Job Title: Sr Data Engineer
Location: Hyderabad, India
Employment Type: Full-time
About NationsBenefits:
NationsBenefits is recognized as one of the fastest-growing companies in America and a leading Healthcare Fintech provider. We specialize in supplemental benefits, flex cards, and member engagement solutions.
Partnering with managed care organizations, we offer innovative healthcare solutions that drive growth, improve outcomes, reduce costs, and deliver value to members.
Through our comprehensive suite of supplemental benefits, fintech payment platforms, and member engagement solutions, we enable health plans to provide high-quality benefits that address social determinants of health, ultimately improving member health outcomes and satisfaction.
We offer a dynamic and fulfilling work environment that attracts top talent, where associates are encouraged to contribute to delivering premier service to both internal and external customers. Our goal is to transform the healthcare industry for the better! We provide opportunities for career advancement across multiple locations in the US, South America, and India.
Position Overview:
As a Data Engineer, you will be responsible for the Requirement Gathering, Data Analysis, Development and implementation of Orchestrated data pipeline solutions to support our organization's data-driven initiatives to ensure data accuracy and enable data-driven decision-making across the organization. The ideal candidate will possess a minimum of 6+ years of hands-on experience in data engineer on high-performing teams. Expertise in DBT, Airflow, Azure Databricks, SQL, Python, Py-spark, Automation is a must and knowledge of reporting tools is addon.
Key Responsibilities:
· 7+ years of hands-on experience using DBT. Airflow, Azure Databricks, Python, Py-spark and SQL , Preferred from
Healthcare & Fintech Domain having Automation First Mindset.
· Hands-on experience with Data Collection, Data Analysis, Data modeling, Data Processing using DBT, Airflow, Azure
Databricks, Py-spark, SQL, Python.
· Performance Optimization and Automation: Continuously monitor and optimize existing solutions and Debugging DAG failures and resolving.
· Data Processing: Leverage his expertise building Robust Data pipelines using mentioned tech stack with CI/CD.
· Collaboration: Collaborate with cross-functional teams, including data scientists, business analysts, and stakeholders, to understand their data needs and deliver solutions.
· Data Quality: Implement data validation and cleansing processes to ensure data accuracy, consistency, and reliability.
· Influence: bring right solution for use cases and convince the team to use.
· Open to Ad hoc Data Analysis and Reporting/Dashboard Development: Perform exploration data analysis, develop data visualizations, and generate actionable insights to support business decision-making.
· Stay Current: Stay up to date with emerging trends and technologies in data engineering and analytics and make recommendations for their adoption.
Requirements:
· Bachelor’s degree in computer science, Information Technology, or a related field.
· Minimum 3+ years of hands-on experience using DBT. Airflow, Azure Databricks, Py-spark, SQL, Python, Automation
· Flexible to build Data Reports and Dashboards using SQL, Python, Reporting Tools
· Strong Debugging and Automation skills
· Strong understanding of DWH/Data Lake concepts and methodologies.
· Experience with cloud platforms such as Azure, AWS or GCP
· Excellent communication, Presentation and interpersonal skills
· Excellent problem-solving skills and attention to detail
· Knowledge of data quality, data Validation, data security and compliance standards is a plus.
Skills Required
- Bachelor's degree in Computer Science, Information Technology, or related field
- 6+ years hands-on experience as a Data Engineer
- Hands-on experience with dbt
- Hands-on experience with Airflow
- Hands-on experience with Azure Databricks / Databricks
- Hands-on experience with Python
- Hands-on experience with PySpark
- Strong SQL skills
- Experience with CI/CD and automation-first practices
- Experience with data modeling, data processing, DWH/Data Lake concepts
- Experience with cloud platforms such as Azure, AWS or GCP
- Experience building reports and dashboards using SQL, Python and reporting tools
- Strong debugging skills including resolving Airflow DAG failures
- Excellent communication, presentation and interpersonal skills
- Experience in Healthcare and/or Fintech domain
- Knowledge of data quality, validation, data security and compliance standards
NationsBenefits Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NationsBenefits and has not been reviewed or approved by NationsBenefits.
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Fair & Transparent Compensation — Pay is frequently characterized as decent or good for certain entry-level and frontline roles, with timely pay also highlighted. Compensation is sometimes positioned as competitive relative to the work performed in those positions.
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Leave & Time Off Breadth — Unlimited PTO is described as available for some salaried roles, which can increase perceived flexibility. Paid holidays and paid time off are presented as part of the standard package for eligible employees.
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Wellbeing & Lifestyle Benefits — A fitness stipend and occasional company-sponsored outings or training-related perks are included among the extra benefits. These additions can modestly strengthen the overall rewards experience beyond core insurance.
NationsBenefits Insights
What We Do
NationsBenefits® is a leading supplemental benefits company providing managed care organizations with innovative healthcare solutions helping to promote independence, health, and well-being for more than 20 million members across the U.S. When the company was founded in 2015 by Glenn Parker, M.D., we set out to disrupt the healthcare industry. In 2020, we rebranded to NationsBenefits to expand the company’s core offering and broaden the scope of our clinically focused services. Today, we surpass traditional benefit management programs by helping our health plan partners drive growth, improve outcomes, reduce costs, and delight members. Our best-in-class service model engages members in meaningful and measurable ways with technology-based solutions tailored to the unique needs of each population.
