Analytics Engineer: Data Lakehouse & AI Enablement

Baker Botts; Austin (TX); Hybrid; USD 120,000 - 180,000; Full time

Job summary

Baker Botts is building its Enterprise Data Services team and is seeking an Analytics Engineer to transform enterprise data into trusted, analytics-ready assets that support reporting, BI, and AI initiatives across the firm.

You'll design and maintain data transformations in Azure Databricks, own Silver/Gold datasets, ensure data quality, and partner with business stakeholders to deliver scalable data solutions that enable meaningful insights and decision-making across practice areas.

Qualifications

• 5–7 years in analytics engineering, data engineering, BI, or related field.
• Strong Python skills for data transformation, automation, and validation.
• Hands-on Azure Databricks experience with notebooks, workflows, Delta Lake, and Unity Catalog.
• Experience with PySpark for large-scale datasets.
• Experience building semantic models or analytical data marts.
• Experience designing analytics-ready datasets and data models.
• Experience with Power BI or Tableau.
• Strong data quality, validation, testing, and governance practices.
• Experience with cloud-based data platforms and modern lakehouse architectures.
• Ability to translate business requirements into scalable data solutions.
• Excellent written and verbal communication; able to explain concepts to technical and non-technical audiences.
• Proven ability to work independently and with cross-functional teams.

Responsibilities

• Partner with stakeholders to translate requirements into scalable data solutions.
• Define and implement business rules, transformation logic, data lineage, and quality checks.
• Build Bronze-to-Silver/Gold datasets for reporting, analytics, and AI use cases.
• Maintain curated datasets, metrics, and analytical data products.
• Develop PySpark-based workflows and Databricks jobs.
• Perform data profiling, validation, and testing for trustworthy downstream reporting.
• Support dashboards and analytics by providing clean datasets.
• Collaborate with source system owners to resolve quality issues.
• Participate in code reviews and CI/CD with Enterprise Applications & Integrations team.
• Identify opportunities for advanced analytics and AI-enabled solutions.

Skills

Python

Data transformation

Data quality & governance

Communication skills

Independent worker

Stakeholder engagement

Tools

Azure Databricks

PySpark

Delta Lake

Unity Catalog

Power BI / Tableau

Job description

Baker Botts is building its Enterprise Data Services team and is seeking an Analytics Engineer to transform enterprise data into trusted, analytics-ready assets that support reporting, BI, and AI initiatives across the firm.

You'll design and maintain data transformations in Azure Databricks, own Silver/Gold datasets, ensure data quality, and partner with business stakeholders to deliver scalable data solutions that enable meaningful insights and decision-making across practice areas.