Full-stack Engineer

• Conduct requirements gathering and scoping sessions with SMEs, business users, and executive stakeholders to define reporting needs
• Translate business requirements into actionable BI solutions
• Independently develop reports and dashboards using Power BI and other BI tools
• Ensure data accuracy, usability, and visualization best practices
• Assist and train users from departments like Sales, Production, and Supply Chain to leverage Power BI effectively
• Promote a data-driven culture through workshops, meetings, and internal initiatives
• Manage admin-level access control for data and reports across the organization
• Maintain compliance with security and governance standards
• Identify opportunities for applying advanced analytics, including machine learning and IoT
• Collaborate with data engineering teams for ETL and data warehouse integration
• Support field activities as needed, ensuring smooth deployment and adoption of BI solutions

Senior Software Engineer – Power BI

Data Engineer

• Modernize legacy ETL pipelines : Lead the transformation of SSIS/SSRS workloads into modular, high-performance pipelines using Databricks, dbt, Fivetran, and Airflow.
• Architect reusable data design patterns : Define and implement standardized frameworks for ingestion, transformation, curation, and consumption layers across the Lakehouse.
• Develop and lead POCs/POVs : Experiment with new technologies (e.g., Delta Live Tables, Iceberg, streaming ingestion, AI-driven observability) to validate architecture choices and influence the enterprise roadmap.
• Leverage AI to accelerate engineering : Use AI-enabled tools like Databricks Assistant, Cursor AI, GitHub Copilot, and dbt Mesh AI tests for code generation, automated testing, documentation, and pipeline optimization.
• Apply ML for operational intelligence : Integrate predictive models to detect pipeline anomalies, data drift, and optimize compute and scheduling.
• Enforce engineering excellence : Drive CI/CD, version control, peer reviews, and observability practices across the data platform.
• Collaborate cross-functionally : Partner with data architects, platform engineers, analysts, and business product owners to translate business needs into technical solutions.
• Mentor data engineers : Provide technical guidance, foster continuous learning, and help the team adopt modern data engineering best practices.
• Optimize performance and cost : Continuously tune Spark workloads, storage tiers, and orchestration logic across Azure and GCP environments.

Data Engineering Technical Lead – VP

Backend Engineer

• Lead technical decisions for new features, improvements, and architectural evolution, driving both team and client demands.
• Act as the primary technical point of contact, balancing client-facing interactions with internal development guidance.
• Contribute across the full SDLC: requirements, design, development, testing, documentation, and release, with a high degree of autonomy.
• Ensure scalable, secure, maintainable, and high-quality backend solutions, optimized data flows, and robust reporting.
• Own complex feature delivery and solve key technical and architectural challenges, especially within SQL Server and integration services.
• Conduct code reviews, enforce coding standards, and promote best engineering practices.
• Run technical ceremonies (Security & Quality gates, technical planning meetings) and manage project workflows.
• Identify and execute technical Enablers and Proof-of-Concepts to foster continuous innovation.
• Monitor system health, analyze performance, and support non-functional testing and automation scripts.
• Mentor developers, lead training sessions, and support onboarding of new team members, driving technical excellence across the team.
• Collaborate closely with Product Owners, Business Analysts, Architects, IT teams, and external partners, acting as a bridge between technical execution and client needs.

Senior Developer – Backend

Software Engineer

• Ownership of team Qlik platform strategy, data modeling, scripting, and visualization standards.
• Develop and maintain Qlik applications, including data modeling, web/database integrations, and NPrinting.
• Translate business requirements into scalable technical solutions aligned with enterprise architecture standards.
• Establish frameworks and patterns for delivering business intelligence and reporting.
• Ensures alignment with enterprise data governance and IT controls
• Drives platform modernization for improved performance and user experience.
• Troubleshoot and resolve issues related to data visualization and reporting.
• Conduct quality assurance reviews, documentation, and system deployment.
• Prioritizes work across multiple initiative and stakeholders
• Work closely with stakeholders to understand business needs and deliver effective solutions.
• Provide timely and clear communication to business owners and users regarding issue status and resolution.
• Interface confidently with non-technical personnel via email, chat, phone, and in-person meetings.
• Leads and mentors Qlik developers, including code reviews, best practices, and upskilling.
• Mentor team members on best practices and Qlik tool usage.
• Contribute to special projects and initiatives as needed.

Lead Qlik Developer

• Ownership of team Qlik platform strategy, data modeling, scripting, and visualization standards.
• Develop and maintain Qlik applications, including data modeling, web/database integrations, and NPrinting.
• Translate business requirements into scalable technical solutions aligned with enterprise architecture standards.
• Establish frameworks and patterns for delivering business intelligence and reporting.
• Ensures alignment with enterprise data governance and IT controls
• Drives platform modernization for improved performance and user experience.
• Troubleshoot and resolve issues related to data visualization and reporting.
• Conduct quality assurance reviews, documentation, and system deployment.
• Prioritizes work across multiple initiatives and stakeholders.
• Work closely with stakeholders to understand business needs and deliver effective solutions.
• Provide timely and clear communication to business owners and users regarding issue status and resolution.
• Interface confidently with non-technical personnel via email, chat, phone, and in-person meetings.
• Leads and mentors Qlik developers, including code reviews, best practices, and upskilling.
• Mentor team members on best practices and Qlik tool usage.
• Contribute to special projects and initiatives as needed.

Data Analyst

• Design, build, and maintain ETL workflows to integrate and transform data from diverse sources into platforms like SQL Server, Databricks, and Snowflake.
• Organize, manage, and optimize structured and semi-structured data in cloud repositories for performance and scalability.
• Develop and execute complex SQL queries to analyze, extract, and move data across enterprise platforms.
• Create dashboards and ad-hoc reports for leadership using tools such as Power BI.
• Ensure secure and reliable data movement between systems, including legacy and cloud environments.
• Collaborate with engineers, analysts, and stakeholders to gather requirements, document processes, and deliver robust data solutions.

Senior Data Analyst

• Serves as an organizational resource in reviewing, understanding, analyzing and using data for the purpose of measuring or improving performance
• Leads small projects, and often works multiple complex projects
• Confirms project requirements by analyzing user requirements, conferring with others on project team
• Analyzes current system/application capabilities for possible solutions to minimize development
• Supports, manages, and organizes electronic data according to Kaweah’s policies and standards
• Gathers and interprets relevant data and information
• Develops and maintains integrated data and uses inductive reasoning supplying strong evidence for solutions/conclusions
• Thinks analytically and is a problem solver
• Performs structured data requirements analysis and data modeling in support of application development for relational and reporting databases
• Works collaboratively as part of a team, as well as independently under own initiative.

Business Intelligence Developer

• Handle and execute the business analytics solution vision and feature definitions to ensure impact of developed solution, tool or application is achieved
• Gather and analyze business requirements and end user specifications for new products/functionalities and improve existing solutions
• Plan integration projects, priorities, risk mitigation, staffing, costs and impacts
• Schedule and coordinate pre-implementation meetings with representatives of customer, carriers and vendors
• Work with business partners to ensure all requirements are clearly documented to guarantee deliverables meets the objectives
• Coordinate development and testing with the business analytics, development and product teams
• Independently design, develop, document and deploy high quality dashboards, reports, analytical tools and other user-friendly functionalities

Business Intelligence Engineer, 1st Shift

• Responsible for the design, development, testing, and implementation of the new generation of data movement solutions for the Bank using state of the art technologies to optimize effectiveness of Provident Bank’s data warehouse.
• Design, develop, test, and implement ETL/ELT data movement jobs based on business requirements to feed data into Provident’s data warehouse and the various downstream bank applications.
• Provide technical guidance on data movement related issues and ensure optimal design for all aspects of the data warehouse.
• Perform data analysis and sourcing to target mappings and verify accuracy of data within the Bank’s data warehouse.
• Identify, design and implement process improvements (i.e. automate manual processes and optimize data delivery) to optimize the quality of data for the firm’s business intelligence team.
• Implement, maintain, and extend best practices and assets in line with the market standards and guidelines to best ensure reliability of the Bank’s data.

Lead Data Engineer, Multiple Positions Available

Systems Engineer

• Resource focused on analysis and development, working as a Systems Analyst within the Strategic Data team.
• Responsible for participating in projects and providing system support, from scenario analysis and requirements gathering to defining and performing the technical implementation.
• Systems are focused on FP&A, Anti-Money Laundering and Market, Operational and Credit Risk areas for the financial sector, using Mainframe as the primary platform and lower-level platforms as auxiliary tools.

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Senior Software Engineer – Power BI

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Lead Qlik Developer

Lead Qlik Developer

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Senior Data Analyst

Business Intelligence Engineer, 1st Shift

Lead Data Engineer, Multiple Positions Available

Systems Analyst, Mid-level