> Markdown version of [/jobs/ext/2558291-senior-data-engineer](https://www.wearedevelopers.com/jobs/ext/2558291-senior-data-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Engineer - **Company:** Northern Base - **Location:** Raleigh, NC, United States (Remote available) - **Experience:** Expert - **Salary:** $140,000.0 - $185,000.0 - **Contract:** Permanent contract - **Skills:** Microsoft Excel, Airflow, Microsoft Azure, Cloud Computing, Cloud Engineering, Code Review, Continuous Integration, Information Engineering, Data Governance, Data Infrastructure, Data Integration, Data Masking, 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 - **Published:** August 10, 2026 - **Apply:** https://www.careerjet.com/jobad/usca885fd15502bb8cf2233f28ec0bbe39 ## About the Role 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 ## Related Videos - [WeAreDevelopers LIVE - Modern DevOps for IoT Devices and More](https://www.wearedevelopers.com/videos/1805-wearedevelopers-live-modern-devops-for-iot-devices-and-more) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Tips and Tricks for Working with JSON](https://www.wearedevelopers.com/videos/1229-tips-and-tricks-for-working-with-json) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Introducing JSON Structure](https://www.wearedevelopers.com/videos/100219-introducing-json-structure) - [Enabling automated 1-click customer deployments with built-in quality and security](https://www.wearedevelopers.com/videos/83-enabling-automated-1-click-customer-deployments-with-built-in-quality-and-security) ## Related Articles - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers)