Data Engineer

Job Description

We are looking for an accomplished and experienced Data Engineer who is proficient in UNIX operating systems, Python (including pip and conda), service troubleshooting, log analysis, and various technologies such as SMTP, Autosys, Jupyter, Oracle, Mongo

DB, load balancers, FDNS, and certificates. The candidate should have proven experience in production support.

• Unix/Shell Scripting
• Python
• Minimum 10 years of experience

• Maintain and troubleshoot data engineering pipelines.
• Manage and troubleshoot services, review logs, and ensure system stability.
• Interact with SMTP, Autosys, and other infrastructure components.
• Perform troubleshooting of Jupyter notebooks, database connections, load balancers, and DNS.
• Handle certificate management.
• Provide production support and incident response.

• Knowledge of load balancers and FDNS.
• Experience with certificates.
• Past experience with production support.

• Discretionary annual incentive.
• Comprehensive medical coverage (medical, health, dental, vision, disability, pet insurance).
• Family support: maternal & parental leave.
• Insurance options: auto, home, identity theft protection.
• Convenience & professional growth: commuter benefits; certification and training reimbursement.
• Time off: vacation, sick leave, holidays.
• Legal & financial assistance: legal assistance, 401K plan, performance bonus, college fund, student loan refinancing.

Salary Range: $120,000 - $130,000 a year.

Bachelor of Computer Science.