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Sql Python Data Engineer Jobs in Virginia Beach, VA

DATA ENGINEER

Virginia Beach, VA · On-site

$101K - $121K/yr

Data Engineer Banking (2-3 Years Experience) Company: AaraTech Inc About the Role 0AaraTech Inc is ... Write SQL queries and basic Python scripts * Assist with data ingestion and transformation

DATA ENGINEER

Virginia Beach, VA · On-site

$101K - $121K/yr

Develop data solutions using SQL and Python * Support healthcare data ingestion and transformation ... Engineering or related role * Strong SQL skills and basic Python knowledge * Understanding of ETL ...

DATA ENGINEER

Virginia Beach, VA · On-site

$101K - $121K/yr

Data Engineer Retail & E-Commerce (2-3 Years Experience) Company: AaraTech Inc About the Role ... Write SQL queries and basic Python scripts * Assist with data ingestion and transformation

Data Engineer

Norfolk, VA · On-site

$55 - $60/hr

Proficiency in Python for data engineering and ETL development. * Hands-on experience with SSIS (SQL Server Integration Services). * Experience designing and managing workflows using Apache Airflow.

Data Engineer

Norfolk, VA · On-site

$55 - $60/hr

Proficiency in Python for data engineering and ETL development. * Hands-on experience with SSIS (SQL Server Integration Services). * Experience designing and managing workflows using Apache Airflow.

Data Engineer

Norfolk, VA · On-site

$100 - $125/hr

... Reporting, SSIS, ETL Development, PowerShell, Python, XML, Splunk, Data Lake, Azure Storage, Microsoft Azure, Backend Data Engineering, Data Connectivity, Data Movement, SQL Databases, Data ...

Senior Data Engineer

Newport News, VA · On-site

$150 - $200/hr

Proficiency in SQL, Python, or Scala for data transformation * Experience with relational database ... Certification in Microsoft Azure Data Engineering or Azure Database Administrator preferred

New

Data Engineer

Virginia Beach, VA · On-site

$77K - $176K/yr

Develop secure, efficient Python for data processing, automation, and warehousing. * Migrate and ... Develop SQL scripts and stored procedures for data processing and transformation. * Apply data ...

Site Reliability Data Engineer

Norfolk, VA · On-site

$55.25 - $73.25/hr

Develop data-processing solutions using SQL, Python, and other approved technologies; apply reusable engineering patterns, source control, peer review, and documented release practices. Integrate ...

Snowflake Architect

Virginia Beach, VA · On-site

$56.25 - $72.50/hr

Strong experience in enterprise data architecture, cloud data engineering, and client-facing consulting. * Expertise in Snowflake, dbt, Microsoft Azure, Power BI, SQL, Python, Dagster, and Fivetran.

This is a hands-on role for an early-career engineer with a solid foundation in Python, SQL, and ... Develop Python and SQL code used in data-processing and integration workflows. * Perform data ...

Sr. AWS Data Engineer with Snowflake

Norfolk, VA · On-site

$110K - $133K/yr

IT Experience - 10 years. 8+ years of development experience using SQL or PL/SQL 8+ years of ... programming experience using Python (Good to have - UNIX Shell Scripting, or Windows Power Shell ...

Data Engineer

Chesapeake, VA · On-site

$85K - $105K/yr

Perform ongoing maintenance, tuning, optimization, and administration of SQL and Microsoft Fabric ... Advocate for best practices in data management, engineering, and analytics. * Contribute to ...

Data Engineer

Chesapeake, VA · On-site

$85K - $105K/yr

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

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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 8, 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.

Python Data Scientist / Data Engineer

Virginia Beach, VA • Remote

Full-time

Re-posted 22 days ago


Job description

Python Data Scientist / Data Engineer

Python Data Scientist / Data Engineer (PySpark, ETL, Notebooks, Databricks) Summary We're hiring a versatile Python Data Scientist / Data Engineer to design, implement, and productionize scalable data pipelines and analytics workflows.

The role requires deep PySpark experience, strong ETL design, experience with interactive notebooks, and familiarity with Databricks or similar managed Spark platforms.

Key responsibilities

* Design and build robust ETL/ELT pipelines using PySpark for batch and near-real-time workflows.

* Develop, optimize, and schedule Spark jobs on Databricks (or equivalent Spark environment).

* Work with data scientists and product teams to transform business requirements into data models, features, and dashboards.

* Implement data validation, monitoring, and lineage to ensure data quality and reliability.

* Create reproducible notebooks for exploration, prototyping, and handoff to production pipelines.

* Tune performance of Spark jobs (memory, partitioning, shuffle reduction) and optimize cluster usage.

* Collaborate on building CI/CD for data workflows, including tests for data transformations and schema changes.

* Document architecture, ETL processes, and best practices.

Required qualifications

* 3+ years experience in data engineering, data science, or analytics engineering roles.

* Strong Python programming and hands-n PySpark experience developing data transformations at scale.

* Experience with Databricks (jobs, clusters, Delta Lake) or equivalent managed Spark platforms.

* Solid understanding of ETL/ELT patterns, data modeling, and data warehousing concepts.

* Comfortable using Jupyter or Databricks notebooks for exploration and prototyping.

* Experience with SQL and working knowledge of cloud data storage systems (S3, ADLS) and databases.

* Familiarity with orchestration tools (Airflow, Prefect, Dagster) and awareness of CI/CD for data pipelines.