Senior Data Engineer

Northern Base

Raleigh, NC, United States

24 days ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

8 years minimum

Compensation

$140,000.0 - $185,000.0

Working hours

Regular working hours

Job source

www.careerjet.com

Tech stack

Microsoft Excel Airflow Microsoft Azure Cloud Computing Cloud Engineering Code Review Continuous Integration Information Engineering Data Governance Data Infrastructure Data Integration Data Masking

+31 more

Data Systems IBM DB2 DevOps JSON Python (Programming Language) Mainframes Metadata Microsoft SQL Server Oracle (Applications) Performance Tuning Role-Based Access Control Release Management Azure DevOps Pipelines Tokenization Virtual Storage Access Methods Workflow Management Systems Extensible Markup Language (XML) Enterprise Data Management Data Ingestion Sql Optimization Delivery Pipeline Snowflake Change Data Capture Gitlab Pyspark Semi-structured Data Git Flow Information Technology Qlikview Database Replication Data Pipelines

Requirements

Enterprise Data Pipeline Architecture & Development Snowflake Data Platform Snowpipe, Tasks, Streams & Dynamic Tables Advanced SQL & Snowflake Performance Optimization DBT Cloud Development & Data Modeling Astronomer Airflow Workflow Orchestration Python-Based Data Ingestion Frameworks PySpark Development & Automation Qlik Replicate CDC & Database Replication Oracle, SQL Server & DB2 Data Replication Change Data Capture (CDC) Implementation Schema Drift Detection & Schema Evolution Metadata-Driven Data Pipeline Design CSV, JSON, XML, Excel & Semi-Structured Data Processing Mainframe VSAM Data Ingestion & EBCDIC Data Formats Snowflake Data Masking Policies Dynamic, Conditional & Role-Based Masking Protegrity Tokenization & Data Protection RBAC & Data Governance Controls GitLab & Azure DevOps CI/CD Pipelines Data Pipeline Monitoring & Alerting Performance Tuning & Scalability Optimization Preferred Experience: 8+ years of hands-on data engineering experience in enterprise environments Strong experience designing scalable cloud, on-prem, and hybrid data solutions Experience building secure and governed ingestion frameworks Experience implementing automated schema management strategies Experience with Snowflake security, governance, and workload optimization Experience managing Qlik Replicate tasks with reconciliation and monitoring Experience developing DBT models with testing, documentation, and lineage Experience building reliable Airflow workflows with dependency management, retries, and SLAs Strong understanding of DevOps practices, code reviews, branching strategies, and release management Excellent analytical, troubleshooting, and communication skills Education: Bachelor’s Degree in Computer Science, Information Technology, Engineering, or related field preferred. Tech Stack: Snowflake | Snowpipe | Snowflake Streams | Snowflake Tasks | Dynamic Tables | Advanced SQL | DBT Cloud | Astronomer Airflow | Apache Airflow | Python | PySpark | Qlik Replicate | CDC | Oracle | SQL Server | DB2 | Schema Drift | Schema Evolution | Metadata-Driven Pipelines | VSAM | EBCDIC | Protegrity | Data Masking | RBAC | Data Governance | GitLab | Azure DevOps | CI/CD | Data Integration | Pipeline Monitoring | Performance Optimization

Benefits & conditions

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