements into scalable solutions.

Requirements include a BS in CS/IS/Engineering and 8+ years in data engineering or data warehousing with cloud delivery; strong SQL, Python, APIs, and CI/CD experience.

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