Data Operations Engineer at OptionMetrics

New York, New York, United States

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$100,000 – $150,000Compensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Financial Services, FinTechIndustries

Requirements

Strong SQL and scripting (Python, Bash)
Experience with workflow orchestration
Familiarity with data warehouses like Snowflake
Experience with FTP and similar data distribution platforms
Cloud-native data services like AWS SQS and general AWS knowledge
Basic observability (monitoring, logging, alerting)
Financial Data knowledge preferred

Responsibilities

Monitor and maintain ETL/ELT workflows for uptime and performance
Implement data validation, quality checks, and reconciliation to ensure accuracy
Reduce mean time to detect (MTTD) and mean time to resolve (MTTR) for data issues
Troubleshoot and resolve operational issues in data pipelines
Partner with Dev Team and Data QA teams to ingest and normalize feeds from market data vendors
Optimize workflows for cost and performance across cloud platforms
Maintain documentation and runbooks for operational processes
Support incident management and root cause analysis related to data movement failures
Visualize data flows and error tracking
Ensure data feeds/files are successfully delivered to customers (SFTP, APIs, etc.) with integrity checks and audit logs
Build processes for handling late/missing vendor data, schema changes, and bad data without disrupting downstream systems
Incorporate backup/retry logic, failover planning, and support for disaster recovery scenarios in pipelines
Maintain data lineage, access logs, and documentation
Identify repetitive operational tasks and propose efficiency improvements
Collaborate with Dev & Infra Teams to ensure quality designed workflows, platform resiliency, and secure data handling practices
Track data processing and SLA management

Skills

Data Pipelines

SFTP

APIs

Cloud Platforms

Monitoring

Troubleshooting

Data Quality Checks

Exception Handling

Retry Logic

Failover

Disaster Recovery

Data Lineage

Audit Logs

OptionMetrics

Provides historical stock option volatility data

About OptionMetrics

OptionMetrics provides historical stock option volatility data for financial institutions, hedge funds, asset managers, and academic researchers. Its main product, IvyDB, includes end-of-day prices for options, implied volatilities, and greeks, which help users evaluate risk models and test trading strategies. Unlike competitors, OptionMetrics offers specialized datasets like IvyDB Signed Volume to give insights into market order flows. The company's goal is to be a vital resource for financial professionals needing accurate options data for trading and research.

New York City, New YorkHeadquarters

1999Year Founded

GROWTH_EQUITY_VCCompany Stage

Data & Analytics, Financial ServicesIndustries

51-200Employees

Benefits

PTO: Vacation, Personal, Sick days, Holidays

Pre-tax commuter benefits

401(k)

Full medical and dental insurance coverage

Risks

AI-driven analytics platforms could threaten OptionMetrics' market share.

Rapid AI evolution may outpace OptionMetrics' current integration efforts.

Expansion into new markets may expose OptionMetrics to regulatory challenges.

Differentiation

OptionMetrics offers the industry-standard IvyDB US since 2002 for historical options data.

The company provides unique datasets like IvyDB Signed Volume for market order flow insights.

OptionMetrics integrates AI, enhancing data accuracy and reducing research time significantly.

Upsides

The launch of IvyDB Beta offers a forward-looking view of systematic risk.

Proprietary methodologies in IvyDB US 6.0 enhance options data accuracy for risk modeling.

Sponsorship at Quant Strats 2024 opens networking and business partnership opportunities.

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