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iCIMS Sr. Data Engineer in Holmdel, New Jersey

Job Overview

We are seeking a highly skilled and experienced Senior Data Engineer to join our team. In this role, you will design, build, and optimize data pipelines, storage systems and analytics solutions to support our organization’s data-driven decision-making processes. As a senior member of the team, you will also mentor junior engineers and collaborate with cross-functional teams to deliver scalable, efficient, and reliable data solutions.

About Us

When you join iCIMS, you join the team helping global companies transform business and the world through the power of talent. Our customers do amazing things: design rocket ships, create vaccines, deliver consumer goods globally, overnight, with a smile. As the Talent Cloud company, we empower these organizations to attract, engage, hire, and advance the right talent. We’re passionate about helping companies build a diverse, winning workforce and about building our home team. We're dedicated to fostering an inclusive, purpose-driven, and innovative work environment where everyone belongs.

Responsibilities

  • Design, develop and maintain scalable data pipelines and ETL processes.

  • Collaborate with software engineers, data scientists, and product managers to understand data requirements and provide tailored solutions.

  • Optimize and enhance the performance of our data infrastructure to support analytics and reporting.

  • Implement and maintain data governance and security best practices.

  • Troubleshoot and resolve data-related issues and ensure data quality and integrity.

  • Mentor and guide junior data engineers, fostering a culture of continuous learning and improvement.

  • Stay up to date with the latest industry trends and technologies to drive innovation within the team.

Qualifications

  • Bachelor’s or master’s degree in computer science, Engineering, or a related field.

  • 5+ years of experience in data engineering, with a focus on building and maintaining large-scale data pipelines and systems.

  • Proficiency in programming languages such as Python or Java.

  • Expertise in SQL and experience with relational and non-relational databases (e.g., PostgreSQL, MySQL, MongoDB).

  • Hands-on experience with cloud platforms (AWS preferred) and associated services like S3, Redshift, BigQuery.

  • Strong understanding of data modeling, warehousing, and schema design principles.

  • Familiarity with data modeling tools like dbt.

  • Familiarity with BI tools like Looker, Tableau etc.

  • Knowledge of version control systems like Git and CI/CD pipelines.

  • Strong problem-solving and analytical skills with attention to detail.

EEO Statement

iCIMS is a place where everyone belongs. We celebrate diversity and are committed to creating an inclusive environment for all employees. Our approach helps us to build a winning team that represents a variety of backgrounds, perspectives, and abilities. So, regardless of how your diversity expresses itself, you can find a home here at iCIMS.

We are proud to be an equal opportunity and affirmative action employer. We prohibit discrimination and harassment of any kind based on race, color, religion, national origin, sex (including pregnancy), sexual orientation, gender identity, gender expression, age, veteran status, genetic information, disability, or other applicable legally protected characteristics. If you would like to request an accommodation due to a disability, please contact us at careers@icims.com.

Compensation and Benefits

The target total compensation for this role is $111,000. Compensation will be based upon experience.

Competitive health and wellness benefits include medical, dental, vision, 401(k), dependent care, short term and long term disability, life and AD&D insurance, bonding and parental leave, mindfulness resources, an open vacation policy, sick days, paid holidays, quiet hours each workday, and tuition reimbursement. Benefits and eligibility may vary by location, role, and tenure. Learn more here: https://careers.icims.com/benefits

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