Engineer

Must Have Technical/Functional Skills

Primary Skill: Python, SQL, Data Ingestion and ETL, API development and Integration, Mongo DB, Oracle or

Relational Databases, Elastic or Solr Search, Vector Database, Linux/Bash, Openshift containers, Git, Jenkins, CI/CD and Data Modelling

Secondary: Fast API, Data Quality and Validation, Performance Tuning

Experience: 8+ yrs

Roles & Responsibilities

Bachelor’s or master’s degree in computer science or related field.

• Required Hard and Soft Skills / Experience
• Design and build large-scale data pipelines using Python.
• Build and support data ingestion, processing, indexing and retrieval pipelines for structured and unstructured data
• Lead the architecture of cloud-native data lakes and warehouses.
• Optimize big data processing jobs for speed and cost.
• Mentor junior data engineers and lead code reviews.
• Set up data governance, data quality, and monitoring systems.
• Partner with data scientists to deploy machine learning models.

Discretionary Annual Incentive.

Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.

Family Support: Maternal & Parental Leaves.

Insurance Options: Auto & Home Insurance, Identity Theft Protection.

Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.

Time Off: Vacation, Time Off, Sick Leave & Holidays.

Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.

Salary Range: $110,000 – 120,000 a year

Qualifications: BACHELOR OF COMPUTER SCIENCE