Software Development Engineer

Posted 4 Days Ago
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Hyderabad, Telangana, IND
In-Office
Mid level
Big Data • Healthtech • Information Technology • Analytics
The Role
Build and maintain scalable ETL/ELT pipelines, Snowflake data warehouse solutions, and cloud-based integrations. Develop Python automation, SQL transformations, Kafka workflows, and Airflow-orchestrated processes using AWS services. Implement Snowflake access controls and data features, ensure data quality and reliability, troubleshoot production issues, optimize performance, document architectures, and collaborate with cross-functional teams.
Summary Generated by Built In
Join one of the nation’s leading and most impactful health care performance improvement companies. Over the years, Health Catalyst has achieved and documented clinical, operational, and financial improvements for many of the nation’s leading healthcare organizations. We are also increasingly serving international markets. Our mission is to be the catalyst for massive, measurable, data-informed healthcare improvement through:
  • Data: integrate data in a flexible, open & scalable platform to power healthcare’s digital transformation​
  • Analytics: deliver analytic applications & services that generate insight on how to measurably improve​
  • Expertise: provide clinical, financial & operational experts who enable & accelerate improvement​
  • Engagement: attract, develop and retain world-class team members by being a best place to work​

Software Development Engineer (SDE) 

Role Overview 

We are seeking a motivated and detail-oriented Software Development Engineer with 2–4 years of experience in ETL/ELT, data warehousing, and cloud data engineering. The ideal candidate should have hands-on experience in building and supporting scalable data pipelines and cloud-based integration solutions across modern data platforms. 

This role requires a strong foundation in SQL, Python, ETL/ELT concepts, and cloud services, along with the ability to work collaboratively in a fast-paced engineering environment. 

Key Responsibilities 

- Design, develop, and maintain ETL/ELT pipelines for large-scale data ingestion, transformation, and loading 

- Build and optimize data warehouse solutions in Snowflake for analytics and reporting use cases 

- Work with AWS services including: 

  - AWS Glue 

  - AWS Lambda 

  - AWS SNS 

  - AWS S3 

- Support integration with additional cloud technologies and data platforms as needed 

- Develop and manage event-driven and streaming workflows using Kafka (basic to medium level) 

- Implement and maintain Snowflake capabilities such as: 
  - RBAC and ABAC 
  - Snowpipes 
  - Dynamic Tables 
- Write efficient SQL queries for transformation, validation, and analytics 
- Develop Python-based automation scripts and data processing logic 
- Build and orchestrate workflows using Airflow/Step Functions 
- Ensure data quality, consistency, and operational reliability across pipelines 
- Troubleshoot production issues and improve system performance, scalability, and maintainability 
- Collaborate with cross-functional teams to gather requirements and implement practical technical solutions 
- Document data architecture, process flows, and operational procedures 

 

 

 

Required Skills 

- 2–4 years of experience in software development, data engineering, or related roles 

- Strong understanding of ETL/ELT processes and data warehousing concepts 

- Hands-on knowledge of: 

  - AWS Glue 

  - AWS Lambda 

  - AWS SNS 

  - AWS S3 

- Working knowledge of Kafka (basic to medium level) 

- Proficiency in SQL and Python 

- Fundamentals of Snowflake: 

  - RBAC 

  - ABAC 

  - Snowpipes 

  - Dynamic Tables 

- Experience with Airflow for workflow orchestration 

- Basic to moderate exposure to other cloud technologies and services 

- Strong analytical, debugging, and problem-solving abilities 

- Strong critical thinking and a team-first mindset 

 

 Desired Skills (Not Mandatory) 

- Familiarity with Pentaho for ETL/data integration workflows 

- Exposure to additional cloud services such as: 

  - AWS EMR 

  - Redshift 

  - Athena 

  - Step Functions 

  - IAM / CloudWatch / EventBridge 

- Familiarity with distributed systems, data lakes, and streaming architectures 

- Understanding of data governance, security, and access controls in cloud environments 

 

Behavioral Competencies 

- Team player with strong collaboration skills 

- Ownership mindset and attention to detail 

- Ability to learn new technologies quickly 

- Strong communication and documentation skills 

- Capable of working in a fast-paced, agile environment 

 

Educational Qualification 

- Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field 

The above statements describe the general nature and level of work being performed in this job function.  They are not intended to be an exhaustive list of all duties, and indeed additional responsibilities may be assigned by Health Catalyst.

Studies show that candidates from underrepresented groups are less likely to apply for roles if they don’t have 100% of the qualifications shown in the job posting. While each of our roles have core requirements, please thoughtfully consider your skills and experience and decide if you are interested in the position. If you feel you may be a good fit for the role, even if you don’t meet all of the qualifications, we hope you will apply. If you feel you are lacking the core requirements for this position, we encourage you to continue exploring our careers page for other roles for which you may be a better fit.

At Health Catalyst, we appreciate the opportunity to benefit from the diverse backgrounds and experiences of others. Because of our deep commitment to respect every individual, Health Catalyst is an equal opportunity employer.

Skills Required

  • 2-4 years of experience in software development, data engineering, or a related role
  • Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field
  • Strong understanding of ETL/ELT processes and data warehousing concepts
  • Hands-on experience with AWS Glue, AWS Lambda, AWS SNS, and AWS S3
  • Working knowledge of Kafka at a basic to medium level
  • Proficiency in SQL and Python
  • Fundamental knowledge of Snowflake, including RBAC, ABAC, Snowpipes, and Dynamic Tables
  • Experience with Airflow for workflow orchestration
  • Basic to moderate exposure to other cloud technologies and services
  • Strong analytical, debugging, and problem-solving abilities
  • Strong critical thinking and a team-first mindset
  • Familiarity with Pentaho for ETL and data integration workflows
  • Exposure to AWS EMR, Redshift, Athena, Step Functions, IAM, CloudWatch, or EventBridge
  • Familiarity with distributed systems, data lakes, and streaming architectures
  • Understanding of data governance, security, and cloud access controls

Health Catalyst Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Health Catalyst and has not been reviewed or approved by Health Catalyst.

  • Healthcare Strength Health coverage is described as comprehensive, including medical, dental, vision, mental-health support, wellness reimbursements, and programs like gym subsidies and fitness options. Feedback suggests the company manages plans proactively (including self-insurance) to enhance benefits such as primary care access and wellness incentives.
  • Leave & Time Off Breadth Time off provisions are expansive, with flexible or unlimited PTO, a large holiday calendar, and paid volunteer and family leave. Feedback suggests the remote-first approach and supportive norms make it easier to take needed time without stigma.
  • Parental & Family Support Family support includes paid parental leave and adoption assistance, with additional leave options that extend beyond typical offerings. Feedback suggests these policies help employees balance caregiving with work demands.

Health Catalyst Insights

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The Company
HQ: Salt Lake City, UT
1,362 Employees
Year Founded: 2008

What We Do

Health Catalyst is dedicated to enabling health care organizations to fundamentally improve care by building the most comprehensive and fully integrated suite of healthcare data warehousing and process improvement solutions available. Health Catalyst was formed by a group of healthcare veterans with vast data warehousing and quality improvement experience. Our founders and executives collaborated for nearly a decade to revolutionize clinical process models using analytics. During development, they faced numerous hurdles in the quest to develop a data warehouse that could handle the complexities unique to healthcare data. After determining that the predominant approaches to data modeling weren’t effective for healthcare data, they discovered the solution, which is now known as the Adaptive Data Architecture. Using a late-binding bus architecture, Catalyst’s adaptive data model is agile, flexible, and can be implemented in a matter of weeks compared to the months or years traditional approaches require. Today at Health Catalyst, you’ll work with a team of experts who know that healthcare needs to change—and have made the change it needs a reality. Transforming healthcare is our passion.

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