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Part Time Coding Jobs in Laurel, MD (NOW HIRING)

ECS

Senior Data Analyst (Part-Time)

Arlington, VA · On-site

$98K - $124K/yr

Everforth ECS is seeking a Senior Data Analyst (Part-Time) to work in our Arlington, VA office ... Write programming codes, such as DAX and data Mash-up(M) for data manipulation, sorting ...

Bass Pro Shops

Greeter, Part-Time

Baltimore, MD · On-site

$15 - $17.75/hr

... code guidelines, a smile, eye contact, and welcoming body language. * Checks in all customers ... Starting Pay Rate: $15.00 - $17.75 Part Time Benefits Summary: Enjoy discounts on retail ...

The Metropolitan Club

Doorman | Part-Time

Washington, DC · On-site

$18.75 - $24.75/hr

Enforce Club by-laws and standards respectfully, including dress code and electronic device ... Requirements * 20-28 hours per week | Part-Time * Schedule flexibility required to accommodate ...

The Midtown Group

Be Seen First

Part-Time Data Analyst

Arlington, VA · On-site

$65/hr

We are seeking an experienced Part-Time Data Analyst to support a federal agency in developing ... Create and maintain DAX and Power Query (M) code for data transformation, modeling, and reporting.

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Part Time Coding information

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$29

How much do part time coding jobs pay per hour?

As of Jun 16, 2026, the average hourly pay for part time coding in Laurel, MD is $19.08, according to ZipRecruiter salary data. Most workers in this role earn between $11.20 and $26.44 per hour, depending on experience, location, and employer.

Can you do coding as a part-time job?

Part-time coding jobs are common and typically involve working fewer hours than full-time positions, often on a flexible schedule. These roles may require proficiency in programming languages, problem-solving skills, and familiarity with tools like Git or IDEs. Many companies offer remote or freelance opportunities for part-time coders.

How can I make 2000 a week working from home?

Part-time coding jobs can help you earn significant income if you have strong programming skills, experience with in-demand languages, and the ability to take on multiple projects. Freelance platforms like Upwork or Fiverr allow you to find clients and set competitive rates, but earning $2000 weekly typically requires consistent work, high-quality deliverables, and possibly working extended hours or securing high-paying projects. Building a solid portfolio and developing specialized skills can increase your earning potential in a remote coding role.

What are some typical responsibilities for someone in a part-time coding position?

As a part-time coder, you might be tasked with writing, testing, and debugging code, assisting with software updates, or participating in team meetings to discuss project goals and progress. Depending on the company, you could work independently on smaller tasks or collaborate with full-time developers to tackle larger features. These roles often require you to quickly adapt to changing priorities and manage your time effectively to meet deadlines within limited working hours. Remote work is common, and communication with team members typically happens through messaging platforms and version control tools. This structure allows you to make a meaningful impact on development projects while maintaining flexibility.

What is a Part Time Coding job?

A Part Time Coding job involves writing, testing, and maintaining code for software, websites, or applications on a flexible work schedule. These roles are ideal for students, freelancers, or professionals looking to gain experience or earn extra income. Part-time coders work on projects such as web development, app development, or bug fixes, often remotely or as contractors. The hours may vary depending on the employer's needs, but typically range from a few hours per week to 20-30 hours.

What jobs pay 2000 a day?

High-paying jobs that can pay around $2,000 a day often include specialized consulting, freelance software development, or executive roles such as senior project managers or consultants with in-demand skills. These positions typically require extensive experience, advanced skills, or certifications, and may involve freelance or contract work with flexible schedules.

What are the key skills and qualifications needed to thrive in the Part Time Coding position, and why are they important?

To thrive in a Part Time Coding role, you need proficiency in programming languages such as Python, JavaScript, or Java, often supported by a relevant degree or certifications in computer science or software development. Experience with code editors, version control systems like Git, and popular frameworks or libraries is typically required. Strong time management, communication, and problem-solving skills help part-time coders effectively contribute to projects while balancing a flexible schedule. These competencies enable you to deliver quality solutions efficiently and collaborate seamlessly with teams, even with limited hours.

What job makes $10,000 a month without a degree?

A part-time coding job can potentially earn $10,000 a month if the individual has advanced programming skills, specializes in high-demand areas like software development or freelance consulting, and works with clients or projects that pay premium rates. Success often depends on experience, portfolio, and the ability to secure high-paying contracts or freelance gigs outside traditional employment structures.
What are the most commonly searched types of Coding jobs in Laurel, MD? The most popular types of Coding jobs in Laurel, MD are:
What job categories do people searching Part Time Coding jobs in Laurel, MD look for? The top searched job categories for Part Time Coding jobs in Laurel, MD are:
What cities near Laurel, MD are hiring for Part Time Coding jobs? Cities near Laurel, MD with the most Part Time Coding job openings:
Part Time Coding jobs near you
Infographic showing various Part Time Coding job openings in Laurel, MD as of June 2026, with employment types broken down into 100% Part Time. Highlights an 100% In-person job distribution, with an average salary of $39,693 per year, or $19.1 per hour.
Senior Data Analyst (Part-Time)

Senior Data Analyst (Part-Time)

ECS

Arlington, VA • On-site

$98K - $124K/yr

Part-time

Posted 8 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.

  • 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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