Hiring: Analytics Engineer Company: Baker Botts Location: Austin, TX Job Posted Time: 2026-09-16 12:38:31 Employment Type: Full-time / Hybrid Target Skills & Keywords : Azure, CI/CD, Data Lake, Databricks, Delta Lake, Machine Learning, PySpark, Python, SQL About the job Experience: •5-7 years of experience in analytics engineering, data engineering, data analytics, business intelligence, or related field. •7 years of experience in analytics engineering, data engineering, data analytics, business intelligence, or related field. Required Skills: •Baker Botts is building its Enterprise Data Services team and is seeking an Analytics Engineer to help transform enterprise data into trusted, analytics-ready assets that support reporting, business intelligence, and AI initiatives across the firm. •Working primarily within Azure Databricks and Entegrata, this role focuses on designing and maintaining data transformations, implementing business logic, ensuring data quality, and creating curated datasets that enable meaningful insights and decision-making. •Partner with business stakeholders and the EAI team to understand enterprise reporting and analytical requirements, translating them into scalable technical and data solutions. •Define, document, and implement business rules, transformation logic, calculations, enrichment processes, data lineage, and data quality checks required to transform raw data into business-ready information aligned to business stakeholder needs and support governance efforts. •Use Bronze-layer data to develop pipelines and transformations that create trusted Silver and Gold datasets for reporting, analytics, and AI use cases. •Maintain curated datasets, reusable metrics, and analytical data products that support firmwide reporting and self-service analytics. •Build, maintain, and optimize PySpark-based workflows, Delta Lake assets, and Databricks jobs. •Perform data profiling, reconciliation, validation, and testing to ensure confidence in downstream reporting and decision-making. Qualifications: •Strong Python skills, including experience building data transformation, automation, and validation processes. •Applied hands-on capability in Azure Databricks, including notebooks, workflows, Unity Catalog, Delta Lake, job orchestration, and performance optimization. •In-depth knowledge of data quality, validation, testing, and governance practices. •Demonstrated capacity to translate business requirements into scalable data solutions and meaningful analytical outputs. •Strong written and verbal communication skills, including the ability to explain technical concepts to both technical and non-technical audiences. •Proven ability to work independently while collaborating effectively across technical and business teams. •Operational familiarity with medallion architecture and modern lakehouse design patterns. Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!