Data Engineer

Job Description Insight Global is seeking a hands‑on Data Engineer to support Bloomberg market data platforms and Trade Operations initiatives for our asset management client located in New York City. The role requires 3 days per week onsite in their office. This role will focus on Bloomberg data ingestion, historical data management, and backend database development within a financial services environment. The engineer will work closely with Operations and Technology stakeholders to streamline Bloomberg data usage, eliminate duplication, optimize workflows, and support downstream consumers. This person should understand the "SELECT *" feature of SQL and feel confident using it. Strong ownership, communication skills, and the ability to operate independently are critical. We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to View email address on click.appcast.io. To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: Skills and Requirements 5+ years of experience as a Data Engineer Experience working with Bloomberg market data within a financial institution, asset manager, bank, hedge fund, or trading firm Strong SQL and relational database experience; ability to write and troubleshoot queries, validate data loads, perform reconciliations, and support backend data platforms Hands‑on experience with Bloomberg Per Security Data License request and response files, including creating, processing, validating, or loading Bloomberg data Experience working with large Bloomberg datasets, market data feeds, reference data, pricing data, or security master platforms Ability to partner with multiple business lines, gather requirements, lead discussions, and communicate effectively with Operations and Technology teams Proven track record identifying redundancies, improving data quality, and streamlining data workflows and processes Strong individual contributor capable of owning projects end‑to‑end in a fast‑paced environment – Snowflake, DBT, Python, ETL/data warehousing experience Exposure to capital markets, equities, trading, operations, middle office, or market data systems #J-18808-Ljbffr