ZipRecruiter

Log In

1

Weekend Data Engineer Contract Jobs in Pennsylvania

Daymark Health

Data Engineer

Philadelphia, PA

$140K - $160K/yr

Experience: You bring 4+ years of experience in data engineering, with a strong technical ... inform contract design or shared savings arrangements. * Strategic problem-solver: You thrive in ...

System One

Data Engineer - onsite

Hanover, PA · On-site

$110K - $132K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Contract Compensation: 55-70/hr W-2, depending on experience Work Model: Onsite US Citizenship required by federal client Responsibilities * Assign a dedicated Data Engineer to serve as the primary ...

New

SmartIPlace

Sr Data Engineer

Blue Bell, PA · On-site

$109K - $131K/yr

Provide after-hours or weekend support as needed. Demonstrate an ability to work independently ... data engineering or a related role. 8+ years of data analysis. Preferably in the Healthcare ...

SmartIPlace

Sr Data Engineer

Blue Bell, PA · On-site

$109K - $131K/yr

Provide after-hours or weekend support as needed. Demonstrate an ability to work independently ... data engineering or a related role. 8+ years of data analysis. Preferably in the Healthcare ...

D&H

Sr Data Engineer - Data Platform

Harrisburg, PA

$113K - $135K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Sr Data Engineer - Data Platform This is a fullyremote role. D&H is growing! Join 100+ year old ... Be part of a 24x7 on-call rotation for after-hour and weekend production support. Requirements:

IntegriChain

Sr Data Engineer

Philadelphia, PA · On-site +1

$115K - $138K/yr

  • Medical

  • PTO

Help establish standards for data contracts, schema evolution, data quality, lineage, and data ownership. MDM / Reltio Data Engineering Enablement * Design and build data pipelines that load source ...

IntegriChain

Sr Data Engineer

Philadelphia, PA

$115K - $138K/yr

  • Medical

  • PTO

Help establish standards for data contracts, schema evolution, data quality, lineage, and data ownership. MDM / Reltio Data Engineering Enablement * Design and build data pipelines that load source ...

IntegriChain

Sr Data Engineer

Philadelphia, PA · On-site

$115K - $138K/yr

  • Medical

  • PTO

Help establish standards for data contracts, schema evolution, data quality, lineage, and data ownership. MDM / Reltio Data Engineering Enablement * Design and build data pipelines that load source ...

SmartIPlace

Data Engineer[Hybrid-remote]

Harrisburg, PA · On-site

$113K - $135K/yr

(Data Engineer) Location: Harrisburg, PA Visa: Any visa except CPT, TN and GC (PP number is ... Contract end date is dependent on the final schedule and projected needs. Historically additional ...

1 point system

Sr. Data Engineer

Wayne, PA · On-site

$96K - $130K/yr

Requirement - Sr. Data Engineer Location- * 1041 West Valley Road Wayne, Pennsylvania 19087 * 7900 Windrose Ave Plano, Texas 75024 * 2525 Water Ridge Pkwy, Charlotte, NC 28217 Contract W2 Top ...

Apex Informatics

Data Engineer/ETL

Pittsburgh, PA · On-site

Pittsburgh, PA Contract for 12+ months Description: Data Engineer - ETL with Python, Hadoop & Snowflake Responsibilities • Organize business needs into ETL/ELT logical models and ensure data ...

IT America Inc

ETL Data Engineer

Malvern, PA · On-site

Malvern, PA Duration: Long term contract * Writes ETL (Extract / Transform / Load) processes, designs analytical data sets, develops tools for real-time and offline analytic processing. * Assists ...

previous pagenext page

Showing results 21-40

All JobsData Engineer Contract JobsWeekend Data Engineer Contract JobsWeekend Data Engineer Contract Jobs in Pennsylvania

Weekend Data Engineer Contract information

What is a Weekend Data Engineer Contract?

A Weekend Data Engineer Contract is a temporary or freelance position where a data engineer works primarily on weekends. These roles typically involve building, maintaining, or optimizing data pipelines and databases, ensuring data quality, and supporting analytics needs during weekend shifts. This setup is often used by companies that require continuous data operations or have projects with tight deadlines. Weekend contracts can provide flexibility for both the engineer and the employer, and may be ideal for those seeking additional income or balancing other commitments.

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

AspectWeekend Data Engineer ContractWeekend Data Analyst Contract
Required CredentialsTypically requires a degree in Computer Science, Data Engineering certifications, SQL, Python, and cloud platform knowledgeUsually requires a degree in Data Science, Statistics, or related fields, with proficiency in SQL, Excel, and data visualization tools
Work EnvironmentPrimarily technical, involving building data pipelines, ETL processes, and data infrastructureFocuses on analyzing data, generating reports, and providing insights for decision-making
Employer & Industry UsageUsed in tech companies, finance, healthcare, and industries with large data needsCommon in marketing agencies, retail, finance, and any sector requiring data reporting

Weekend Data Engineer Contracts involve building and maintaining data infrastructure, requiring technical skills and certifications. In contrast, Weekend Data Analyst Contracts focus on analyzing data and creating reports. Both roles are in demand across various industries but serve different functions within data teams.

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

To thrive as a Weekend Data Engineer Contractor, you need strong proficiency in data engineering principles, including ETL processes, database management, and programming languages like Python or SQL, often supported by a degree in computer science or a related field. Familiarity with cloud platforms (such as AWS or Azure), big data tools (like Spark or Hadoop), and relevant certifications (e.g., AWS Certified Data Analytics) is typically required. Strong problem-solving, effective communication, and the ability to work independently are crucial soft skills for this role. These skills and qualifications ensure high-quality, reliable data solutions are delivered efficiently during limited weekend hours, meeting project deadlines and client expectations.

What are some common challenges faced by Weekend Data Engineer Contractors, and how can they overcome them?

Weekend Data Engineer Contractors often encounter challenges such as limited access to stakeholders, tight turnaround times, and ensuring smooth handovers with weekday teams. To address these, clear documentation, proactive communication, and strong version control practices are essential. Working autonomously but staying aligned with the broader data engineering team helps ensure continuity and quality in deliverables.

What are the most commonly searched types of Weekend Data Engineer jobs in Pennsylvania?

The most popular types of Weekend Data Engineer jobs in Pennsylvania are:

What are popular job titles related to Weekend Data Engineer Contract jobs in Pennsylvania?

For Weekend Data Engineer Contract jobs in Pennsylvania, the most frequently searched job titles are:

What job categories do people searching Weekend Data Engineer Contract jobs in Pennsylvania look for?

The top searched job categories for Weekend Data Engineer Contract jobs in Pennsylvania are:

What cities in Pennsylvania are hiring for Weekend Data Engineer Contract jobs?

Cities in Pennsylvania with the most Weekend Data Engineer Contract job openings:

Weekend Data Engineer Contract jobs near you
Infographic showing various Weekend Data Engineer Contract job openings in Pennsylvania 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.

Data Engineer

Daymark Health

Philadelphia, PA

$140K - $160K/yr

Full-time

Posted 7 days ago

Job description

Daymark Health is a value-based oncology company redefining the cancer care experience for patients, providers, and health plans. Daymark's comprehensive, personalized cancer care platform empowers patients with dedicated care navigation, symptom-focused support, behavioral health care, and social resources. Combined with evidence-based health interventions and a hybrid in-person + virtual care model, Daymark is improving the overall cancer experience for patients, providers, and health plans – and setting a new standard in cancer care.

Daymark's groundbreaking approach is led by CEO Dr. Justin Bekelman, a pioneer in transforming cancer care, alongside some of the nation's foremost leaders in oncology and value-based care. Daymark Health is backed by Maverick Ventures, Yosemite, Oncology Ventures, Healthier Capital, Blue Venture Fund, and Healthcare Foundry.

Be cautious of recruitment fraud, and always confirm that communications are coming from an official Daymark Health email.

WHAT YOU'LL DO

At Daymark Health, we are transforming how data drives decision-making in healthcare. We are seeking a Data Engineer who is passionate about building scalable, impactful data pipelines, working with complex healthcare datasets, and contributing to Daymark's mission. Working very closely with Finance and Clinical leaders, you will play a key role in shaping the foundation of our data operations. In this role, you will:

  • Support the deployment of scalable infrastructure and tooling (e.g. Snowflake, dbt, AWS, Sigma) to support analytics, reporting, and real-time data exchange with providers and partners.
  • Drive high-impact analyses across claims, EHR, and real-time patient activity data, translating complex data into clear insights that inform care delivery and payer collaboration.
  • Build and scale robust data pipelines and governance practices to ensure data integrity, availability, and compliance across the organization.
  • Partner cross-functionally with Product, Engineering, Clinical, and external teams to prioritize data initiatives that advance Daymark's mission and scale our value-based care model
  • Develop and maintain real-time analytics capabilities to monitor key metrics and inform strategic decisions.
  • Collaborate with engineering and other teams to integrate analytics into production systems.
  • Provide ongoing insights from partner and provider data that directly impact patient outcomes and business success.
  • Align data infrastructure to be flexible in organization's strategic priorities (i.e., pharma data, Fee-for-service, etc.)
  • Augment analytics processes with AI use cases

WHAT WE ARE LOOKING FOR

  • Experience: You bring 4+ years of experience in data engineering, with a strong technical foundation and track record of building scalable data systems in cloud environments. You've implemented modern data stacks including Snowflake, AWS, dbt, and other best-in-class tools.
  • Healthcare data expertise: You have a deep understanding of healthcare data—particularly claims, EMR, and patient-generated health data—and how to translate it into insights that drive care delivery, cost reduction, and payer-provider alignment. You've worked with actuarial teams or value-based care leaders to model risk, evaluate performance, and inform contract design or shared savings arrangements.
  • Strategic problem-solver: You thrive in ambiguity and are energized by building clarity from complexity. You combine hands-on technical ability with a systems-thinking mindset to design solutions that scale.
  • Collaborative operator: You're a strong communicator and cross-functional partner who can navigate between technical teams and clinical leaders to drive results.
  • Curiosity and innovation: You constantly seek better ways to unlock the value of data. You stay current with emerging tools and methodologies and bring a creative, experimental approach to solving problems.
  • Mission-first: You are driven by a desire to improve the healthcare system and deeply aligned with Daymark's mission to transform cancer care for patients, families, and providers.

Additional Information

The expected compensation for this role is $140,000 to $160,000 annually, depending on location & experience.

This role is remote but candidates must be based in the Northeastern US.