A market leader in credit intelligence, Reorg brings together journalists, financial analysts, legal analysts, technologists, and data scientists to collect and synthesize highly complex information into actionable intelligence. Since 2013, tens of thousands of professionals across hedge funds, investment banks, management consulting, and law firm verticals have come to rely on Reorg to make better, faster, and more confident decisions in pace with the fast-moving credit markets. For more information, visit: www.reorg.com
Working at Reorg
Consistent with our growth, Reorg hires innovators and trailblazers across the globe to drive our business and our incredible corporate culture alike. Our core values – Action Oriented, Customer First Mindset, Effective Team Players, and Driven to Excel – define an organizational ethos that’s as high-performing as it is human. Among other perks, Reorg employees enjoy competitive health benefits, matched 401k and pension plans, Paid time off, generous parental leave, gym subsidies, educational reimbursements for career development, recognition programs, pet-friendly offices, and much more.
The Role
Reorg is seeking a skilled and motivated Data Engineer to join our team. As a Data Engineer, you will work on complex problems at the intersection of finance and technology, collaborating with the senior data engineer, data scientists, product and software developers to contribute to Reorg's data pipeline development efforts. As an integral part of the Data Science team, you will assist data scientists with data acquisition, organization, and effectively utilizing the results they generate. You will play an essential role in proposing, building, and executing various data pipelines that leverage existing data to enhance Reorg's cutting-edge financial intelligence platform.
Responsibilities
- Design, build, and maintain data pipelines and ETL processes that will support data acquisition, processing, and storage
- Develop and maintain data models and schema design for efficient data retrieval and storage
- Collaborate with data scientists, software developers, and product owners to identify and implement data-driven solutions that will enhance our financial intelligence platform
- Work with software developers to integrate data science models into our products and services
- Continuously improve our data processing and storage infrastructure to ensure scalability, reliability, and security
- Keep up-to-date with new developments in big data technologies and evaluate their potential for improving our data engineering processes
- Participate in code reviews and ensure adherence to best practices
- Working with structured and unstructured data (HTML, JSON, PDF, XML)
- Converting unstructured data into structured format for ML purposes
- Data processes such as ETL, wrangling, and cleansing using logic and regular expressions
- Webscraping using tools like Selenium, Beautifulsoup, etc
- Building data pipelines to support LLMs, LLM Framework (LangChain), Embeddings, Vector Database experience is a plus
- Bachelor's degree or higher in Computer Science, Data Science, or a related field
- 2+ years data engineering and ETL experience
- Proven expertise with Python and R
- Experience with Linux and JenkinsFamiliarity with DevOps and agile development methodologies
- Proficiency with SQL and atleast one NoSQL databases, preferably ElasticSearch
- Knowledge of parallel computing, AWS, and REST APIs
- Strong problem-solving and analytical skills, and openness to feedback and inclination towards continuous learning
- Excellent communication and collaboration skills, and team player mindsetProfessional experience working in the finance industry is a plus
- Background in handling information extraction and retrieval tasks from financial industry-related documents is a plus
At Reorg, we consider a range of factors in connection with compensation decisions, including experience, skills, location, and our business needs and limitations. As a result, compensation may vary within and across similar roles and positions. Please note that the salary range information below is a good faith estimate for this position and actual compensation for any individual may fall outside this range if warranted by the circumstances applicable to that individual. If we identify a role that would be suitable for a broader range of skills and experience such that we would consider hiring at multiple levels then the range listed below may reflect that breadth.
The salary range estimate for this position is $100,000-$130,000.
The actual compensation will be at Reorg’s sole discretion and will be determined by the aforementioned and other relevant factors. This position is eligible for an annual discretionary bonus.
Reorg provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, Reorg complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.
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