About Persistent
We are an AI-led, platform-driven Digital Engineering and Enterprise Modernization partner, combining deep technical expertise and industry experience to help our clients anticipate what?s next. Our offerings and proven solutions create a unique competitive advantage for our clients by giving them the power to see beyond and rise above. We work with many industry-leading organizations across the world, including 20 Fortune 50 companies and 4 of the 5 top banks in both the US and India, and numerous innovators across the healthcare ecosystem.
Our disruptor?s mindset, commitment to client success, and agility to thrive in the dynamic environment have enabled us to sustain our growth momentum. Persistent has been recognized across top industry platforms for innovation, leadership, and inclusion. We reported $1,654.4M FY26 revenue with 17.4% Y-o-Y growth. We have delivered 24 sequential quarters of growth with $436.0M in Q4 FY26 revenue, up 3.2% Q-o-Q and 16.2% Y-o-Y growth. Our 27,500+ global team members, located in 18 countries, have been instrumental in helping the market leaders transform their industries. We have been recognized as the Fastest Growing IT Services Brand Globally in the 2026 Brand Finance IT Services 25 Report. We named a Leader in the Everest Group Private Equity (PE) Services PEAK Matrix? Assessment 2026 and Software Product Engineering PEAK Matrix? Assessment 2026.
About Position:
We are hiring a GCP Data Engineer with strong expertise in Google Cloud Platform (GCP), BigQuery, and Matillion to design, develop, and optimize enterprise-scale cloud data solutions. The ideal candidate will be responsible for building scalable ETL/ELT pipelines, implementing modern data transformation frameworks, and delivering high-quality data platforms that support business and healthcare analytics requirements.
Role: GCP Data Engineer-
Location: All Persistent Location
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Experience: 6 to 12 years
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Job Type: Full-Time Employment
What You'll Do:
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Design, develop, and optimize cloud-native data platforms on Google Cloud Platform (GCP)
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Build and manage enterprise-scale data warehouses and data marts using BigQuery
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Develop transformation layers using dbt, including staging, intermediate, and marts models
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Implement dbt testing frameworks, documentation, macros, and CI/CD pipelines
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Design and develop robust ingestion and orchestration workflows using Matillion ETL
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Implement parameterization, error handling, monitoring, and audit logging in Matillion jobs
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Integrate dbt and Matillion workflows with Cloud Composer (Airflow)
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Design and maintain scalable ETL/ELT pipelines for structured and unstructured data
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Develop automation frameworks and validation processes using Python and SQL
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Collaborate with data architects, analysts, and business stakeholders to deliver data solutions
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Implement Git-based workflows, code review processes, and branching strategies
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Build and maintain CI/CD pipelines using Cloud Build, GitHub Actions, or GitLab CI
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Ensure platform security, governance, performance optimization, and cost efficiency
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Establish data quality, data lineage, and monitoring standards across platforms
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Support clinical and healthcare data integration initiatives involving multiple source systems
Expertise You'll Bring:
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6+ years of experience in cloud-based data engineering environments, preferably GCP
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Strong hands-on expertise with Google Cloud Platform (GCP) and BigQuery
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Extensive experience with dbt Core and dbt Cloud, including models, tests, macros, documentation, and CI/CD
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Hands-on experience with Matillion ETL for data ingestion and orchestration
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Advanced SQL skills for data transformation, optimization, and analytics
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Strong Python programming experience for automation, validation, and data processing
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Experience integrating dbt, Matillion, and Cloud Composer (Airflow)
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Deep understanding of ELT/ETL architecture and data warehouse design principles
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Experience with Git-based development workflows and version control best practices
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Hands-on experience with Cloud Build, GitHub Actions, or GitLab CI
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Knowledge of data governance, security, performance tuning, and cost optimization
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Experience designing scalable, reliable, and secure data platforms
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Strong understanding of healthcare and clinical data domains
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Knowledge of CDISC SDTM, ADaM, OMOP, and HL7/FHIR standards
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Experience working with EHR/EMR, EDC/CTMS, claims, laboratory, and clinical datasets
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Strong analytical, problem-solving, and stakeholder management skills
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Excellent communication and collaboration abilities in cross-functional teams
Benefits:
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Competitive salary and benefits package
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Culture focused on talent development with quarterly growth opportunities and company-sponsored higher education and certifications
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Opportunity to work with cutting-edge technologies
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Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards
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Annual health check-ups
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Insurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents
Values-Driven, People-Centric & Inclusive Work Environment:
Persistent is dedicated to fostering diversity and inclusion in the workplace. We invite applications from all qualified individuals, including those with disabilities, and regardless of gender or gender preference. We welcome diverse candidates from all backgrounds.
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We support hybrid work and flexible hours to fit diverse lifestyles.
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Our office is accessibility-friendly, with ergonomic setups and assistive technologies to support employees with physical disabilities.
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If you are a person with disabilities and have specific requirements, please inform us during the application process or at any time during your employment
Let?s unleash your full potential at Persistent - persistent.com/careers
?Persistent is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind.?
