Senior Data Engineer - Contract

MUST HAVE: Bachelor's Degree and 6 years of experience in Advanced data engineering, enterprise architecture, project leadership OR High School Diploma or GED and 10 years of experience in Advanced data engineering, enterprise architecture, project leadership US Citizenship / Green Card status You will design, build, and operate secure, audited, and cost-efficient data pipelines on Snowflake—from raw ingestion to Data Vault 2.0 models and onward to business-friendly consumption layers (mart/semantic). You'll use Qlik/Glue/ETLs for ingestion, dbt Cloud for modeling/testing, MWAA/Airflow and/or dbt Clouds orchestration for scheduling and Terraform (with HashiCorp practices) for infrastructure-as-code. The ideal candidate must have hands-on experience with data ingestion frameworks and Snowflake platform database/schema design, security, networking, and governance that satisfy regulatory and compliance audit requirements. Responsibilities Modeling & Warehousing Design and implement scalable data ingestion frameworks Implement Raw ? DV 2.0 (Hubs/Links/Satellites) ? Consumption patterns in dbt Cloud with robust tests (unique/notnull/relationships/freshness). Build performant Snowflake objects (tables, streams, tasks, materialized views) and optimize clustering/micro-partitioning. Orchestration Author and operate Airflow (MWAA) DAGs and/or dbt Cloud jobs; design idempotent, rerunnable, lineage-tracked workflows with SLAs/SLOs. Security & Governance Enforce RBAC/ABAC, network policies/rules, masking/row access policies, tags, data classification, and least-privilege role hierarchies. Operationalize audit-ready controls (change management, approvals, runbooks, separation of duties, evidence capture). IaC & DevOps Use CI/CD flows, Terraform, Git branching for code promotion. Data Quality & Observability Bake tests into dbt; implement contract checks, reconciliations, and anomaly alerts. Monitor with Snowflake ACCOUNT_USAGE/INFORMATION_SCHEMA, event tables, and forward logs/metrics to SIEM/APM (e.g., Splunk, Datadog). Cost & Performance Right-size warehouses, configure auto-suspend/auto-resume, multi-cluster for concurrency, resource monitors, and query optimization. Compliance Build controls and evidence to satisfy internal audit, SOX/GLBA/FFIEC/PCI-like expectations. Qualifications Bachelor's Degree and 6 years of experience in Advanced data engineering, enterprise architecture, project leadership OR High School Diploma or GED and 10 years of experience in Advanced data engineering, enterprise architecture, project leadership Preferred : Snowflake Platform (hands-on, production): Secure account setup: databases/schemas/stages, RBAC/ABAC role design, grants, network policies/rules, storage integrations. Data protection: Dynamic Data Masking, Row Access Policies, Tag-based masking, PII classification/lineage tagging. Workloads & features: Streams/Tasks, Snowpipe, external tables, file formats, copy options, retries & dedupe patterns. Operations: warehouse sizing, multi-cluster, resource monitors, Time Travel & Fail-safe, cross-region/account replication. Networking concepts: AWS PrivateLink/S3 access patterns, external stages, (at least) high-level familiarity with VPC/DNS/ endpoint flows.