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Weekend Data Jobs in Philadelphia, PA (NOW HIRING)

This might include weekend and off hours support. Candidates should be local to the office. Mandatory: 1. Strong Data Profiling and Analysis skills 2. Strong SQL knowledge 3. Strong Data Mapping and ...

Data Center Technicians should be willing to work both independently and with a team. Work ... weekends/holidays. Traveling within and outside of the regional work area is required. You will be ...

Data Center Technicians should be willing to work both independently and with a team. Work ... weekends/holidays. Traveling within and outside of the regional work area is required. You will be ...

Data Center Technicians should be willing to work both independently and with a team. Work ... weekends/holidays. Traveling within and outside of the regional work area is required. You will be ...

Sr Data Engineer

Blue Bell, PA · On-site

$109K - $131K/yr

Job Title: Sr Data Engineer Location: Blue Bell, PA Requirement Healthcare, Medical & Pharmacy ... Provide after-hours or weekend support as needed. Demonstrate an ability to work independently.

Data Center Technicians should be willing to work both independently and with a team. Work ... weekends/holidays. Traveling within and outside of the regional work area is required. You will be ...

Data Center Technicians should be willing to work both independently and with a team. Work ... weekends/holidays. Traveling within and outside of the regional work area is required. You will be ...

Sr Data Engineer

Blue Bell, PA · On-site

$109K - $131K/yr

Job Title: Sr Data Engineer Location: Blue Bell, PA Requirement Healthcare, Medical & Pharmacy ... Provide after-hours or weekend support as needed. Demonstrate an ability to work independently.

Data Center Technicians should be willing to work both independently and with a team. Work ... weekends/holidays. Traveling within and outside of the regional work area is required. You will be ...

Data Center Technician position involves in-depth hardware and network diagnostics followed by ... BASIC QUALIFICATIONS - Work a flexible schedule including weekends, nights, and holidays - 18 ...

Data Center Technician position involves in-depth hardware and network diagnostics followed by ... BASIC QUALIFICATIONS - Work a flexible schedule including weekends, nights, and holidays - 18 ...

Data Center Technician position involves in-depth hardware and network diagnostics followed by ... BASIC QUALIFICATIONS - Work a flexible schedule including weekends, nights, and holidays - 18 ...

Data Center Technician position involves in-depth hardware and network diagnostics followed by ... BASIC QUALIFICATIONS - Work a flexible schedule including weekends, nights, and holidays - 18 ...

Data Center Technician position involves in-depth hardware and network diagnostics followed by ... BASIC QUALIFICATIONS - Work a flexible schedule including weekends, nights, and holidays - 18 ...

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Weekend Data information

See Philadelphia, PA salary details

$9

$19

$46

How much do weekend data jobs pay per hour?

As of Jul 29, 2026, the average hourly pay for weekend data in Philadelphia, PA is $19.47, according to ZipRecruiter salary data. Most workers in this role earn between $13.55 and $19.60 per hour, depending on experience, location, and employer.

What are the main responsibilities and challenges of working as a Weekend Data Analyst?

As a Weekend Data Analyst, your primary responsibilities include collecting, cleaning, and analyzing data to provide insights for decision-making, often focusing on time-sensitive projects or monitoring systems that require weekend support. A common challenge in this role is managing tight deadlines and ensuring data accuracy with limited weekday resources or support. You may work independently or as part of an on-call rotation, collaborating remotely with teams to deliver timely reports or troubleshoot issues. This position offers valuable experience for those seeking to build expertise in fast-paced analytics environments and demonstrates reliability for future advancement.

What is the difference between Weekend Data vs Weekend Data Analyst?

AspectWeekend DataWeekend Data Analyst
Required CredentialsTypically a background in data management or related certificationsSame as Weekend Data, often requiring data analysis certifications or skills
Work EnvironmentPart-time or weekend-focused data management rolesPart-time or weekend-focused data analysis tasks, often in office or remote settings
Employer & Industry UsageUsed in industries needing weekend data processing, like retail or logisticsUsed in industries requiring weekend data insights, such as marketing or e-commerce

Weekend Data and Weekend Data Analyst roles share similar credentials and work environments, focusing on weekend or part-time data tasks. The main difference lies in the job focus: data management versus data analysis. Both roles serve industries that need weekend data support, but the analyst role emphasizes interpreting data to inform decisions.

What are the key skills and qualifications needed to thrive as a Weekend Data Analyst, and why are they important?

To thrive as a Weekend Data Analyst, you need strong analytical skills, proficiency in data interpretation, and typically a degree in statistics, mathematics, or a related field. Familiarity with data analysis tools like Excel, SQL, Python, or BI platforms, and sometimes relevant certifications, is commonly required. Attention to detail, time management, and effective communication are crucial soft skills for managing weekend workloads and sharing insights with stakeholders. These competencies ensure accurate, timely analysis and actionable reporting even within limited weekend hours.

What are Weekend Data jobs?

Weekend Data jobs refer to positions that involve working with data—such as data entry, analysis, or reporting—specifically during weekends. These roles are often part-time and may appeal to students, professionals seeking extra income, or those with weekday commitments. Weekend Data jobs can be found in industries like retail, healthcare, and IT, where data needs to be processed continuously. Common responsibilities include managing databases, cleaning data, and generating reports. Working these hours may also offer flexible scheduling or remote work opportunities.
What are the most commonly searched types of Data jobs in Philadelphia, PA? The most popular types of Data jobs in Philadelphia, PA are:
What job categories do people searching Weekend Data jobs in Philadelphia, PA look for? The top searched job categories for Weekend Data jobs in Philadelphia, PA are:
Infographic showing various Weekend Data job openings in Philadelphia, PA as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $40,506 per year, or $19.5 per hour.

DBT Data Engineer (hybrid)

NTT DATA Services

King Of Prussia, PA • Hybrid

$100K - $125K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 27 days ago


NTT Data rating

7.4

Company rating: 7.4 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

118th of 230 rated it services


Job description

Req ID: 379637 

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.

We are currently seeking a DBT Data Engineer (hybrid) to join our team in King of Prussia, Pennsylvania (US-PA), United States (US).

We are currently seeking a DBT Data Engineer to join our team in King of Prussia, PA (hybrid)

Role Overview

The DBT SME serves as the senior engg for data transformation within a modern data stack built on dbt, Snowflake. This role is responsible for implementing dbt transformation models, enforcing modeling best practices, and ensuring that dbt, and traditional data modeling disciplines work together cohesively in a production environment. The ideal candidate brings hands-on dbt expertise, deep Snowflake knowledge, strong Python skills, and the ability to translate conventional data warehouse patterns into maintainable, scalable dbt solutions.

Responsibilities

Design and develop dbt transformation models targeting Snowflake, applying model layering (staging, intermediate, mart), incremental strategies, snapshot patterns, and dbt macros.

Apply Snowflake-specific optimizations within dbt models, including clustering keys, transient tables, and appropriate warehouse sizing to control cost and performance.

Translate traditional data warehouse designs - including dimensional models, ERDs, and legacy SQL transformation logic - into dbt-native patterns.

Develop and maintain dbt tests (generic and singular), custom Python-based data quality checks, and documentation to ensure transformation correctness and pipeline observability.

Perform peer code reviews, provide technical mentorship to engineers, and drive adoption of dbt best practices and modeling standards across the team.

Troubleshoot data discrepancies, pipeline failures, and Snowflake query performance issues, and implement preventive measures.

Maintain technical documentation, transformation runbooks, and handover materials.

Qualifications

5+ years of DBT Core experience - model layering, macros, Jinja templating, incremental materializations, snapshots, and dbt tests.

3+ years of hands-on Snowflake experience as a dbt target, including SQL dialect proficiency, query optimization, clustering, and RBAC.

3+ years of Python experience applied to data engineering, including pipeline scripting, automation, and data quality tooling.

5+ years of SQL experience - complex joins, window functions, CTEs, and aggregations across large datasets.

Where required by law, NTT DATA provides a reasonable range of compensation for specific roles. The starting pay range for this hybrid role is $100,000 - $125,000. This range reflects the minimum and maximum target compensation for the position across all US locations. Actual compensation will depend on a number of factors, including the candidate's actual work location, relevant experience, technical skills, and other qualifications.    This position may also be eligible for incentive compensation based on individual and/or company performance.  This position is eligible for company benefits including medical, dental, and vision insurance with an employer contribution, flexible spending or health savings account, lifeand AD&D insurance, short and long term disability coverage, paid time off, employee assistance, participation in a 401k program with company match, and additional voluntary or legally-required benefits. 

About NTT DATA

NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D.

Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client's needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com, @nttdatafed.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us.

NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.


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About NTT DATA

Sourced by ZipRecruiter

NTT DATA Services is a global business and IT services provider specializing in digital, cloud and automation across a comprehensive portfolio of consulting, applications, infrastructure and business process services. We are part of the NTT family of companies, a partner to 85 % of the Fortune 100.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Plano, TX, US

Year founded

1967