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Weekend Data Engineer Jobs in Arizona (NOW HIRING)

Data Engineer

Phoenix, AZ · On-site

$50 - $55/hr

A client of Innova Solutions is immediately hiring for a Data Engineer Job Type: Full-Time / Contract (W2) Duration: 12+ Months (Possible extension) Location: Chandler, AZ / Charlotte, NC ...

Data Engineer

Phoenix, AZ

$108K - $130K/yr

The Data Engineer plays a critical role in designing, building, and maintaining the enterprise data infrastructure that powers clinical, operational, and strategic decision-making across Mountain ...

Data Engineer

Phoenix, AZ

$108K - $130K/yr

The Data Engineer plays a critical role in designing, building, and maintaining the enterprise data infrastructure that powers clinical, operational, and strategic decision-making across Mountain ...

Data Engineer

Phoenix, AZ · On-site

$108K - $130K/yr

Description The Data Engineer plays a critical role in designing, building, and maintaining the enterprise data infrastructure that powers clinical, operational, and strategic decision-making across ...

Data Engineer

Phoenix, AZ · On-site

$108K - $130K/yr

Description The Data Engineer plays a critical role in designing, building, and maintaining the enterprise data infrastructure that powers clinical, operational, and strategic decision-making across ...

Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

We are looking for a passionate certified Data Engineer. The successful candidate will turn data into information, information into insight and insight into business decisions. Data analyst ...

Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

As a Data Engineer at Crescent Electric Supply, you will be responsible for the architecture, development, and management of Crescent's data pipelines, enabling reliable analytics and downstream ...

Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

· 8+ years of experience in Data Engineering and data pipeline development. · Strong hands-on experience with Snowflake for cloud data warehousing. · Strong experience with dbt (Data Build Tool ...

Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Data Engineer Location: Phoenix, AZ(Hybrid) Job Type: FTE Key Responsibilities Data Platform & Pipeline Development * Design, develop, and maintain cloud-native data pipelines using Databricks ...

Data Engineer

Phoenix, AZ · On-site

$40 - $42/hr

A client of Innova Solutions is immediately hiring for a Data Engineer position Position type: Fulltime, Contract Duration: 12 months Location: Charlotte, NC/ Irving, TX/ Phoenix, AZ/ Minneapolis, MN ...

GCP Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

GCP Data Engineer Location: Phoenix, AZ Job Type: Contract (Long Term) Experience: Senior Level Job Overview Our client is seeking a Senior GCP Data Engineer to join their growing data team in ...

Data Engineer

Tempe, AZ · On-site

$109K - $131K/yr

As an experienced Data Engineer you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. If so, consider an opportunity with ...

Data Engineer

Scottsdale, AZ · On-site

$115K - $138K/yr

Job Title: - Data Engineer Location: - Scottsdale AZ (Day 1 Onsite) Job Type: - Contract ***Note: Need 12+ years of experience resumes*** Must have: * Strong Experience in Scala, Spark, hive SQL ...

GCP Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Role GCP Data Engineer Location Phoenix, AZ Duration: 12+ Months Skills: * Years of experience : 5-7 years * GCP Cloud : GCS, DataProc, BigQuery, Composer/Airflow * Big Data: PySpark * Spark, Python ...

Data Engineer Manager

Globe, AZ

$108K - $130K/yr

The Data Engineering Manager is responsible for the designing, building, and maintaining automated data pipelines across multi-platform environments. This role ensures the integration, storage, and ...

GCP Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Role - GCP Data Engineer Location - Phoenix, AZ Duration: 12+ Months Skills: * Years of experience : 5-7 years * GCP Cloud : GCS, DataProc, BigQuery, Composer/Airflow * Big Data: PySpark * Spark ...

GCP Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Role - GCP Data Engineer Location - Phoenix, AZ Duration: 12+ Months Skills: * Years of experience : 5-7 years * GCP Cloud : GCS, DataProc, BigQuery, Composer/Airflow * Big Data: PySpark * Spark ...

Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Job Summary The Data Engineer will be responsible for design and development of ETL. The role will cover full systems development life cycle (SDLC) phases including requirements gathering, data ...

Data Engineer

Tempe, AZ · On-site

$111K - $133K/yr

They are seeking a Data Engineer to build infrastructure and tools for data collection and processing, enabling data access for various use cases and supporting the growth of the company.

Showing results 21-40

Weekend Data Engineer information

What is a weekend data engineer?

Weekend Data Engineers are professionals who work primarily on weekends to design, build, and maintain data systems and pipelines. Their responsibilities may include ensuring data flows smoothly between systems, managing databases, and supporting data analytics tasks during off-peak hours. This role is ideal for organizations that need data engineering support outside of standard business hours, such as companies with continuous operations or those processing large volumes of data over weekends. Weekend Data Engineers often collaborate remotely and may be part-time or contract workers.

What are the key skills and qualifications needed to thrive as a weekend data engineer?

To thrive as a Weekend Data Engineer, you need strong proficiency in data modeling, SQL, ETL processes, and programming languages like Python or Scala, typically supported by a degree in computer science or a related field. Familiarity with cloud platforms (such as AWS or Azure), data warehouse systems (like Redshift or Snowflake), and relevant certifications are often required. Excellent problem-solving, attention to detail, and the ability to work independently during off-hours are standout soft skills. These skills and qualities are crucial for maintaining reliable data pipelines, troubleshooting issues efficiently, and ensuring uninterrupted data services during weekend operations.

What are the typical expectations and work patterns for a weekend data engineer?

As a Weekend Data Engineer, you’ll generally be responsible for maintaining, optimizing, and troubleshooting data pipelines and infrastructure during the weekend hours when production systems still require support. This role often involves monitoring data flows, addressing urgent issues, and ensuring data availability for business needs that operate on a 24/7 basis. You may collaborate remotely with on-call team members or communicate hand-offs to weekday staff, so strong documentation and clear communication are key. Weekend shifts can offer flexibility but may also require independent problem-solving, as fewer team members are available for immediate support.

What is the difference between Weekend Data Engineer vs Part-Time Data Analyst?

AspectWeekend Data EngineerPart-Time Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related field; experience with data pipelinesBachelor's in related field; skills in data analysis and visualization
Work EnvironmentTech companies, data-driven organizations, remote or on-siteBusiness, marketing, or finance sectors; often remote or part-time
Employer & Industry UsageUsed in industries needing weekend data processing or maintenanceUsed in roles requiring part-time data insights and reporting

The Weekend Data Engineer focuses on building and maintaining data pipelines during weekends, often requiring technical skills and experience with data infrastructure. In contrast, a Part-Time Data Analyst primarily interprets data, creates reports, and provides insights on a flexible schedule. Both roles are suitable for flexible work arrangements but serve different functions within data teams.

What are the most commonly searched types of Data Engineer jobs in Arizona?

The most popular types of Data Engineer jobs in Arizona are:

What job categories do people searching Weekend Data Engineer jobs in Arizona look for?

The top searched job categories for Weekend Data Engineer jobs in Arizona are:

Infographic showing various Weekend Data Engineer job openings in Arizona as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 14% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution.

Sr. Data Engineer (Snowflake)

Data Ideology, LLC

Snowflake, AZ • On-site

$100 - $125/hr

Other

Medical, Dental, Vision, Retirement

Posted 5 days ago


Key responsibilities

  • Design and build scalable, secure, and cost‑effective data solutions in Snowflake.

  • Develop and optimize data pipelines using tools such as dbt, Python, CloverDX, and cloud‑native services.

  • Participate in discovery sessions with clients to gather requirements and translate them into solution designs and project plans.


Job description

Data Ideology

At DI, we provide Data & Analytics expertise to drive measurable business outcomes, often solving complex business problems for our clients. Our data analytics advisory services enable our customers to transform data into insights by driving a culture of empowerment and ownership of results. Our team consists of highly motivated individuals who are passionate about learning, understanding, collaborating, and who are intellectually curious.

For more information about Data Ideology, visit www.dataideology.com.

Sr. Data Engineer - (Snowflake)

Data Ideology is seeking a Sr. Snowflake Data Engineer to join our growing team in a client‑facing, consultative role that blends solution design with hands‑on delivery. You will work directly with clients and our internal teams to design, implement, and optimize modern data platforms in Snowflake.

This role is ideal for experienced data engineers who want to expand their impact by engaging with clients early in the process to understand requirements, shape solutions, and then lead the delivery of high‑quality implementations. While you will occasionally support the scoping of new projects, this is not a sales role — your primary focus will be on technical execution, solution architecture, and delivery leadership.

Responsibilities
  • Design and build scalable, secure, and cost‑effective data solutions in Snowflake.
  • Develop and optimize data pipelines using tools such as dbt, Python, CloverDX, and cloud‑native services.
  • Participate in discovery sessions with clients to gather requirements and translate them into solution designs and project plans.
  • Collaborate with engagement managers and account teams to help scope work and provide technical input for Statements of Work (SOWs).
  • Serve as a Snowflake subject matter expert, guiding best practices in performance tuning, cost optimization, access control, and workload management.
  • Lead modernization and migration initiatives to move clients from legacy systems into Snowflake.
  • Integrate Snowflake with BI tools, governance platforms, and AI/ML frameworks.
  • Contribute to internal accelerators, frameworks, and proofs of concept.
  • Mentor junior engineers and support knowledge sharing across the team.

Supervisory Responsibilities: None

Qualifications

Education and Experience:

  • 7+ years of experience in data engineering, data warehousing, or data architecture.
  • 3+ years of hands‑on Snowflake experience (performance tuning, data sharing, Snowpark, Snowpipe, etc.).
  • Strong SQL and Python skills, with production experience using dbt.
  • Familiarity with cloud platforms (AWS, Azure, or GCP) and modern data tooling (Airflow, Fivetran, Power BI, Looker, Informatica, etc.).
  • Prior experience in a consulting or client‑facing delivery role.
  • Excellent communication skills, with the ability to collaborate across technical and business stakeholders.
  • Preferred - SnowPro Certification
Work Environment
  • Remote work from home.
  • Hours of work and days are generally Monday through Friday. Specific business hours will depend on client needs.
Physical Demands
  • Must be able to remain in a stationary position 50% of the time.
  • The person in this position must occasionally move about inside the office to access file cabinets, library stacks, office machinery, etc.
  • Constantly operates a computer and other office productivity machinery, such as a calculator, copy machine, and printer.
  • The person in this position frequently communicates with clients and coworkers. Must be able to exchange accurate information in these situations.
Benefits
  • Eligible for Medical, Dental, Vision, 401(k), training and certification reimbursement, and flexible time off in accordance with company policies.

Data Ideology is an EEO Employer

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