Senior GCP Data Engineer

EXL

Senior Data Engineer leading end-to-end data engineering initiatives at EXL Service. Collaborating with data science and analytics teams on scalable data platforms and advanced analytics.

Posted 6/2/2026full-time🇺🇸 United StatesSenior💰 $100,000 per yearWebsite

Tech Stack

Tools & technologies

AirflowApacheBigQueryCloudETLGoogle Cloud PlatformPythonScalaSparkSQLVault

About the role

Key responsibilities & impact

Lead and manage **end-to-end Data Engineering delivery** across projects and initiatives
Act as the **primary technical owner** for data pipelines, architecture, and platform design
Mentor and guide a team of data engineers, ensuring best practices and coding standards
Design, build, and optimize **scalable data pipelines** on GCP
Define and implement **modern data architectures** (data lake, lakehouse, warehouse)
Ensure high performance, reliability, and data quality across pipelines
Partner closely with **Data Science teams** to enable ML/AI workflows
Translate business and modeling requirements into **optimized data structures**
Support feature engineering, model training, and deployment pipelines
Design **logical and physical data models** for analytics and ML use cases
Implement **dimensional modeling (Star/Snowflake schemas)** and data vault where applicable
Optimize datasets for performance, scalability, and usability
Build and manage solutions using GCP services such as: **BigQuery, Cloud Composer (Airflow), Cloud Storage, Dataproc**
Ensure security, governance, and cost optimization on GCP

Requirements

What you’ll need

8+ years of experience in **Data Engineering**, with leadership experience
Strong expertise in **GCP ecosystem and services**
Proficiency in **SQL, Python**, and/or Scala
Hands-on experience with **ETL frameworks and distributed processing**
Solid experience in Dimensional modeling, Data warehousing concepts, Data structures for ML/analytics
Experience with **Apache Spark **and** Real-time and batch processing frameworks**
Experience working with **cross-functional teams (Data Science, Analytics, Business)**
Proven ability to **lead, mentor, and drive delivery**
Strong ownership mindset with leadership capabilities
Excellent problem-solving and architectural thinking
Ability to operate in a **fast-paced, collaborative environment**
**Preferred Qualifications:**
Experience in **ML data pipelines / feature stores**
Knowledge of **data governance, lineage, and quality frameworks**
Exposure to **healthcare/payor domain (nice to have)**
Certifications in **GCP (Professional Data Engineer)**

Benefits

Comp & perks

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

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Hard Skills & Tools

Data EngineeringGCPSQLPythonScalaETL frameworksDimensional modelingData warehousingApache SparkReal-time processing

Soft Skills

leadershipmentoringproblem-solvingarchitectural thinkingcollaborationownership mindsetdelivery managementguidancecommunicationadaptability

Certifications

GCP Professional Data Engineer