1

Sql Python Data Engineer Jobs in Virginia Beach, VA

Data Quality Engineer - VA

Norfolk, VA ยท On-site

$110K - $133K/yr

Data Quality Engineer Location: USA, East Coast Job Summary We are seeking a skilled and ... Proficiency in programming languages such as Python, SQL, or Java. Excellent problem-solving and ...

Proficiency in manipulating data (Python, R, SQL, SAS). * Ability to develop a roadmap that links ... Ability to work hands on with developers to deliver solutions and provide customer support and ...

... using Python or similar programming languages (Ruby, Java, R). * 2+ years of experience with ... SQL and NoSQL). * 1+ year of experience leveraging prompt engineering and GenAI tools in a ...

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

Palantir Data Engineer

Norfolk, VA ยท On-site

$77K - $176K/yr

Palantir Data Engineer The Opportunity: As an analytics professional, you're excited at the ... Experience with Python or TypeScript * Experience with data connections and Code Repositories or ...

Palantir Data Engineer

Norfolk, VA ยท On-site

$99K - $225K/yr

Palantir Data Engineer The Opportunity: As an analytics professional, you're excited at the ... Experience with Python or TypeScript * Experience with data connections and Code Repositories or ...

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

Showing results 41-60

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 10, 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.

Mid-Level Data Engineer with Security Clearance

Hampton, VA โ€ข On-site

$130K - $140K/yr

Other

Re-posted 4 days ago


Job description

Job Description Everforth ECS is seeking a Mid-Level Data Engineer to work remotely . Everforth ECS is seeking an experienced Mid-Level Data Engineer to support a rapidly growing Data Analytics and Business Intelligence platform focused on providing data solutions that empower our federal customers. In this role, you will be guiding a cross-functional team (composed of data scientists, data engineers, developers, and functional staff) to support our Department of Homeland Security (DHS) Office of the Chief Information Officer (OCIO) customer. The project being supported is extremely high priority and has a lot of visibility from senior Federal leadership. You will be responsible for the day-to-day operations of systems that depend on data, ensuring data is properly processed and securely transferred to its appropriate location, in a timely manner. Processing data will include managing, manipulating, storing and parsing data in a data pipeline for variety of target sources. You will also support maintenance of applications and tools that reside on these systems such as upgrades, patches, configuration changes, etc. The work is performed in a multidisciplinary team environment using agile methodologies. The candidate we seek must be highly motivated and enthusiastic about implementing new technologies and learning about new data in a small team environment where deadlines are important. Job responsibilities include: * Complete development efforts across data pipeline to store, manage, store, and provision to data consumers. * Partner with data scientists, data architects, and federal stakeholders to deploy models in production. * Write code to ensure the performance and reliability of data extraction and processing. * Support continuous process automation for data ingest. * Achieve technical excellence by advocating for and adhering to lean-agile engineering principles and practices such as API-first design, simple design, continuous integration, version control, and automated testing. * Work with program management and engineers to implement and document complex and evolving requirements. * Help cultivate an environment that promotes customer service excellence, innovation, collaboration, and teamwork. * Collaborate with others as part of a cross-functional team that includes user experience researchers and designers, product managers, engineers, and other functional specialists. Salary Range: $130,000 - $140,000 Required Skills * Must be a US Citizen. * Must be able to obtain Public Trust Clearance. * 7+ years of IT experience including experience in working with modern cloud data warehouse technologies. * Experience with designing table models. * Experience with ingesting data of various types into the Redshift data warehouse. * Proficiency in developing ETL processes, and performing test and validation steps. * Proficiency in manipulating data (Python, R, SQL, SAS). * Strong knowledge of big data analysis and storage tools and technologies. * Strong understanding of the agile principles and ability to apply them. * Experience working inside the AWS ecosystem. * Experience with relational databases (e.g., PostgreSQL). * Work comfortably in version control systems (e.g., Git). Desired Skills * Experience creating and consuming APIs. * Experience with DHS and knowledge of DHS standards a plus. * Ability to develop visualizations utilizing Tableau or Power BI. * Demonstrated experience translating business and technical requirements into comprehensive data strategies and analytic solutions. * Demonstrated ability to communicate across all levels of the organization and communicate technical terms to non-technical audiences. * Experience with AI/ML-specific tools and platforms. * Experience in one of the following areas: NLP, data provenance, LLMs/RAG, or deep learning. * A passion for staying updated with the latest advancements in AI/ML and data engineering. #EverforthECS1 ECS Federal LLC is an equal opportunity employer and does not discriminate or allow discrimination on the basis any characteristic protected by law. All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, or local jurisdiction law. is the federal segment of , a $4B global organization with over 10,000 employees. Our nearly 3,500 professionals deliver advanced technology solutions in data and AI, cybersecurity, and enterprise transformation, serving defense, intelligence, and federal civilian agencies. Our work powers mission-critical outcomes, strengthens technology partnerships, and creates meaningful opportunities for our people. We are defined by a commitment to excellence in delivery, a culture of innovation, and an environment where talent can thrive and grow. We value: * Attracting and developing top talent and high-performing teams * Fostering a culture that is engaging, accountable, and mission-driven Meet the challenge. Make a difference with Everforth ECS!