Data Solutions Engineer

RESPONSIBILITIES

Kforce has a client that is seeking a Data Solutions Engineer in San Antonio, TX.

Overview

The P&C Data & Risk organization is looking for a hands-on Data Solutions Engineer/Senior Data Analyst to support a short-term, high-priority data enablement initiative. This individual will support the Lead Advisor within P&C Risk responsible for data analytics, AI, and broader data initiatives across the organization. The immediate objective is to complete a proof of concept focused on improving access to P&C source data and making that data consumable for analytics and risk use cases.

The team currently has access to portions of the data but does not have complete visibility into the source data across different domains and layers. This person will help explore what is available, understand how the data is structured and accessed, move or transform data where necessary, and ultimately create curated Snowflake views and datasets that can be consumed by the business. This is an enablement and acceleration role.

The goal is to give the team additional technical capacity to move this work forward quickly while establishing a foundation that could support expanded analytics initiatives in the future.

Key Responsibilities

• Use SQL within Snowflake to explore source data, tables, schemas, relationships, and data elements
• Perform hands-on exploratory data analysis and data discovery to determine what data exists and how it can be used
• Understand data that may sit across different architectural layers, systems, and business domains
• Create and work with Snowflake views, tables, schemas, and curated datasets
• Take underlying source data and transform it into a clean, consumable view for downstream analytics
• Support the movement or ingestion of source data into Snowflake when information is not already available through existing Snowflake views

REQUIREMENTS:

• Several years of hands-on SQL experience, preferably working directly within Snowflake
• Must be highly proficient in writing and working with SQL queries independently
• Strong experience navigating and analyzing tables, schemas, views, and large datasets
• Ability to explore unfamiliar datasets and quickly determine how information is structured and related
• Experience creating curated views and datasets for downstream users
• Strong understanding of how enterprise data architecture works, including different data layers, domains, source systems, and analytical environments

The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.
We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.

Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law. This job is not eligible for bonuses, incentives or commissions. Kforce is an Equal Opportunity/Affirmative Action Employer.

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