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Data Engineer
Radiant Dev LLC Seattle, WA
$126k-156k (estimate)
Full Time 2 Days Ago
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Radiant Dev LLC is Hiring a Data Engineer Near Seattle, WA

Data Engineer, EMR / EPIC

Location: Seattle, Washington (Hybrid)

Target Salary: $90-120K Annually, potentially more, DOE

Our Client is expanding, and hiring a Data Engineer to develop solutions to challenges that have continued to afflict our healthcare system. The Data Engineer will bring robust experience and ability to own the API strategy for a cloud-based warehouse environment that configures and loads customer data for modeling and utilization.

2024 is a critical foundational year for systems and technology for our Client. As a result they have identified the need for a customer facing analytics solution as part of product implementation. This requires an experienced Data Engineer to support their B2B data pipeline strategy that is integral for scaling the first 100 customers and beyond.

About Client

They are a privately held organization, delivering revolutionary solutions to challenges that have long plagued our healthcare system. They design and build products that significantly improve patient outcomes. They have launched the innovative and broadly patented blood collection system, the only device on the market proven to significantly reduce false positive blood cultures - the standard-of-care for diagnosing sepsis. They have achieved outstanding clinical results and proudly count some of the most respected healthcare systems in the country as early customers. They are offering qualified candidates an opportunity to get in early and help build a company dedicated to improving the health and well-being of millions of people around the world.

About the Role

The objective of the Data Engineer is to own the API strategy of they Analytics customers into their Snowflake instance. They will perform the initial setup of data from the hospital, transform data into relevant insights that ultimately power a customer facing dashboard for their customers. In collaboration with customer-facing Clinical Solutions Analysts and Account Managers, they will be the point of contact to maintain current APIs related to hospital data or hospital code changes. They will be the steward of customer data per HIPAA/SOC2 compliance and strive to improve and harden the structure of MMT Snowflake tables.

This position is part of their Revenue Operations team at this foundational stage of organizational growth. With guidance from the Director, the Data Engineer will collaborate with core team members to achieve customer success and achievement of goals. Ideally, this position is a hybrid and local to the Seattle Office headquarters, working 2-3 days per week onsite with the team.

Responsibilities and Duties:

  • Manage cloud-based warehouse environment.
  • Expertly configure hospital data and load into Snowflake
  • Model data within Snowflake and utilize other Internal Company systems
  • Gather, document, communicate and configure to business and user requirements, as well as explore and deliver data solution to these requirements related to Offering.
  • Understand and navigate through hospital technological landscapes particularly the EPIC ecosystem
  • Partner with Internal Company subject matter and domain experts to develop and maintain hospital data pipeline that provide the foundation of Product.

Required Skills and Experience

  • 7 years of data engineering experience
  • Bachelor’s degree required. Master’s degree preferred
  • Strong expertise and experience with cloud-based data warehouse (Snowflake)
  • Strong understanding of the healthcare EMR, specifically EPIC ecosystem, including data identifiers (patient, payer, provider). *Certified in Epic Beaker and/or Epic Bridges, highly desired.
  • Demonstrated experience in data modeling, ability to enrich data, snapshot, etc.
  • Mastery of ETL tools: Experience with establishing external access and extract, transform, and load (ETL) strategies with multiple types of data sources, particularly a variety of electronic medical record systems.
  • Ability to assemble and query complex data from databases, perform in depth analysis and decipher computational data. *Programming and scripting skills, Java Script
  • Strong project leadership skills. Ability to prioritize and manage multiple projects/initiatives in a timely and cost-effective manner
  • Strong business acumen relative to project business case development and market analysis, and department budget management
  • Excellent interpersonal, written and verbal communication skills
  • Capability to work in a fasted paced environment and ability to develop entrepreneurship, agility, and open innovation mindset
  • Extensive experience with using project management and/or collaboration tools
  • Ability to travel frequently between sites as needed

Job Summary

JOB TYPE

Full Time

SALARY

$126k-156k (estimate)

POST DATE

06/26/2024

EXPIRATION DATE

07/24/2024

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The following is the career advancement route for Data Engineer positions, which can be used as a reference in future career path planning. As a Data Engineer, it can be promoted into senior positions as a Database Engineer IV that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Data Engineer. You can explore the career advancement for a Data Engineer below and select your interested title to get hiring information.

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If you are interested in becoming a Data Engineer, you need to understand the job requirements and the detailed related responsibilities. Of course, a good educational background and an applicable major will also help in job hunting. Below are some tips on how to become a Data Engineer for your reference.

Step 1: Understand the job description and responsibilities of an Accountant.

Quotes from people on Data Engineer job description and responsibilities

The data engineer develops and maintains the enterprise data framework for continued use.

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A data engineer prepares data for analytical or operational uses.

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Data engineers simplify complex data structure and prevent the reduplication of data.

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Data Engineers are the technical professionals who prepare data that can be used by data scientists for valuable decisions and strategies.

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Step 2: Knowing the best tips for becoming an Accountant can help you explore the needs of the position and prepare for the job-related knowledge well ahead of time.

Career tips from people on Data Engineer jobs

Changing oil, running basic checks, topping off fluids and checking tire pressure are common job duties.

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Oil changes are an essential component of preventative maintenance.

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A data engineer should be aligned with a data scientist’s needs while creating a data system.

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Start with an entry-level position.

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Consider pursuing additional professional engineering or big data certifications.

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Step 3: View the best colleges and universities for Data Engineer.

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