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Software Data Intelligence Engineer

Job in Seattle, King County, Washington, 98127, USA
Listing for: BEKKARAT GROUP
Full Time position
Listed on 2026-10-06
Job specializations:
  • IT/Tech
    Data Engineering, Data Analyst, AI Engineer (Applied/Software), Data Warehousing
Salary/Wage Range or Industry Benchmark: 110000 - 180000 USD Yearly USD 110000.00 180000.00 YEAR
Job Description & How to Apply Below
Position: SOFTWARE DATA INTELLIGENCE ENGINEER

Position Overview

BEKKARAT GROUP is seeking a Software Data Intelligence Engineer to join its global Software Analytics, Data Engineering & Intelligent Information Systems Division
.

This position is responsible for designing data-driven software solutions, developing intelligent data processing systems, creating analytics architectures, and transforming complex information into actionable technology intelligence.

The successful candidate will work on advanced data engineering initiatives involving software analytics platforms, enterprise data ecosystems, intelligent reporting systems, machine learning data pipelines, real-time information processing, predictive analytics infrastructure, data visualization environments, and digital intelligence solutions.

The role combines data engineering, software development, analytics architecture, artificial intelligence integration, information systems design, and enterprise data intelligence.

The Software Data Intelligence Engineer will contribute to the development of advanced digital intelligence platforms supporting BEKKARAT GROUP activities across software ecosystems, artificial intelligence solutions, industrial automation, financial technologies, logistics intelligence, cybersecurity platforms, manufacturing systems, digital marketplaces, and global enterprise operations.

The successful candidate will collaborate with software engineers, data scientists, AI specialists, business analysts, cloud architects, database engineers, cybersecurity teams, and technology leadership.

This is a fully remote global data intelligence engineering position supporting intelligent analytics platforms, data-driven software development, predictive systems, and future digital ecosystems.

Role Mission

The mission of the Software Data Intelligence Engineer is to transform complex digital information into intelligent systems that support better technology decisions, automation, and business optimization.

The role focuses on designing data architectures, developing analytical software solutions, improving information processing capabilities, and creating intelligent data environments.

The successful candidate will build data-driven software systems, optimize information flows, support artificial intelligence initiatives, and contribute to BEKKARAT GROUP advanced digital intelligence strategy.

The position supports strategic initiatives involving data platforms, AI systems, predictive analytics, business intelligence, real-time analytics, and intelligent enterprise software.

Key Responsibilities Data Intelligence Architecture Design
  • Design software data architectures.
  • Develop:
  • Data processing frameworks.
  • Information models.
  • Analytics structures.
  • Data intelligence solutions.
  • Analyze:
  • Data requirements.
  • System dependencies.
  • Information flows.
Software Data Pipeline Engineering
  • Develop automated data pipelines.
  • Create:
  • Data ingestion systems.
  • Transformation workflows.
  • Processing architectures.
  • Optimize:
  • Data quality.
  • Processing efficiency.
  • Information availability.
Enterprise Data Platform Development
  • Support development of enterprise data environments.
  • Design:
  • Data platforms.
  • Analytics ecosystems.
  • Information repositories.
  • Integration frameworks.
  • Analyze:
  • Business data requirements.
  • Technology capabilities.
Real-Time Data Processing
  • Develop systems for real-time information processing.
  • Support:
  • Streaming data platforms.
  • Live analytics systems.
  • Event-driven architectures.
  • Analyze:
  • Operational data.
  • Real-time intelligence requirements.
Machine Learning Data Engineering
  • Prepare data environments supporting artificial intelligence.
  • Develop:
  • Machine learning pipelines.
  • Feature engineering processes.
  • Data preparation frameworks.
  • Support:
  • AI model development.
  • Predictive analytics systems.
Software Analytics Development
  • Create…
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