Senior Databricks Engineer

🔥 2 hours ago

🤠 Texas – Remote

🤠 Texas – Remote

⏰ Full Time

🟠 Senior

👷🏻‍♀️ Engineer

👻 Ghost score 12%

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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EXL

WebsiteLinkedInAll Job Openings

10,000+ employees

🏥 Healthcare

🛡️ Insurance

📦 Logistics

💰 $2M Venture Round on 2015-01

Healthcare • Insurance • Logistics

EXL is a business consulting and services firm that focuses on leveraging data to enhance business operations and decision-making. With a strong emphasis on collaboration and adaptability, EXL partners with organizations to address their unique needs and culture while integrating data science and technology solutions. The company's areas of expertise include operations management, decision analytics, digital transformation, and various industries such as healthcare, finance, and insurance. EXL's mission is to help clients drive business evolution and maintain competitive advantage through tailored solutions and effective use of data.

📋 Description

• Design and implement scalable data solutions using Databricks Lakehouse architecture • Develop and optimize batch and real-time data pipelines for large-scale data processing • Lead technical solution design for data integration, transformation, and analytics workloads • Collaborate with business stakeholders, data engineers, analysts, and product teams to translate requirements into technical solutions • Implement data governance, security, and data quality best practices using Unity Catalog and related technologies • Optimize performance, reliability, and cost efficiency of Databricks workloads • Support data warehouse modernization and cloud migration initiatives • Create architecture documentation, technical standards, and design guidelines • Troubleshoot complex data platform issues and provide technical recommendations • Stay current with Databricks and cloud platform capabilities and drive adoption of best practices • Deliver high-quality data platforms supporting analytics, reporting, and operational decision-making

🎯 Requirements

• Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field • Minimum 5 years of experience in data engineering, data architecture, or related technical roles • Hands-on experience with Databricks in enterprise environments • Strong knowledge of PySpark, Spark SQL, Python, and SQL • Experience designing and implementing Lakehouse architectures • Experience building scalable ETL/ELT data pipelines • Strong understanding of data modeling, data warehousing, and analytics platforms • Experience working with structured and unstructured data • Strong problem-solving and communication skills • Ability to work independently in a remote environment • Experience implementing data governance and security frameworks • Required Databricks Certified Data Engineer Associate certification • Required Databricks Certified Data Engineer Professional certification • Healthcare industry experience, including claims, clinical, provider, member, or revenue cycle data, preferred • Experience with Azure, AWS, or GCP cloud platforms preferred • Exposure to machine learning and AI/ML workloads on Databricks preferred • Cloud platform certifications preferred

🏖️ Benefits

• Full-time remote work arrangement • Individual contributor role • Opportunity to work on healthcare analytics and modern data architecture initiatives