Data Support Engineer

Svitla Systems Inc. is looking for a Support Engineer Associate for a full-time position (40 hours per week) in Mexico. Our client is the leading, clinically driven, customer-first pharmacy benefits management (PBM) company, putting the pharmacist at the center of the pharmacy care model. The company provides a platform that centralizes pharmacists in the service model to optimize medication therapies and reduce costs.

Using AI-powered population health analytics, pharmacists work directly with prescribers, dispensing pharmacies, and members to coordinate pharmacy care. It enables plan sponsors to measurably improve their member health outcomes while substantially reducing prescription drug costs. The company serves sectors that require pharmacy benefits management and healthcare outcome improvement. With major offices in Montvale, NJ, and Orlando, FL, they celebrated their 10th anniversary in 2024.

You will join the production support side team, ensuring that the files they receive and send contain the correct data, responding to incidents, eligibility issues, and issues related to accumulators. The client wants to expand the monitoring capability to automate it, but they still need personnel to check and ensure everything is working correctly physically. They will be assigned to TPA – third-party administrators (6-8 to each), which could be vendors or multiple clients.

The administrators will have 30-40 clients to whom they will be reporting, and they will be monitoring everything in this space (eligibility, accumulation pieces, etc.).

Working hours are 12:00 p.m. EST – 8:00 p.m. EST. Holidays and weekends are also covered, with a day-by-day rotation across the team.

What You Need:

• Experience working in Healthcare domain is a must.

• Minimum 4 years of experience in a related field.

• Bachelor’s degree in Computer Science, Information Technology, or a related discipline

• 3+ years of Python experience

• Knowledge of Python programming, PySpark and SQL

• 3+ years of RDBMS experience

• 3+ years of Azure Databricks or ADF

• Familiarity with pharmacy, health insurance, medical and pharmacy claims processing, eligibility structure, and accumulators is a must

• Experience with regulated data controls such as GDPR, HIPAA, PHI, PII, etc.

• Detail-oriented with a commitment to producing accurate and reliable results

• Effective communication skills and ability to work collaboratively in a team environment

• Strong analytical mindset and problem-solving skills, able to take initiative, find answers, able to din into the cause and find solutions, make recommendations, dig for information

• Demonstrate critical thinking and time-management skills

• Proficiency in troubleshooting and resolving technical issues

Working hours:

12pm EST – 8pm EST

holidays and weekends are also covered, they will have day by day rotation across the team.

• Have peak periods- Q4-Q1. During Christmas and New Year – try to limit the number of vacation. Communicate this in advance

• As a Support Engineer Associate, you will play a crucial role in supporting our data team with various tasks related to data processing, analysis, and reporting. This position is ideal for a professional with a strong foundation in Python, PySpark, and SQL in a real-world data environment.
• • Data Processing and Analysis
• ◦ Contribute to the development and implementation of data processing pipelines
• ◦ Assist in cleaning, transforming, and analyzing large datasets to extract meaningful insights
• ◦ Provide technical support for customers, assisting with product-related issues, troubleshooting, and escalations
• ◦ Analyze, diagnose, and resolve data pipeline issues in a timely and efficient manner
• ◦ Test database pipeline architectures when appropriate, providing feedback to data engineering organization
• ◦ Collaborate with the data team to write Python code for data manipulation and analysis
• ◦ Participate in the development and improvement of scripts and tools for data-related tasks
• ◦ Execute SQL queries to retrieve, update, and manipulate data within relational databases
• ◦ Work closely with team members to ensure data integrity and optimize database…