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Intern Data Solutions Engineer Jobs in Chester, VA

Solutions Architect

Richmond, VA · On-site

$178K - $235K/yr

Data Engineering & Analytics: Develop and maintain robust data pipelines using Databricks (PySpark ... Build custom dashboards and high-performance reporting solutions in Tableau , ensuring seamless ...

Data Engineering Lead- Finance

Richmond, VA · On-site

$113K - $136K/yr

We are looking for a talented Data Engineer to join our team and contribute to developing robust data solutions that support our business goals. This role is ideal for someone who enjoys combining ...

PCA Data Engineer

Richmond, VA · On-site

$113K - $136K/yr

We are looking for a talented Data Engineer to join our team and contribute to developing robust data solutions that support our business goals. In this role, you will be aligned with a specific ...

Senior Data Engineer

Richmond, VA · On-site

$104K - $142K/yr

Design and implement data solutions on AWS, Azure, or GCP. * Build high-volume data processing ... Establish engineering best practices around code quality, testing, deployment, monitoring, and data ...

New

Senior Data Engineer

Richmond, VA · On-site

$104K - $142K/yr

Design and implement data solutions on AWS, Azure, or GCP. * Build high-volume data processing ... Establish engineering best practices around code quality, testing, deployment, monitoring, and data ...

New

Senior Data Engineer

Richmond, VA · On-site

$104K - $142K/yr

Design and implement data solutions on AWS, Azure, or GCP. * Build high-volume data processing ... Establish engineering best practices around code quality, testing, deployment, monitoring, and data ...

New

Data Engineer II

Richmond, VA

$113K - $136K/yr

Deloitte is seeking a Data Engineer II to support the design, development, and delivery of data solutions that enable analytics, reporting, and business decision-making. This role will focus on ...

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Showing results 1-20

Intern Data Solutions Engineer information

See Chester, VA salary details

$8

$15

$22

How much do intern data solutions engineer jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for intern data solutions engineer in Chester, VA is $15.68, according to ZipRecruiter salary data. Most workers in this role earn between $13.27 and $17.69 per hour, depending on experience, location, and employer.

What is the difference between Intern Data Solutions Engineer vs Data Analyst?

AspectIntern Data Solutions EngineerData Analyst
Required CredentialsEnrolled in or recent graduate of Computer Science, Data Science, or related fieldsDegree in Statistics, Mathematics, or related fields
Work EnvironmentSupport data engineering teams, assist with data pipeline developmentAnalyze data sets, generate reports, and provide insights
Employer & Industry UsageTech companies, startups, and data-driven organizationsBusiness, finance, marketing, and healthcare sectors

While both roles involve working with data, an Intern Data Solutions Engineer focuses on supporting data infrastructure and pipelines, often requiring technical skills in data engineering. A Data Analyst primarily interprets data to generate insights and reports, emphasizing analytical skills. The internship provides hands-on experience in data engineering tasks, whereas a Data Analyst role centers on data interpretation and visualization.

What cities near Chester, VA are hiring for Intern Data Solutions Engineer jobs?

Cities near Chester, VA with the most Intern Data Solutions Engineer job openings:

Data Engineer, Finance Solutions, Google Cloud Platform

McKesson

Richmond, VA • On-site, Remote

$130K - $140K/yr

Full-time

Re-posted 18 days ago


McKesson rating

7.9

Company rating: 7.9 out of 10

Based on 210 frontline employees who took The Breakroom Quiz

47th of 86 rated pharmaceutical


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.

Data Engineer, Finance Solutions - Google Cloud Platform (GCP)

Are you a Data Engineer with hands-on experience building modern data solutions in Google Cloud Platform (GCP)? Do you want to play a leading role in a high-visibility enterprise cloud transformation while helping shape the future of Finance Data at McKesson?

McKesson Medical-Surgical (MMS) is seeking a highly skilled and motivated Data Engineer to join our Finance Solutions team. This is a critical individual contributor opportunity within our Finance Data & BI organization, where you will help lead the ongoing migration and modernization of our Finance data platforms to Google Cloud Platform (GCP).

This role is ideal for data engineers who enjoy building scalable Finance data solutions within cloud environments and solving complex business challenges through modern data engineering practices. This position is embedded within the Finance Data & BI organization and focuses on transforming financial data into trusted, analytics-ready assets that support reporting, forecasting, planning, automation, AI/ML initiatives, and strategic business decision-making.

Reporting to the Director, Finance Data & BI, you will partner closely with Finance, Business Intelligence, Data Product, Architecture, and Data Science teams to design, build, and optimize modern cloud-based Finance data solutions. Your work will directly influence the future-state Finance data ecosystem and play a significant role in McKesson's strategic investment in Google Cloud Platform.

Important: We are specifically seeking Data Engineers with experience designing, building, and supporting cloud-based data solutions, preferably within Google Cloud Platform (GCP) environments.

Compensation & Hybrid Expectations
  • Base: $130,000 to $140,000

  • 10% Annual Incentive

  • This position is based in Richmond, VA with 3 to 5 days in the office each month.

  • Preferred candidates must currently reside within a reasonable commuting distance (defined as within 60 miles of Richmond).

  • Relocation assistance is not available for this role.

Minimum Requirements
  • 4+ years of relevant experience

Targeted Experience & Critical Skills
  • 4+ years of technical and professional experience as a Data Engineer.

  • Demonstrated hands-on experience delivering production-scale data engineering solutions within Google Cloud Platform (GCP). While we are open to candidates with as little as 2+ years of GCP experience, this capability is considered highly critical to success in the role. The selected candidate will play a significant role in accelerating the migration and modernization of Finance data platforms to GCP. Candidates with proven GCP experience will be strongly preferred.

  • 4+ years of hands-on experience with data warehouse solutions, cloud platforms, relational databases, and data visualization or dashboarding tools.

  • 4+ years of experience working with structured and unstructured data in batch and real-time data processing environments.

  • Strong proficiency in object-oriented programming languages such as Python, Java, or C#.

  • Proven experience in an enterprise environment with:

    • Building and optimizing cloud-based data solutions

    • Supporting business-critical systems

    • Designing or supporting production-scale AI/ML data pipelines

    • Applying data governance by design

    • Data warehousing and ETL best practices

    • CI/CD and version control using GitHub

Additional Skills: (Nice to Have)
  • Experience with PySpark

  • Experience with Matillion or other modern ETL tools

  • Working knowledge of core financial data concepts (general ledger, chart of accounts, financial reporting)

  • Experience deploying SOXcompliant data solutions in a regulated enterprise

  • Experience with Oracle JD Edwards or familiarity with financial application data integrations and data flows

Key Responsibilities

Data Engineering & Architecture

  • Solve complex problems across the full data stack, from advanced data wrangling (SQL, Python, Spark, or similar) to delivering stakeholderready, productionscale data solutions

  • Design new architectures and reengineer existing ones, including optimized data structures, relational databases, and database code

  • Develop, construct, test, and maintain robust, scalable, and efficient ETL/ELT pipelines using modern cloud technologies that support advanced analytics and AI/ML workloads

  • Develop and maintain database code, including stored procedures, functions, and performanceoptimized transformations

  • Create and maintain ETL processes and contribute to CI/CD deployment workflows using GitHub Actions or similar tools

Optimization, Data Quality & Governance

  • Implement and optimize data models (e.g., dimensional modeling) within the Finance data environment

  • Optimize data architecture for performance, scalability, and cost efficiency across large financial datasets

  • Design and implement automated data quality checks, anomaly detection, and validation processes to ensure accuracy and trust in downstream analytics and AI use cases

  • Ensure all data solutions meet financial governance and compliance standards, including SOX requirements

Collaboration & Communication
  • Partner closely with Finance teams (Accounting, FP&A), BI, and Data Product partners to translate complex business requirements into scalable technical solutions

  • Communicate technical concepts clearly to nontechnical stakeholders, balancing innovation with operational risk and controls

  • Enable trusted data environments required for forecasting models, scenario planning, and AIdriven insights

  • Contribute to the strategic evolution of the Finance data platform by evaluating and piloting emerging tools and technologies

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, pleaseclick here.

Our Base Pay Range for this position

$106,500 - $177,500

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!


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