Senior Data Engineer - Application
Solidus Labs provides an AI-powered compliance and market-integrity platform for modern financial and digital-asset markets. Its Solidus HALO platform supports trade surveillance, transaction monitoring, execution-quality supervision, token and stablecoin monitoring, KYC intelligence, case management, and agentic compliance workflows.
Funding history
Investors
About Solidus Labs
Solidus Labs operates a multidimensional compliance platform built for crypto and broader financial markets. Its technology correlates trading activity with on- and off-chain signals, funding flows, and social sentiment to detect market abuse and financial-crime risks across venues, products, and asset classes. The company serves retail and institutional broker-dealers, trading platforms, global exchanges, prediction markets, qualified custodians, futures commission merchants, market makers, proprietary trading firms, stablecoin and tokenized-asset issuers, and regulators. It also provides professional services and compliance education resources.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
Build robust, scalable, maintainable, and monitored data pipelines in cloud environments. Develop customer integrations, Java microservices, ETL workflows, data enrichment processes, and high-availability infrastructure while addressing data quality, schema management, monitoring, and cross-functional integration needs.
Requirements
- BSc. in Computer Sciences
- At least 3 years of experience with Java
- 5+ years in data engineering and data pipeline development on high-volume, low-latency production environments
- Experience with Prometheus and Grafana
- Experience with Apache Airflow, K8S, ClickHouse, Snowflake, Redis, caching technologies, and Kafka
- Experience with relational, non-relational, and time series databases
- Proficiency in SQL and query optimization
- Experience designing infrastructure at scale to maintain high-availability SLAs
- Ability to work independently and proactively identify solutions
- Excellent verbal and written communication skills in a remote environment
- Experience in fintech, crypto, or trading industries and familiarity with FIX and market data are advantageous
Responsibilities
- Design and implement customer-facing integrations of various asset types into data pipelines
- Design and develop Java microservices running on K8S and AWS
- Develop, design, and maintain end-to-end ETL workflows
- Implement data ingestion and transformation logic across multiple data sources
- Enrich financial data through third-party integrations and FIX, CSV, and JSON formats
- Use AI agents such as Claude to code solutions within organizational conventions
- Plan and communicate integrations with teams that consume data and create insights
- Address data duplication, velocity, schema adherence, schema versioning, high availability, and data governance