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Data Engineer

Josh Pros LLC
United States
about 1 month ago
Apply on www.indeed.com
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Compensation
$100,000.0 - $145,000.0
Working hours
Regular working hours
Job source
www.indeed.com

Tech stack

Airflow Amazon Web Services Big Data Extract Transform Load (ETL) Data Warehousing Decision Support Systems Python (Programming Language) SQL Databases Apache Spark Apache Kafka Data Pipelines

Job description

Join our data team as a Data Engineer where you will build and maintain scalable data pipelines, design data warehouses, and ensure data quality across the organization. You will work with big data technologies and help drive data-driven decision making across all business units.

Requirements

  • Python, SQL, Apache Spark, Kafka, ETL pipelines, AWS/GCP data services, Data warehousing, Airflow

Benefits & conditions

Remote Remote $100,000 - $145,000 a year - Contract

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Good distractions

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

Moments

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2:34 min

Capabilities of the Apache Spark processing engine

Ayon Roy · LIVE

2:15 min

Empowering domain teams with an open data platform

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Artem Volk Artem Volk +1 · World Congress 2024

2:10 min

Why organizations combine big data and machine learning

Ayon Roy · LIVE

3:05 min

Audience questions on AI agents and pipeline vectorization

Joy Joy · World Congress 2024

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World Congress 2023 • almost 3 years ago

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LIVE • almost 6 years ago

PySpark - Combining Machine Learning & Big Data

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From Messy Queries to Scalable Systems - How Data Engineering actually works thumbnail
31:15
World Congress 2026 Europe • about 2 months ago

From Messy Queries to Scalable Systems - How Data Engineering actually works

Sandhya Menon

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43:57
LIVE • almost 6 years ago

Alibaba Big Data and Machine Learning Technology

Qiyang Duan

Why and when should we consider Stream Processing frameworks in our solutions thumbnail
30:51
World Congress 2024 • about 2 years ago

Why and when should we consider Stream Processing frameworks in our solutions

Soroosh Khodami

Let's Get Aggregated: Custom UDAFs in Spark thumbnail
19:58
World Congress 2025 • about 1 year ago

Let's Get Aggregated: Custom UDAFs in Spark

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