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Data Engineer IV

Insight Global

Greenwood Village, CO · HybridJob$50–60/hrSeen 5 days agoSeen in employer's feed 5 days ago

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At a glance

Compensation
$50–60/hr
Location
Greenwood Village, COHybrid
Work Authorization
Not specified

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Job overview

The Data Engineer will support large-scale data initiatives and platform optimization by building and maintaining data pipelines, optimizing jobs and resource utilization, and ensuring efficient data processing. The role is hybrid, with four days per week onsite in Greenwood Village, Colorado, and pays $50–$60 per hour. The ideal candidate has experience with Java, Databricks, Bash scripting, and version control; job optimization experience is highly desired.

Skills & qualifications

RequiredNice to have

Skills

JavaDatabricksBash/Shell ScriptingVersion ControlJob OptimizationWorkflow OptimizationResource UtilizationData Pipeline DevelopmentTroubleshootingPerformance TuningEnterprise Data EnvironmentsAWSSpark/PySparkCI/CDInfrastructure AutomationData WarehousingData LakesPerformance MonitoringObservability ToolsMachine Learning WorkloadsAnalytics WorkloadsDistributed Computing

Full job description

Job Description

Our client is seeking a Data Engineer to support large-scale data initiatives and platform optimization efforts. This role will focus on building and maintaining data pipelines, optimizing jobs and resource utilization, and ensuring efficient data processing across the organization's environment. The ideal candidate will have strong experience in Java, Databricks, Bash scripting, and version control systems. Experience optimizing jobs, improving performance, and managing resource consumption is highly desired.

This is a hybrid position in Greenwood Village Colorado 4 days a week onsite and will pay between 50 and 60 per hour.

Skills and Requirements

Strong Java development experience Databricks experience Bash/Shell scripting Version control experience (Git or similar) Experience optimizing jobs, workflows, and resource utilization Data pipeline development and maintenance Strong troubleshooting and performance tuning skills Experience working in enterprise-scale data environments AWS experience Spark/PySpark experience CI/CD pipeline knowledge Infrastructure automation experience Data warehouse and data lake experience Performance monitoring and observability tools Experience supporting machine learning or analytics workloads Exposure to distributed computing environments

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to [email protected].

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