Auxo Commercial

Data Engineer – Azure, Contract

Auxo Commercial

contract

Posted on:

Location Type: Hybrid

Location: Jacksonville • Florida • 🇺🇸 United States

Visit company website
AI Apply
Apply

Salary

💰 $60 - $85 per hour

Job Level

Mid-LevelSenior

Tech Stack

AzureCloudETLPythonSQL

About the role

  • Collaborate with project team(s) to implement new technologies, design ETL processes, and administer databases.
  • Design, develop, build, and own robust and high-performance data pipelines/APIs using Azure Data Factory/Databricks.
  • Collaborate with the Data Engineering team to assemble large, complex data sets which meet functional and non-functional business requirements.
  • Architect infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL, Data Build Tool (dbt) and Azure technologies.
  • Create and manage processes that support data transformation, data structures, metadata, dependency and workload management.
  • Define and document cloud solution architecture(s) including technical designs and diagrams.
  • Generate and document unit test scripts.
  • Take a proactive approach in the overall ownership of data quality, overseeing architectural decisions and evaluating system implementations.
  • Act as the escalation point of contact for Data Engineering issues.
  • Propose and present solution recommendations, offering technical guidance to project teams.
  • Provide innovative solutions to address complex business problems and challenges.

Requirements

  • Bachelors’ Degree in Computer Science or related field, along with relevant Tech/Software Certifications (Azure Cloud Certifications strongly preferred).
  • At least 5 years’ of experience working in Data Engineering, with strong proficiency in Azure services such as: Data Factory, Synapse Analytics, Data Lake, Azure SQL, and hybrid Azure Stack environments.
  • Experience deploying Azure Infrastructure-as-code (IaC) and building CI/CD pipelines.
  • Strong skills in ETL workflows, data modeling, and schema optimization.
  • Strong command of Python, SQL, and scripting for automation along with data warehousing and ETL best practices.
  • Insurtech and/or Insurance experience is a plus.
  • Ability to navigate an Agile/Waterfall software development project for external clients with very little oversight.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
ETL processesdata pipelinesAPIsAzure Data FactoryDatabricksSQLData Build Tool (dbt)data modelingschema optimizationPython
Soft skills
collaborationproactive approachtechnical guidanceproblem-solvingcommunication
Certifications
Bachelors’ Degree in Computer ScienceAzure Cloud Certifications