Job Title: Principal Data Engineer

Company Name: Worth AI

Job Details: RemoteFull,Time

Job Url: https://hiring.cafe/viewjob/f6i78pum964p4flx

Job Description: Posted 3mo agoPrincipal Data Engineer@ Worth AIView All JobsWebsiteOrlando, Florida, United StatesRemoteFull TimeResponsibilities:Architect data, Design pipelines, Enforce governanceRequirements Summary:10+ years data engineering; 3+ years in staff/principal; AWS cloud and modern data warehouse; SQL and Python/Scala; orchestration; data modeling; data quality and security.Technical Tools Mentioned:AWS, Snowflake, Redshift, Databricks, Python, SQL, Scala, Java, Airflow, Dagster, Prefect, dbt, Kafka, Kinesis, PubSub, 3NF, star, data vault, data quality tooling, feature stores, Great Expectations, Deequ
Worth AI, a leader in the computer software industry, is looking for a talented and experienced Principal Data Engineer to join their innovative team. At Worth AI, we are on a mission to revolutionize decision-making with the power of artificial intelligence while fostering an environment of collaboration, and adaptability, aiming to make a meaningful impact in the tech landscape.. Our team values include extreme ownership, one team and creating reaving fans both for our employees and customers.Worth is looking for a Principal Data Engineer to own the company-wide data architecture and platform. Design and scale reliable batch/streaming pipelines, institute data quality and governance, and enable analytics/ML with secure, cost-efficient systems. Partner with engineering, product, analytics, and security to turn business needs into durable data products.ResponsibilitiesWhat you will do: Architecture & Strategy  Define end-to-end data architecture (lake/lakehouse/warehouse, batch/streaming, CDC, metadata). Set standards for schemas, contracts, orchestration, storage layers, and semantic/metrics models. Publish roadmaps, ADRs/RFCs, and “north star” target states; guide build vs. buy decisions.  Platform & Pipelines  Design and build scalable, observable ELT/ETL and event pipelines. Establish ingestion patterns (CDC, file, API, message bus) and schema-evolution policies. Provide self-service tooling for analysts/scientists (dbt, notebooks, catalogs, feature stores). Ensure workflow reliability (idempotency, retries, backfills, SLAs).  Data Quality & Governance  Define dataset SLAs/SLOs, freshness, lineage, and data certification tiers. Enforce contracts and validation tests; deploy anomaly detection and incident runbooks. Partner with governance on cataloging, PII handling, retention, and access policies.  Reliability, Performance & Cost  Lead capacity planning, partitioning/clustering, and query optimization. Introduce SRE-style practices for data (error budgets, postmortems). Drive FinOps for storage/compute; monitor and reduce cost per TB/query/job.  Security & Compliance  Implement encryption, tokenization, and row/column-level security; manage secrets and audits. Align with SOC 2 and privacy regulations (e.g., GDPR/CCPA; HIPAA if applicable).  ML & Analytics Enablement  Deliver versioned, documented datasets/features for BI and ML. Operationalize training/serving data flows, drift signals, and feature-store governance. Build and maintain the semantic layer and metrics consistency for experimentation/BI.  Leadership & Collaboration  Provide technical leadership across squads; mentor senior/staff engineers. Run design reviews and drive consensus on complex trade-offs. Translate business goals into data products with product/analytics leaders.  Requirements10+ years in data engineering (including 3+ years as staff/principal or equivalent scope).Proven leadership of company-wide data architecture and platform initiatives.Deep experience with at least one cloud (AWS) and a modern warehouse or lakehouse (e.g., Snowflake, Redshift, Databricks).Strong SQL and one programming language (Python or Scala/Java).Orchestration (Airflow/Dagster/Prefect), transformations (dbt or equivalent), and streaming (Kafka/Kinesis/PubSub).Data modeling (3NF, star, data vault) and semantic/metrics layers.Data quality testing, lineage, and observability in production environments.Security best practices: RBAC/ABAC, encryption, key management, auditability.** All Remote Hires - will be required to travel to Orlando, Florida at least twice per year for Town Halls and team collaboration in addition to orientation in Orlando, Florida.Nice to HaveFeature stores and ML data ops; experimentation frameworks.Cost optimization at scale; multi-tenant architectures.Governance tools (DataHub/Collibra/Alation), OpenLineage, and testing frameworks (Great Expectations/Deequ).Compliance exposure (SOC 2, GDPR/CCPA; HIPAA/PCI where relevant). Model features sourced from complex 3rd-party data (KYB/KYC, credit bureaus, fraud detection APIs)Benefits Health Care Plan (Medical, Dental & Vision) Retirement Plan (401k, IRA) Life Insurance Unlimited Paid Time Off 9 paid Holidays Family Leave Work From Home Free Food & Snacks (Access to Industrious Co-working Membership!) Wellness Resources