Data Engineer

🔥 14 hours ago

🇺🇸 United States – Remote

💵 $85k - $140k / year

⏰ Full Time

🟠 Senior

🔴 Lead

🚰 Data Engineer

👻 Ghost score 3%

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

• Define and champion the architectural roadmap and best practices for end-to-end data pipelines, ensuring scalability, reliability, and security • Mentor engineers, conduct code reviews, and drive project timelines for rapid delivery of data products • Partner with Data Scientists, Analysts, and business stakeholders to translate requirements into production-ready data solutions • Collaborate with Data Scientists and ML Engineers on data accessibility, model development support, and data quality assurance • Design, build, and optimize high-volume data ingestion and transformation jobs using dbt Core and AWS Glue • Develop and maintain modular, reusable data pipelines using orchestrators such as Dagster • Implement and manage real-time data flows using Confluent platforms or native AWS streaming services such as Kinesis • Implement data anonymization and comply with data security and privacy regulations • Implement and maintain the Iceberg open table format for schema evolution and data management • Optimize query performance and cost efficiency across Snowflake, Amazon Redshift, and AWS Athena • Integrate monitoring and observability into pipelines using Splunk to identify bottlenecks and troubleshoot production issues

🎯 Requirements

• 10+ Years of hands-on, progressive experience in Data Engineering, Data Architecture, or a closely related Full-Stack Data role • Deep conceptual understanding of core data engineering principles, ETL/ELT patterns, and metadata management • Proven track record of building and managing petabyte-scale data infrastructure in a cloud-native environment • Insurance industry experience preferred but not mandatory • Experience with AWS, including S3, IAM, and VPC • Experience with Talend, dbt Core, Iceberg, AWS Glue Catalog, Snowflake, Redshift, Athena, Splunk, AWS streaming services, and Git • Strong SQL, PySpark, and Python • Familiarity with DataOps and DevOps fundamentals

🏖️ Benefits

• Annual bonus • Benefits information provided at https://www.exlservice.com/us-careers-and-benefits • Remote work / work from home