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Contract Data Engineering Jobs in Arizona (NOW HIRING)

Staffingine LLC

Senior GCP Data Engineer

Phoenix, AZ · On-site

$105.20K - $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 ...

InterSources

GCP Data Engineer

Phoenix, AZ · On-site

$113.70K - $136.50K/yr

Contract * A solid experience and understanding of considerations for large-scale solutioning and ... Bachelor's Degree in Computer Science, Information Technology, Engineering, or related field

Concord IT Systems

AWS Data Engineer

Scottsdale, AZ · On-site

$115.80K - $139.10K/yr

Scottsdale, AZ (Onsite) Contract duration (in months): 12 Job Details: * AWS Cloud Watch, Kinesis, RedShift, S3, * Dynamo DB, IAM, RDS SQL Server * Python, Hadoop, Scala Nice to have skills * Java ...

St. George Tanaq Corporation

Senior Data Engineer

Phoenix, AZ · On-site

$105.20K - $143K/yr

This is a fully remote position supporting a federal government contract that requires a federal ... Requirements Required Experience and Skills * 5+ years of experience in data engineering for AI/ML ...

mercury

Contracts Manager

Phoenix, AZ

$83.40K - $111.50K/yr

... Mercury's Data Management and Microelectronics Business Unit providing professional Contract ... Engineering and other functional staff as required. Required Qualifications: * Bachelors in ...

Mercury Systems

Contracts Manager

Phoenix, AZ

$83.40K - $111.50K/yr

... Mercury's Data Management and Microelectronics Business Unit providing professional Contract ... Engineering and other functional staff as required. Required Qualifications: * Bachelors in ...

TekWissen LLC

Software Engineering Lead

Glendale, AZ · On-site

$93/hr

Contract Work Type: Temporary Assignment Description: Summary: We are seeking an experienced and highly skilled Software Engineering Lead to spearhead our data initiatives, with a primary focus on ...

Syntricate Technologies

Data Engineer /Data tester

Tempe, AZ · On-site

$111.40K - $133.80K/yr

... Contract w2 Location- Tempe, AZ JD Minimum Qualifications- Education & Prior Job Experience ... Bachelor's degree in Computer Science, Information Systems, Engineering, Technology, or related ...

Concord IT Systems

GCP Data Engineer

Phoenix, AZ · On-site

$113.70K - $136.50K/yr

Contract Experience : 9 years Job Requirements: * Looking for a Senior Software Engineer with strong analytical skills to help build and enhance our Big data application. * This individual's day-to ...

Staffingine LLC

AI ML Engineer

Phoenix, AZ · On-site

$113.70K - $136.50K/yr

Contract * Programming Languages Python Pandas NumPy Scikitlearn SQL * Statistical Modeling Machine ... Data Engineering ETL processes data wrangling and feature engineering * Insurance Reinsurance ...

Tror AI for everyone

Data Engineer

Scottsdale, AZ · On-site

$115.40K - $138.50K/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 ...

Inficare Technologies

AI Engineer

Phoenix, AZ · On-site

Contract About the Role: We are seeking an experienced Developer / Data Engineer with strong expertise in Python, Generative AI, and Cloud platforms (GCP/AWS). The ideal candidate has hands-on ...

Syntricate Technologies

Big Data Engineer

Phoenix, AZ · On-site

$55.25 - $73.25/hr

Position- Big Data Engineer Duration-Contract Location- Phoenix, AZ JD * Big Data Engineer with MapReduce , spark , hive , sql skillset "Expert in SQL and Data warehousing concepts. Hands -on ...

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Contract Data Engineering information

What are the key skills and qualifications needed to thrive as a Contract Data Engineer, and why are they important?

To thrive as a Contract Data Engineer, you need strong proficiency in data modeling, ETL processes, and programming languages such as Python or SQL, often supported by a degree in computer science or a related field. Familiarity with big data platforms (e.g., Hadoop, Spark), cloud services (AWS, Azure, GCP), and relevant certifications like Google Cloud Professional Data Engineer are typically required. Excellent problem-solving, adaptability, and effective communication are crucial soft skills in this role. These competencies enable efficient project delivery, seamless collaboration with stakeholders, and the ability to quickly adapt to new technical environments and client requirements.

What are some common challenges faced by contract data engineers and how can they be addressed?

Contract data engineers often face the challenge of quickly familiarizing themselves with a company's existing data infrastructure and processes. Since contracts are typically short-term, there is limited time to onboard, understand unique data pipelines, and build relationships with stakeholders. To address this, successful contract data engineers proactively communicate with team members, document their work thoroughly, and leverage their prior experience with a variety of tools and platforms. Flexibility and strong problem-solving skills are essential for adapting to new environments and delivering results efficiently.

What is contract data engineering?

Contract data engineering refers to hiring data engineers on a temporary or project basis, rather than as full-time employees. Contract data engineers are responsible for designing, building, and maintaining data pipelines, databases, and other infrastructure to support data analytics and business needs. Companies often hire contract data engineers to handle specific projects, scale up teams quickly, or bring in specialized skills for a limited time. This arrangement offers flexibility for both the company and the engineer, and is common in industries with fluctuating data workloads or short-term projects.

What is the difference between Contract Data Engineering vs Data Analyst?

AspectContract Data EngineeringData Analyst
Required SkillsSQL, Python, ETL, cloud platforms, data pipeline developmentSQL, Excel, data visualization, reporting tools
Work EnvironmentProject-based, technical teams, cloud or on-premises infrastructureBusiness units, reporting teams, often in office or remote
Industry UsageTech, finance, healthcare, retailMarketing, finance, healthcare, retail

Contract Data Engineers focus on building and maintaining data pipelines and infrastructure, requiring technical skills in programming and cloud platforms. Data Analysts interpret data, create reports, and visualize insights, often using different tools. While both roles work with data, Contract Data Engineering is more technical and infrastructure-oriented, whereas Data Analysts focus on data interpretation and business insights.

What are the most commonly searched types of Data Engineering jobs in Arizona? The most popular types of Data Engineering jobs in Arizona are:
What are popular job titles related to Contract Data Engineering jobs in Arizona? For Contract Data Engineering jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Contract Data Engineering jobs in Arizona look for? The top searched job categories for Contract Data Engineering jobs in Arizona are:
What cities in Arizona are hiring for Contract Data Engineering jobs? Cities in Arizona with the most Contract Data Engineering job openings:
Contract Data Engineering jobs near you
Senior GCP Data Engineer

Senior GCP Data Engineer

Staffingine LLC

Phoenix, AZ • On-site

$105.20K - $143K/yr

Contractor

Posted 4 days ago

Job description

Job Title: Senior GCP Data Engineer
Job Location: Phoenix, AZ
Job Type: Contract

Job Description:

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 integrations ensuring security and scalability

Data Processing & Transformation

  • Perform complex data transformations using BigQuery (advanced SQL)
  • Implement data enrichment, aggregation, and transformation logic
  • Handle encryption/decryption within data workflows

Workflow Orchestration

  • Develop and manage Airflow DAGs via Cloud Composer
  • Orchestrate batch and streaming pipelines with dependency handling
  • Monitor, troubleshoot, and optimize workflows

Real-Time Processing

  • Build low-latency streaming solutions using Dataflow + Pub/Sub
  • Manage error handling, retries, late-arriving data, and idempotency

Integration & Collaboration

  • Integrate pipelines with marketing and analytics platforms
  • Work with cross-functional teams to deliver data-driven solutions

Required Skills

GCP Stack

  • Dataflow (Apache Beam) – batch & streaming
  • Pub/Sub – real-time messaging
  • BigQuery – advanced SQL & performance tuning
  • Cloud Composer (Airflow) – orchestration

Technical Skills

  • Python (advanced) – pipeline development & Airflow DAGs
  • SQL (advanced) – joins, window functions, large-scale analytics

Core Concepts

  • Event-driven architecture
  • Streaming data processing (exactly-once / at-least-once)
  • Error handling and replay strategies

Preferred Skills

  • Experience with marketing data platforms / customer data models
  • Exposure to data security, encryption, and compliance
  • Experience in multi-project GCP environments
  • Familiarity with CI/CD for data pipelines