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Weekend Data Engineer Contract Jobs in Phoenix, AZ

Intraedge

Data Engineers with Lumi

Phoenix, AZ · On-site

$113K - $136K/yr

... contract Phoenix, AZ (F2F interview is mandatory) Direct client - Immediate client interview We are looking for 2 highly skilled Data Engineer with a solid experience of building Bigdata, Google ...

RIT Solutions, Inc.

AWS data engineer

Chandler, AZ · On-site

$63.50 - $83.50/hr

RIT Solutions, Inc. is seeking an AWS Data Engineer for a contract position. The role involves utilizing AWS services and data engineering skills to manage and process data effectively.

Staffingine LLC

Senior GCP Data Engineer

Phoenix, AZ · On-site

$105K - $143K/yr

Contract Data Engineering & Pipelines * Design and develop batch and streaming pipelines using Dataflow (Apache Beam) * Build real-time data pipelines using Pub/Sub * Develop cross-project data ...

TEKsystems

Jr-Mid Level GCP Data Engineer

Phoenix, AZ · Hybrid

$38 - $40/hr

Jr-Mid Level GCP DATA ENGINEER W2 ONLY - Cannot do C2C or provide sponsorship HYBRID IN PHOENIX, AZ ... This is a Contract position based out of Phoenix, AZ. Pay and Benefits The pay range for this ...

TEKsystems

Jr-Mid Level GCP Data Engineer

Phoenix, AZ · Hybrid

$38 - $40/hr

Jr-Mid Level GCP DATA ENGINEER W2 ONLY - Cannot do C2C or provide sponsorship HYBRID IN PHOENIX, AZ ... This is a Contract position based out of Phoenix, AZ. Pay and Benefits The pay range for this ...

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Showing results 21-40

All JobsData Engineer Contract JobsWeekend Data Engineer Contract JobsWeekend Data Engineer Contract Jobs in Phoenix, AZ

Weekend Data Engineer Contract information

See Phoenix, AZ salary details

$44.2K

$128.8K

$176.2K

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

As of Sep 2, 2026, the average yearly pay for weekend data engineer contract in Phoenix, AZ is $128,797.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,700.00 and $136,500.00 per year, depending on experience, location, and employer.

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 Phoenix, AZ?

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

What job categories do people searching Weekend Data Engineer Contract jobs in Phoenix, AZ look for?

The top searched job categories for Weekend Data Engineer Contract jobs in Phoenix, AZ are:

What cities near Phoenix, AZ are hiring for Weekend Data Engineer Contract jobs?

Cities near Phoenix, AZ 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 Phoenix, AZ as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $128,797 per year, or $61.9 per hour.

Data Engineer Databricks, Python, and SQL

Samprasoft

Scottsdale, AZ • On-site

$115K - $139K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Data Engineer

Develop data pipelines to ingest, load, and transform data from multiple sources.

Leverage Data Platform, running on Google Cloud, to design, optimize, deploy and deliver data solutions in support of scientific discovery

Use programming languages like Java, Scala, Python and Open-Source RDBMS and NoSQL databases and Cloud based data store services such as MongoDB, DynamoDB, Elasticache, and Snowflake

The continuous delivery of technology solutions from product roadmaps adopting Agile and DevOps principles

Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences

Design and develop data pipelines, including Extract, Transform, Load (ETL) programs to extract data from various sources and transform the data to fit the target model

Test and deploy data pipelines to ensure compliance with data governance and security policies

Moving implementation to ownership of real-time and batch processing and data governance and policies

Maintain and enforce the business contracts on how data should be represented and stored

Ensures that technical delivery is fully compliant with Security, Quality and Regulatory standards

Keeps relevant technical documentation up to date in support of the lifecycle plan for audits/reviews.

Pro-actively engages in experimentation and innovation to drive relentless improvement e.g., new data engineering tools/frameworks

Implementing ETL processes, moving data between systems including S3, Snowflake, Kafka, and Spark

Work closely with our Data Scientists, SREs, and Product Managers to ensure software is high quality and meets user requirements

Required Qualifications

  • Bachelor's or Master's degree in Computer Science, Engineering, or related field.
  • 5+ years of experience as a data engineer building ETL/ELT data pipelines.
  • Experience with data engineering best practices for the full software development life cycle, including coding standards, code reviews, source control management (GIT, continuous integrations, testing, and operations)
  • Experience in programming language Python and SQL good to have Java, C#, C++, Go, Ruby, and Rust
  • Experience with Agile, DevOps & Automation [of testing, build, deployment, CI/CD, etc.], Airflow
  • Experience with Docker, Kubernetes, Shell Scripting
  • 2+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud)
  • 3+ years experience with distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL)
  • 2+ years experience working on real-time data and streaming applications
  • 2+ years of experience with NoSQL implementations (DynamoDB, MongoDB, Redis, Elasticache)
  • 2+ years of data warehousing experience (Redshift, Snowflake, Databricks, etc.

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