Senior Analytics Engineer

LRS Primary Navigation + Who We Are + History ( + Company Overview + Leadership ( + A Message from Our CEO + What We Believe ( + Our Mission + LRS Philosophy & Values ( + Community Involvement + Wilkerson ( + Divisions + Careers + Get Hired + Our Culture ( + Benefits + Diversity ( + Internships + Offices ( + LRS Offices + Contact ( + News Global NavigationEmployee Login (File Transfer Filters Careers Added Jan 22, 2026 Senior Analytics Engineer (27214) Fort Worth, TX Temp to Perm Apply ( For additional information on how we handle your data, see Job Description LRS Consulting Services is seeking a Senior Analytics Engineer for a contract to hire opportunity with our client in Fort Worth, Texas. Position Summary 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. Duties & Responsibilities u2022 Design, build, and support high-quality data products u2022 Build and support data warehouses and analytics data models u2022 Design and develop data pipelines, integrations, and data flows u2022 Build and maintain semantic models used for reporting and analytics u2022 Develop and enhance Power BI dashboards and visualizations u2022 Ensure data reliability, performance, and cost efficiency u2022 Implement data quality checks and validation processes u2022 Maintain clear and thorough documentation for data pipelines, models, and analytics products u2022 Ensure alignment with Data Governance standards and outcomes u2022 Collaborate with Data Services leadership to help prioritize the analytics roadmap u2022 Support adoption of new data technologies and tools u2022 Mentor junior engineers and provide guidance on best practices Required Qualifications u2022 5+ years of experience in analytics engineering, data engineering, or business intelligence roles u2022 Strong experience with Power BI and data visualization, including building and modifying dashboards u2022 Experience developing and maintaining semantic models, including row-level security u2022 Experience building or supporting data warehouses and analytics data models u2022 Strong SQL skills, with experience using T-SQL or similar dialects u2022 Experience designing and supporting data pipelines and integrations u2022 Experience working in a Microsoft-based data environment (Azure, SQL Server, ADF, or similar); Microsoft Fabric experience is a plus but not required u2022 Solid understanding of data modeling techniques, including star schema and normalization u2022 Strong analytical, problem-solving, and communication skills u2022 Ability to work independently, collaborate effectively, and adapt to changing priorities Preferred Qualifications u2022 Financial services or other highly regulated industry experience u2022 Experience with Microsoft Fabric, Azure Data Factory, or Azure Purview u2022 Familiarity with Python and/or Scala for data engineering u2022 Experience with analytics automation tools such as Alteryx u2022 Experience working in Agile or Scrum environments u2022 Familiarity with source control tools such as Git u2022 Relevant data or analytics certifications Education: + 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 (u201cAIu201d) 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.

Created: 2026-01-26