Senior Data Engineer

🕒 September 23

🌽 Illinois, Texas – Remote

🌽 Illinois – Remote 🤠 Texas – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Tiger Analytics

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2011

🏥 Healthcare

📦 Logistics

📣 Marketing

Healthcare • Logistics • Marketing

Tiger Analytics is a leading AI and analytics consulting firm that specializes in leveraging data science and machine learning to provide strategic business insights across various industries. They offer services in data strategy, AI engineering, and business intelligence to enable data-driven decision-making and digital transformation for their clients. Tiger Analytics collaborates with top technology partners like Microsoft, Google Cloud, and AWS to deliver cutting-edge solutions. They serve a diverse range of sectors including consumer packaged goods, healthcare, and finance, helping businesses operationalize insights and differentiate with AI and machine learning technologies.

📋 Description

• Design, build, and maintain scalable ETL/ELT pipelines • Architect and manage secure enterprise cloud storage • Ingest and process high-volume batch data and real-time streaming workloads • Optimize database queries, PySpark jobs, and data pipeline performance • Collaborate with BI and analytics teams to model dimensional data marts for reporting • Implement data governance, automated data quality validation, and end-to-end lineage tracking • Secure data pipelines and storage using Azure RBAC, Key Vaults, and encryption standards • Automate infrastructure deployments and code releases using Azure DevOps, GitHub Actions, and CI/CD best practices • Collaborate with data scientists, analysts, and AI teams to support analytics, machine learning, and Generative AI initiatives

🎯 Requirements

• Experience designing, building, and maintaining scalable data pipelines • Experience with Azure Data Factory, Azure Synapse, and Azure Databricks • Experience architecting and managing secure enterprise cloud storage • Experience with ADLS Gen2, Delta Lake, and relational/NoSQL databases • Experience processing high-volume batch data and real-time streaming workloads • Experience optimizing database queries, PySpark jobs, data pipelines, execution time, and cloud costs • Experience modeling dimensional data marts using Star/Snowflake schemas • Knowledge of data governance, automated data quality validation, and end-to-end lineage tracking • Experience with Microsoft Purview • Experience securing pipelines and storage using Azure RBAC, Key Vaults, and encryption standards • Experience automating infrastructure deployments and code releases using Azure DevOps, GitHub Actions, and CI/CD best practices

🏖️ Benefits

• Significant career development opportunities • Small, challenging, and entrepreneurial environment • High degree of individual responsibility • Equal employment opportunities regardless of protected characteristics