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Weekend Data Engineer Contract Jobs in Delaware (NOW HIRING)

Lead the standardization data definitions and support data architects and data engineers to ... Manage vendor relationships and negotiate contracts for data platforms and services. IoT Solution ...

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 · On-site

$88.90K - $118.90K/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 ...

Contract Sr. Frontend Engineer

New Castle, DE · Hybrid

$118.40K - $162.90K/yr

... contract position (Requiring on-site for three days a week) Responsibilities As a Software Engineer ... User interface, Data analysis, Instrument control software for thermal analysis, rheological, and ...

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Weekend Data Engineer Contract information

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 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 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 (PySpark / AWS)

Purple Drive Technologies

Wilmington, DE • On-site

$111.10K - $133.40K/yr

Full-time

Posted 21 days ago


Job description

Overview:
Title: Data Engineer (PySpark / AWS)
Location: Wilmington, DE - Onsite
Type: Contract
Job Overview
We are seeking a highly skilled Data Engineer with strong expertise in PySpark, ETL pipelines, and AWS services to join our onsite team in Wilmington, DE. The role requires hands-on experience in designing, developing, and maintaining large-scale data processing solutions, while collaborating with cross-functional teams to deliver high-quality, scalable data systems.
Key Responsibilities
  • Design, build, and optimize ETL and streaming data pipelines using PySpark.
  • Leverage AWS services (SQS, Lambda, S3, RDS) to implement scalable and secure data solutions.
  • Develop and maintain clean, efficient, and reusable code in Python and other programming languages.
  • Collaborate with business and technical stakeholders to translate requirements into data engineering solutions.
  • Ensure data integrity, governance, and compliance across all platforms.
  • Conduct performance tuning, troubleshooting, and optimization of data pipelines.
  • Document processes, workflows, and best practices for continuous improvement.
Must-Have Skills
  • Extensive hands-on experience with PySpark and ETL/Streaming Pipelines.
  • Strong knowledge of AWS services (SQS, Lambda, S3, RDS).
  • Advanced proficiency in at least one programming language (Python preferred).
Preferred Skills
  • Proficiency with Alteryx, Tableau, ThoughtSpot, and SQL.
  • Deep understanding of advanced AWS concepts (Glue, EMR).
  • Practical cloud-native development experience.
Good to Have
  • Experience with Shell scripting and Unix systems.
  • Proficiency in Terraform for infrastructure as code.
  • Familiarity with Large Language Models (LLM), including practical use case development with OpenAI Azure.
Experience & Qualifications
  • 5+ years of applied experience in data engineering or software development.
  • Formal training or certification in software engineering concepts.
  • Bachelor's or Master's degree in Computer Science, Computer Engineering, Mathematics, or a related technical field.