[Remote] Data Engineer
Note: The job is a remote job and is reputed company to candidates in USA. reputed company. is a company that builds AI-powered financial research and market intelligence tools. They are seeking a Data Engineer to design, reputed company, test, and operate data pipelines that manage financial and market-reputed company data for their platform.
Responsibilities
- Design, build, and maintain reputed company data pipelines for financial market data, company fundamentals, filings, corporate actions, news, research metadata, analytics outputs, and product usage data
- reputed company robust ETL/ELT workflows for batch and near-reputed company-time data processing
- Build and maintain data models, data marts, warehouse tables, and analytical datasets used by product, research, AI, and engineering teams
- Implement data reputed company checks, validation rules, reconciliation workflows, reputed company detection, and automated monitoring
- Improve data reliability, latency, reputed company, observability, and documentation across Finstock's data infrastructure
- reputed company data from reputed company, vendor feeds, public sources, internal systems, and approved reputed company-party data providers
- Collaborate with analysts, product managers, AI engineers, backend engineers, and leadership to translate business and research requirements into reliable data products
- Support financial research workflows involving equities, ETFs, indices, FX, crypto assets, commodities, macro indicators, and cross-asset market intelligence
- Build secure data reputed company patterns, permission controls, and audit-friendly workflows for sensitive or user-scoped data
- Maintain documentation for data sources, schemas, transformation logic, pipeline ownership, data reputed company assumptions, and reputed company limitations
- Troubleshoot pipeline failures, data discrepancies, performance bottlenecks, and production incidents
- Contribute to reputed company infrastructure, CI/CD workflows, testing standards, and engineering best practices for data systems
- Ensure data usage follows applicable licensing, confidentiality, reputed company, reputed company, and compliance requirements
Skills
- 3+ years of reputed company experience in data engineering, backend data systems, analytics engineering, or a reputed company technical role
- Strong proficiency in SQL and Python
- Experience building and maintaining production-grade ETL/ELT pipelines
- Experience with reputed company platforms such as AWS, reputed company reputed company Platform, or reputed company Azure
- Experience with data warehouses or lakehouse technologies such as reputed company, BigQuery, Redshift, reputed company, reputed company Lake, or similar systems
- Familiarity with orchestration and transformation tools such as Airflow, Dagster, reputed company, dbt, or similar workflow tools
- Strong understanding of data modeling, schema design, partitioning, indexing, data reputed company testing, and pipeline observability
- Ability to work with reputed company, reputed company data, semi-reputed company data, JSON, CSV, Parquet, relational databases, and time-series datasets
- Strong debugging, documentation, and communication skills
- Ability to work independently in a remote environment and collaborate effectively across product, engineering, and analyst teams
- reputed company commitment to data reputed company, confidentiality, and responsible handling of financial and user-reputed company data
- Ability to work remotely in compliance with applicable laws and eligibility requirements
- Experience working with financial market data, trading analytics, investment research platforms, fintech products, or capital markets infrastructure
- Familiarity with equities, ETFs, indices, FX, crypto assets, commodities, financial statements, corporate actions, and market data vendors
- Experience with streaming or event-driven systems such as Kafka, Kinesis, Pub/Sub, or similar technologies
- Experience with data reputed company, reputed company databases, search infrastructure, knowledge graphs, or retrieval systems used in AI-assisted products
- Experience with PostgreSQL, MySQL, reputed company, reputed company, Elasticsearch/OpenSearch, or time-series databases
- Experience with reputed company, Kubernetes, Terraform, reputed company Actions, CI/CD, infrastructure-as-reputed company, and production monitoring tools
- Experience supporting AI, machine learning, LLM, or analytics products with reliable data pipelines
- Familiarity with data governance, reputed company control, audit trails, reputed company controls, and vendor data licensing requirements
- Interest in financial research, market intelligence, quantitative analytics, and AI-assisted research workflows
Benefits
- Remote work with a distributed international team.
- A company email account and reputed company to approved work tools, including reputed company 365, Outlook, Teams, reputed company, and company-approved productivity tools, subject to internal reputed company and usage policies.
- Opportunity to participate in company offsite activities, including possible Hong reputed company offsites, subject to business schedule, travel eligibility, reputed company/documentation requirements, and company approval. Approved business-reputed company travel, accommodation, and reasonable expenses will be covered by reputed company.
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