No Relocation Assistance Offered
Job Number #175879 - Piscataway, New Jersey, United States
As a
Data Engineer, you will focus on developing data pipelines for multi-functional teams, ultimately empowering the organization to make more data-driven decisions. You will be responsible for building data pipelines from source to consumption layer, following the medallion architecture (Bronze, Silver, Gold). Leveraging a technology stack that includes Snowflake, dbt, Python, and SQL, you will assemble large, sophisticated data sets that meet functional and non-functional business requirements. Working with various stakeholders, you will gather requirements and deliver compliant, efficient, sustainable, and well-documented solutions.
This position is based out of the Piscataway, NJ location. Work visa sponsorship is not available for this position.What you'll do- Design, build, and maintain production data pipelines from ingestion to consumption using Snowflake, dbt, Python, and SQL following Medallion Architecture standards.
- Assemble large-scale, complex datasets aligned with enterprise standards while optimizing infrastructure for performance and cost.
- Drive continuous pipeline improvement by automating manual workflows, tuning query execution, and evaluating emerging data technology.
- Partner with business and IT stakeholders to translate functional requirements into scalable data delivery solutions and resolve technical pipeline blockers.
- Enforce code quality and enterprise compliance through peer GitHub code reviews, technical documentation, and pipeline design standards.
Required Qualifications- Bachelor's Degree in Computer Science, Information Technology, Engineering, or a related field.
- 2+ years of professional experience as a Data Engineer or related role.
- Proven experience in Python, SQL, and cloud infrastructure (AWS/GCP), with hands-on expertise building scalable data pipelines, managing databases, and utilizing Git, containerization (Docker/Kubernetes), Terraform, Airflow, and Snowflake/dbt.
Preferred Qualifications- Previous experience in a Data Engineering role working closely with other programmers (Software Engineers, Data Scientists, etc.).
- Experience in network, server, and application-status monitoring.
- Familiarity with software-automation production systems (GitHub Actions, Selenium, etc.).
- Familiarity with code deployment tools.
- Familiarity with preparing datasets for AI/ML models, vector embeddings, or feature engineering.
Compensation and BenefitsSalary Range $76,800.00 - $121,000.00 USD
Pay is determined based on experience, qualifications, and location. Salaried employees may also be eligible for discretionary bonuses, profit-sharing, and long-term incentives for Executive-level roles.
Benefits: Salaried employees enjoy a comprehensive benefits package, including medical, dental, vision, basic life insurance, paid parental leave, disability coverage, and participation in the 401(k) retirement plan with company matching contributions subject to eligibility requirements. Additional benefits include a minimum of 15 vacation/PTO days (hourly employees receive a minimum of 120 hours) and 13 paid holidays (vacation days are prorated based on the employee's hire date within the calendar year). Paid sick leave is adjusted based on role and location in accordance with local laws. Detailed information regarding paid sick leave entitlements will be provided to employees upon hiring and may be subject to adjustments based on changes in legislation or company policies.
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