Back
Metro-based, early-mid level, common SQL/Python skills create moderate applicant competition.
Requires securities and accounting experience, making cross-industry transferability limited.
Explicit 2+ years plus financial domain and SQL/scripting requirements moderate filtering.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Create and manage data connections including external APIs and FTP integration for client data intake.
Automate process monitoring, reporting, and improve data normalization and auto-reconciliation using advanced technology solutions.
Collaborate with Operations and Development to implement improvements and provide technical communication to non-technical stakeholders.
Bachelor's degree in Math, Computer Information Systems, or related field.
Minimum 2 years of relevant experience in data engineering or related role.
Proficiency in SQL and scripting languages such as Groovy, Perl, or Python.
Experience with securities, accounting, financial domain, and industry-standard data transmission protocols.
Experienced in handling financial or securities data with technical expertise in data ingestion and normalization processes.
Skilled in automation and process improvement focused on auto-reconciliation within data workflows.
Able to communicate complex technical concepts clearly to non-technical stakeholders and collaborate across teams.