Work Location: United States
Work Mode : Remote
Pay Range :$110K-$130K /Yr Base + Annual Bonus
The posted range is the hiring range for this role — a subset of the broader range available to employees over time — and reflects base salary across our national hiring scale. Final offers are based on several factors, including the candidate's skills and experience, internal pay equity, work location, market conditions for the role, and the specific scope and responsibilities of the position. The top of the range is reserved for candidates who notably exceed the requirements; the lower end applies to those with less experience or fewer preferred qualifications. For positions based in higher-cost zones (e.g., California, New York, New Jersey), actual compensation may exceed the posted range; your recruiter will share specifics during the process
For more information on benefits and what we offer please visit us at https://www.exlservice.com/us-careers-and-benefits
Job Overview:
We are seeking a skilled Data Engineer to join our team. The successful candidate will be responsible for development and optimization of data pipelines, implementing robust data checks, and ensuring the accuracy and integrity of data flows. This role is critical in supporting data-driven decision-making processes, especially in the context of our insurance-focused business operations
ResponsibilitiesKey Responsibilities:
- Collaborate with data analysts, reporting team and business advisors to gather requirements and define data models that effectively support business requirements
- Develop and maintain scalable and efficient data pipelines to ensure seamless data flow across various systems adddress any issues or bottlenecks in existing pipelines.
- Implement robust data checks to ensure the accuracy and integrity of data. Summarize and validate large datasets to ensure they meet quality standards.
- Monitor data jobs for successful completion. Troubleshoot and resolve any issues that arise to minimize downtime and ensure continuity of data processes.
- Regularly review and audit data processes and pipelines to ensure compliance with internal standards and regulatory requirements
- Familiar with working on Agile methodologies - scrum, sprint planning, backlog refinement etc.
Candidate Profile:
- 7-12 years experience on Data Engineering role working with Databricks and any Cloud technologies- AWS , Azure , Databricks.
- Bachelor’s degree in computer science, Information Technology, or related field.
- Strong proficiency in PySpark, Python, SQL.
- Strong experience in data modeling, ETL/ELT pipeline development, and automation
- Hands-on experience with performance tuning of data pipelines and workflows
- Proficient in working on any cloud components Azure Data Factory, Azure DataBricks, Azure Data Lake , S3, Lamda.
- Experience with data modeling, ETL processes, Delta Lake and data warehousing.
- Experience on Delta Live Tables, Autoloader & Unity Catalog.
- Preferred - Knowledge of the insurance industry and its data requirements.
- Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
- Excellent communication and problem-solving skills to work effectively with diverse teams
- Excellent problem-solving skills and ability to work under tight deadlines.
Skills Required
- 7-12 years experience in Data Engineering working with Databricks and cloud technologies (AWS, Azure, Databricks).
- Bachelor's degree in Computer Science, Information Technology, or related field.
- Strong proficiency in PySpark, Python, and SQL.
- Experience in data modeling, ETL/ELT pipeline development, and automation.
- Hands-on experience with performance tuning of data pipelines and workflows.
- Proficient with cloud components: Azure Data Factory, Azure Databricks, Azure Data Lake, AWS S3, AWS Lambda.
- Experience with Delta Lake and data warehousing.
- Experience with Delta Live Tables, Autoloader, and Unity Catalog.
- Familiarity with Agile methodologies (Scrum, sprint planning, backlog refinement).
- Strong analytical skills with attention to detail and accuracy.
- Excellent communication and problem-solving skills.
- Knowledge of the insurance industry and its data requirements.
What We Do
Choosing a digital partner is about more than capabilities — it’s about collaboration and character. Unrealistic overhauls and off-the-shelf products ignore what matters most — your unique needs, culture, goals, and your legacy data and technology environments. At EXL, our collaboration is built on ongoing listening and learning to adapt our methodologies. We’re your business evolution partner—tailoring solutions that make the most of data to make better business decisions and drive more intelligence into your increasingly digital operations. Whether your goals are scaling the use of AI and digital, redesign operating models, or driving better and faster decisions, we’re here to partner with you to help you gain—and maintain—competitive advantage with efficient, sustainable models at scale. Our expertise in transformation, data science, and change management helps make your business more efficient and effective, improve customer relationships and enhance revenue growth. Instead of focusing on multi-year, resource- and time-intensive platform designs or migrations, we look deeper at your entire value chain to integrate strategies with impact. We use our specialization in analytics, digital interventions, and operations management—alongside deep industry expertise — to deliver solutions that help you outperform the competition. At EXL, it’s all about outcomes—your outcomes—and delivering success on your terms. Share your goals with us and together, we’ll optimize how you leverage data to drive your business forward. For more information, visit www.exlservice.com.
