Data Operations Engineer

We are looking for a mid level or senior Data Operations Engineer to collaborate both with clients and internal departments to perform projects and maintenance on various data pipelines, data sets, and data products

Responsibilities

* Ensure the consistency and quality of data within the platform.

* Monitor the system for anomalies or missing data and take corrective action.

* Assist with the development of tools to verify data accuracy and integrity.

* Contribute to the maintenance and incremental enhancement of the company's market data aggregation platform as needed.

* Participate in the process of ingesting, cleaning, and normalizing data from multiple sources.

* Support continuous improvements in system architecture and the development process to optimize platform performance.

Minimum Qualification

* Bachelors degree or equivalent experience in a quantitative field such as Computer Science, Mathematics, Statistics, Economics, or Finance

* Strong Python and/or any other scripting language

* Proficient in SQL/NoSQL and working with large-scale databases

* Comfortable working in Linux environment

* Exposure to public cloud computing

* Willingness to engage in a role that requires a balance of development and support tasks

* Strong communication skills (written and oral)* Experience with Git

Preferred Qualifications

* 2+ years of experience with data science packages like Pandas, Numpy, and Matplotlib

* 2+ years of experience scripting in a Linux environment (Python, Bash, Fish, Zsh, etc.)

* Experience with complex data structures, point in time data structures, temporal data

* Experience with Data Warehouse/Data Lake and OLTP data processing

* Experience working with financial data (Bloomberg, Refinitiv, Factset, S&P etc)

* Experience working with big data technologies like Spark

** Experience building and optimizing ETL pipelines

* Knowledge of Quantitative Analysis

Job Type: Full-time

Pay: $135,000.00 - $185,000.00 per year

Benefits:

• 401(k)
• 401(k) matching
• Dental insurance
• Flexible spending account
• Health insurance
• Health savings account
• Life insurance
• Paid time off
• Vision insurance

Compensation package:

• Yearly pay

Experience level:

• 2 years

Schedule:

• 8 hour shift
• Monday to Friday

Ability to Relocate:

• New York, NY 10017: Relocate before starting work (Required)

Work Location: In person