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EXL

Senior GCP Data Engineer

EXL United States · $85K–$110K/yr

Business Consulting and Services · 10,001+ employees

8 h ago
data-engineer Principal (10+ yrs) Full-time United States
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About the role

The Senior Data Engineer will lead end-to-end data engineering initiatives and design scalable data platforms. They will collaborate with Data Science and Analytics teams to support advanced analytics and machine learning use cases.

What they look for

GCP SQL Python Scala ETL Apache Spark Dimensional modeling Data warehousing Machine learning Data engineering Leadership Architectural thinking Data governance Data lineage Data quality Real-time processing

Requirements

Candidates must have 8+ years of experience in data engineering with strong leadership skills and expertise in the GCP ecosystem. Proficiency in SQL, Python, or Scala, along with experience in ETL frameworks and dimensional modeling, is required.

Benefits

Bonus

Full description

Senior Data Engineer (Lead)

Hyrbid; Hartford, CT

$85k to $110k plus bonus

For more information on benefits and what we offer please visit us at https://www.exlservice.com/us-careers-and-benefits

The posted range is the hiring range for this role — a subset of the broader range available to employees over time — and reflects base salary across our national hiring scale. Final offers are based on several factors, including the candidate's skills and experience, internal pay equity, work location, market conditions for the role, and the specific scope and responsibilities of the position. The top of the range is reserved for candidates who notably exceed the requirements; the lower end applies to those with less experience or fewer preferred qualifications. For positions based in higher-cost zones (e.g., California, New York, New Jersey), actual compensation may exceed the posted range; your recruiter will share specifics during the process.

We are seeking a Senior Data Engineer (Lead) to drive and own end-to-end data engineering initiatives. This role will lead all data engineering efforts, working closely with Data Science and Analytics teams to design scalable data platforms, enable advanced analytics, and support machine learning use cases.

The ideal candidate will bring deep expertise in cloud data engineering (GCP), strong data modeling capabilities, and proven experience in leading enterprise-grade data solutions.

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