Senior Analytics Engineer

Added Jan 22, 2026 Senior Analytics Engineer (27214) Fort Worth, TX | Temp to Perm Apply

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LRS Consulting Services is seeking a Senior Analytics Engineer for a contract to hire opportunity with our client in Fort Worth, Texas.

The Analytics Engineer designs, builds, and supports high-quality data products including data pipelines, data models, and analytics dashboards. This role focuses on delivering reliable, well‑structured, and cost‑effective data solutions that support enterprise reporting and decision‑making. The Analytics Engineer works with modern data and analytics tools and applies sound data architecture principles, critical thinking, and problem‑solving skills to support the ongoing development and improvement of analytics and data products.

The ideal candidate is outcome‑focused, curious, and collaborative, with the ability to work across multiple initiatives and adapt as priorities evolve.

• Design, build, and support high-quality data products
• Build and support data warehouses and analytics data models
• Design and develop data pipelines, integrations, and data flows
• Build and maintain semantic models used for reporting and analytics
• Develop and enhance Power BI dashboards and visualizations
• Ensure data reliability, performance, and cost efficiency
• Implement data quality checks and validation processes
• Maintain clear and thorough documentation for data pipelines, models, and analytics products
• Ensure alignment with Data Governance standards and outcomes
• Collaborate with Data Services leadership to help prioritize the analytics roadmap
• Support adoption of new data technologies and tools
• Mentor junior engineers and provide guidance on best practices

• 5+ years of experience in analytics engineering, data engineering, or business intelligence roles
• Strong experience with Power BI and data visualization, including building and modifying dashboards
• Experience developing and maintaining semantic models, including row‑level security
• Experience building or supporting data warehouses and analytics data models
li>Strong SQL skills, with experience using T‑SQL or similar dialects
• Experience designing and supporting data pipelines and integrations
• Experience working in a Microsoft‑based data environment (Azure, SQL Server, ADF, or similar);
  Microsoft Fabric experience is a plus but not required
• Solid understanding of data modeling techniques, including star schema and normalization
• Strong analytical, problem‑solving, and communication skills
• Ability to work independently, collaborate effectively, and adapt to changing priorities

• Financial services or other highly regulated industry experience
• Experience with Microsoft Fabric, Azure Data Factory, or Azure Purview
• Familiarity with Python and/or Scala for data engineering
• Experience with analytics automation tools such as Alteryx
• Experience working in Agile or Scrum environments
• Familiarity with source control tools such as Git
• Relevant data or analytics certifications

• BA/BS preferred, MBA or MS a plus
• Certifications related to data or analytics engineering (e.g., Power BI, Azure Data Factory, Microsoft Fabric) preferred
• Microsoft Fabric Analytics Engineer Associate certification may be required within 90 days if not already achieved

The base range for this contract position is $55.00 - $67.00 per hour, depending on experience. Our pay ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hires of this position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job‑related skills, experience, and relevant education or training.

LRS is an equal opportunity employer. Applicants for employment will receive consideration without unlawful discrimination based on race, color, religion, creed, national origin, sex, age, disability, marital status, gender identity, domestic partner status, sexual orientation, genetic information, citizenship, status or protected veteran status.

In some cases, LRS Consulting uses generative artificial intelligence ("AI") in support of our hiring processes. LRS takes steps to ensure the use of AI does not result in discrimination based on protected class(es). AI may be used in the hiring process solely in support of the assessment of candidate qualifications. All decisions in the hiring process are made by LRS employees.

If AI will be used in the hiring process for the position for which you are applying, you will be notified and will have the opportunity to opt out. Please contact  with any questions.