GCP Data Engineer
Remote, US
$75-85k plus bonus plus benefits
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.
Cloud Data Engineer – Job description
The Cloud Data Engineer is a hands-on role responsible for performance, availability and scalability of the public cloud environment. You will collaborate with other Architects and Engineers to enable enterprise applications to meet the organizations business goals.
ResponsibilitiesRole and Responsibilities:
Work closely with application development and data engineers on day-to-day tasks.
Participate in project planning and implementation.
Coordinate with Data Scientists, Product Managers and business leaders to understand data needs and deliver on those needs.
Create and maintain optimal data pipeline architecture.
Assemble large, complex data sets that meet functional / non-functional business requirements.
Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and other data sources.
Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
Improve, optimize and identify opportunities for efficient software development processes.
Help achieve milestones as per sprint plan and prioritize to manage ad-hoc requests in parallel with ongoing sprints.
Required Qualifications:
- 5+ years of hands-on experience in building Data pipeline (ETL/ELT) in a cloud platform
- GCP knowledge strongly preferred - other cloud experience such as AWS. AZURE is ok
- 5+ years of hands-on experience of building and operationalizing data processing systems
- Strong Python scripting experience is very important requirement
- 2+ years’ experience in NoSQL databases and close familiarity with technologies/languages such as Python/R, Scala, Java, Hive, Spark, Kafka
- 2+ years’ experience working with data platforms (Data warehouse, Data Lake, ODS)
- 2+ years’ experience working with tools to automate CI/CD pipelines (e.g., Jenkins, GIT, Control-M)
- Must have working experience with the clinical data
- GCP (google cloud platform) experience
- 3+ years of experience working on healthcare / clinical data
Preferred Qualifications:
- Data analysis / Data mapping skills
- Python
- Cloud Data flow/Data proc/Function
- Whistle map SDK
- Google Health care API/ FHIR store
What we offer:
- EXL Analytics offers an exciting, fast paced and innovative environment, which brings together a group of sharp and entrepreneurial professionals who are eager to influence business decisions. From your very first day, you get an opportunity to work closely with highly experienced, world class analytics consultants.
- You can expect to learn many aspects of businesses that our clients engage in. You will also learn effective teamwork and time-management skills - key aspects for personal and professional growth
- Analytics requires different skill sets at different levels within the organization. At EXL Analytics, we invest heavily in training you in all aspects of analytics as well as in leading analytical tools and techniques.
- We provide guidance/ coaching to every employee through our mentoring program wherein every junior level employee is assigned a senior level professional as advisors.
- Sky is the limit for our team members. The unique experiences gathered at EXL Analytics sets the stage for further growth and development in our company and beyond.
Skills Required
- 5+ years of hands-on experience building ETL/ELT data pipelines in a cloud platform
- GCP experience; AWS or Azure cloud experience may also be considered
- 5+ years of hands-on experience building and operationalizing data processing systems
- Strong Python scripting experience
- 2+ years of experience with NoSQL databases
- Familiarity with Python, R, Scala, Java, Hive, Spark, and Kafka
- 2+ years of experience working with data warehouses, data lakes, or ODS platforms
- 2+ years of experience automating CI/CD pipelines using tools such as Jenkins, Git, or Control-M
- Working experience with clinical data
- GCP Google Cloud Platform experience
- 3+ years of experience working with healthcare or clinical data
- Data analysis and data mapping skills
- Experience with Cloud Dataflow, Dataproc, or Cloud Functions
- Experience with Whistle Map SDK
- Experience with Google Healthcare API or FHIR Store
EXL Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about EXL and has not been reviewed or approved by EXL.
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Healthcare Strength — Medical plan options include HSA, HRA, and PPO choices, with additional health-related programs such as disability coverage and an employee assistance program. Feedback suggests these options provide meaningful flexibility and coverage breadth for many roles.
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Leave & Time Off Breadth — Up to 20 days of paid time off, plus federal holidays and paid sick and safe time, are highlighted. Feedback suggests this leave structure is a notable benefit alongside core compensation.
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Retirement Support — A traditional and Roth 401(k) with up to a 3% company match and full vesting after one year is described. Feedback suggests this match and vesting timeline help bolster long-term savings.
EXL Insights
What We Do
Choosing a digital partner is about more than capabilities — it’s about collaboration and character. Unrealistic overhauls and off-the-shelf products ignore what matters most — your unique needs, culture, goals, and your legacy data and technology environments. At EXL, our collaboration is built on ongoing listening and learning to adapt our methodologies. We’re your business evolution partner—tailoring solutions that make the most of data to make better business decisions and drive more intelligence into your increasingly digital operations. Whether your goals are scaling the use of AI and digital, redesign operating models, or driving better and faster decisions, we’re here to partner with you to help you gain—and maintain—competitive advantage with efficient, sustainable models at scale. Our expertise in transformation, data science, and change management helps make your business more efficient and effective, improve customer relationships and enhance revenue growth. Instead of focusing on multi-year, resource- and time-intensive platform designs or migrations, we look deeper at your entire value chain to integrate strategies with impact. We use our specialization in analytics, digital interventions, and operations management—alongside deep industry expertise — to deliver solutions that help you outperform the competition. At EXL, it’s all about outcomes—your outcomes—and delivering success on your terms. Share your goals with us and together, we’ll optimize how you leverage data to drive your business forward. For more information, visit www.exlservice.com.
