Referso Jobs

Lead data analytics initiatives within HSBC Retail Banking & Wealth, overseeing AI-driven data model design, DataOps transformation, and cross-market data design discussions.

Responsibilities

Serve as the go-to person for banking data requests
Lead AI-driven and analytics-driven data model design
Manage end-to-end data transformation program
Lead DataOps transformation for self-serve ETL
Build and maintain data pipelines and quality controls

Skills

SQL Python PostgreSQL Airflow BigQuery Spark Java JavaScript Visual Studio Code PyCharm IntelliJ Apache Spark

Software Engineer

Radiance Technologies · Posted Sep 18, 2026

Open

Dahlgren, Virginia, United States
$110K–$150K per year
4+ years

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Software Engineer

Compensation

Estimated salary range for this position is between $110,000 - $150,000 per year.

Responsibilities

Research, develop, and deploy machine learning algorithms for both software and hardware applications
Design and optimize systems using scientific analysis and mathematical modeling
Analyze complex datasets to develop high-performance software solutions
Build tools and systems to support software testing, validation, and performance benchmarking
Collaborate with cross-functional teams to integrate modeling and simulation capabilities into DoD platforms

Requirements

Bachelor’s degree or higher in Computer Science, Computer Engineering, or related field

Skills

Strong programming proficiency in C++ and/or Java Scripting knowledge in Python or R Full lifecycle software development experience Expertise in modeling communications networks

Manager, Data Analytics

HSBC · Posted Oct 22, 2026

Open

Kowloon City, Kowloon, Hong Kong
On-site
Full-time · Manager
5+ years

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Serve as the “go-to” person within the Data & Analytics organization in HSBC Retail Banking & Wealth for banking data requests from business stakeholders.

Responsibilities

Lead AI-driven and analytics-driven data model design, and manage the end-to-end data transformation program in partnership with multiple teams.
Lead the DataOps transformation to enable self-serve, high-performant data ETL for both ad-hoc analytical purposes and real-time large Machine Learning / AI model inference.
Build and maintain data pipelines (ETL/ELT), implement data quality controls, and perform peer code reviews.
Coordinate and drive cross-market and cross-entity data design discussions to maximize reuse and data synergies.
Lead and/or support data analysis and business insights generation.

Requirements

Nice to have: Spark
Nice to have: Cloud-native data ETL development
Nice to have: unstructured data handling

Skills

SQL Python PostgreSQL cloud-native data pipeline automation DevOps

Modeling and Simulation Engineer

Radiance Technologies · Posted Nov 3, 2026

Open

Shalimar, Florida, United States
4+ years

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Develop and modify threat models within Modeling & Simulation frameworks to support AFRL missions at Eglin AFB.

Responsibilities

Develop or modify existing threat models within AFSIM, ITASE, and NGTS
Incorporate models into AFSIM scenarios and perform testing and verification
Collaborate with government stakeholders and Radiance teammates across the country

Requirements

Bachelor’s degree or higher in Computer Science, Computer Engineering, Electrical Engineering, Aerospace Engineering, Aeronautical Engineering, Physics, or related field

Skills

C++C#Python Java AFSIM NGTS ITASE modeling military systems physics-based models

Cloud Data Engineer

Cognizant · Posted Mar 11, 2026

Open

$80K–$90K per year

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Results-driven Data Engineer with expertise in designing, building, and optimizing scalable data pipelines across cloud and distributed systems. Skilled in Python, PySpark, and SQL for data ingestion, transformation, and integration.

Compensation

80k-90k

Responsibilities

Build and maintain scalable data pipelines using cloud services for ingestion, transformation, and storage.
Develop data products that integrate customer data from multiple sources into unified profiles.
Create metadata-driven frameworks to ensure data quality, consistency, and governance.
Write Pyspark, and Spark SQL scripts to perform complex data transformations, ensuring data pipelines are efficient, scalable, and optimized for analytics and reporting.
Support ETL processes by fixing errors, improving resiliency, and ensuring data integrity across reports and dashboards.

Requirements

Databricks Certified Data Engineer Associate

Skills

Azure Data Lake Storage (ADLS)Azure Blob Storage Hadoop (HDFS, Hive)PySpark SQL Server Azure AWS Git Bitbucket CI/CD Shell Scripting Jira Agile Scrum Control-M Sterling B2B Integrator Postman API Testing

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