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Data Engineer

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Citi

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Location:
United States , Jersey City

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Category:
IT - Software Development

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Contract Type:
Employment contract

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Salary:

142320.00 - 213480.00 USD / Year
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Job Description:

Senior data engineering role delivering large-scale data integration solutions across CRM ecosystems using ETL tooling, Python automation, and advanced SQL/NoSQL capabilities.

Job Responsibility:

  • Data integration delivery: Design, build, and operate robust batch and near-real-time integration pipelines for CRM data domains (e.g., customers, products, orders, invoices, service interactions)
  • ETL/ELT engineering: Develop and optimize workflows using enterprise ETL tools
  • establish reusable patterns for ingestion, transformation, and publish layers
  • Python engineering: Build Python-based utilities and frameworks for data loads, automation, validation, reconciliation, and operational tooling
  • SQL excellence: Write and tune complex SQL (query optimization, indexing strategy awareness, incremental loads, CDC patterns, and performance troubleshooting)
  • NoSQL competence: Apply non-relational data modeling and query patterns where appropriate (document/columnar/key-value/graph), including performance and consistency considerations
  • Data quality and controls: Implement validation rules, error handling, auditability, and reconciliation controls
  • create monitoring/alerting to meet SLAs/SLOs
  • Architecture and design: Contribute to system architecture and integration design decisions (data contracts, schemas, idempotency, versioning, resiliency)
  • Security and compliance: Ensure data pipelines follow security best practices (encryption, access control, secrets management) and align with retention and privacy requirements
  • Collaboration: Work closely with CRM application teams, enterprise architects, and analytics consumers to align on data definitions and delivery priorities
  • Operational ownership: Participate in release planning, production support, incident triage, and continuous improvement to enhance reliability and reduce run-time cost

Requirements:

  • 6-10 years of experience in data engineering, data integration, or platform engineering with a focus on large enterprise programs
  • Proven track record delivering data integration for ERP and/or CRM platforms in complex environments
  • Strong hands-on experience with one or more enterprise ETL/ELT tools (e.g., Informatica, DataStage, SSIS, Talend, Azure Data Factory, Matillion, dbt or similar)
  • Advanced Python skills for data processing, automation, and scripting (packaging, logging, error handling, and testing discipline)
  • Expert-level SQL skills, including performance tuning and data warehousing concepts (dimensional modeling awareness a plus)
  • Working knowledge of NoSQL concepts and at least one NoSQL technology (implementation experience preferred)
  • Strong understanding of data pipeline fundamentals: incremental loading, late-arriving data, schema evolution, and end-to-end observability
  • Ability to communicate clearly with both technical and non-technical stakeholders
  • strong documentation and design skills

Nice to have:

  • Experience with streaming/event-driven data integration (e.g., Kafka or similar) and CDC-based ingestion patterns
  • Experience with cloud data platforms and modern lakehouse/warehouse ecosystems
  • Knowledge of data governance practices (metadata, lineage, data quality frameworks)
  • Experience implementing DevOps practices for data engineering (CI/CD for pipelines, infrastructure-as-code, automated testing)
What we offer:
  • medical
  • dental & vision coverage
  • 401(k)
  • life, accident, and disability insurance
  • wellness programs
  • paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays

Additional Information:

Job Posted:
May 04, 2026

Expiration:
June 15, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
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