Position Overview
We are seeking a Senior Backend Python Engineer with strong experience building scalable data platforms for financial markets or investment research. The ideal candidate has expertise in developing high-performance backend systems, designing robust data architectures, and processing large volumes of structured and unstructured financial data.
This role is ideal for someone who enjoys solving complex data engineering challenges, building APIs, and designing systems that power financial analytics.
Key Responsibilitie
- sDesign, build, and maintain scalable ETL and data ingestion pipelines for financial data
- .Develop backend services and RESTful APIs using Python
- .Parse and process large financial documents, reports, and datasets efficiently
- .Design and optimize databases to support financial analytics and research workflows
- .Write complex SQL queries and optimize database performance
- .Collaborate with product, data, and engineering teams to build reliable data infrastructure
- .Design scalable, maintainable system architectures and clearly explain architectural decisions and technical trade-offs
- .Ensure high standards for code quality, testing, performance, and documentation
.
Required Qualificatio
- ns5+ years of professional experience as a Backend or Python Enginee
- r.Strong proficiency in Python and backend application developmen
- t.Experience building ETL and data ingestion pipeline
- s.Experience working with financial market data, investment research platforms, or other financial data system
- s.Strong experience parsing and processing large datasets and financial document
- s.Solid knowledge of SQL and relational database desig
- n.Experience designing databases optimized for analytics workload
- s.Experience building and maintaining RESTful API
- s.Strong understanding of software architecture, scalability, and distributed system
- s.Excellent communication skills with the ability to articulate architectural designs and technical decision
s.
Nice to H
- aveExperience working with SEC EDGAR filin
- gs.Experience processing XBRL financial filin
- gs.Familiarity with financial reporting standards and regulatory filin
- gs.Experience with cloud platforms (AWS, Azure, or GC
- P).Experience with containerization technologies such as Docker and orchestration tools like Kubernet
- es.Knowledge of message queues, asynchronous processing, and workflow orchestration too
ls.
Preferred Backgr
oundCandidates with experience building platforms
- for:Financial market
- dataInvestment rese
- archEquity rese
- archFinancial analy
- ticsRegulatory repor
- tingQuantitative or fintech applicat
ions
Tech
- StackP
- yth
- onSQLREST
- APIsETL/Data Pipe
- linesDatabase D
- esignFinancial Data Proce
- ssingBackend Archite
cture
