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Weekend Data Engineer Contract Jobs in Delaware (NOW HIRING)

Sr. Data Engineer

Wilmington, DE

$102K - $139K/yr

This is a contract-to-hire opportunity offering the chance to work on critical data initiatives ... Collaborate cross-functionally with engineering, analytics, and business teams * Ensure data ...

Big Data Developer

Wilmington, DE · On-site

$51.50 - $66.75/hr

Wilmington, DE Duration: 6+ Months Contract Only US Citizens and GC holders Only !! Location For INTERVIEW: Princeton, NJ (In-person interview) Qualifications Must have experience with development ...

Process Improvement, Data Integrity, and Reporting • Develop and implement Procurement process ... Minimum Qualifications • Bachelor's degree in Procurement, Supply Chain Management, Engineering ...

... administration, contract lifecycle from review to execution, compliance and negotiation for ... The role also supports data analysis and manipulation, FAR/DFARs/CFR compliance, representations ...

Contracts Manager

Hockessin, DE

$88K - $118K/yr

... award management, contract lifecycle from review to execution, compliance and negotiation for ... The role also supports data analysis and manipulation, FAR/DFARs/CFR compliance, representations ...

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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 popular job titles related to Weekend Data Engineer Contract jobs in Delaware? For Weekend Data Engineer Contract jobs in Delaware, the most frequently searched job titles are:
What job categories do people searching Weekend Data Engineer Contract jobs in Delaware look for? The top searched job categories for Weekend Data Engineer Contract jobs in Delaware are:
What cities in Delaware are hiring for Weekend Data Engineer Contract jobs? Cities in Delaware with the most Weekend Data Engineer Contract job openings:
Data Engineer Junior

$50 - $60/hr

Other

Posted 19 days ago


Job description

Location: Wilmington, DE Salary: $50.00 USD Hourly - $60.00 USD Hourly Description:
Role: Junior Data Engineer
Location: Wilmington, DE (Hybrid - 3 days onsite)
Duration: 6+ month contract (with potential extension)
Interview Process
Round 1: Virtual interview (Zoom)
Round 2: In-person interview (for local candidates)
Includes a coding/scripting assessment
About the Role
We are seeking a Junior Data Engineer to support the development and optimization of scalable data pipelines in a cloud-based environment. The role focuses on hands-on ETL development, big data processing, and contributing to critical initiatives such as Databricks migration and fraud analytics.
Key Responsibilities
  • Design, build, and maintain scalable ETL and streaming data pipelines.
  • Develop data processing solutions using Spark (PySpark or Java).
  • Work with AWS cloud services (EMR, Lambda, S3, RDS) for data ingestion and processing.
  • Collaborate with cross-functional teams to support fraud analysis and generate actionable insights for strategy teams.
  • Contribute to Databricks migration initiatives and optimize existing workflows.
  • Perform hands-on data engineering tasks including scripting, debugging, and pipeline enhancements.

Minimum Qualifications (Must Have)
  • 3+ years of hands-on experience in data engineering or related field.
  • Strong experience with Spark (PySpark preferred) and ETL/streaming pipeline development.
  • Proficiency in Python (preferred) or Java.
  • Experience with AWS cloud services such as EMR, S3, Lambda, and RDS.
  • Hands-on experience with Databricks.
  • Solid understanding of data pipelines and distributed data processing.

Preferred Qualifications (Nice to Have)
  • Experience with Airflow for workflow orchestration.
  • Proficiency in UNIX/Linux and Shell scripting.
  • Experience using Terraform for infrastructure as code.
  • Exposure to machine learning or Large Language Models (LLMs) and related use cases.

Basic Requirements
Bachelor's degree in Computer Science, Engineering, Mathematics, or a related technical field.
Formal training or certification in software engineering concepts.
What We're Looking For
Strong problem-solving skills and attention to detail
Hands-on experience with ETL and big data workflows
Ability to work in a fast-paced, collaborative environment
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