Data Engineer

aKube Inc

Las Vegas, NV, United States

about 2 months ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

10 years minimum

Compensation

$130,000.0 - $150,000.0

Working hours

Regular working hours

Job source

www.dice.com

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Cloud Computing Code Review Continuous Integration Information Engineering Extract Transform Load (ETL) Data Systems DevOps Python (Programming Language) SQL Databases Data Ingestion

+6 more

Azure Data Factory Apache Spark Build Management Restful APIs Data Pipelines Databricks

Job description

Design and build scalable batch and real-time data pipelines.

Develop data ingestion, processing, and analytical workflows.

Build data products and intelligent APIs.

Ensure data quality, reliability, and performance.

Collaborate with cross-functional teams to translate business needs into data solutions.

Support cloud-based data architecture for BI and AI/ML use cases.

Participate in code reviews and CI/CD practices.

Requirements

Databricks

Python

Azure

API development

ETL pipelines

DevOps and CI/CD, Bachelor’s degree in a related technical field required.

10+ years of data engineering experience.

Strong experience with Databricks, Spark, and cloud platforms.

Proficiency in Python and SQL.

Hands-on experience with Azure data services.

Experience with REST APIs and DevOps practices.

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Good distractions

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

Moments

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2:17 min

Mapping the maturity roadmap for scaled devops adoption

Dominik Krichbaum · World Congress 2026 Europe

2:27 min

Managing traffic and tracking costs with Databricks Unity Catalog

Viktoria Semaan · World Congress 2026 Europe

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Addressing code review surrender and process exploitation

Laura Tacho · World Congress 2026 Europe

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Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

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Key takeaways and accessing the Databricks developer toolkit

Viktoria Semaan · World Congress 2026 Europe

3:18 min

Scaling global network engineering through DevOps culture

Stuart Clark · LIVE

Videos

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