Ryan
Why consider this job opportunity
Generous personal time off (PTO) benefits and 14 weeks of 100% paid leave for new parents (including adoption)
Hybrid work options providing flexibility
Monthly gym membership reimbursement or gym equipment reimbursement
401K with employer match and tuition reimbursement after one year of service
Opportunity to work with cutting‑edge cloud‑based data solutions and innovative technologies
Award‑winning culture promoting a positive and inclusive work environment
What to Expect (Job Responsibilities)
Develop, test, and maintain data pipelines within the Platform Reference Architecture using various programming languages and tools
Collaborate with management, product teams, and practice personnel to understand platform data requirements
Foster a positive work atmosphere and motivate team members to achieve high performance
Design, develop, test, implement, and support scalable data solutions in an Agile team environment
Secure data in alignment with internal security policies and best practices while analyzing user feedback for improvements
What is Required (Qualifications)
Bachelor’s and/or Master’s degree in a related field
Minimum of 7 years of experience developing data technologies and deploying ETL solutions in production environments
Proven experience with cloud‑based data services, preferably in AWS or Azure
Proficient in developing Python, Scala, Java, .Net, or similar solutions in a backend or data wrangling capacity
Experience in mixed Windows/Linux environments
How to Stand Out (Preferred Qualifications)
Results‑proven track record of exceeding goals and making informed decisions through analysis and judgment
Fluency in one or more databases, preferably relational and NoSQL
Experience with distributed data platforms and exposure to AI/ML pipelines
Experience deploying, monitoring, and maintaining data pipelines in production environments
We prioritize candidate privacy and champion equal‑opportunity employment. Central to our mission is our partnership with companies that share this commitment. We aim to foster a fair, transparent, and secure hiring environment for all. If you encounter any employer not adhering to these principles, please bring it to our attention immediately. We are not the EOR (Employer of Record) for this position. Our role in this specific opportunity is to connect outstanding candidates with a top‑tier employer.
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Generous personal time off (PTO) benefits and 14 weeks of 100% paid leave for new parents (including adoption)
Hybrid work options providing flexibility
Monthly gym membership reimbursement or gym equipment reimbursement
401K with employer match and tuition reimbursement after one year of service
Opportunity to work with cutting‑edge cloud‑based data solutions and innovative technologies
Award‑winning culture promoting a positive and inclusive work environment
What to Expect (Job Responsibilities)
Develop, test, and maintain data pipelines within the Platform Reference Architecture using various programming languages and tools
Collaborate with management, product teams, and practice personnel to understand platform data requirements
Foster a positive work atmosphere and motivate team members to achieve high performance
Design, develop, test, implement, and support scalable data solutions in an Agile team environment
Secure data in alignment with internal security policies and best practices while analyzing user feedback for improvements
What is Required (Qualifications)
Bachelor’s and/or Master’s degree in a related field
Minimum of 7 years of experience developing data technologies and deploying ETL solutions in production environments
Proven experience with cloud‑based data services, preferably in AWS or Azure
Proficient in developing Python, Scala, Java, .Net, or similar solutions in a backend or data wrangling capacity
Experience in mixed Windows/Linux environments
How to Stand Out (Preferred Qualifications)
Results‑proven track record of exceeding goals and making informed decisions through analysis and judgment
Fluency in one or more databases, preferably relational and NoSQL
Experience with distributed data platforms and exposure to AI/ML pipelines
Experience deploying, monitoring, and maintaining data pipelines in production environments
We prioritize candidate privacy and champion equal‑opportunity employment. Central to our mission is our partnership with companies that share this commitment. We aim to foster a fair, transparent, and secure hiring environment for all. If you encounter any employer not adhering to these principles, please bring it to our attention immediately. We are not the EOR (Employer of Record) for this position. Our role in this specific opportunity is to connect outstanding candidates with a top‑tier employer.
#J-18808-Ljbffr