Data Engineers (Principal and Senior roles)
Location
United States
Posted
90 days ago
Salary
0
Seniority
Lead
Job Description
Data Engineers (Principal and Senior roles)
Worth AI
Role Description 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 raving fans both for our employees and customers. Worth is looking for a Senior and Principal level Data Engineers to own the company-wide data architecture and platform. Responsibilities include: - 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. Qualifications - 10+ 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. Requirements - 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 Have - Feature 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
Job Requirements
- 10+ 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 Have
- Feature 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
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