Overview
On Site
USD 125,000.00 - 165,000.00 per year
Full Time
Skills
Pharmaceutics
Health Care
Retail
Network
Distribution
Pharmacy
Cyber Security
FOCUS
Advanced Analytics
Life Insurance
Data Management
Unstructured Data
Data Integration
JAR
Apache HTTP Server
Data Processing
Data Lake
Management
Unity
Data Visualization
Reporting
Microsoft Power BI
Tableau
Data Security
Regulatory Compliance
Computer Science
Information Systems
Data Engineering
SQL
Python
Extract
Transform
Load
Databricks
Microsoft Azure
Google Cloud
Google Cloud Platform
Cloud Computing
Data Storage
Problem Solving
Conflict Resolution
Attention To Detail
Communication
Collaboration
Teamwork
Privacy
Genetics
Authorization
Law
LOS
Recruiting
Job Details
Local candidates preferred!
This Jobot Job is hosted by: Chris Gorman
Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.
Salary: $125,000 - $165,000 per year
A bit about us:
As a company, we are a privately held, multibillion-dollar specialty pharmaceutical distributor and diversified healthcare company. Our partners include global pharmaceutical and biologics manufacturers, prestigious healthcare systems, large and independent retail pharmacies, and leading alternate care sites. Our nationwide commerce is supported by a network of distribution and infusion pharmacy locations utilizing world-class technology and cybersecurity solutions.
We are looking to add a Data Engineer to our team in Texas! This hire will work with our data management team and focus on leveraging advanced technologies such as Databricks to enhance our data infrastructure and drive innovative data solutions. You will utilize your experience with Databricks administration, Unity Catalog, and JAR file management to optimize our data processes and support advanced analytics initiatives.
Why join us?
What We Offer:
Job Details
Responsibilities:
1. Design, construct, install, test and maintain highly scalable data management systems.
2. Develop and manage robust ETL pipelines to automate the ingestion, transformation, and delivery of both structured and unstructured data.
3. Leverage Fivetran for data integration to ensure that all data sources are connected and data is flowing seamlessly.
4. Develop and optimize data querying capabilities via SQL and Python to ensure data is easily accessible for data scientists and analysts.
5. Use Java Archive (JAR) and Apache to build and manage data processing tasks.
6. Implement data lake solutions using Delta Lake, ensuring high-quality data storage.
7. Work with Azure to manage our cloud-based data storage and processing infrastructure.
8. Utilize Unity Catalog for data cataloging, ensuring data is easily discoverable and accessible.
9. Build and maintain data visualization and reporting tools using Power BI and Tableau.
10. Collaborate with data scientists and analysts to understand and deliver on their data requirements.
11. Ensure data security and compliance with all relevant laws and regulations.
12. Document and communicate data engineering processes, solutions, and results to technical teams, leaders, and stakeholders.
Qualifications:
Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.
Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
This Jobot Job is hosted by: Chris Gorman
Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume.
Salary: $125,000 - $165,000 per year
A bit about us:
As a company, we are a privately held, multibillion-dollar specialty pharmaceutical distributor and diversified healthcare company. Our partners include global pharmaceutical and biologics manufacturers, prestigious healthcare systems, large and independent retail pharmacies, and leading alternate care sites. Our nationwide commerce is supported by a network of distribution and infusion pharmacy locations utilizing world-class technology and cybersecurity solutions.
We are looking to add a Data Engineer to our team in Texas! This hire will work with our data management team and focus on leveraging advanced technologies such as Databricks to enhance our data infrastructure and drive innovative data solutions. You will utilize your experience with Databricks administration, Unity Catalog, and JAR file management to optimize our data processes and support advanced analytics initiatives.
Why join us?
What We Offer:
- Remote opportunity
- Competitive base salary and overall compensation package
- Full benefits: Medical, Dental, Vision
- Generous PTO, vacation, sick, and holidays
- Life Insurance coverage
- 401K
Job Details
Responsibilities:
1. Design, construct, install, test and maintain highly scalable data management systems.
2. Develop and manage robust ETL pipelines to automate the ingestion, transformation, and delivery of both structured and unstructured data.
3. Leverage Fivetran for data integration to ensure that all data sources are connected and data is flowing seamlessly.
4. Develop and optimize data querying capabilities via SQL and Python to ensure data is easily accessible for data scientists and analysts.
5. Use Java Archive (JAR) and Apache to build and manage data processing tasks.
6. Implement data lake solutions using Delta Lake, ensuring high-quality data storage.
7. Work with Azure to manage our cloud-based data storage and processing infrastructure.
8. Utilize Unity Catalog for data cataloging, ensuring data is easily discoverable and accessible.
9. Build and maintain data visualization and reporting tools using Power BI and Tableau.
10. Collaborate with data scientists and analysts to understand and deliver on their data requirements.
11. Ensure data security and compliance with all relevant laws and regulations.
12. Document and communicate data engineering processes, solutions, and results to technical teams, leaders, and stakeholders.
Qualifications:
- Bachelor's degree in Computer Science, Information Systems, or a related field.
- Minimum of 5 years of experience in a data engineering role.
- Proficient in SQL, Python, and ETL processes.
- Experience with Databricks
- Familiarity with Azure and/or Google Cloud Platform for cloud-based data storage and processing.
- Strong problem-solving skills, attention to detail, and ability to work in a fast-paced, dynamic environment.
- Excellent communication and teamwork skills.
- Strong understanding of data privacy and security regulations.
Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.
Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.