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Teradata Jobs in Virginia (NOW HIRING)

Comcast Corp

Principal Data Modeler Architect

Reston, VA · On-site

$167K - $251K/yr

Skills Big Data Hadoop, Cloud Platform, Collaboration, Data Lake, Data Warehousing (DW), Technical Knowledge, Teradata SQL Compensation Virginia Pay Range: $167,383.91 - $251,075.87 Comcast intends ...

New

Comcast

Principal Data Modeler Architect

Reston, VA · On-site +1

$167K - $251K/yr

Teradata SQL; Cloud Platform; Big Data Hadoop; Data Warehousing (DW); Collaboration; Technical Knowledge Salary: Virginia Pay Range: $167,383.91 - $251,075.87 Comcast intends to offer the selected ...

New

Comcast

Principal Data Modeler Architect

Reston, VA · On-site +1

$167K - $251K/yr

Skills Big Data Hadoop, Cloud Platform, Collaboration, Data Lake, Data Warehousing (DW), Technical Knowledge, Teradata SQL Compensation Virginia Pay Range: $167,383.91 - $251,075.87 Comcast intends ...

New

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How much do teradata jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for teradata in Virginia is $53.23, according to ZipRecruiter salary data. Most workers in this role earn between $48.37 and $57.21 per hour, depending on experience, location, and employer.

What exactly does Teradata do?

A Teradata professional typically works with data warehousing and analytics, managing large-scale databases and developing solutions for data storage, retrieval, and analysis. They often use tools like SQL and may require knowledge of database management systems and data modeling to support business intelligence efforts.

What is a Teradata?

A Teradata job typically involves working with Teradata databases, which are used for large-scale data warehousing and analytics. Professionals in this role may be responsible for database design, performance tuning, ETL processes, and writing complex SQL queries. Common job titles include Teradata Developer, Teradata DBA, and Teradata Consultant. These roles require expertise in Teradata architecture, SQL, and tools like BTEQ, FastLoad, and MultiLoad.

Is Teradata a good place to work?

Teradata offers roles such as data analysts and database administrators, often requiring knowledge of SQL and data warehousing tools. The company is known for a collaborative environment and competitive benefits, making it a reputable employer in the data management industry.

What are some typical challenges faced in a Teradata role, and how can I prepare for them?

Professionals in Teradata roles often encounter complex data integration and performance optimization challenges, particularly when working with large-scale, mission-critical enterprise systems. You may need to troubleshoot issues related to query performance, data consistency, and ensure seamless data flow between multiple business units. Staying current with the latest Teradata releases, understanding best practices in database optimization, and continual learning through hands-on experience can help overcome these obstacles. Being proactive in collaborating with data architects, BI developers, and business analysts will also facilitate more effective and efficient solutions.

What are the key skills and qualifications needed to thrive in a Teradata role?

To thrive in a Teradata role, you need expertise in database management, data warehousing concepts, and strong proficiency in SQL and Teradata utilities, typically supported by a degree in computer science or a related field. Experience with ETL tools, performance tuning, and relevant certifications like Teradata Certified Professional or similar are highly valued. Strong analytical thinking, effective communication, and the ability to work collaboratively help you stand out in team-oriented environments. These skills ensure the efficient design, maintenance, and troubleshooting of Teradata databases that power critical business decisions.

What are the most commonly searched types of Teradata jobs in Virginia?

The most popular types of Teradata jobs in Virginia are:

What are popular job titles related to Teradata jobs in Virginia?

For Teradata jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Teradata jobs in Virginia look for?

The top searched job categories for Teradata jobs in Virginia are:

Teradata jobs near you
Infographic showing various Teradata job openings in Virginia as of August 2026, with employment types broken down into 76% Full Time, 3% Part Time, and 21% Contract. Highlights an 78% Physical, 8% Hybrid, and 14% Remote job distribution, with an average salary of $110,713 per year, or $53.2 per hour.

Data Engineer, Finance Data & BI

McKesson Corporation

Richmond, VA • On-site

$130K - $140K/yr

Full-time

Re-posted 11 days ago

McKesson rating

7.9

Company rating: 7.9 out of 10

Based on 209 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.
McKesson Medical-Surgical (MMS) is seeking a highly skilled and motivated Data Engineer to join the Finance Solutions team. This is a critical individual contributor role within our Finance Data & BI organization.
The Data Engineer will design, build, and optimize scalable data pipelines and architectures that transform raw financial data into high-quality, analytics-ready, and AI-enabled datasets. These datasets support strategic reporting, planning, forecasting, automation, and advanced analytics across the organization.
Reporting to the Director, Finance Data & BI, this Data Engineer will serve as an agile technical partner to Data Product, Architecture, Business Intelligence, Data Science, Finance Analysts, and business stakeholders. This role plays a key part in building the future-state Finance data platforms at MMS, supporting enterprise analytics, AI/ML use cases, and sound financial governance.
Hybrid Expectations
  • 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.

Compensation
  • Base: $130,000 to $140,000
  • 10% Annual Incentive

Key Responsibilities
Data Engineering & Architecture
  • Solve complex problems across the full data stack, from advanced data wrangling (SQL, Python, Spark, or similar) to delivering stakeholder-ready, production-scale 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 performance-optimized 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 non-technical stakeholders, balancing innovation with operational risk and controls
  • Enable trusted data environments required for forecasting models, scenario planning, and AI-driven insights
  • Contribute to the strategic evolution of the Finance data platform by evaluating and piloting emerging tools and technologies

Minimum Requirements
  • 4+ years of relevant experience

Preferred Critical Requirements
  • 4+ years of technical and professional experience as a Data Engineer
  • 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#
  • Demonstrated experience with Google Cloud Platform (GCP) preferred over other platforms (e.g., Snowflake, Databricks, Microsoft, Teradata)
  • 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 SOX-compliant data solutions in a regulated enterprise
  • Experience with Oracle JD Edwards or familiarity with financial application data integrations and data flows

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
$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.
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