Back End Developer - ETL

Remote position with occasional travel to Fort Meade, MDActive Top Secret clearance required for considerationOur client is the AI-native proactive security company behind their AI platform, trusted by 4 of the Fortune 10 to autonomously find, fix, and verify exploitable attack surfaces. Founded by former U.S. Special Operations cyber operators, startup engineers, and cybersecurity practitioners, we are redefining how organizations validate and strengthen their defenses.Role OverviewWe’re looking for a backend engineer to own the data pipelines that power our security intelligence platform — ingesting, transforming, and delivering high-fidelity signals at scale. Your work will directly fuel their platform’s ability to surface exploitable vulnerabilities and attack paths for the world’s most security-conscious organizations.What You’ll DoDesign, build, and maintain scalable ETL/ELT pipelines that process security telemetry, vulnerability data, and pentest results from [Platform] operationsArchitect data ingestion systems capable of handling high-throughput, semi-structured security event data from heterogeneous sourcesDevelop transformation layers that normalize, enrich, and correlate raw security findings into actionable intelligenceCollaborate with security research and product teams to surface new data signals, attack path metrics, and risk indicatorsBuild and maintain data quality frameworks, including schema validation, anomaly detection, and lineage trackingOptimize pipeline performance, reliability, and cost efficiency across cloud-native infrastructureContribute to a data platform that supports ML model training, detection rule development, and customer-facing analyticsOwn observability for data pipelines — alerting, SLAs, on-call, and incident responseRequired Experience5+ years backend engineering experience, with 2+ years focused on data engineering or ETL systemsStrong proficiency in Python and/or Go for pipeline developmentExperience with distributed data processing frameworks (Spark, Flink, or equivalent)Solid understanding of relational and columnar databases (PostgreSQL, Redshift, BigQuery, Snowflake)Hands-on experience with workflow orchestration tools (Airflow, Prefect, Dagster)Familiarity with streaming systems (Kafka, Kinesis, Pub/Sub)Cloud platform experience — AWS, GCP, or AzureComfortable working in a fast-moving startup with ambiguous requirementsPreferred QualificationsExperience processing security or network telemetry data (SIEM, EDR, vulnerability scanners)Background in offensive security, penetration testing tooling, or cybersecurity platformsFamiliarity with graph data models for attack path analysisExperience with dbt for data transformation and testingExposure to ML data pipelines and feature engineering workflowsPrior work at a security-focused startup or government/defense contractorU.S. security clearance (or eligibility) is a plusCore Tech StackPython · Go · Apache Kafka · Apache Spark · Airflow · PostgreSQL · Snowflake · dbt · AWS · Kubernetes · Docker · Terraform · Elasticsearch · GraphQLWhat We OfferMission-driven work — your pipelines directly power autonomous attack simulations protecting Fortune 10 companies, banks, and critical infrastructureCompetitive market-rate salary, equity, and comprehensive benefits including medical, dental, vision, and 401(k)Fully remote culture with flexible hours — we hire the best regardless of geographyWork alongside ex-JSOC operators, Splunk engineers, and top-tier security practitioners who ship fast and think deep