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Weekend Data Engineer Contract Jobs (NOW HIRING)

Data Engineer (Contract)

Charleston, SC ยท On-site +1

$107.20K - $128.70K/yr

Overview We are seeking a highly experienced Data Engineer to support a fast-growing eCommerce brand operating within a modern, warehouse-first data architecture. This is a project-based, on-demand ...

Data Engineer (Contract)

Charleston, SC ยท Remote

$117.20K - $140.70K/yr

Overview We are seeking a highly experienced Data Engineer to support a fast-growing eCommerce brand operating within a modern, warehouse-first data architecture. This is a project-based, on-demand ...

Azure Data Engineer - MS Fabric

Fremont, CA ยท Hybrid

$125.30K - $150.50K/yr

Senior/Lead Data Engineer (Contract | Fremont, CA Hybrid) Duration: 12 Months Contract Work Model: Hybrid (3 days onsite per week) We are looking for a Senior/Lead Data Engineer to drive large-scale ...

Azure Data Engineer

Cincinnati, OH ยท On-site

$111.70K - $134.20K/yr

Data Engineer Contract: 12 Months (potential for conversion/extension) Job Location: Cincinnati, OH (3 days' on-site required) Note: Relocation will work for this role. Candidate have to relocate at ...

OR

$114.40K - $137.40K/yr

We are seeking a Looker Data Engineer for a project-based assignment to support a key client ... Contract * Applicants must be authorized to work for ANY employer in the U.S. We are unable to ...

Senior data Engineer

Manhattan, NY

$116.90K - $158.70K/yr

Senior Data Engineer Contract Colombus OH or New York city, NY onsite Financial exp is preferred 12+ years of experience must with basic Spark and extensive PySpark is fine for these roles.

New

java data engineer

$53 - $72.75/hr

Java Data Engineer Contract Hybrid in Pittsburgh Or West coast or NYC OR Remote Requirements: * 7-10 years of experience in Java * Experience in ETL Processes * Experience in data warehousing, data ...

Data Engineer (Contract) (Remote)

Manhattan, NY ยท Remote

$126.20K - $151.60K/yr

We are seeking a skilled Data Engineer to join our dynamic team. This role involves developing and optimizing data pipelines, implementing big data solutions, and contributing to our advanced cloud ...

Sr Data Engineer

Fremont, CA ยท On-site

$146.80K - $176.30K/yr

Sr Data Engineer - Contract (W2 Only) - 3 days Hybrid (Fremont, CA) **You must be a local to the Bay Area or willing to relocate from day one.** Required Skills: * Minimum 5 years of experience in ...

Data Engineer

Charlotte, NC ยท On-site

$111.80K - $134.30K/yr

Data Engineer Contract: Ongoing contract (up to 24 months) Location: Charlotte NC Onsite / Hybrid / Remote: Hybrid- 3 days onsite Interview Process: 2 rounds (virtual)- 1st is 30 minute technical ...

We are seeking a Looker Data Engineer for a project-based assignment to support a key client ... Contract * Applicants must be authorized to work for ANY employer in the U.S. We are unable to ...

Data Engineer

Foster City, CA ยท On-site

$133.50K - $160.30K/yr

AV Safety Data Engineer (Contract) The Safety Strategy & Operations team is responsible for developing and implementing safety processes from comprehensive safety planning and risk management to ...

Data Engineer

Foster City, CA

$133.50K - $160.30K/yr

AV Safety Data Engineer (Contract) The Safety Strategy & Operations team is responsible for developing and implementing safety processes from comprehensive safety planning and risk management to ...

Data Engineer

Foster City, CA ยท On-site

$133.50K - $160.30K/yr

AV Safety Data Engineer (Contract) The Safety Strategy Operations team is responsible for developing and implementing safety processes from comprehensive safety planning and risk management to ...

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Weekend Data Engineer Contract information

See salary details

$44.5K

$129.7K

$177.5K

How much do weekend data engineer contract jobs pay per year?

As of May 30, 2026, the average yearly pay for weekend data engineer contract in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

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.

More about Weekend Data Engineer Contract jobs
What cities are hiring for Weekend Data Engineer Contract jobs? Cities with the most Weekend Data Engineer Contract job openings:
What are the most commonly searched types of Weekend Data Engineer jobs? The most popular types of Weekend Data Engineer jobs are:
What states have the most Weekend Data Engineer Contract jobs? States with the most job openings for Weekend Data Engineer Contract jobs include:

Data Engineer (Contract)

Anatta Design

Charleston, SC โ€ข On-site, Remote

$107.20K - $128.70K/yr

Contractor

Posted 4 days ago


Job description

Overview
We are seeking a highly experienced Data Engineer to support a fast-growing eCommerce brand operating within a modern, warehouse-first data architecture. This is a project-based, on-demand engagement for a senior-level professional who can design, build, and optimize scalable data infrastructure across analytics, marketing, and operational workflows.
The ideal candidate has deep expertise in BigQuery, dbt, and Looker, with hands-on experience modeling complex eCommerce data from platforms such as Shopify, Klaviyo, subscription systems (e.g., Loop), and 3PL providers
Key Responsibilities
โ€ข Design, build, and maintain scalable data pipelines using BigQuery and dbt
โ€ข Architect and optimize warehouse-first data models to support analytics, marketing, and operational reporting
โ€ข Develop and maintain Looker dashboards and semantic layers
โ€ข Integrate and transform data from Shopify, Klaviyo, Loop (subscriptions/returns) and 3PL systems (e.g., ShipHero, ShipBob, etc.)
โ€ข Build automated workflows for data ingestion, validation, and monitoring
โ€ข Implement best practices for data quality, governance, and documentation
โ€ข Leverage AI tools (LLMs, automation frameworks) to:
  1. Accelerate data transformation workflows
  2. Refactor and optimize SQL/dbt models
  3. Automate anomaly detection and QA processes
โ€ข Collaborate with analytics, product, and marketing teams to translate business requirements into scalable data solutions
โ€ข Troubleshoot data discrepancies and provide root-cause analysis
โ€ข Recommend architectural improvements to improve performance, reliability, and scalability
Service Level Agreements (SLAs)
  • Response Time: Acknowledge requests within 24 hours
  • Critical Issues (P0): Immediate response and active resolution
  • Standard Requests: Timeline provided within 72 hours
  • Billing Model: Time & materials based on agreed scope and hours worked
Requirements
โ€ข 5+ years experience in data engineering within a modern cloud data stack
โ€ข Advanced experience with BigQuery, Dbt, SQL performance optimization
โ€ข Experience building and maintaining Looker dashboards and data models
โ€ข Strong understanding of:
  1. eCommerce metrics (AOV, LTV, churn, CAC, retention)
  2. Marketing attribution
  3. Subscription data structures
โ€ข Experience integrating and modeling data from (not exactly similar software would work) Klaviyo, Loop or similar subscription platforms, Shopify 3PL systems
โ€ข Experience implementing data quality checks and validation pipelines
โ€ข Strong written and verbal communication skills
โ€ข Ability to work independently with minimal oversight
Preferred Qualifications
  • Experience working with distributed or agency environments
  • Experience supporting DTC brands
  • Experience with marketing data pipelines (Google Ads, Meta, TikTok)
  • Experience building reverse ETL workflows
  • Familiarity with data ingestion tools (Fivetran, Daton, Airbyte, etc.)
  • Experience implementing AI-assisted data transformation workflows
  • Exposure to experimentation analytics (A/B testing frameworks)
Ideal Candidate Profile
We are looking for someone who:
  • Understands both technical architecture and business implications
  • Can move quickly in a project-based environment
  • Thinks in systems, not just SQL queries
  • Is comfortable leveraging AI tools to improve speed and efficiency
  • Has experience working across marketing, product, and operations data
The duties and responsibilities described here are not a comprehensive list and the scope of the job may change as necessitated by business demands. Anatta Design reserves the right to revise the job description as circumstances warrant.
Compensation Transparency & Pay Philosophy
At Anatta Design, we believe in fair and competitive compensation based on location. We post salary ranges in compliance with state requirements for U.S.-based roles, ensuring transparency for candidates in those regions. If you are applying from outside the U.S., please note that our pay scales are adjusted based on the cost of living and market conditions in each country.