(Summer) Data Analytics and Engineering Intern

Integra is a boutique economic consulting and forensic analytics firm that works with government agencies and private entities to identify financial fraud. Integra is hiring quantitatively-skilled students/graduates with data science, data analytics, or software development experience who are interested in translating their academic interests into the real-world applications. Our team leverages a variety of data science/analytics techniques to extract meaningful insights from large datasets. As an intern you will develop tools used to collect large data sets, automate data pipelines, and perform cloud-based analytics. You will additionally gain experience at all stages of the data lifecycle in a professional environment.

Responsibilities

• Design, develop, and maintain existing tools/scripts for retrieving, ingesting, and processing data in a cloud environment
• Build data pipelines and transform data to support usage in econometric analysis
• Work with our team to identify needs, design and implement solutions, and test results
• Apply appropriate data mining, analytics, or NLP techniques to verify integrity of and glean information from large datasets
• Document processes and present results to our team
   

Required Qualifications

• Currently enrolled in a PhD or Master's degree program in Data Science, Data Analytics, Computer Science, Software Engineering, Applied Math, or other quantitative fields
• Experience scripting/programming in Python (3.1x)
• Experience designing, implementing, or interfacing with SQL databases
• Experience with data cleaning and preparation
• Experience interfacing with REST APIs
• Basic knowledge of cloud computing / storage technologies
• Knowledge of statistical methods and machine learning techniques

Preferred Qualifications

• Strong background in SQL and Python as applied to data science, analysis, engineering, or warehousing tasks
• Experience with cloud based data warehousing tools (e.g., Google BigQuery, AlloyDB, CloudSQL, Amazon Redshift / Aurora, Azure Data Warehouse/Synapse, Snowflake)
• Experience using Github for version control
• At least one Python based project available for our team to review