What You'll Need :
5+ years hands-on experience with a combination of :
- Python software development for data pipelines and automation.
- SQL mastery including writing complex, highly-optimized queries and designing dimensional data models.
- Building and maintaining data transformation pipelines using tools like dbt, SQL, and Python.
- Building and maintaining data integration (ETL / ELT) pipelines using SQL, EMR, Python and Spark.
- Working with columnar databases (e.g., Redshift, Snowflake) and optimizing for query performance.
- Distributed data processing (Hadoop, Spark, Hive).
- ETL / ELT with batch (AWS Data Pipeline, Airflow) and streaming (Kinesis, Kafka).
- Designing semantic layers, metrics, and business logic for analytics consumption.
- Integration with Business Intelligence tools (e.g., Looker, QuickSight, Tableau).
- Creating scalable, well-documented data models following dimensional modeling best practices.
- Experience with modern analytics engineering tools and practices (e.g., dbt, data modeling, testing frameworks, version control for analytics code).
- Experience using tools like Cursor / ChatGPT to speed up coding and testing, improve documentation, and raise code quality (maintainability, readability, security, performance) is strongly preferred.
- Strong understanding of data modeling concepts (star schema, dimensional modeling, slowly changing dimensions).
- Experience working with data lakes and contributing to automation and simplification improvements across the data ecosystem.
- Experience owning features from design through delivery along with ongoing support.
- Strong ability to communicate effectively with both technical and non-technical stakeholders, translating business requirements into technical solutions.
- Experience partnering with analysts, data scientists, and business teams to define metrics, KPIs, and reporting requirements.
- Experience mentoring junior engineers and analysts, and promoting best practices for data management, quality, and governance.
- Graduate degree in Computer Science, Information Systems, or related field.
- Extra consideration will be given to those with Healthcare-relevant company experience, with demonstrated industry knowledge of handling sensitive information.
Why Join Us :
It is rare to have a company that both deeply impacts its customers and is able to provide its services across a massive population.
At Blink, we have a huge impact on people when they are most vulnerable : at the intersection of their healthcare and finances.
We are also the fastest growing healthcare company in the country and are driving that impact across millions of new patients every year.
Our business model not only helps people, but drives economics that allow us to build a generational company.
We are a relentlessly learning, constantly curious, and aggressively collaborative cross-functional team dedicated to inventing new ways to improve the lives of our customers.
We are an equal opportunity employer and value diversity of all kinds.
We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
(ref : hirist.tech)