LRS Consulting Services is seeking an Analytics Engineer for a contract to hire opportunity with our client in Dallas, Tx.

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 productsBuild and manage data warehouses and data lakesDesign and build data pipelines, data flows, and/or data visualizations to support data productsDevelop and maintain semantic modelsFocus on DevOps processes, reliability, performance, and cost optimizationMaintain thorough documentation for all processes and productsEnsure adherence to Data Governance outcomes as part of the Enterprise Data & Analytics TeamImplement data quality checks and validation processes to ensure data accuracy and reliabilityCollaborates with Data Services leadership to prioritize product roadmapDrive the adoption of new data technologies and tools to enhance data processing capabilitiesLead cross-functional groups in large-scale data projects, ensuring alignment with business objectivesMentor junior engineers and provide technical guidance on best practices  

Skills & Qualifications Education

BA\BS and or MBA or MS preferredCertifications 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 experienceProficiency in SQL with knowledge of T-SQL and PL/SQLProficient in data engineering techniques, data pipeline development and/or data visualization developmentApplied experience transforming manual processes to industry standardsRequires excellent analytical ability, attention to detail, and proven ability to work independently and in a teamAbility to quickly adapt to changing priorities and generate innovative solutionsProficient understanding of conceptual and logical data designProficient understanding of data mapping and lineage strategiesProficient understanding of data modeling techniques such as 3rd normal form and star schema

Preferred Qualifications

Financial services industry experience or other highly regulated industry experienceApplied experience in Agile, SAFe, Scrum or Lean Six SigmaFamiliarity data engineering development using Python and/or ScalaDemonstrated understanding of data management practices and data governance process; familiarity with data governance tools such as Azure PurviewCertifications related to Data Analytics and/or Data EngineeringFamiliar with building data pipeline / analytics solutions in a cloud data architecture, experience with Azure Data Solutions including Microsoft FabricFamiliarity with analytics process automation tools such as AlteryxFamiliarity with object-oriented programming and the software development processFamiliarity with source control tools such as gitAdditional DetailsThe 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.