Data Operations Engineer

About the role:

Apixio is transforming healthcare with data, science and technology. We are leading the industry applying Big Data technology to extract and analyze unstructured and coded clinical data to derive outcome- and cost-related insights. Based in San Mateo, Apixio offers solutions that enable health plans and large provider groups to more accurately and efficiently determine member risk scores for appropriate value-based reimbursement

Who you are: 

As a Data operations engineer you will own the end to end data lifecycle of one or more Apixio's products. This will be an automation focused role and you will work side-by-side with other engineers on integration and maintenance of the data platforms, developing solutions to streamline our Data Operations efforts.

Daily responsibilities include Development and Management of key system areas including:

• Manage all data aspects of a customer engagement from initial contact and data receipt to mapping and loading data into the Apixio data pipeline, and final project reporting.
• Streamline customer data acquisition with Apixio Infostream product.
• Collaborating across disciplines, you will identify internal/external data sources to design and implement table structure, data products, ETL strategy, automation frameworks and scalable data pipelines
• Develop and Maintain the Logging, Dashboarding and Monitoring Infrastructure.
• Work hands on with the Data Integration team to define and develop tools for the efficient tracking and processing of customer data
• Develop direct EHR Data Integration via API and integration engines.
• Provide timely and consistent updates and recommendations on Data Operational issues and improvements to customers
• Setup goals to effectively increase service quality to meet business and operations requirements
• Setting up monitoring tools and systems to track data-related metrics such as data throughput, latency, and error rates. 
• Monitoring data pipelines and systems for anomalies or performance degradation and implementing alerting mechanisms to notify stakeholders of any issues.
• Working closely with cross-functional teams including data engineers, customer success teams and business analysts to understand data requirements, prioritize tasks, and ensure alignment with objectives. 
• Communicating effectively with stakeholders to provide updates, gather feedback, and address concerns related to data operations.
• Being on standby/oncall to promptly respond to alerts, notifications, or escalations related to failures, performance issues and other operational disruptions. This may involve diagnosing the root cause of incidents, implementing temporary workarounds, and coordinating with cross-functional teams to restore service stability.

What you bring to the table:

• 3-5 years of work experience in healthcare business analysis and/or software development.
• Proficient in ETL methodologies and tools such as Databricks, PySpark, Informatica.
• Understand Big data architecture and Experience Managing big data platforms. 
• Strong technical knowledge of data transformation techniques and tools, as well as knowledge of shell script, Python 3.x, APIs, and SDKs.
• Expertise in SQL, MySQL, Cassandra and other database technologies.
• Exceptional planning and organizational skills to work on multiple projects with competing priorities and deadlines.
• Experience in establishing, implementing, and socializing analytics best practices with both technical and non-technical stakeholders
• Proven experience conceptualizing, building and monitoring dashboards and alerting systems to monitor ETL pipelines.
• Demonstrated ownership of projects or feature sets.
• Strong communication skills to relay complex data integration requirements to team members and customers
• Knowledge of healthcare standards including but not limited to CCD/CDA/CCR, FHIR and HL7

Nice to Have

• Masters degree in information technology, computer science, software engineering, or data science preferred
• Healthcare Domain expertise
• Experience in specific EHR Systems is a plus
• Experience in Healthcare Integration Engines like QIE, Mirth etc.

After 3 months you will have accomplished: 

• Tackled your own payer project
• Become an expert on Medicare Advantage 1st and 2nd pass payer projects
• Know the ins and outs of our data spec
• Start learning healthcare data standards

After 1 year you will have accomplished: 

• Successfully completing projects assigned throughout the year, meeting deadlines, and delivering high-quality deliverables that meets requirements.
• Actively participating in team activities, collaborating with colleagues, and contributing to a positive and productive team culture.