Azure Data Engineer: Pipelines, Lakes & Spark

Lingaro

United States

Remote

USD 110,000 - 160,000

Full time

14 days+

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Job summary

Lingaro is seeking a Data Engineer in the United States to build scalable data pipelines and optimize storage architectures using Databricks, Apache Spark, and Azure services. You will collaborate with data scientists, analysts, and business stakeholders to deliver well-structured data for analysis and modeling.

Ideal candidates have 4–6 years of experience, strong communication skills, and hands-on experience with data platforms, cloud technologies, and agile workflows to drive solutions

Qualifications

4–6 years of professional experience in a similar role.
Very good level of communication to explain complex topics to stakeholders.
Experience with data pipelines, data lakes/warehouses, and Azure.
Hands-on with Databricks, Apache Spark, and data modeling.
Familiarity with Agile methodologies and tools (JIRA, Azure DevOps).

Responsibilities

Build data pipelines to ingest data from databases, APIs, or streaming platforms.
Design and optimize data storage architectures (data lakes, data warehouses, distributed file systems).
Model data to support analysis and collaboration with data scientists.
Collaborate with cross-functional teams to deliver technical solutions and communicate effectively.

Skills

Databricks

Apache Spark

Programming

Azure Services

GenAI for Data Engineering

CI/CD Automation

Data Architecture

Technical Leadership

Architecture - Data Processing

Communication

Tools

JIRA

Azure DevOps

Cloud Platforms

Job description

Ideal candidates have 4–6 years of experience, strong communication skills, and hands-on experience with data platforms, cloud technologies, and agile workflows to drive solutions

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