Senior Analytics Engineer

Senior Analytics Engineer

LRS Consulting Services is seeking an Analytics Engineer for a contract to hire opportunity with our client in Dallas, Texas. Position Summary The Senior Analytics Engineer designs, builds, and supports high-quality data products supported through data pipelines and data integrations, and/or data visualizations. It is critical to ensure reliability, performance, and cost efficiency while maintaining thorough documentation. The Senior Analytics Engineer will use new and established automation and integration tools, Information Architecture strategy, frameworks, critical thinking, and problem-solving skills to build and support the ongoing development of data products. The ideal candidate is outcome-focused and has a collaborative style that fosters teamwork. They will be required to work across multiple initiatives.

Duties & Responsibilities

• Design, create and support high-quality data products
• Build and manage data warehouses and data lakes
• Design and build data pipelines, data flows, and/or data visualizations to support data products
• Develop and maintain semantic models
• Focus on DevOps processes, reliability, performance, and cost optimization
• Maintain thorough documentation for all processes and products
• Ensure adherence to Data Governance outcomes as part of the Enterprise Data & Analytics Team
• Implement data quality checks and validation processes to ensure data accuracy and reliability
• Collaborates with Data Services leadership to prioritize product roadmap
• Drive the adoption of new data technologies and tools to enhance data processing capabilities
• Lead cross-functional groups in large-scale data projects, ensuring alignment with business objectives
• Mentor junior engineers and provide technical guidance on best practices

Skills & Qualifications

Education

BA/BS and or MBA or MS preferred

Certifications related to data and analytics engineering (e.g., Azure Data Factory, Microsoft Fabric, Power BI) preferred; Microsoft Fabric Analytics Engineer Associate will be required within 90 days if not already achieved

Required Qualifications

5-7+ years of data/analytics engineering experience

Proficiency in SQL with knowledge of T-SQL and PL/SQL

Proficient in data engineering techniques, data pipeline development and/or data visualization development

Applied experience transforming manual processes to industry standards

Requires excellent analytical ability, attention to detail, and proven ability to work independently and in a team

Ability to quickly adapt to changing priorities and generate innovative solutions

Proficient understanding of conceptual and logical data design

Proficient understanding of data mapping and lineage strategies

Proficient understanding of data modeling techniques such as 3rd normal form and star schema

Preferred Qualifications

Financial services industry experience or other highly regulated industry experience

Applied experience in Agile, SAFe, Scrum or Lean Six Sigma

Familiarity data engineering development using Python and/or Scala

Demonstrated understanding of data management practices and data governance process; familiarity with data governance tools such as Azure Purview

Certifications related to Data Analytics and/or Data Engineering

Familiar with building data pipeline / analytics solutions in a cloud data architecture, experience with Azure Data Solutions including Microsoft Fabric

Familiarity with analytics process automation tools such as Alteryx

Familiarity with object-oriented programming and the software development process

Familiarity with source control tools such as git

Additional Details

The base range for this contract position is $70 - $80 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.