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Sql Python Data Engineer Jobs in Virginia Beach, VA

Data Engineer

Chesapeake, VA ยท On-site

$85K - $105K/yr

Description We are seeking a Data Engineer to help us build and scale the data infrastructure that ... Perform ongoing maintenance, tuning, optimization, and administration of SQL and Microsoft Fabric ...

Data Engineer

Chesapeake, VA ยท On-site

$125 - $150/hr

Description We are seeking a Data Engineer to help us build and scale the data infrastructure that ... Perform ongoing maintenance, tuning, optimization, and administration of SQL and Microsoft Fabric ...

Data Engineer (T&E)

Norfolk, VA ยท On-site

$110K - $133K/yr

R, Python, SAS, SPSS, STATA, Tableau, and/or PowerBI for small to large data sets. * Proficient in ... Backend database technologies (SQL, NoSQL, HPC, etc.), * Possess a Certified Analytics Professional ...

Data Engineer (T&E)

Norfolk, VA ยท On-site

$110K - $133K/yr

R, Python, SAS, SPSS, STATA, Tableau, and/or PowerBI for small to large data sets. * Proficient in ... Backend database technologies (SQL, NoSQL, HPC, etc.), * Possess a Certified Analytics Professional ...

Sr. Data Engineer with Security Clearance

Hampton, VA ยท On-site

$91K - $126K/yr

We're looking for a Senior Data Engineer to design and implement AI features end to end - from data ... Build and optimize scalable, secure data pipelines and ETL/ELT workflows in Python and SQL across ...

Strong proficiency in SQL and at least one analytics-oriented programming language such as Python ... Strong data validation, data governance, and documentation practices. * Excellent communication and ...

Sr. Data Analyst

Virginia Beach, VA ยท On-site

$130K/yr

Strong proficiency in SQL and at least one analytics-oriented programming language such as Python ... Strong data validation, data governance, and documentation practices. * Excellent communication and ...

Sr. Data Analyst

Virginia Beach, VA ยท On-site

$130K - $160K/yr

Strong proficiency in SQL and at least one analytics-oriented programming language such as Python ... Strong data validation, data governance, and documentation practices. * Excellent communication and ...

Showing results 21-40

Sql Python Data Engineer information

See Virginia Beach, VA salary details

$42.2K

$123.1K

$168.5K

How much do sql python data engineer jobs pay per year?

As of Sep 9, 2026, the average yearly pay for sql python data engineer in Virginia Beach, VA is $123,104.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,700.00 and $130,500.00 per year, depending on experience, location, and employer.

What is a SQL Python data engineer?

SQL Python Data Engineers are professionals who design, build, and maintain systems for collecting, storing, and analyzing large volumes of data, primarily using SQL and Python. They create data pipelines, optimize queries, and ensure data is accessible and reliable for analytics and business needs. Their work often involves collaborating with data scientists, analysts, and IT teams to support data-driven decision-making within an organization.

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

To thrive as a SQL Python Data Engineer, you need expertise in database design, advanced SQL querying, and proficiency in Python programming, often backed by a degree in computer science or a related field. Familiarity with data warehousing tools, ETL frameworks, cloud platforms (like AWS or Azure), and certifications such as AWS Certified Data Analytics are commonly expected. Strong problem-solving abilities, attention to detail, and effective communication skills help you collaborate with teams and translate business needs into technical solutions. These skills ensure the efficient management, transformation, and delivery of reliable data for organizational decision-making.

How do SQL Python data engineers typically collaborate with data scientists and analysts within a project team?

SQL Python Data Engineers play a crucial role in enabling data scientists and analysts to access clean, reliable data. They are responsible for designing, building, and maintaining data pipelines that transform raw data into usable formats. Collaboration often involves working closely with data scientists to understand their data requirements and optimizing queries or scripts for performance. Regular communication and agile meetings are common, ensuring that data infrastructure supports evolving analytical needs. This partnership ensures that downstream users receive timely, accurate datasets for modeling, reporting, and decision-making.

What is the difference between Sql Python Data Engineer vs Data Analyst?

AspectSql Python Data EngineerData Analyst
Required SkillsSQL, Python, ETL, data modeling, cloud platformsSQL, Excel, data visualization, basic statistics
Work EnvironmentData pipelines, backend systems, cloud infrastructureReporting, dashboards, business insights
CertificationsData engineering certifications (e.g., Google Cloud, AWS)Data analysis or visualization certifications (e.g., Tableau, Excel)
Industry UsageTech, finance, healthcare, e-commerceMarketing, finance, retail, healthcare

The Sql Python Data Engineer focuses on building and maintaining data pipelines, working with large datasets, and ensuring data accessibility for organizations. In contrast, Data Analysts primarily interpret data, create reports, and provide insights to support business decisions. While both roles require SQL skills, data engineers emphasize programming and infrastructure, whereas data analysts focus on analysis and visualization.

Infographic showing various Sql Python Data Engineer job openings in Virginia Beach, VA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $123,104 per year, or $59.2 per hour.

Data Engineer

Chesapeake, VA โ€ข On-site

Standard Calibrations Inc
Industrial Automation Equipment Manufacturingย โ€ขย 51 - 200 employees

$85K - $105K/yr

Full-time

Re-posted 2 days ago


Job description

Description

We are seeking a Data Engineer to help us build and scale the data infrastructure that powers decision making across Standard Calibrations. In this role, you will architect, implement, and maintain the systems and pipelines that transform raw data into clean, reliable, and analytics-ready datasets. You will also be working with these datasets to report on metrics for the business to base their decisions on.


You will work closely with our data, product, and engineering teams to design end-to-end data flows, integrate new data sources, and establish the foundation for long-term scalability. You will partner with stakeholders across the company - sales, finance, operations, and customer service - to ensure they have timely, trustworthy data and the tools to use it effectively.


In this role, you will directly influence how data is collected, structured, and leveraged across Standard Calibrations. You will help define our technical foundation, accelerate analytics maturity, and enable teams throughout the organization to make smarter, faster, data-driven decisions.

Requirements


Key Responsibilities:

Data Architecture & Modeling

  • Define and develop data architecture, schemas, ETL/ELT processes, and data models to develop and maintain our data pipelines and data warehouse within our Microsoft Fabric environment.
  • Ensure adherence to best practices in data modeling, scalability, governance, and performance optimization.
  • Develop standardized, well-documented semantic layers and curated datasets for analytics consumers. Ensure pipelines are resilient, observable, well-tested, and optimized for cost and performance

Infrastructure Ownership

  • Perform ongoing maintenance, tuning, optimization, and administration of SQL and Microsoft Fabric environments.
  • Monitor data pipeline and warehouse health ensuring availability, reliability, and data integrity.
  • Establish and maintain standards for version control, deployment, orchestration, and environment governance.

Cross-Functional Collaboration and Analytics

  • Partner with product teams to identify KPIs, define metrics, and develop measurement strategies. Develop and maintain Power BI data models and dashboards to visualize these metrics and provide self-service tools data analytics for the business.
  • Develop and maintain Crystal Reports alongside the business to support production needs and provide polished documents/statements for our customers.
  • Support daily, weekly, and monthly reporting needs across multiple departments.

Data Quality, Security & Governance

  • Implement and enforce data governance and security best practices, ensuring clean and lean data pipelines and datasets.
  • Troubleshoot pipeline failures, data quality issues, and system performance challenges.
  • Maintain detailed documentation for data requirements, data flows, schemas, and operational processes.

Innovation & Continuous Improvement

  • Evaluate new tools, frameworks, and architectures to enhance data engineering workflows.
  • Advocate for best practices in data management, engineering, and analytics.
  • Contribute to building a scalable, self-service analytics ecosystem that empowers teams across the organization.

Required Qualifications:

  • 5-7+ years of experience in data engineering, data analytics, or data development with a reporting focus.
  • Proficiency in Microsoft SQL, Microsoft PowerBI, and data migration tools such as Microsoft SSIS.ย 
  • Proficiency in designing SAP Crystal Reports 2020 or newer.
  • Experience integrating data from various sources (e.g., relational DBs, NoSQL, APIs, external SaaS platforms).
  • Ability to design scalable, maintainable, and robust data pipelines.
  • Familiarity with project management workflows and working within change management guidelines.
  • Excellent communication skills and the ability to collaborate with technical and non-technical stakeholders.
  • Must be able to pass a pre-employment drug screen.

Preferred Qualifications:

  • Experience with Microsoft Fabric or similar transformation frameworks.
  • Familiarity with cloud environments, preferably Microsoft Azure.
  • Familiarity with Visual Studio 2019 or newer.
  • Background in analytics, business intelligence, and/or reporting such as SSRS.
  • Knowledge of data governance frameworks and security best practices.
  • Experience building data products or enabling self-service analytics tools.

Safetyย 

It is SCI's policy to require safe operations and practices from all employees and to ensure safe working environments.


Appearance

  • Business casual

Physical Requirements

  • Ability to lift equipment weighing up to 40 pounds (with equipment, as needed)
  • Bending/squatting/kneeling/stooping/crouching
  • Able to sit or stand for long periods of time when needed
  • Ability to use and view a computer screen, keyboard, and mouseย 

AAP/EEO Statement

Standard Calibrations, Inc. is committed to equal employment opportunity. We recruit, employ, train, compensate, and promote without regard to race, religion, color, national origin, age, sex, disability, protected veteran status, or any other basis protected by applicable federal, state, or local law.


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