Senior Analytic Data Engineer – AI Services and Platforms

Description

JOB SUMMARY

Entirely Remote Work From Anywhere Role!

We are seeking an experienced Senior Analytic Data Engineer to join our team and drive the development of innovative AI (generative and predictive) based solutions for our enterprise stakeholders.

As a member of the AI Services and Platform team, you will collaborate with engineers and scientists to understand their technical and business problems, utilizing your expertise to deliver data, analytic and software solutions that address these issues.

You will be responsible for creating prototypes, demonstrations, and minimal viable products within a testing and learning environment.

Collaboration with other teams is crucial for supporting delivery and educating end users on complex AI / ML products and analytic environments.

Your responsibilities will include analysis, design, development, and configuration tasks, including defining technical requirements with a high degree of accuracy and speed.

You will independently tackle both well-defined and open-ended problems, while seeking opportunities to expand your technical knowledge and capabilities.

Additionally, you will provide technical guidance and mentorship to less experienced employees and perform other duties as assigned.

ESSENTIAL RESPONSIBILITIES

• Working closely with IT, architect and engineer solutions that provide views for the Analytic Data Warehouse. This would include the working with the proper teams, assisting with the design, building out the design, and providing upkeep for the solution.
• Assemble, test, process, and maintain the Analytic Discovery Platform for the analytics organizations. This will include working to maintain pipelines with key analytic platforms throughout the organization.
• Work with alternative analytic data systems to incorporate them into the operational data flow for the Analytics Teams.

This may include products purchased by the organization that must be ingested or modeled / derived data maintained by analytic teams.

Independently lead functional efforts for assigned projects with limited supervision. This includes the guidance and education of Intermediate contributors within this team.

Meet individually with customers for specific projects and attend with Intermediates for support.

Other duties as assigned.

EDUCATION

Required

Bachelor's Degree in Computer Systems Analysis, Data Processing, Healthcare Informatics, Management Information Systems, or related field

Substitutions

None

Preferred

Master's Degree in Management Information Systems

EXPERIENCE

Required

3 - 5 years of Data Analytics experience

Preferred

3+ years of experience in data engineering

• 3+ years of experience in Python and modules like FastAPI, Flask, Streamlit
• 2+ years of experience with DAG based data orchestration tools Airflow, Kubeflow.
• Any experience with AWS, Azure, GCP (Preferred)
• Any experience with deep learning frameworks and tools such as PyTorch, TensorFlow, Hugging Face, Spacy.
• Familiarity with LLM orchestration tools like LangChain, llamaindex for developing RAG based applications

LICENSES OR CERTIFICATIONS

Required

None

Preferred

None

SKILLS

Microsoft Office

Language Requirement (other than English)

None

Travel Requirement

0% - 25%

PHYSICAL, MENTAL DEMANDS and WORKING CONDITIONS

Position Type

Office-Based

Teaches / trains others regularly

Occasionally

Travel regularly from the office to various work sites or from site-to-site

Rarely

Works primarily out-of-the office selling products / services (sales employees)

Never

Physical work site required

Lifting : up to 10 pounds

Occasionally

Lifting : 10 to 25 pounds

Rarely

Lifting : 25 to 50 pounds

Never

As a component of job responsibilities, employees may have access to covered information, cardholder data, or other confidential customer information that must be protected at all times.

In connection with this, all employees must comply with both the Health Insurance Portability Accountability Act of 1996 (HIPAA) as described in the Notice of Privacy Practices and Privacy Policies and Procedures as well as all data security guidelines established within the Company’s Handbook of Privacy Policies and Practices and Information Security Policy.

Furthermore, it is every employee’s responsibility to comply with the company’s Code of Business Conduct. This includes but is not limited to adherence to applicable federal and state laws, rules, and regulations as well as company policies and training requirements.

Pay Range Minimum : $67,500.00

$67,500.00

Pay Range Maximum : $124,800.00

$124,800.00

Highmark Health and its affiliates prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, age, religion, sex, national origin, sexual orientation / gender identity or any other category protected by applicable federal, state or local law.

Highmark Health and its affiliates take affirmative action to employ and advance in employment individuals without regard to race, color, age, religion, sex, national origin, sexual orientation / gender identity, protected veteran status or disability.

EEO is The Law

Equal Opportunity Employer Minorities / Women / Protected Veterans / Disabled / Sexual Orientation / Gender Identity ()

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