> Markdown version of [/jobs/ext/289016-lead-data-engineer](https://www.wearedevelopers.com/jobs/ext/289016-lead-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). --- # Lead Data Engineer - **Company:** USDM Life Sciences - **Location:** Piscataway, NJ, United States - **Experience:** Expert - **Salary:** $156,000.0 - $176,800.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Agile Methodology, Airflow, Audit Trail, Microsoft Azure, BigQuery, Cloud Computing, Information Systems, Computer Programming, Continuous Integration, Data Architecture, Data Validation, Information Engineering, Data Governance, Data Infrastructure, Data Integrity, Extract Transform Load (ETL), Data Security, Data Warehousing, Python (Programming Language), Metadata, Performance Tuning, Role-Based Access Control, Cloud Services, Standard Sql, SQL Databases, Systems Integration, Workflow Management Systems, Enterprise Data Management, Data Storage Management, Enterprise Software Applications, Snowflake, Apache Spark, Build Management, Data Lakes, Kubernetes, Information Technology, Integration Frameworks, Non-relational Database, Data Management, Azure Synapse Analytics, Software Version Control, Data Pipelines, GXP, Amazon Redshift - **Published:** May 28, 2026 - **Apply:** https://usdm.my.salesforce-sites.com/Careers/ts2__JobDetails?jobId=a10Vo00000V0xsfIAB&tSource= ## About the Role * 7-10 years of hands-on data engineering experience. * Total 15+ years of IT experience * Strong experience with Microsoft Azure orchestration/integration services. * Strong experience working with Snowflake as a data lake/warehouse. * Proven experience with ETL/ELT and push/pull integration patterns. * Experience operating in regulated or validated (GxP) environments. * Strong SQL and data engineering fundamentals. * Experience with enterprise data platforms and multi-domain data architectures. * Familiarity with CI/CD, role-based access control, and secure data sharing. * Experience in Data Catalog tools and implementation * Preferred -Experience integrating ERP, manufacturing, or regulated systems. IT Skills Technical Skills * Strong programming skills (Python, SQL; Java/Scala a plus) * Experience with data warehousing and lakehouse architectures * Hands-on experience with ETL/ELT tools and orchestration frameworks * Proficiency with relational and non-relational databases * Strong understanding of data modeling, normalization, and performance tuning Cloud & Tools (examples) * Cloud data platforms (e.g., Azure Synapse, Snowflake, BigQuery, Redshift) * Data processing frameworks (e.g., Spark) * Orchestration tools (e.g., Airflow) * Version control and CI/CD practices Education & Certifications * Bachelor's degree in Computer Science, Engineering, Information Systems, or related field (Master's preferred) ## Description * The Lead Data Engineer will be responsible for developing and maintaining ETL/ELT pipelines for ingesting data from various sources into our data warehouse. * Design and build batch and incremental data pipelines using Azure-native orchestration services to move data into and out of Snowflake. * Support push and pull architectures across files, APIs, enterprise applications, and external partners. * Develop curated, consumption-ready datasets in Snowflake using standardized, reusable patterns. * Implement data quality, and reconciliation controls within pipelines. * Follow CI/CD and controlled deployment practices across Dev / QA / Prod environments. * Ensure solutions meet GxP expectations for data integrity, traceability, auditability, and change control. * Partner with Quality, Validation, and platform teams to support compliance and audit readiness. * Data Catalog, Metadata & Governance Enablement: + Publish and maintain data assets, schemas, and lineage in the enterprise data catalog. + Partner with Data Governance and Business teams to support certified datasets, ownership, and usage transparency. + Work with an end-to-end ownership mindset, innovate and drive initiatives through completion. + Optimize data storage and retrieval to ensure efficient performance and scalability. + Collaborate with data architects, data analysts and data scientists to understand their data needs and ensure that the data infrastructure supports their requirements. + Ensure data quality and integrity through data validation and testing. + Implement and maintain security protocols to protect sensitive data. + Stay up-to-date with emerging trends and technologies in data engineering and analytic. + Community lead to enable adoption of data and technology strategy. + Knowledgeable in evolving trends in Data platforms and Product based implementation. + Comfortable working in a fast-paced environment with minimal oversight. + Prior experience working in an Agile/Product based environment Additional Responsibilities * Performs other related duties and assignments as required ## Related Videos - [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) - [Blueprints for Success: Steering a Global Data & AI Architecture](https://www.wearedevelopers.com/videos/1577-blueprints-for-success-steering-a-global-data-ai-architecture) - [A Data Mesh needs Open Metadata](https://www.wearedevelopers.com/videos/505-a-data-mesh-needs-open-metadata) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [AI Model Management Life Circles: ML Ops For Generative AI Models From Research to Deployment](https://www.wearedevelopers.com/videos/1152-ai-model-management-life-circles-ml-ops-for-generative-ai-models-from-research-to-deployment) ## Related Articles - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market)