Senior Data Engineer, PySpark & Azure
Company Overview and Culture
EXL (NASDAQ: EXLS) is a global analytics and digital solutions company that partners with clients to improve business outcomes and unlock growth. Bringing together deep domain expertise with robust data, powerful analytics, cloud, and AI, we create agile, scalable solutions and execute complex operations for the world’s leading corporations in industries including insurance, healthcare, banking and financial services, media, and retail, among others. Focused on creating value from data for driving faster decision-making and transforming operating models, EXL was founded on the core values of innovation, collaboration, excellence, integrity and respect. Headquartered in New York, our team is over 40,000 strong, with more than 50 offices spanning six continents. For information, visit www.exlservice.com.
For the past 20 years, EXL has worked as a strategic partner and won awards in its approach to helping its clients solve business challenges such as digital transformation, improving customer experience, streamlining business operations, taking products to market faster, improving corporate finance, building models to become compliant more quickly with new regulations, turning volumes of data into business opportunities, creating new channels for growth and better adapting to change. The business operates within four business units: Insurance, Health, Analytics, and Emerging businesses.
About EXL Health
We leverage Human Ingenuity and domain expertise to help clients improve outcomes, optimize revenue and maximize profitability across the healthcare ecosystem. Technology, data and analytics are at the heart of our solutions. We collaborate closely with clients to transform how care is delivered, managed and paid.
EXL Health combines deep domain expertise with analytic insights and technology-enabled services to transform how care is delivered, managed, and paid. Leveraging Human Ingenuity, we collaborate with our clients to solve complex problems and enhance their performance with nimble, scalable solutions. With data on more than 260 million lives, we work with hundreds of organizations across the healthcare ecosystem.
We help payers improve member care quality and network performance, manage population risk, and optimize revenue while decreasing administrative waste and reducing health claim expenditures. We help Pharmacy Benefit Managers (PBMs) manage member drug benefits and reduce drug spending while maintaining quality. We help provider organizations proactively manage risk, improve outcomes, and optimize network performance. We provide Life Sciences companies with enriched data, insights through advanced analytics and data visualization tools to get the right treatment to the right patient at the right time.
US citizenship required
In this dynamic role as Senior Data Engineer, you'll transform analytical Python models into sleek, efficient object-oriented code while crafting scalable, high-quality solutions that make a real impact. You'll be at the forefront of innovation, developing, deploying, testing, and maintaining vital technical assets in a secure environment. Collaborate closely with talented development and business teams, participate in exciting architecture and design sessions, and drive projects to success. If you're ready to elevate your career and shape the future of data engineering, we want to hear from you!
Responsibilities
- Must possess OOP’s concepts and will require converting Python code written for analytical models to more stable, reliable & performant/efficient Python/PySpark code using OOP’s
- Produce scalable and flexible, high-quality code that satisfies both functional and non-functional requirements
- Develop, deploy, test, and maintain technical assets in a highly secure and integrated enterprise computing environment
- Responsible for participating in architecture, data modeling, and overall design sessions
- Co-ordinate with development & business teams to ensure the smooth execution of the project
- Collaborate/communicate with on-site project team and business users as required
Qualifications
Required:
- Must hold United States citizenship status
- Ability to obtain Federal Security Clearance required. Current DOD Security Clearance preferred
- 8+ Years of experience in coding languages such as Python & PySpark
- 8+ years of experience in using Azure Cloud Services such Synapse & Data Bricks & Data Factory
- Good knowledge on MS SQL
- Experience in Extract, Transform & Load (ETL)
- Experience in migration from On Prem ETL process to ETL process on the Cloud
- Bachelor's degree in computer or related field.
Preferred:
- Knowledge of working on US healthcare claims data
- Experience working in Agile methodologies (SCRUM) environment and familiar with iterative development cycles
- Strong problem solving and analytical skills and the ability to “roll up your sleeves” and work to create timely solutions and resolutions, to validate, verify, communicate, and resolve application issues.
- Experience in SAS or Big Data Technologies such as Hadoop/Hive
- Stack overflow account score
- Technical blogs & technical write-ups
- Part of any open-source contributions
- Adhere to Software Development Life Cycle (SDLC)
- Ability to work on multiple product features simultaneously
- Quick learner with ability to understand product’s functionality end to end
What We Offer
- EXL Health offers an exciting, fast paced, and innovative environment, which brings together a group of sharp and entrepreneurial professionals who are eager to influence business decisions.
- From your very first day, you get an opportunity to work closely with highly experienced, world class Healthcare consultants.
- You can expect to learn many aspects of businesses that our clients engage in. You will also learn effective teamwork and time-management skills - key aspects for personal and professional growth.
- We provide guidance/ coaching to every employee through our mentoring program wherein every junior level employee is assigned a senior level professional as advisors.
- Sky is the limit for our team members. The unique experiences gathered at EXL Health sets the stage for further growth and development in our company and beyond.
To view our total rewards offered click here —> https://www.exlservice.com/us-careers-and-benefits
Base Salary Range Disclaimer: The base salary range represents the low and high end of the EXL base salary range for this position. Actual salaries will vary depending on factors including but not limited to: location and experience. The base salary range listed is just one component of EXL's total compensation package for employees. Other rewards may include bonuses, as well as a Paid Time Off policy, and many region specific benefits.
Application & Interview Impersonation Warning – Purposely impersonating another individual when applying and / or participating in an interview in order to obtain employment with EXL Service Holdings, Inc. (the “Company”) for yourself or for the other individual is a crime. We have implemented measures to deter and to uncover such unlawful conduct. If the Company identifies such fraudulent conduct, it will result in, as applicable, the application being rejected, an offer (if made) being rescinded, or termination of employment as well as possible legal action against the impersonator(s).
EXL may use artificial intelligence to create insights on how your candidate information matches the requirements of the job for which you applied. While AI may be used in the recruiting process, all final decisions in the recruiting and hiring process will be taken by the recruiting and hiring teams after considering a candidate’s full profile. As a candidate, you can choose to opt out of this artificial intelligence screening process. Your decision to opt out will not negatively impact your opportunity for employment with EXL.
Other details
- Pay Type Salary
- Employment Indicator Regular
- Min Hiring Rate $90,000.00
- Max Hiring Rate $120,000.00
- Travel % 5
- Telecommute % 100
- Required Education Bachelor’s Degree
- Atlanta, GA, USA
- Boston, MA, USA
- Charleston, SC, USA
- Chicago, IL, USA
- Dallas, TX, USA
- Houston, TX, USA
- Jacksonville, FL, USA
- Miami, FL, USA
- Minneapolis, MN, USA
- Nashville, TN, USA
- Washington, DC, USA
- Virtual