Data Operations Engineer 2

Summary

Join Modernizing Medicine (ModMed) as a Data Operations Engineer and help revolutionize healthcare IT! You'll be a key part of a data-driven business, building and maintaining the infrastructure that empowers customers, analysts, and data scientists. This role involves automating data pipelines, implementing monitoring facilities, managing data in various environments, and ensuring system availability. You'll collaborate with a team of passionate engineers and data scientists, contributing to a positive and innovative work environment. ModMed offers a competitive benefits package including comprehensive healthcare, 401k matching, generous PTO, life and disability insurance, professional development opportunities, and a flexible work environment.

Requirements

• BS in Computer Science or equivalent work experience
• Experience managing data in relational databases and developing ETL pipelines
• Experience using Spark SQL or other Big Data tools
• Experience implementing and administering logging, telemetry and monitoring tools like ops view
• Experience using AWS or other cloud services
• Experience scripting for automation and config management (Chef, Puppet, Ansible)
• Experience with orchestration software such as Airflow or Luigi
• Fluent in at least one scripting or systems programming language (Python, Ruby, Bash, Go, Rust, Crystal, etc.)
• Deep Knowledge of the Linux and Windows operating systems (OS, networking, process level)
• Strong problem-solving skills
• Strong verbal and written communication skills
• Strong commitment to quality, architecture, and documentation

Responsibilities

• Automate, deploy and operate data pipelines
• Automate build, deployment, and quality processes
• Implement facilities to monitor all aspects of the data pipeline
• Manage data in Spark and other environments using scripts and automation
• Communicate and/or address build, deployment and operational issues as they come up
• Implement, administer, and support the Qliksense systems
• Installations, Upgrades, Patches, Backups of the Data Operations systems
• Maintain documentation of Data Operations systems and processes
• Support the data usage needs of downstream analytics teams
• Ensure availability meets or exceed agreed-upon SLAs
• Participate in a 24x7 on-call rotation for critical issues

Preferred Qualifications

• Experience working with the Qlik Sense product in a large-scale enterprise environment
• Experience with Tableau and Domo

Benefits

• Comprehensive medical, dental, and vision benefits, including a company Health Savings Account contribution
• 401(k): ModMed provides a matching contribution each payday of 50% of your contribution deferred on up to 6% of your compensation. After one year of employment with ModMed, 100% of any matching contribution you receive is yours to keep
• Generous Paid Time Off and Paid Parental Leave programs
• Company paid Life and Disability benefits, Flexible Spending Account, and Employee Assistance Programs
• Company-sponsored Business Resource & Special Interest Groups that provide engaged and supportive communities within ModMed
• Professional development opportunities, including tuition reimbursement programs and unlimited access to LinkedIn Learning
• Global presence and in-person collaboration opportunities; dog-friendly HQ (US), Hybrid office-based roles and remote availability for some roles
• Weekly catered breakfast and lunch, treadmill workstations, Zen, and wellness rooms within our BRIC headquarters