Job Url: https://www.linkedin.com/jobs/search/?currentJobId=4350712614&distance=25.0&f_AL=true&f_TPR=r86400&f_WT=2&geoId=103644278&keywords=software%20engineer&origin=JOB_SEARCH_PAGE_JOB_FILTER&spellCorrectionEnabled=true&start=200 Job Description: Senior Data Engineer Oxenham Group · New Jersey, United States (Remote) Easy Apply Save Save Senior Data Engineer  at Oxenham Group Show more options Your profile is missing required qualifications Show match details Help me update my profile BETA Is this information helpful? Get personalized tips to stand out to hirers Find jobs where you’re a top applicant and tailor your resume with the help of AI. Try Premium for PKR0 Meet the hiring team John Glynn 3rd Director of Recruiting at Oxenham Group Job poster Message About the job Senior Data Engineer Position Overview We are seeking a Senior Data Engineer to support a large-scale, mission-critical data platform for a regulated U.S. government program. This role focuses on designing, building, and maintaining scalable data pipelines and analytics-ready data environments in the cloud. The ideal candidate brings deep experience with SQL, Python, and Snowflake, strong data modeling fundamentals, and a disciplined engineering mindset suitable for high-trust environments. This position requires U.S. Person status due to the nature of the work. Key Responsibilities Design, develop, and maintain scalable, reliable data pipelines supporting analytics, reporting, and downstream applications Build and optimize data ingestion, transformation, and aggregation workflows using SQL and Python Implement and manage data models in Snowflake optimized for performance, cost, and analytical use cases Partner with data analysts, data scientists, and application teams to translate business and mission requirements into technical solutions Ensure data quality, consistency, and integrity through validation frameworks and automated checks Optimize query performance, warehouse usage, and storage strategies within Snowflake Support batch and near-real-time data processing patterns as required by the platform Contribute to data architecture decisions, standards, and best practices Develop and maintain technical documentation for data pipelines, schemas, and operational processes Participate in code reviews and mentor junior engineers as needed Support production operations, troubleshooting, and root-cause analysis for data issues Required Qualifications 7–10 years of experience in data engineering, data warehousing, or backend data platform development Advanced SQL expertise, including complex transformations, performance tuning, and query optimization Strong Python experience for data processing, orchestration, and automation Hands-on experience designing and operating Snowflake data warehouses in production environments Solid understanding of data modeling concepts (dimensional, relational, and analytical models) Experience building ETL/ELT pipelines and working with structured and semi-structured data Familiarity with cloud-based data architectures and modern data engineering practices Strong problem-solving skills and the ability to work independently in a fast-moving environment Excellent communication skills and comfort working with cross-functional stakeholders U.S. Person status required Nice to Have Experience with data orchestration tools (e.g., Airflow or similar) Exposure to DevOps or DataOps practices, including CI/CD for data pipelines Experience working in regulated, government, or defense-related environments Familiarity with data governance, lineage, and metadata management concepts