701 Data Engineer With Data Bricks jobs in Houston,TX

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Amazon - Houston, TX

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Senior Completions Engineer

Houston, TX 77002

HybridHealth InsurancePaid Time OffRetirement Benefit

Bachelor's degree in petroleum engineering, Mechanical Engineering, or related field
Minimum of 6 years' experience in completion or well intervention engineering
Extensive operational planning and execution experience with coil tubing, workover, and wireline for unconventional onshore wellbores
Skilled in analyzing unconventional well performance utilizing reservoir transient analysis and production optimization through casing and well design
Broad understanding of artificial lift designs and limitations
Ability to work with multiple external teams and accomplish shared goals through the building consensus
Must be legally authorized to work full-time in the United States for any employer other than your current employer
Must not require sponsorship now or in the future for employment visa status (e.g., H-1B, TN, etc.)
Up to 10% travel should be expected with this role

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Senior Business Intelligence & Automation Analyst

McKesson

Spring, TX 77380

Hybrid~ 53 min

Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, Economics, Information Systems, or a related quantitative field, or equivalent experience
7+ years of experience as a BI Engineer, Data Analyst, Analytics Engineer, Data Engineer, or a related occupation delivering BI, analytics, and reporting solutions
Expert SQL
Data modeling and design
BI and visualization: advanced Power BI and Tableau
ETL/ELT and pipelines: hands-on experience programming to extract, transform, and clean large datasets, and building scheduled, monitored pipelines in tools such as Databricks, Microsoft Fabric, Azure Data Factory, or Snowflake
Scripting for automation: proficiency in Python or a similar language for data transformation and automation
Workflow automation: Power Automate, Power Apps, or comparable low-code tooling for reporting workflows
AI-enabled analytics (differentiator): applying LLM and GenAI capabilities to BI: automated narrative generation, conversational analytics, and agent-ready semantic layers
Executive tooling: advanced Excel and PowerPoint for analysis and executive storytelling
Demonstrated ability to establish business logic and metric definitions that turn raw data into trusted, consumable reporting
Experience communicating and presenting analytical results to senior leadership
Strong analytical skills with the ability to translate data into actionable insights
Demonstrated organizational and prioritization abilities
Ability to navigate ambiguity and deliver independently in a fast-paced transformation environment
Working knowledge of core finance concepts (ROI, forecasting, variance-to-plan, business-case and P&L; mechanics) and direct experience partnering with a finance or FP&A; team to translate financial methodology into data logic
Demonstrated ability to operate as the sole technical IC on a team, without a dedicated BI or data engineering organization to lean on for support, review, or troubleshooting