Senior Data Engineer

🔥 15 hours ago

🤠 Texas – Remote

🤠 Texas – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 11%

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, develop, and maintain scalable data pipelines using Databricks, Apache Spark, Python, and Scala • Develop and optimize ETL/ELT processes for data ingestion, transformation, and processing across diverse data sources • Work with Hadoop and its ecosystem to process and manage large volumes of structured and unstructured data • Develop, troubleshoot, and optimize Spark applications to improve performance, scalability, and reliability • Use Control-M to schedule, monitor, and manage batch jobs, workflow dependencies, and data processing pipelines • Troubleshoot job failures, resolve data pipeline issues, and ensure timely completion of scheduled workloads • Implement data validation, error handling, and quality checks to ensure data accuracy and consistency • Collaborate with data architects, analysts, and cross-functional teams to understand requirements and deliver reliable data solutions • Follow coding standards, testing practices, version control, and deployment procedures • Support production deployments, incident resolution, and ongoing maintenance of data engineering solutions

🎯 Requirements

• 8+ years of overall Data Engineering experience • Strong hands-on experience with Databricks and Apache Spark • Proficiency in Python and Scala for data processing and application development • Hands-on experience with Hadoop and big data technologies • Experience with Control-M for batch scheduling, job monitoring, workflow orchestration, and dependency management • Strong understanding of ETL/ELT processes, data transformations, and distributed data processing • Experience in performance tuning, debugging, troubleshooting, and production support • Strong SQL skills and understanding of data management concepts • Excellent analytical, problem-solving, and collaboration skills

🏖️ Benefits

• Medical • Dental • Vision • Retirement Accounts • Long and Short Term Disability • Life Insurance • HSA/FSA Accounts (USA) • Discretionary time-off • Continuous learning and hands-on exposure to emerging technologies • Opportunities to build expertise in Generative AI, agentic AI, and next-generation data platforms • Collaboration with global AI, data, engineering, and consulting talent • Opportunities to lead strategic engagements and grow strategic client partnerships