Data Engineer

The Engineering team at SmithRx is developing the next-generation modern pharmacy benefits management (PBM) platform that will change how companies administer and manage pharmacy benefits. Our unified technology platform provides real-time actionable insights that drives cost savings, powers clinical services and results in a brilliant customer experience. A unified technology platform exists nowhere in the pharmacy benefit ecosystem to programmatically solve widespread deficiencies. The result is a PBM delivering unmatched service quality and operational efficiencies that exceeds all industry standards.

As a Data Engineer, you will play a key role in the entire data engineering lifecycle from design, documentation, build, test and maintain our SmithRx analytics platform. You will advocate and bring best practices/methodologies, coding standards and large-scale system design perspectives to our team.  We need our engineers to be versatile and driven, display leadership and ownership qualities, and be enthusiastic to take on new challenges across the organization as we continue to push technology forward.

• You will be responsible for designing data solutions, as well as optimizing and developing data pipelines
• Contribute to build internal tools and web services for the business stakeholders.
• Build and Deploy optimal infrastructure required for extraction, load and transform.
• Optimize data systems for performance and scale.
• Ensure alignment between the upstream processes and the analytics offerings.
• Address data gaps, build monitoring tools to detect data quality issues.

• 5+ years of experience as a Data Engineer or in a similar role
• BS or advanced degree in computer science or applicable experience.
• Positivity; non-dogmatic, team-first attitude
• Flexibility; someone who is responsive and comfortable with ambiguity
• Experience with data modeling, data warehousing, and building ETL pipelines. (spark ,pyspark)
• Experience working with cloud (preferably AWS) or on-prem Big Data/MPP analytics platform.
• Experience in writing code in Python, Scala or Java.
• Should be proficient in writing Advanced SQLs, Expertise in performance tuning of SQLs.
• Should have understanding of stream processing systems like kafka and confluent.

• Past experience with data mining, inferential statistics, NLP.
• Experience with frameworks such as scikit-learn ,pytorch, tensorflow.
• Experience with R.