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Contract Data Engineering Jobs in Arizona (NOW HIRING)

Phoenix Staff

Lead Data & AI Engineer

Phoenix, AZ · On-site +1

$50 - $60/hr

Phoenix, AZ (hybrid remote) Type: 6-month contract to hire Pay: $50-60/hr We're looking for a Lead Data & AI Engineer to lead the design and delivery of secure, scalable data and AI solutions within ...

Staffingine LLC

AI ML Engineer

Phoenix, AZ · On-site

$113K - $136K/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

$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 ...

Navtech, Inc.

Big Data Engineer with Java

Phoenix, AZ · On-site

$54.25 - $71.75/hr

Remote Duration: 12 Months Contract Qualifications: * Bachelor's Degree in a Technical Discipline or equivalent work experience * Must have experience with Big Data toolsets: Hadoop echo system ...

Ascend Learning

Director Data & AI

Gilbert, AZ · On-site +1

Lead and develop the Data and AI team, including a Data Architect, Data Architects and AI/ML Engineer. * Own NASM's Snowflake estate, including the data model, data contracts with source systems ...

Staffingine LLC

Adobe AEP engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Contract * Adobe Experience Platform AEP RTCDP Proficiency in configuring and managing the core ... Data Engineering * Experience in designing and building Data Warehouse and Data lakes good ...

IDEALFORCE LLC

Data Developer/SR (28045)

Phoenix, AZ · On-site

Company Description IDEALFORCE have a Contract position available immediately for a Data Developer/SR to join our customer in Phoenix Arizona .. This is an ONSITE position. Please find below ...

IDEALFORCE LLC

Data Developer/Sr (31086)

Phoenix, AZ

Company Description IDEALFORCE has multiple CONTRACT-TO-HIRE positions available immediately for Sr ... The developer will be responsible for the implementation of both transactional data (OLTP) and OLAP ...

Lorven Technologies

TPM with Product Owner

Phoenix, AZ · On-site

Pheonix, Az (Hybrid) Duration: 12 Months Contract Overview : We are looking for a strong Product ... Partner closely with engineering, data, and business stakeholders. * Champion Agile delivery ...

American Express

Data Engineer I

Phoenix, AZ · On-site

$78K - $124K/yr

... the broader engineering community through open source, our mission is to power your success ... Partner with stakeholders to define data contracts, schemas, and standards across domains * Enable ...

New

Randstad Digital

Software Engineer

Phoenix, AZ · On-site

$64.53 - $69.53/hr

Contract salary: $64.53 - 69.53 per hour work hours: 8am to 5pm education: Bachelors ... data engineering including hands-on experience working with Cloud data solutions: creating ...

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Showing results 21-40

All JobsContract Data Engineering JobsContract Data Engineering Jobs in Arizona

Contract Data Engineering information

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

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 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
Infographic showing various Contract Data Engineering job openings in Arizona as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Lead Data & AI Engineer

Phoenix Staff

Phoenix, AZ • On-site, Remote

$50 - $60/hr

Contractor

Re-posted 14 days ago

Job description

Title: Lead Data & AI Engineer

Location: Phoenix, AZ (hybrid remote)

Type: 6-month contract to hire

Pay: $50-60/hr

We’re looking for a Lead Data & AI Engineer to lead the design and delivery of secure, scalable data and AI solutions within complex healthcare environments. The position focuses on building modern data platforms, integrating diverse clinical and claims datasets, and operationalizing machine learning models that improve cost, quality, and patient outcomes.

Your role

·       Design, implement, and optimize data platforms using Snowflake and Microsoft Fabric, including Lakehouses, Warehouses, OneLake, and engineering pipelines.

·       Build and maintain scalable ingestion frameworks for batch and streaming data sources such as APIs, ADLS, SFTP, and event streams with full lineage and governance.

·       Develop secure data environments that comply with HIPAA and PHI requirements using role-based access, masking, tokenization, and de-identification.

·       Create conceptual, logical, and physical data models using dimensional, normalized, and data vault approaches.

·       Transform and normalize structured and unstructured healthcare data including claims, eligibility, enrollment, provider, and clinical documentation.

·       Integrate and harmonize data using FHIR, HL7, X12/EDI 837/835, NCPDP, and CMS standards across payer, provider, EHR, and HIE systems.

·       Build and deploy machine learning pipelines for risk modeling, utilization forecasting, fraud detection, quality measurement, and care gap analysis.

·       Operationalize models with strong MLOps practices including versioning, CI/CD, monitoring, and drift detection.

·       Implement data cataloging, metadata management, lineage tracking, and quality validation using tools such as Microsoft Purview or equivalent.

·       Monitor and optimize pipeline performance, cost, and reliability across Snowflake and Fabric environments.

·       Collaborate with clinicians, actuaries, product teams, and analysts to translate business needs into scalable technical solutions.

·       Document architecture, data mappings, and design standards while mentoring engineers and contributing to enterprise best practices.

What you’ve got

·       8+ years of experience in data engineering or analytics with at least 5 years of hands-on Snowflake expertise including virtual warehouses, tasks, streams, Snowpipe, RBAC, masking, and data sharing.

·       2+ years of experience with Microsoft Fabric including OneLake, Lakehouses, Warehouses, Dataflows Gen2, Notebooks, and Pipelines.

·       Advanced SQL skills with strong experience in ETL/ELT development using Python, dbt, Dataflows, or Fabric/ADF pipelines.

·       Deep knowledge of healthcare data standards including CMS datasets, FHIR, HL7, X12/EDI, provider data, eligibility, and claims processing.

·       Strong data modeling experience including dimensional modeling, SCD types, surrogate keys, 3NF, and data vault methodologies.

·       Experience building and deploying machine learning solutions using tools such as scikit-learn, PyTorch, TensorFlow, Azure ML, or Fabric ML.

·       Practical experience managing HIPAA compliance, PHI handling, auditing, and secure access controls within cloud data environments.

·       Experience working with both structured data formats such as Parquet and CSV and unstructured data such as clinical notes and PDFs.

·       Strong communication skills with the ability to produce mapping specifications, lineage documentation, and present technical trade-offs clearly.

·       Preferred: Experience with Epic or Cerner integrations, HEDIS or risk adjustment programs, MLOps tools such as MLflow or GitHub Actions, Power BI semantic modeling, and relevant Snowflake or Microsoft certifications.

To find more great tech-centric jobs, please visit www.phoenixstaff.com.