ICIMS Recruitment Drive 2026 | ICIMS Hiring Software Engineer

www.djobbuzz.com 18 Mar 2026

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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.

We are seeking a Data Engineer who is eager to take initiative and grow within a modern, cloud-based data engineering ecosystem.
This role is ideal for candidates with a solid foundation in data and programming concepts who want hands-on experience building, supporting, and improving data pipelines and analytics platforms at scale.
This role provides hands-on exposure to enterprise-scale cloud data platforms, real-world data challenges, SaaS integrations, and analytics use cases.
You will benefit from mentorship from senior data engineers and architects and work closely with business stakeholders to help design, implement, and operate reliable data solutions while developing strong fundamentals in data engineering best practices.
We are looking for a proactive, curious learner who is comfortable experimenting, asking questions, learning from feedback, and balancing technical execution with collaboration across teams.

Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field (or equivalent experience)
Foundational knowledge of data engineering technology stacks and data pipeline concepts
Hands-on experience with SQL and relational data concepts
Programming experience in Python, Java, Scala, Ruby, or similar languages
Basic understanding of ETL processes and extracting insights from large datasets
Familiarity with cloud-based data platforms through coursework, projects, or professional experience
Ability to learn quickly, take ownership, and work independently with guidance
Strong problem-solving skills and attention to detail
Good written and verbal communication skills

Assist in building, maintaining, and optimizing ETL / ELT data pipelines that process structured and semi-structured data
Support data ingestion and transformation workflows across cloud platforms such as Azure, Snowflake, Amazon S3, or Redshift
Write and maintain SQL for data transformation, validation, reconciliation, and analytics
Contribute to data solutions following medallion architecture principles (Bronze, Silver, Gold layers)
Assist with data modeling, data profiling, parsing, and data migration activities
Monitor data pipelines and help identify data quality issues, root causes, and remediation strategies
Develop and maintain basic automated tests and data reconciliation scripts to improve reliability
Participate in proofs of concept (PoCs), pilots, and prototypes, helping identify metrics and success criteria
Work with senior engineers to apply DevOps best practices, including version control, CI/CD, and environment management
Collaborate directly with business teams to understand data requirements and clearly communicate results
Support integrations with systems such as Salesforce, NetSuite, APIs, and other SaaS applications to enable reliable data ingestion and downstream analytics
Learn and apply data privacy, security, and governance principles in day-to-day work