Overview:

ValueCheck, a Fidelity National Financial company, develops data and analytic software solutions for Credit Unions and Mortgage Lenders, helping them to accurately value properties, better manage loan portfolios and make sound lending decisions with confidence.

POSITION OVERVIEW

We are seeking a SQL Data Engineer & Analyst to join our team in supporting enterprise data initiatives. This hybrid role will focus on designing and maintaining SQL-based data infrastructure, building and optimizing database structures, and conducting complex data analysis to support decision-making across the organization.

The ideal candidate will have a strong foundation in SQL development, data visualization, and analytical problem-solving, with the ability to work independently and collaborate closely with cross-functional teams. You’ll also play a key role in developing ETL pipelines, ensuring data integrity, and delivering actionable insights through structured reporting.

LOCATION

This is a hybrid position out of our Highlands Ranch, CO office. Ability to come onsite one day per week.

DUTIES & RESPONSIBILITIES

Build and optimize ETL processes to extract, transform, and load data from various sources
Analyze complex datasets to identify trends, anomalies, and actionable insights
Present data findings to stakeholders in a clear, concise, and visual manner
Maintain data integrity, security, and availability across platforms
Use tools like Power BI and Python (e.g., Pandas, Matplotlib, Seaborn) for data visualization and exploration
Contribute to data governance efforts by documenting processes and defining data standards

MINIMUM REQUIREMENTS

Bachelor's degree in computer science, information systems, or related field, or the equivalent combination of education, training, and work experience.
Requires 3+ years of experience with SQL development, including writing complex queries, functions, and stored procedures
Experience with ETL processes and data integration workflows
Proficiency in data analysis and reporting using Power BI and/or Python-based visualization tools
Ability to interpret data to make recommendations and inform strategic decisions
Strong understanding of relational databases and data modeling principles

PREFERRED EXPERIENCE

Experience working in a cloud data environment (Azure or AWS preferred)
Familiarity with data science methodologies and large dataset processing
Exposure to data governance, metadata management, or master data concepts
Prior experience working in financial services, insurance, or real estate domains

This position has the potential to earn compensation in the range of $75,000 - $100,000 annually based on location and job-related factors such as skillset and experience. Actual rate may vary within the range provided, depending on a number of factors, including skillset, experience and location. The base compensation is one component of the total rewards package offered to our employees, including optional health and welfare insurance (medical/dental/vision/life/disability); paid holidays, vacation, and sick time off; and matching 401(k) plan and matching employee stock purchase plan.

Fidelity National Financial

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SQL Data Engineer & Analyst