You will be part of a team responsible for supporting new and existing customers in their data engineering needs.
You will guide customers to make the best technical decisions to achieve their goals
You will actively work across multiple customer accounts which you would need to track and report on their progress.
You will design, build, and operationalize complex data solutions, correct problems, apply transformations, and recommend data cleansing /quality solutions.
You will analyze sources to determine value and recommend data to include in analytical processes.
You will incorporate core data management competencies including data governance, data security and data quality.
You will collaborate within and across teams to support delivery and educate end users on data products / analytic environments.
You will perform data and system analysis, assessment and resolution for defects and incidents of moderate complexity and correct as appropriate.
You will test data movement, transformation code, and data components.

5+ years of related experience in data engineering and data product development.
Experience in one or more of the following:
Data Engineering technologies (e.g., Spark, Hadoop, Kafka)
Databricks platform
data engineering and/or ML ops experience would be a huge bonus
Data Science and Machine Learning technologies (e.g., pandas, scikit-learn, HPO)
Data Warehousing (e.g., SQL, OLTP/OLAP/DSS)
Solid understanding of the end to end data analytics workflow
Demonstrated track record of domain expertise in healthcare (Payer/ Provider or Life Sciences) including the ability to understand technical concepts and possess in-depth knowledge of immediate systems worked on
Proven problem solving skills including debugging skills
Strong verbal and written communication skills
Leadership
Intermediate leadership skills with a proven track record of self-motivation in identifying personal growth opportunities
Excellent time management and prioritization skills. Knowledge of public cloud platforms AWS, Azure, or GCP would be a plus
Nice to have: Databricks Certification.

Health Insurance : Employees and their eligible family members including spouses, domestic partners, and children are eligible for coverage from the first day of employment.
Paid Time Off : Start your career at SunnyData with a minimum of 15 days Paid Time Off annually, plus nine paid company Holidays.
An opportunity to grow your technical and people skills, lead teams on complex customer projects that are highly innovative and cutting edge. Great opportunity to grow in your career with the right level of focus, innovation and customer centricity with a high growth consulting company dedicated to Databricks.

Senior Data Engineer – Healthcare/Lifescience

Key skills