Data Engineer

Experis (Austria)

Arizona

Remote

USD 110,000 - 150,000

Full time

4 days ago

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Benefits offered by this job

Medical and Prescription Drug Plans

Dental Plan

Vision Plan

Health Savings Account

Health Flexible Spending Account

Dependent Care Flexible Spending Allow

Job summary

Experis is seeking a Remote Data Engineer for the Data & Analytics organization. You will design, build, and implement scalable cloud data solutions, including data pipelines and data models, while partnering with stakeholders to deliver reliable and secure enterprise data assets.

The role emphasizes collaboration with business stakeholders to translate requirements into technical designs, and ensuring data products align with architecture standards and governance, supporting scalable, reusable

Qualifications

Minimum seven years of recent experience designing and delivering enterprise data solutions.
Bachelor’s degree from an accredited college or university required.
Deep knowledge and hands-on experience designing and implementing end-to-end data solutions across cloud data platforms, including hands-on expertise with the Azure data stack (Databricks, Unity Catalog).
Proven proficiency architecting data models and developing complex data pipelines using Python/Spark and SQL.
Experience with code management and deployment using Git repositories and CI/CD processes, along with understanding of data consumption platforms and analytics tools such as Power BI and the Power Platform.

Responsibilities

Design, develop, and implement scalable data solutions across cloud-based data platforms, leading technical execution from solution design through deployment to meet performance, security, reliability, and service-level requirements.
Build, optimize, and support resilient data pipelines for efficient ingestion, transformation, and delivery of data assets; troubleshoot and resolve complex data integration, performance, and quality issues.
Develop and maintain logical and physical data models supporting reporting, analytics, and business operations by defining data structures, relationships, and integration approaches for enterprise analytical needs.
Collaborate with business stakeholders, analysts, and architects to translate business requirements into technical designs, prioritize data delivery activities, and manage solution dependencies.
Ensure alignment of data models, pipelines, and data products with established architecture standards and governance requirements, supporting reusable data assets and frameworks that improve scalability and consistency.

Skills

Stakeholder collaboration

Data modeling

Data pipeline design

Education

Bachelor’s degree

Tools

Azure

Databricks

Unity Catalog

Python

Spark

SQL

Git

CI/CD

Power BI

Power Platform

Job description

Experis is seeking a Remote Data Engineer for the Data & Analytics organization. In this role, you will design, build, and implement scalable cloud data solutions, including data pipelines and data models, while partnering with stakeholders to deliver reliable and secure enterprise data assets.

Key Responsibilities

Design, develop, and implement scalable data solutions across cloud-based data platforms, leading technical execution from solution design through deployment to meet performance, security, reliability, and service-level requirements.
Build, optimize, and support resilient data pipelines for efficient ingestion, transformation, and delivery of data assets; troubleshoot and resolve complex data integration, performance, and quality issues.
Develop and maintain logical and physical data models supporting reporting, analytics, and business operations by defining data structures, relationships, and integration approaches for enterprise analytical needs.
Collaborate with business stakeholders, analysts, and architects to translate business requirements into technical designs, prioritize data delivery activities, and manage solution dependencies.
Ensure alignment of data models, pipelines, and data products with established architecture standards and governance requirements, supporting reusable data assets and frameworks that improve scalability and consistency.

Required Qualifications

Minimum seven years of recent experience designing and delivering enterprise data solutions.
Bachelor’s degree from an accredited college or university required.
Demonstrated deep knowledge and hands‑on experience designing and implementing end-to-end data solutions across cloud data platforms across all project phases, including hands‑on expertise with the Azure data stack (Databricks, Unity Catalog).
Proven proficiency architecting data models and developing complex data pipelines using Python/Spark and SQL.
Experience with code management and deployment using Git repositories and CI/CD processes, along with understanding of data consumption platforms and analytics tools such as Power BI and the Power Platform.