Senior Data Engineer

A market leader in credit intelligence, Reorg combines the expertise of journalists, financial analysts, legal analysts, technologists, and data scientists to compile and process highly intricate information into actionable insights. Since 2013, scores of professionals from hedge funds, investment banks, management consulting, and law firm sectors have relied on Reorg for faster, more confident decision-making, keeping up with the rapidly evolving credit markets. For more details, please visit: www.reorg.com. Working at Reorg In line with our continuous expansion, Reorg is actively hiring innovative and pioneering individuals worldwide to contribute to our business growth and enrich our vibrant corporate culture. Our core values – Action Oriented, Customer First Mindset, Effective Team Players, and Driven to Excel – establish an organization's philosophy that is as performance-oriented yet humane. Reorg employees enjoy competitive health benefits, matching 401k and pension plans, Paid time off, generous parental leave, gym subsidies, educational reimbursements for career development, recognition programs, pet-friendly offices, among other perks. The Role We are on the lookout for a highly skilled and experienced Senior Data Engineer with a solid background in constructing and managing data pipelines, data warehouses, and data lakes. In your role as a Senior Data Engineer, you will be integral to our organization's data infrastructure, facilitating efficient and reliable data processing, storage, and analysis. Responsibilities: Design and develop robust, scalable, and efficient data pipelines that facilitate the extraction, transformation, and loading (ETL) processes from various data sources into data warehouses and data lakes. Work closely with cross-functional teams such as data scientists, analysts, and software engineers to understand data requirements and design optimal solutions. Construct and manage data warehouses and data lakes to efficiently accommodate and organize large volumes of structured and unstructured data. Implement data governance methods and best practices to uphold data quality, integrity, and security throughout the data lifecycle. Detect and resolve performance bottlenecks, data inconsistencies, and data quality issues in data pipelines, warehouses, and lakes. Create and maintain monitoring and alerting systems to pre-emptively identify and address data-related issues. Continuously assess and explore emerging technologies and tools in data engineering to enhance data processing efficiency and scalability. Mentor and guide junior data engineers, providing technical leadership and promoting a collaborative and innovative environment. Requirements: Bachelor's degree in Computer Science or a similar field. Proven experience (minimum 5 years) in building and managing data pipelines, data warehouses, and data lakes in a production environment. Proficiency in programming languages such as Python, SQL and experience with data processing frameworks like Apache Spark or Apache Beam. Familiarity with ETL/ELT frameworks and tools like AWS Glue, dbt, Airflow, Airbyte, etc. Comprehensive knowledge of relational databases (e.g., MySQL, PostgreSQL) and experience with columnar storage technologies (e.g., Redshift, Snowflake). Sound understanding of distributed systems, data modeling, and database design principles. Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and experience in deploying data infrastructure on the cloud. At Reorg, we make compensation decisions based on a variety of factors including experience, skills, location, and our business requirements and constraints. Consequently, compensation may differ within and between similar roles and positions. Note that the below salary range is a good faith estimate for this position and the actual compensation for any individual may exceed or be less than this range under certain circumstances. If a role is suitable for a broader range of skills and experience and we would consider hiring at multiple levels then the range listed below may reflect that breadth. The salary range estimate for this position is $140,000-$150,000. 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. Apart from federal law requirements, Reorg abides by applicable state and local laws governing non-discrimination in employment in every location where 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.