Data Engineer

CodaMetrix is revolutionizing Revenue Cycle Management with its AI-powered autonomous coding solution, a multi-specialty AI-platform that translates clinical information into accurate sets of medical codes. CodaMetrix’s autonomous coding supports improved patient care and drives efficiency under fee-for-service and value-based care models.

We are passionate about getting doctors away from the keyboard and back to clinical care.
Job Description

The Data Engineer is responsible for the analytics data ecosystem, creating and maintaining performant data pipelines and repositories, providing the infrastructure to discover and consume data while continually evolving our data storage and analytic capabilities.

The Data Engineer supports our analytics and customer onboarding teams, data scientists and software engineers on data initiatives and will ensure optimal data access across the organization. As a team member, you will populate and maintain our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. You are an experienced data pipeline author and data wrangler who enjoys optimizing data systems and evolving them - and have a customer-centric approach towards the various teams who provide and consume data.

You are self-directed and comfortable supporting the data engineering and analytics needs of multiple stakeholders and systems and are relentless about data security. The right candidate will be excited by the prospect of optimizing our company’s data platform architecture to support deep-dive analytics to power our next generation of AI-driven products and solutions.

Responsibilities

• Create, maintain, populate and optimize the CodaMetrix data platform and analytics architecture.
• Assemble large, complex data sets that meet functional / non-functional business requirements.
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and cloud-based ‘big data’ technologies from AWS and others.
• Work with stakeholders including the Analytics, Machine Learning, Executive and Product teams to assist with data-related technical issues and support their data infrastructure needs.

Skills & Experience

You have experience building and optimizing ‘big data’ data pipelines, architectures and data sets. You have strong analytical skills related to working with both structured and unstructured datasets. You have built processes supporting data transformation, data structures, metadata, dependency and workload management. Strong project management and interpersonal skills. Experience supporting and working with cross-functional teams in a dynamic environment.

Prerequisite:

• BS, MS degree in Computer Science, Informatics, Information Systems or other related fields or equivalent work experience 

The ideal Data Engineer possesses strong experience in the following:

• At least 3-4 Years working with traditional SQL relational databases
• Working familiarity with NoSQL databases
• Experience with object-oriented or functional programming languages: Scala, Java, and Python are all preferred
• Cloud Based Development - Has worked with services on cloud vendors such as AWS/Azure/GCP with AWS preferred
• ETL & Data integration pipelines and common tooling to support and author them
• Processing structured data formats such as Parquet, CSV, JSON, XML
• Processing unstructured or semi-structured data, including scraping OCR or HTML documents.
• Apache Spark, preferably on the Databricks Lakehouse Platform
• Common BI Tools; Tableau is a huge plus
• Agile Development (SDLC, Scrum, Kanban)

Beneficial Experience

• Knowledge of HIPAA compliance requirements as well as other security/compliance practices such as PII and SOC2 a big plus
• Experience with Streaming workloads and integrating Spark with Apache Kafka
• Experience with consuming or authoring REST and/or SOAP web service APIs
• You understand what IaC means and have experience with common tools to implement it

Full-Time Employee Benefits

Learn more about how we take care of our team.

• Insurance: We cover 80% of the cost of medical and dental insurance and offer vision insurance.
• Retirement: CMX offers a 401(k) plan that eligible employees can contribute to one month after their first day.
• Life: We offer employer-paid life insurance and short-term and long-term disability insurance.
• Flexibility: We have an unlimited PTO policy so you can take the time you need to relax and rejuvenate.
• Learning: All new hires complete our 7-week Fellowship program to learn about each of our departments.
• Development: We provide annual performance evaluations and outline a clear path for promotions.
• Engagement: We host recurring events like Meditation Mondays, CMX Connections and Socials.
• Recognition: We recognize quarterly You've Been Awesome winners and celebrate our team's service milestones.

Background Check

All candidates will be required to complete a background check upon acceptance of a job offer.

Equal Employment Opportunity

Our company, as well as our products, are made better because we embrace diverse skills, perspectives, and ideas. CodaMetrix is an Equal Employment Opportunity Employer and all qualified applicants will receive consideration for employment.