Data Engineer at Jobot
Flower Mound, TX 75028
About the Job
Hybrid Remote out of Flower Mound!
This Jobot Job is hosted by: Chris Gorman
Are you a fit? Easy Apply now by clicking the "Quick Apply" button
and sending us your resume.
Salary: $135,000 - $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 "Quick Apply" button.
This Jobot Job is hosted by: Chris Gorman
Are you a fit? Easy Apply now by clicking the "Quick Apply" button
and sending us your resume.
Salary: $135,000 - $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 GCP 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 "Quick Apply" button.
Salary
135,000 - 165,000 /year