> Markdown version of [/jobs/ext/3551363-senior-data-engineer](https://www.wearedevelopers.com/jobs/ext/3551363-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:** Covenant LLC
- **Location:** Woodcliff Lake, NJ, United States
- **Experience:** Expert
- **Contract:** Temporary contract
- **Skills:** Application Programming Interfaces (APIs), JIRA, BigQuery, Data Integration, Extract Transform Load (ETL), Data Transformation, Data Systems, Data Warehousing, Github, Python (Programming Language), Netsuite, Salesforce.Com, SQL Databases, Google Cloud, Data Ingestion, GitHub Copilot, Large Language Models, Operational Systems, Claude, Data Delivery, Api Design, Data Pipelines, Service Stack
- **Published:** October 2, 2026
- **Apply:** https://www.disabledperson.com/jobs/75687677-senior-data-engineer

## About the Role

* Strong BigQuery and Google Cloud Platform (GCP) expertise with hands-on experience working extensively in BigQuery.
 * Advanced SQL expertise, including writing and optimizing complex queries.
 * Strong ETL/ELT pipeline development and management experience, including building and operating scalable, reliable data pipelines.
 * Strong Python experience for data transformation, automation, and pipeline development.
 * API-based data integration experience, including incorporating API-sourced data into ETL/ELT workflows and handling pagination, rate limits, retries, schema drift, and partial failures.

## Description

* Design, build, and maintain scalable data pipelines that move data from source systems through transformation into analytics-ready datasets.
 * Own and improve data orchestration workflows to ensure reliable and timely data availability for reporting and business decision-making.
 * Build and support API-driven data ingestion patterns across internal and external systems, including handling real-world API reliability challenges.
 * Develop and maintain data models, warehouse entity relationships, datasets, and views optimized for downstream analytics and reporting.
 * Implement data quality and governance practices, including validation, completeness testing, reconciliation, lineage, and documentation.
 * Build monitoring and alerting capabilities to track pipeline health, data freshness, failures, and SLA adherence.
 * Optimize pipeline performance, BigQuery query efficiency, and data warehouse costs.
 * Support reverse ETL and outbound data delivery, including delivering curated datasets into operational systems through APIs.
 * Integrate and model business-critical data from CRM and ERP platforms, including Salesforce and NetSuite.
 * Collaborate cross-functionally with analytics, product, engineering, and business stakeholders to deliver reliable data solutions.
 * Use modern AI/LLM tools to accelerate data and analytics workflows, with Claude experience considered a plus.
 * Work within a modern technology stack that includes SQL, Python, GCP, BigQuery, Salesforce, NetSuite, GitHub, GitHub Copilot, and Jira.


## Related Videos

- [GitOps for the people](https://www.wearedevelopers.com/videos/461-gitops-for-the-people)
- [Claude, MCP and n8n, or: How to Automate Your Day with AI-powered Workflows](https://www.wearedevelopers.com/videos/2043-claude-mcp-and-n8n-or-how-to-automate-your-day-with-ai-powered-workflows)
- [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next)
- [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering)
- [Improving quality with Agentic AI with Rovo Dev and Xray](https://www.wearedevelopers.com/videos/2005-improving-quality-with-agentic-ai-with-rovo-dev-and-xray)
- [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)

## 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)
- [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)
- [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)