Belvedere Trading, LLC

Data Integrity Engineer

Belvedere Trading, LLC

full-time

Posted on:

Location Type: Hybrid

Location: Chicago • Illinois • 🇺🇸 United States

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Salary

💰 $115,000 - $135,000 per year

Job Level

Mid-LevelSenior

Tech Stack

AirflowAmazon RedshiftBigQueryCloudGoogle Cloud PlatformGrafanaPrometheusPythonSplunkSQLTableau

About the role

  • Design, build, and operate reliable data pipelines and analytics that power critical metrics and dashboards across the firm
  • Serve as a central point of contact for data requests from trading and technology teams, helping stakeholders understand what data exists and how to use it effectively
  • Partner with stakeholders to translate business questions into clear data requirements, and set expectations around effort, complexity, and timelines for new pipelines and data sources
  • Implement and iterate on metrics, reports, and analyses for both Trading and Technology, validating results and resolving discrepancies
  • Define, implement, and maintain data quality checks (e.g., validation rules, reconciliations, anomaly detection) to ensure accuracy, completeness, and timeliness of key datasets
  • Monitor data pipelines, dashboards, and quality indicators; proactively diagnose and remediate performance, reliability, and integrity issues
  • Collaborate with other teams to modernize legacy processes, improve performance, reduce operational risk, and roll out new platform capabilities
  • Document data definitions, business rules, lineage, and usage patterns so teams can confidently self-serve and trust the data they consume
  • Participate in incident response for data-related issues, drive root-cause analysis, and implement preventative improvements
  • Develop a deep understanding of our data sources, trading workflows, and quantitative analyses through hands-on querying, exploration, and collaboration with quants and engineers
  • Contribute to establishing and evolving standards, best practices, and tooling for data integrity across the Data Platform team
  • Occasionally perform duties outside of trading hours, including weekends and holidays, as required for scheduled maintenance or to address unforeseen emergencies

Requirements

  • Professional experience in data integrity engineering, data engineering, analytics engineering, or similar data-focused role
  • Strong SQL skills and solid understanding of relational and non-relational data modeling
  • Experience building, scheduling, and monitoring data pipelines using orchestration/workflow tools (e.g., Airflow, Dataform)
  • Exposure to modern cloud data warehouses and tooling (e.g., BigQuery, Snowflake, Redshift)
  • Proficiency with Python scripting
  • Exposure to data visualization tools (e.g., Power BI, Looker, Tableau)
  • Familiarity with data quality frameworks and practices (validation rules, anomaly detection, reconciliation, testing)
  • Comfortable using Git or similar tools for version control
  • Experience with monitoring/alerting tools (e.g., Grafana, Prometheus, Splunk, DataDog, GCP, Cloudwatch, Cloud Monitoring, etc.)
  • Excellence in triaging and root cause analysis of ambiguous problems
  • Clear written and verbal communication skills, including explaining data concepts to non-technical stakeholders
  • High attention to detail, ownership mindset, and a demonstrated interest in understanding how data is used by the business
  • Comfortable in a fast paced, time sensitive environment, dealing directly with executives, traders and quants
Benefits
  • Additionally, certain positions at Belvedere Trading are eligible for discretionary bonuses.
  • Our employees have access to a variety of benefits, which can be found on our website here.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
SQLdata integrity engineeringdata engineeringanalytics engineeringdata modelingPythondata quality frameworksroot cause analysisdata visualizationdata pipelines
Soft skills
clear communicationattention to detailownership mindsetproblem solvingcollaborationstakeholder managementadaptabilitytime managementtriaginganalytical thinking