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Data Engineer Gcp Data Engineer Jobs in Kansas (NOW HIRING)

Senior Data Engineer | Emerging Products

Kansas, KS ยท On-site +1

$93K - $127K/yr

We hire the best data engineers, but experience in our stack can't hurt: our data platform is built on Kafka, Spark, Airflow, Iceberg, and Databricks; supporting large-scale distributed workloads ...

Data Architect

Lenexa, KS ยท On-site

$59.75 - $77/hr

Partner with the SQL Server DBA/Data Engineer on HA/DR, retention, and archival design - including D365 and legacy data archival - and set on-prem design, indexing, and partitioning standards

Work very closely with the First Team Data Engineer to ensure advanced modelling is supported by reliable data and production-ready workflows. * Collaborate closely with the First Team Data Analyst ...

Work very closely with the First Team Data Engineer to ensure advanced modelling is supported by reliable data and production-ready workflows. * Collaborate closely with the First Team Data Analyst ...

The Data Programmer role involves working with large datasets to analyze, plan, and execute complex processing workflows, focusing on creating end-to-end solutions for data transformations and large ...

WHAT YOU'LL DO The Director Data Engineering is responsible for leading and managing technical resources and teams to design, build, and maintain scalable data infrastructure, pipelines, and quality ...

Showing results 41-60

Data Engineer Gcp Data Engineer information

What is a GCP data engineer?

A GCP Data Engineer is a data engineering professional who specializes in designing, building, and managing data processing systems on Google Cloud Platform (GCP). They work with cloud-based tools and services to collect, transform, and analyze large volumes of data, enabling organizations to gain insights and make data-driven decisions. GCP Data Engineers are proficient in technologies such as BigQuery, Dataflow, Pub/Sub, and Cloud Storage. Their role often involves ensuring data pipelines are reliable, scalable, and secure while optimizing performance and cost.

What are the key skills and qualifications needed to thrive as a GCP data engineer?

To thrive as a GCP Data Engineer, you need strong expertise in data modeling, ETL processes, and cloud architecture, typically backed by a degree in computer science or related field. Proficiency with Google Cloud Platform services (like BigQuery, Dataflow, and Pub/Sub), SQL, and tools such as Python or Java is essential, and certifications like Google Professional Data Engineer are highly valued. Strong problem-solving, communication, and teamwork skills help you collaborate effectively and translate business needs into technical solutions. These abilities ensure efficient, scalable data pipelines and reliable infrastructure, which are critical for driving data-driven decision-making.

What are some common challenges faced by data engineers working with GCP, and how can they be addressed?

Data Engineers working with Google Cloud Platform (GCP) often encounter challenges such as optimizing data pipeline performance, managing costs, and ensuring data security and compliance. Effective use of GCP's native monitoring and logging tools can help identify bottlenecks in ETL processes, while leveraging features like autoscaling in Dataflow or BigQuery partitioning improves efficiency. Regular collaboration with DevOps and security teams is crucial to maintain robust cloud architecture and compliance with data regulations. Staying updated with GCP releases and best practices will also help proactively address evolving challenges.

What is the difference between Data Engineer Gcp Data Engineer vs Data Engineer?

AspectData Engineer Gcp Data EngineerData Engineer
CertificationsGCP certifications (e.g., Professional Data Engineer)Varies; often includes cloud or database certifications
Work EnvironmentPrimarily cloud-based, focusing on Google Cloud Platform toolsCan be cloud, on-premises, or hybrid environments
Industry UsageCommon in organizations leveraging Google Cloud servicesWidespread across industries using various cloud providers
Skills FocusGCP tools, BigQuery, Dataflow, Pub/SubSQL, ETL, data modeling, general cloud skills

In summary, Data Engineer Gcp Data Engineer specializes in Google Cloud Platform tools and certifications, focusing on cloud-native data solutions. Data Engineer is a broader role that may work across multiple platforms and environments, with a wider range of tools and technologies.

What are popular job titles related to Data Engineer Gcp Data Engineer jobs in Kansas?

For Data Engineer Gcp Data Engineer jobs in Kansas, the most frequently searched job titles are:

What job categories do people searching Data Engineer Gcp Data Engineer jobs in Kansas look for?

The top searched job categories for Data Engineer Gcp Data Engineer jobs in Kansas are:

What cities in Kansas are hiring for Data Engineer Gcp Data Engineer jobs?

Cities in Kansas with the most Data Engineer Gcp Data Engineer job openings:

Infographic showing various Data Engineer Gcp Data Engineer job openings in Kansas as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 11% Part Time, and 5% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Sr. Associate Data Engineer (PySpark, Python & ETL)

Rx Savings Solutions

Overland Park, KS โ€ข On-site

$113K - $135K/yr

Full-time

Re-posted 8 days ago


Job description

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care.
What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you.
Rx Savings Solutions, part of McKesson's CoverMyMeds organization, offers an innovative, patented software system that educates and empowers consumers to make the best healthcare choices at the lowest cost. Founded and operated by a team of pharmacists and software engineers, we support a collaborative, cost-saving solution for purchasing prescription drugs.
We currently have an opportunity for a Sr Associate Data Engineer to join our growing Business Operations data engineering team! This is a junior-level position on our team (ideally looking for 2-4 years of Data Engineering / ETL experience). This assists in planning, designing, troubleshooting, and documenting technical requirements for data flows between disparate operational systems and our data warehouse. Our ideal candidate has hands-on experience building and supporting data pipelines using PySpark, SQL, and Python in a cloud-based data environment. Experience developing ETL processes, troubleshooting production data pipelines, and working with cloud technologies such as AWS, Databricks, Azure, or similar platforms is highly preferred. We are looking for engineers who can clearly articulate their contributions to designing, building, supporting, and optimizing data solutions in production environments.
McKesson complies with all applicable U.S. immigration laws and regulations. The Company does not provide employer support or sponsorship for any immigration related employment benefit for this role.
Applicants must be currently authorized to work in the United States on a fulltime basis without the need for employer support or sponsorship now or in the future. This includes having the legal right to work in the United States without the need for McKesson support or sponsorship for any immigration related employment authorization (e.g., H1B, O1, E3, H1B1, TN, F1 OPT, F1 STEM OPT, F1 CPT, etc.) now or in the future.
Responsibilities:
  • Build, maintain, and optimize scalable ETL pipelines using PySpark, SQL, and Python
  • Troubleshoot and resolve production data pipeline issues, performing root cause analysis and implementing long-term solutions
  • Monitor and support data workflows to ensure reliability, performance, and data quality
  • Develop and maintain reusable data ingestion and transformation frameworks
  • Explore and implement the latest AWS technologies to enhance data capabilities and operational efficiency
  • Collaborate across teams to understand business needs and propose innovative data solutions
  • Participate in code reviews and contribute to continuous improvement of data engineering practices
  • Ensure data quality, integrity, and security across all stages of the pipeline
  • Document data flows, technical specifications, and operational procedures
  • Support deployment and integration of data solutions into production environments

Requirements:
  • Bachelor's degree in Computer Science or related technical degree, or equivalent experience, and 2+ years of experience relative to the above responsibilities
  • 2+ years of experience building and supporting data pipelines using PySpark in a cloud-based data platform environment
  • 2+ years of hands-on experience developing data transformation logic using PySpark and SQL
  • 2+ years of experience Databricks or similar cloud-based data platforms
  • 2+ years of hands-on Python development experience supporting ETL processes, automation, data transformation, or data quality initiatives
  • Experience troubleshooting, supporting, and resolving issues within production ETL and data pipeline environments
  • Knowledge of Structured and Unstructured data
  • Possess understanding of BI concepts and be familiar with relational or multi-dimensional modeling concepts
  • Understanding of RDBMS best practices and performance tuning techniques
  • Experience with cloud technologies such as AWS services such as S3, CloudWatch, EC2, and passion for a role working in a cloud data warehouse.
  • Experience with version control systems like Git

It would be nice if you had...
  • Experience with Databricks
  • Experience with AWS cloud services such as S3, CloudWatch, EC2, Glue, or Lambda
  • Experience with ETL platforms such as Talend, Informatica, SSIS, or DataStage
  • Experience with Agile and Scrum methodologies
  • Knowledge of Java or JavaScript

We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here.
Our Base Pay Range for this position
$80,300 - $133,900
McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind:
McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application.
McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates.
McKesson job postings are posted on our career site: careers.mckesson.com.
McKesson is an Equal Opportunity Employer
McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page.
McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) Disability_Accommodation@McKesson.com or (Canada) Accessibility@mckesson.ca. Resumes or CVs submitted to this email box will not be accepted.
Join us at McKesson!