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Weekend Data Engineer Contract Jobs in New Jersey

Amiga Informatics

JAva big data engineer

Jersey City, NJ

$54.75 - $70.75/hr

Java Bigdata Developer Location: Jersey City NJ Duration: 6+ months Client:: JPMC The Skills to be ... Candidates who had worked in reputed (Tier 1/ Tier 2 companies) who are currently doing contract ...

Amiga Informatics

JAva big data engineer

Jersey City, NJ · On-site

$54.75 - $70.75/hr

Java Bigdata Developer Location: Jersey City NJ Duration: 6+ months Client:: JPMC The Skills to be ... Candidates who had worked in reputed (Tier 1/ Tier 2 companies) who are currently doing contract ...

Tror AI for everyone

Azure Databricks Engineer

Iselin, NJ · On-site

$61 - $79.25/hr

Contract Must have: Databricks, Pyspark, Azure Cloud Services, Asset Bundle Technical Skills ... Data Pipeline Development: * Build and maintain scalable ETL/ELT pipelines using Databricks.

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All JobsData Engineer Contract JobsWeekend Data Engineer Contract JobsWeekend Data Engineer Contract Jobs in New Jersey

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 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 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 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 New Jersey?

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

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

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

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

Cities in New Jersey 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 New Jersey as of June 2026, with employment types broken down into 1% As Needed, 70% Full Time, 26% Part Time, and 3% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

Senior AWS Data Engineer/Architect.

Accord Technologies Inc.

Piscataway, NJ • On-site

$68.50 - $91.75/hr

Contractor

Re-posted 26 days ago

Job description

Role: Senior AWS Data Engineer/Architect.
Location: Piscatway, NJ (Day 1 onsite Hybrid)
Position type: W2 contract

 About the Role

  You will design and build scalable data pipelines on AWS, integrating multiple data sources (telephony, CRM, LLM outputs) into a unified analytics platform serving business analysts and operational reporting teams.

 Job Description: 

   - Architect and implement cloud-native data pipelines on AWS

  - Build serverless compute layers using Lambda, Step Functions, and Airflow

  - Design data lake storage strategies using S3, Glue, Athena, and Redshift

  - Integrate real-time data streams via Kinesis and SQS

  - Collaborate with business analysts to translate reporting requirements into schema and pipeline design

  - Own data quality, pipeline monitoring, and alerting via CloudWatch

  - Lead schema design for Athena and Postgres tables — DDL, partitioning, indexing

  - Evaluate and integrate AI/ML services — Bedrock, Comprehend, Transcribe

  - Document architecture decisions and maintain runbooks

  Must Have

   - overall 10 to 15+ with 6+ years AWS data engineering experience

  - Expert Python — data transformation, boto3, async processing

  - Deep knowledge of: S3, Lambda, SQS, Kinesis, Step Functions, EventBridge, DynamoDB, Glue, Athena, Redshift, Airflow

  - Airflow — production DAG development and debugging

  - SQL — complex queries, window functions, partitioning, performance tuning

  - IAM — roles, policies, cross-account access, permissions boundaries

  - Experience designing event-driven, serverless architectures at scale

  - Strong understanding of data lake patterns — partitioning, file formats, crawlers

  Nice to Have

   - Amazon Connect / telephony platform experience

  - LLM integration — prompt engineering, Bedrock, API gateway patterns

  - Amazon Transcribe / Call Analytics

  - Terraform / CloudFormation

  - QuickSight dashboarding

  - Multi-account AWS organisation management