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dataroles

GCP Data Engineer

Fa Ewjt Saasfaprod1 Open
Hybrid Jersey City Full-time Mid-level Data Engineering

At a glance

Mid-level Data Engineering role at Fa Ewjt Saasfaprod1. Jersey City · full-time · no salary stated · we estimate $112,500–$160,000 across the United States.

Estimated pay

Fa Ewjt Saasfaprod1 has not published a salary for this role. The figure below is our estimate, not theirs.

$112,500 – $160,000
What the middle half of mid-level data engineering roles in the United States paid, among postings that did state a salary.
Worked out from 439 postings that stated pay, median $135,000. Last updated Nov 6, 2026.
RoleData Engineering
SeniorityMid-level
LocationJersey City
WorkplaceHybrid
EmploymentFull-time
PostedAug 28, 2026
Role brief

dataroles summary, based on the employer's posting.

What you'll do

  • Build and maintain data pipelines that combine complex datasets and meet business requirements
  • Create cloud infrastructure for moving data through extraction, transformation and loading across varied sources
  • Develop pipeline-based analytics tools for customer acquisition, operational efficiency and other business metrics
  • Coordinate with application and data engineers, scientists, product managers and business leaders on data needs
  • Automate manual work, improve data delivery and scale infrastructure while supporting sprint milestones and urgent requests

What you bring

  • At least five years building cloud-based ETL or ELT pipelines and putting data processing systems into operation
  • Strong Python scripting skills and hands-on work with clinical data
  • At least three years working with healthcare or clinical data
  • Two or more years with data platforms, NoSQL databases and CI/CD automation tools

Who this fits

This hands-on role suits a data engineer who can work across clinical data pipelines, Python and cloud platforms. You’ll coordinate with technical teams and business stakeholders while balancing planned sprint work with ad hoc requests. The listing describes the role as remote in the US.

From the employer

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.

Role 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.

Opportunity

Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Data Engineering

Find me work

By the team behind dataroles.

Find me work
Opportunity

Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind dataroles.