Data Engineer
3B Staffing LLC, Houston, TX, United States
role- Data Engineer with Azure + Wisdom.ai
Houston, Texas
Travel up to 50% regional travel expected. Need local candidates.
Rate is open
muat have previous Payments domain expereince May be from Banking or Finance
CTH role
Description:
The Mid Level Data Analyst is a hands-on Data Engineer & Analyst who can design, build, and operationalize modern data platforms while enabling AI-driven analytics and business insights using Azure data services and Wisdom.ai. This role bridges data engineering (pipelines, modeling, architecture), analytics (insights, dashboards, semantic layers), and AI enablement (natural language querying, agentic workflows). You will play a critical role in turning raw data (payments, POS, customer, operational) into revenue-generating intelligence and decision support tools.
Key Responsibilities:
Data Engineering & Platform Development
Oversee the design and build of scalable data pipelines using Azure Data Factory, Synapse Pipelines, and Fabric Dataflows. Over the develop and maintenance of data lakes (Azure Data Lake Storage Gen2) and data warehouses (Azure Synapse / Fabric Warehouse). Oversee the Implementation of batch and near real-time ingestion using Event Hub, APIs, and file drops. Ensure data quality, lineage, and observability.
Data Modeling
Design business-friendly data models including star and snowflake schemas and domain-driven models (merchant, transaction, customer, device). Define metrics, KPIs, and standardized definitions such as authorization rate and interchange yield.
Analytics & Business Insights
Enable self-service analytics for product, operations, risk, and finance teams. Perform deep-dive analyses on payment performance (authorization rates, declines, routing), customer behavior and segmentation, and revenue optimization opportunities.
Wisdom.ai Enablement (AI + Natural Language Analytics)
Integrate and configure Wisdom.ai with Azure data sources. Build semantic knowledge layers for natural language querying, including business context, definitions, relationships, and hierarchies. Enable "ask your data" capabilities for non-technical users and develop AI-driven insights and recommendations (agentic analytics).
Data Governance & Compliance
Implement governance aligned with PCI, SOC2, and enterprise data policies. Define data ownership, access controls, and RBAC. Ensure secure handling of sensitive data (PII, payment data). Maintain metadata catalogs and documentation.
Cross-Functional Collaboration
Partner with product managers (feature analytics, KPIs), engineering teams (data integration), and business stakeholders (requirements, insights). Translate business needs into data models, pipelines, and dashboards.
Competencies Required:
Extensive knowledge of merchant products and services, industry trends, pricing strategies, customer needs analysis and proposal development.
Exceptional communication, presentation and consultation skills.
Excellent time management and organizational skills with the ability to prioritize workload and multi-task in a fast pace environment while maintaining attention to detail.
Strategic and problem-solving mindset with developed analytical ability, critical thinking, and decision-making skills.
Excellent customer service and relationship management skills with the ability to effectively interact with internal and external top executives and business owners in a variety of industries.
Self-driven and highly motivated; takes pride in meeting and exceeding goals.
Proficiency with Microsoft office (PowerPoint, Excel, Office, Word, and SharePoint and the ability to navigate banking software applications
Minimum Qualifications/Experience:
5-7 years of product management experience in the merchant industry
Formal Education & Certification:
Bachelor's degree in a business-related field preferred.
Travel:
Up to 50% regional travel expected.
Working Conditions:
Conditions involve lifting no more than ten pounds, sitting most of the time, but may involve walking, moving, or standing for brief periods, and occasionally lifting and carrying articles like files, ledgers, folders, etc.
Houston, Texas
Travel up to 50% regional travel expected. Need local candidates.
Rate is open
muat have previous Payments domain expereince May be from Banking or Finance
CTH role
Description:
The Mid Level Data Analyst is a hands-on Data Engineer & Analyst who can design, build, and operationalize modern data platforms while enabling AI-driven analytics and business insights using Azure data services and Wisdom.ai. This role bridges data engineering (pipelines, modeling, architecture), analytics (insights, dashboards, semantic layers), and AI enablement (natural language querying, agentic workflows). You will play a critical role in turning raw data (payments, POS, customer, operational) into revenue-generating intelligence and decision support tools.
Key Responsibilities:
Data Engineering & Platform Development
Oversee the design and build of scalable data pipelines using Azure Data Factory, Synapse Pipelines, and Fabric Dataflows. Over the develop and maintenance of data lakes (Azure Data Lake Storage Gen2) and data warehouses (Azure Synapse / Fabric Warehouse). Oversee the Implementation of batch and near real-time ingestion using Event Hub, APIs, and file drops. Ensure data quality, lineage, and observability.
Data Modeling
Design business-friendly data models including star and snowflake schemas and domain-driven models (merchant, transaction, customer, device). Define metrics, KPIs, and standardized definitions such as authorization rate and interchange yield.
Analytics & Business Insights
Enable self-service analytics for product, operations, risk, and finance teams. Perform deep-dive analyses on payment performance (authorization rates, declines, routing), customer behavior and segmentation, and revenue optimization opportunities.
Wisdom.ai Enablement (AI + Natural Language Analytics)
Integrate and configure Wisdom.ai with Azure data sources. Build semantic knowledge layers for natural language querying, including business context, definitions, relationships, and hierarchies. Enable "ask your data" capabilities for non-technical users and develop AI-driven insights and recommendations (agentic analytics).
Data Governance & Compliance
Implement governance aligned with PCI, SOC2, and enterprise data policies. Define data ownership, access controls, and RBAC. Ensure secure handling of sensitive data (PII, payment data). Maintain metadata catalogs and documentation.
Cross-Functional Collaboration
Partner with product managers (feature analytics, KPIs), engineering teams (data integration), and business stakeholders (requirements, insights). Translate business needs into data models, pipelines, and dashboards.
Competencies Required:
Extensive knowledge of merchant products and services, industry trends, pricing strategies, customer needs analysis and proposal development.
Exceptional communication, presentation and consultation skills.
Excellent time management and organizational skills with the ability to prioritize workload and multi-task in a fast pace environment while maintaining attention to detail.
Strategic and problem-solving mindset with developed analytical ability, critical thinking, and decision-making skills.
Excellent customer service and relationship management skills with the ability to effectively interact with internal and external top executives and business owners in a variety of industries.
Self-driven and highly motivated; takes pride in meeting and exceeding goals.
Proficiency with Microsoft office (PowerPoint, Excel, Office, Word, and SharePoint and the ability to navigate banking software applications
Minimum Qualifications/Experience:
5-7 years of product management experience in the merchant industry
Formal Education & Certification:
Bachelor's degree in a business-related field preferred.
Travel:
Up to 50% regional travel expected.
Working Conditions:
Conditions involve lifting no more than ten pounds, sitting most of the time, but may involve walking, moving, or standing for brief periods, and occasionally lifting and carrying articles like files, ledgers, folders, etc.