1

Data Engineer Iv Jobs (NOW HIRING)

Big Data Engineer

Mooresville, NC · On-site

$52.75 - $69.75/hr

Mooresville, NC Data engineers 4+ years Hadoop developer 2+ years of Spark, Scala/Python Hive Migrating to Cloud C2H is possible To an extent avoid candidates needing sponsorship 70% coding 20 ...

Engineer IV will provide on-site support for field inspections, condition assessments and run ... Conduct studies and generate observations and data as required by project plan * Develop draft ...

Engineer IV will provide on-site support for field inspections, condition assessments and run ... Conduct studies and generate observations and data as required by project plan * Develop draft ...

Engineer IV will provide on-site support for field inspections, condition assessments and run ... Conduct studies and generate observations and data as required by project plan * Develop draft ...

... resultant data, document results in test reports, statistical evaluations and briefing ... In addition, an Engineer IV must possess the following qualifications: Comprehensive knowledge of ...

Determine test objectives, instrumentation, and data requirements * Write test planning documents ... In addition, an Engineer IV must possess the following qualifications: * Comprehensive knowledge of ...

... Engineer * 4+ years of handson experience with data warehouse solutions, cloud platforms ... relational databases, and data visualization or dashboarding tools * 4+ years of experience working ...

... Engineer * 4+ years of handson experience with data warehouse solutions, cloud platforms ... relational databases, and data visualization or dashboarding tools * 4+ years of experience working ...

Data Visualization Engineer 4

Beaverton, OR · On-site

$119K - $143K/yr

Job Title- Data Visualization Engineer 4 Reporting Type- Beaverton, OR 97005 Work Timing- Monday to Friday, 9am to 5pm Duration: 06 months Job Type: Hybrid (4 Days onsite/week) *W2 candidates only ...

Software Engineer IV

Birmingham, AL · On-site

$114K - $151K/yr

Senior Software Engineer IV - AI / Azure Databricks {GC & US Citizen only} Location: 3535 Colonnade ... Collaborate with data engineering and analytics teams to integrate AI models into production ...

Data Engineer

Pittsburgh, PA · On-site +1

$111K - $133K/yr

Data Engineer will leverage their business and technical knowledge to develop production-ready data ... SQL (4+ years) * Data Modeling * Data Vault Modeling * Healthcare experience a plus Work ...

Data Engineer

Pittsburgh, PA · Remote

$117K - $140K/yr

Data Engineer will leverage their business and technical knowledge to develop production-ready data ... SQL (4+ years) * Data Modeling * Data Vault Modeling * Healthcare experience a plus Work ...

Engineer IV

Poway, CA · On-site

$98K - $171K/yr

Troubleshoot flight control anomalies experienced in fielded systems via flight data analysis and ... engineering experience as follows; six or more years of experience with a bachelors degree, four or ...

Data Engineer

Pittsburgh, PA · On-site +1

$111K - $133K/yr

Data Engineer will leverage their business and technical knowledge to develop production-ready data ... SQL (4+ years) * Data Modeling * Data Vault Modeling * Healthcare experience a plus Work ...

Engineer IV

Poway, CA · On-site

$98K - $171K/yr

Anticipate operational risks and future capacity or capability needs; develop robust, data-driven ... engineering experience as follows; six or more years of experience with a bachelors degree, four or ...

Sr. Big Data Engineer

Durham, NC · On-site

$50.50 - $66.75/hr

Software Engineer IV - Big Data Engineer Location: Durham, NC (Day 1 onsite) Duration: Long Term Responsibilities: * Ability to assemble large, complex sets of data that meet non-functional and ...

Engineer IV

Grants, NM · On-site

$89K - $155K/yr

Plans and performs data collection, management, and analysis using current technologies, including ... engineering experience as follows; six or more years of experience with a bachelors degree, four or ...

next page

Showing results 1-20

Data Engineer Iv information

See salary details

$44.5K

$129.7K

$177.5K

How much do data engineer iv jobs pay per year?

As of Jul 7, 2026, the average yearly pay for data engineer iv in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

What are Data Engineer IVs?

A Data Engineer IV is a senior-level data engineering professional responsible for designing, building, and maintaining large-scale data processing systems and infrastructure. They often lead teams, develop best practices, and ensure the reliability, scalability, and security of data pipelines. Data Engineer IVs work closely with data scientists, analysts, and other stakeholders to deliver high-quality, accessible data for analytics and business intelligence. Their role typically requires extensive experience with big data technologies, cloud platforms, and advanced programming skills.

How does a Data Engineer IV typically collaborate with data scientists and analysts within an organization?

A Data Engineer IV often acts as a bridge between raw data infrastructure and the analytical teams by designing, building, and optimizing robust data pipelines. They work closely with data scientists and analysts to understand data requirements, ensure high data quality, and enable efficient access to relevant datasets. Regular collaboration involves translating business needs into scalable data architecture, troubleshooting data flow issues, and mentoring junior engineers on best practices. This cross-functional teamwork is essential for delivering actionable insights and supporting data-driven decision-making throughout the company.

What is the difference between Data Engineer Iv vs Data Engineer V?

AspectData Engineer IvData Engineer V
Required CredentialsBachelor's degree in Computer Science or related field; 3-5 years experienceBachelor's or Master's degree; 5+ years experience, advanced certifications
Work EnvironmentCollaborative teams, cloud platforms, data pipelinesLeadership roles, complex data architecture, mentoring
Employer & Industry UsageTech companies, finance, healthcareLarge enterprises, cloud service providers
Search & Comparison IntentUnderstanding mid-level data engineering rolesExploring senior data engineering positions

The main difference between Data Engineer Iv and Data Engineer V lies in experience, responsibilities, and expertise. Data Engineer V typically has more years of experience, handles more complex data architecture, and may lead projects or teams, whereas Data Engineer Iv is more focused on executing data pipelines and supporting data infrastructure within a team.

What are the key skills and qualifications needed to thrive as a Data Engineer IV, and why are they important?

To excel as a Data Engineer IV, you need deep expertise in data architecture, ETL processes, SQL, and programming languages like Python or Scala, usually backed by a bachelor’s or master’s degree in computer science or a related field. Mastery of data warehousing solutions (such as AWS Redshift, Google BigQuery, or Snowflake), big data tools (like Spark or Hadoop), and relevant certifications (e.g., AWS Certified Data Analytics) is typically required. Strong problem-solving, communication, and project leadership skills distinguish top performers in this role. These abilities are crucial for building scalable data systems, ensuring data integrity, and driving data-driven decision-making across the organization.
More about Data Engineer Iv jobs
Data Engineer, Finance Data & BI

Data Engineer, Finance Data & BI

McKesson Corporation

Richmond, VA • On-site

$130K - $140K/yr

Full-time

Posted 4 days ago


McKesson rating

7.9

Company rating: 7.9 out of 10

Based on 208 frontline employees who took The Breakroom Quiz

41st of 73 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.
Join us at McKesson!

What McKesson employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom