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Part Time Sql Jobs in Virginia (NOW HIRING)

ECS

Senior Data Analyst (Part-Time)

Arlington, VA · On-site

$73.76 - $76.17/hr

Everforth ECS is seeking a Senior Data Analyst (Part-Time) to work in our Arlington, VA office ... In-depth knowledge of scripted languages such as SQL, Python, R, and Java Scripts and the proven ...

LinTech Global

Senior Data Analyst (part-time)

Arlington, VA · On-site

$98K - $124K/yr

Expert proficiency in common data science tools, including scripted languages (such as SQL, Python, R, and Java Scripts), Integrated Development Environment and analytics platforms, open-source ...

ECS

GIS Architect (part-time)

Arlington, VA · On-site

$73.29 - $76.17/hr

ECS is seeking a GIS Architect (part-time) to work in our Arlington, VA office. Please Note: This ... SQL to write and maintain scripts to manipulate data and automate complex workflows, as well as ...

Dexian

Full Stack Engineer

Mclean, VA · On-site

Part-time telecommuting permitted. Travel and work in various unanticipated work locations in the U ... SQL /Stored Procedure Components. Travel and work throughout the United States to various ...

Booz Allen Hamilton, Inc.

AI Engineer

Mclean, VA · On-site

Experience with basic SQL, Microsoft SQL Server, or healthcare, claims, or research data ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Booz Allen Hamilton, Inc.

Automation Engineer

Mclean, VA · On-site +1

$86K - $198K/yr

Knowledge of SQL such as table optimization and stored procedures, and PowerBI such as dashboard ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Booz Allen Hamilton, Inc.

Software Test Engineer

Herndon, VA · On-site +1

$99K - $225K/yr

Validate data accuracy using SQL and troubleshoot integration issues through API and log analysis ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

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Part Time Sql information

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How much do part time sql jobs pay per hour?

As of Jul 20, 2026, the average hourly pay for part time sql in Virginia is $42.99, according to ZipRecruiter salary data. Most workers in this role earn between $19.64 and $59.85 per hour, depending on experience, location, and employer.

What is the difference between Part Time Sql vs Part Time Data Analyst?

AspectPart Time SqlPart Time Data Analyst
Required SkillsSQL querying, database managementSQL, data visualization, analytical skills
Work EnvironmentRemote or on-site, focused on database tasksRemote or on-site, broader data analysis responsibilities
CertificationsSQL certifications (e.g., Microsoft SQL Server)Data analysis certifications (e.g., Microsoft Data Analyst)
Industry UsageTech, finance, healthcareBusiness, marketing, finance

Part Time Sql roles focus primarily on managing and querying databases using SQL, often requiring specific certifications. Part Time Data Analysts perform broader data analysis, including visualization and reporting, with a wider skill set. Both roles are common in various industries and can be remote or on-site.

How does a part-time SQL professional typically collaborate with full-time team members and manage project handovers?

Part-time SQL professionals often work closely with full-time database administrators, developers, and analysts to ensure smooth communication and continuity on projects. Effective documentation, regular status updates, and scheduled check-ins are key to managing handovers and keeping everyone aligned. While part-time roles offer flexibility, they require strong organizational skills to stay informed on project changes and to address urgent queries promptly. Collaboration tools like shared project management platforms and version control systems are commonly used to bridge the gap between part-time and full-time team members.

What are the key skills and qualifications needed to thrive as a Part Time SQL Developer, and why are they important?

To thrive as a Part Time SQL Developer, you need strong skills in SQL programming, data analysis, and database management, typically supported by experience or a relevant degree in computer science or information technology. Familiarity with relational database management systems such as Microsoft SQL Server, MySQL, or Oracle, and sometimes certifications like Microsoft Certified: Azure Data Fundamentals, are valuable. Attention to detail, problem-solving abilities, and effective communication are key soft skills for collaborating with teams and translating data needs. These competencies are crucial for ensuring data accuracy, optimizing database performance, and supporting business decision-making processes.

What is a Part Time SQL job?

A Part Time SQL job involves working with Structured Query Language (SQL) databases on a part-time basis, typically less than 40 hours per week. Responsibilities may include writing and optimizing SQL queries, maintaining databases, extracting and analyzing data, and supporting data-driven decision making. These roles are common in businesses that need database management but do not require full-time staff, making them ideal for students or professionals seeking flexible work hours.
What are the most commonly searched types of Sql jobs in Virginia? The most popular types of Sql jobs in Virginia are:
What are popular job titles related to Part Time Sql jobs in Virginia? For Part Time Sql jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Part Time Sql jobs in Virginia look for? The top searched job categories for Part Time Sql jobs in Virginia are:
What cities in Virginia are hiring for Part Time Sql jobs? Cities in Virginia with the most Part Time Sql job openings:
Part Time Sql jobs near you
Senior Data Analyst (Part-Time)

Senior Data Analyst (Part-Time)

ECS

Arlington, VA • On-site

$73.76 - $76.17/hr

Part-time

Re-posted 12 days ago

Job description

Everforth ECS is seeking a Senior Data Analyst (Part-Time) to work in our Arlington, VA office. Please Note: This position is contingent upon additional funding.
Responsibilities include:
  • Work as RISC liaison to CIO for server/system issues related to AWS and Azure.
  • Write programming codes, such as DAX and data Mash-up(M) for data manipulation, sorting, summarizing, and reporting.
  • Perform analysis of data for Extraction, Transformation, and Load (ETL) strategies, pattern recognition, and application of analytical tools.
  • Review, analyze, and modify existing products including coding, debugging, testing, and documenting.
  • Provide guidance to coworkers on business and technical issues affecting projects, such as data access, data quality, storage capacity, and analytic tools and software.
  • Assist with training and conference development which may include presentations to large audiences.
  • Engineer data analytic solutions, including prototyping, proof of concept, and full implementation.
  • Evaluate, assess, document, and test data security and continuity of operations for systems and programs.
  • Ensure compatibility between equipment and software, analyze operational/systems requirements, support design reviews, and present technical briefings.
  • Work as RISC liaison to CIO for server/system issues related to AWS and Azure.
  • Coordinate with staff and customers to identify business and technical requirements.
  • Produce written documentation and artifacts for all work completed, including the translation of user requirements into technical designs.
  • Assist the agency in the development of programming and visualization solutions.
  • Troubleshoot and provide support on existing projects or application efforts.
  • Understand the concepts supporting relational databases, data warehousing, data governance, data access, data quality and related areas.
  • Engineer data analytic solutions, including prototyping, proof of concept, and full implementation.
  • Evaluate, assess, document, and test data security and continuity of operations for systems and programs.
  • Ensure compatibility between equipment and software, analyze operational/systems requirements, support design reviews, and present technical briefings.
  • Analyze Postal Service operations to identify potential fraud schemes, actors, and methods.
  • Participate in site visits with staff and interpret in-the-field observations, identify corresponding data, perform analysis, and identify broader findings.

Salary Range: $73.76-$76.17
General Description of Benefits
  • Must be able to obtain a USPS Public Trust
  • Degree in Computer Science, Information Technology, Data Analytics, or related field.
  • 7+ years' experience and skill writing coding languages (such as SQL, Python, R, and Java Scripts).
  • 3+ years' experience working with Microsoft Power Platform (including Power BI, Power Automate, Power Apps) and other business intelligence applications.
  • 1+ year experience working with AWS or Azure services such as Databricks, Data Factory, and Data Lake.
  • In-depth knowledge of scripted languages such as SQL, Python, R, and Java Scripts and the proven ability to create solutions in complex environments, including the use of programming languages to create datasets, visualizations, and interactive reports in various business intelligence applications.
  • Skill applying analytical techniques, methods, and processes to business problems demonstrated through a history of accepted modeling and analyses that resulted in meaningful business impact. These include working with unstructured or structured data and converting those data sets using a variety of analyses such as optimization, simulation, classical and spatial statistics, and/or programming languages.
  • Strong writing and documentation skills to capture collection of source data, methodology from business rules, and visualization deployment from a myriad of sources and interactions with various stakeholders.
  • Ability to facilitate between business owners and end-users who need to communicate with database administrators and traditional IT support staff.
  • Ensure that quality/security guidelines are followed.
  • Strong relational database and querying languages experience.
  • Strong verbal and written communication skills.
  • Must be able to work effectively in a team environment.
  • Understand and follow a software development lifecycle (analysis, design, development, coding, testing, debugging, and documenting).
  • Knowledge of ODBC connection strings, and other external data source connection protocols.
  • Expert proficiency in common data science tools, including scripted languages (such as SQL, Python, R, and Java Scripts), Integrated Development Environment and analytics platforms, open-source solutions, commercial off-the- shelf tools and hardware-based capabilities to support the data analytic development process and creating models, dashboards, and reports.
  • Knowledge and experience using business intelligence applications and reporting technologies/methodologies including Data Analytics Expressions (DAX), data Mash-up(M), and Microsoft Power Platform (e.g., Power BI, Power Apps, Power Automate, etc.).
  • Knowledge of AWS or Azure Services, including Databricks, Data Factory, and Data Lake.
  • Knowledge of Extraction, Transformation, and Load (ETL) strategies, pattern recognition, and application of analytical tools.
  • Ability to facilitate between business owners and end-users who need to communicate with database administrators and traditional IT support staff.
  • Experience applying analytic techniques to detect fraud in Postal Service operations.
  • Extensive background in statistical analysis and skilled in advanced statistical methods and software.
  • Able to work independently or with teams across functions professionally.
  • Capable of writing concise, comprehensive communications on complex issues for the intended audience.
  • Able to communicate methodology and results clearly in writing and verbally, including findings from research.

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