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Data Engineer (AI/ML)

Akaasa Technologies
Westlake, TX, United States
about 2 months ago
Apply on www.careerjet.com
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours
Job source
www.careerjet.com

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Amazon Web Services Automation of Tests Microsoft Azure Data Integrity Extract Transform Load (ETL) Data Warehousing Python (Programming Language) RabbitMQ Power BI SQL Databases
+6 more
Data Streaming Snowflake Data Lakes Apache Kafka Data Pipelines Microservices

Requirements

  • Skill Set: Senior data engineer with 5+ years of experience in Python, SQL, ETL/ELT pipelines, and cloud platforms (AWS, Azure), Snowflake for data warehousing and data lakes. It demands a Power BI expert (semantic modeling, visualization, legacy report modernization) who can migrate legacy datasets and build real-time streaming architectures (Kafka, RabbitMQ, Service Bus). The engineer must design data-centric APIs/microservices, apply data reliability, observability, and automated testing, build data pipelines that support AI/ML productionization, and actively leverage AI coding tools like Copilot and Claude.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.careerjet.com
Prepare application

Good distractions

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

Moments

Explore playlists

1:24 min

Moving the semantic layer upstream to avoid vendor lock-in

Piotr Menclewicz Piotr Menclewicz · Europe 2026 Virtual

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

1:33 min

Integrating internal APIs and maintaining data sovereignty

Mahran Meißner Mahran Meißner · World Congress 2026 Europe

49 sec

Processing asynchronous event streams via standard messaging patterns

Patrick Koss Patrick Koss · World Congress 2024

1:59 min

Evolving roles in AI driven software teams

Ignacio Riesgo Ignacio Riesgo +1 · World Congress 2024

2:46 min

Transforming data architecture from on-premise to cloud

Sandhya Menon Sandhya Menon · World Congress 2026 Europe

Videos

See all
Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG thumbnail
7:02
Europe 2026 Virtual • 3 months ago

Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG

Piotr Menclewicz

Alibaba Big Data and Machine Learning Technology thumbnail
43:57
LIVE • almost 6 years ago

Alibaba Big Data and Machine Learning Technology

Qiyang Duan

Beyond Kafka & RabbitMQ: Why NATS is the Future of Microservices Messaging thumbnail
22:01
World Congress 2025 • about 1 year ago

Beyond Kafka & RabbitMQ: Why NATS is the Future of Microservices Messaging

Um e Habiba

How Cisco embraced a DevOps culture within its network engineering team thumbnail
39:38
LIVE • almost 6 years ago

How Cisco embraced a DevOps culture within its network engineering team

Stuart Clark

From Messy Queries to Scalable Systems - How Data Engineering actually works thumbnail
31:15
World Congress 2026 Europe • 3 months ago

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

Sandhya Menon

Data Analytics with Microsoft Fabric: End-to-End Use Case with Data Agents thumbnail
26:58
World Congress 2025 • about 1 year ago

Data Analytics with Microsoft Fabric: End-to-End Use Case with Data Agents

Dr. Alexander Wachtel, Hanna Schwab

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