Data Engineer - ETL

Hptech Inc.

Denver, CO, United States

19 days ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Working hours

Regular working hours

Job source

www.dice.com

Tech stack

Amazon Web Services Information Engineering Extract Transform Load (ETL) Performance Tuning Data Processing Sql Optimization Apache Spark Software Troubleshooting Data Pipelines Amazon Elastic Mapreduce (EMR)

Requirements

Strong ETL / Data Engineering experience
Advanced SQL
AWS cloud experience
Apache Spark / AWS EMR
Data processing & transformation
Building and optimizing scalable data pipelines
Strong troubleshooting and performance-tuning skills

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Good distractions

Talks and stories from around this role — technically off-topic, practically not.

Moments

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6:08 min

Applying software engineering environments and testing to data pipelines

Matthias Niehoff · World Congress 2024

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Core technical practices for robust data engineering

Sandhya Menon · World Congress 2026 Europe

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Defining stream data processing versus standard event processing

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Building modern data pipelines for legacy exports

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The true role and evolution of data engineering

Sandhya Menon · World Congress 2026 Europe

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