CertifID
Senior Data Engineer
United States · Senior
Sponsorship not specifiedDetected 28 days ago
PythonDistributed SystemsSQLBigQuerySnowflakeRedshiftDatabricksTerraformCI/CDKafkaAirflowData EngineeringTest AutomationPipeline Integrity
About the role
- Cybercrime is rising, reaching record highs in 2024.
- According to the FBI's IC3 report https://www.certifid.com/article/2023-fbi-ic3-report-what-you-need-to-know total losses exceeded $16 billion.
- With investment fraud and BEC scams at the forefront, the message is clear: the real estate sector remains a lucrative target for cybercriminals.
Responsibilities
- Design, build, and operate the core data infrastructure: data lake, warehouse, orchestration, observability, and governance, using declarative configuration and infrastructure as code (Terraform or equivalent) so the platform is reproducible and auditable
- Partner with platform and domain teams to design ingestion pipelines and implement declarative configuration for data sources across the stack
- Own streaming and near-real-time data flows for fraud signal propagation, transaction status events, and verification webhooks, with the reliability expectations those require
- Build for scale: partition strategies, clustering, late-arriving data handling, and backfill patterns that hold up when data volume doubles
- Partner with Product, Finance, CS, and GTM to translate business questions into data models and help teams measure what actually matters
- Implement CI/CD pipelines for data systems: automated testing, schema change detection, data contract validation, deployment gates, and cost optimization and performance tuning as ongoing practice, not one-time projects
- You will own the systems that make it trustworthy, fast, and useful.
Requirements
- 6+ years in data engineering with primary, end-to-end ownership of a production data platform, not a supporting role on a large team
- Direct experience designing and operating streaming or near-real-time pipelines (Kafka, Kinesis, Pub/Sub, Flink, or equivalent) at production scale, including debugging failures under load
- Hands-on production experience with cloud-based data platforms (Snowflake, BigQuery, Redshift, Databricks, or equivalent) and a production-grade orchestrator (Airflow, Dagster, Prefect, or equivalent)
- You have joined teams where the data was a mess, and you shipped before the situation was fully resolved, because waiting for perfection was not an option
- Make the numbers defensible: when a business leader challenges a metric, you can walk them through exactly how it is calculated, what is excluded, and why
Nice to have
- Go is a meaningful plus
Benefits
- Flexible vacation
- Health, dental, and vision Insurance (including a $0 option)
- Life insurance
- Generous parental paid leave
- Wellness reimbursement of $300/year
- Professional development reimbursement
- Remote worker reimbursement of $300/year
Company info
- What We're Looking For
- That data is how we detect fraud, how our customers measure risk, and how the business operates.
- We're looking for people who are eager to learn, adapt, and solve challenges-so if that sounds like you, don't let a checklist hold you back!
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