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Data Engineer Data Analyst Jobs in Arizona (NOW HIRING)

Collaborate with Mi-Case Application Developers, Legacy System Subject Matter Experts (SMEs), and stakeholders to gather, document, and analyze data migration requirements. * Analyze and map data ...

New

Data Engineer /Data tester

Tempe, AZ · On-site

$111K - $133K/yr

... systems analysis • Understands automated testing, testable requirements, and continuous ... developers and quality assurance teams to create domain models, sequence diagrams, use case ...

... Analytics / Solutions Architect - Azure Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified ...

This role will partner with data engineers, security teams, and stakeholders to deliver scalable data and reporting solutions. The analyst will work on cybersecurity data sets (e.g., threat ...

Data Analyst

Phoenix, AZ · On-site

$100K - $110K/yr

Data Analyst Must Have Technical/Functional Skills SQL , Data Analysis & Analytics, Data Governance ... You will collaborate with engineers, product managers, data stewards, and business stakeholders to ...

Data Analyst Must Have Technical/Functional Skills SQL , Data Analysis & Analytics, Data Governance ... You will collaborate with engineers, product managers, data stewards, and business stakeholders to ...

Azure Data Platform experience Required Skills * 4+ years of experience in Data Analysis, Data Engineering, or Data Migration * Strong SQL skills with Azure SQL Database, Azure SQL Managed Instance ...

Data Governance- Manager

Phoenix, AZ · On-site

$99K - $232K/yr

... Analytics / Solutions Architect - Azure Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified ...

Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Intelliswift, an LTTS Company, is seeking a Data Engineer to build optimal cloud-based data ... Data Management, Analytics & AI, and Digital Ent Solutions It is a sub-organization of L&T ...

Data Engineer

Phoenix, AZ

$113K - $136K/yr

Data analyst responsibilities include conducting full lifecycle analysis to include requirements ... Document component design for developers and for broader communication. * Understand and adopt an ...

Data Engineer

Scottsdale, AZ

$114K - $137K/yr

Ensures reliable, high-quality, and governed data flows that support analytics, reporting, and downstream applications. Serves as a technical leader in data engineering, driving best practices in ...

Data Engineer

Scottsdale, AZ · On-site

$114K - $137K/yr

Ensures reliable, high-quality, and governed data flows that support analytics, reporting, and downstream applications. Serves as a technical leader in data engineering, driving best practices in ...

Data Engineer

Phoenix, AZ · On-site

$104K - $125K/yr

Overview We are seeking a Data Engineer to join our growing Data & Analytics team. This role is responsible for designing, developing, and maintaining data pipelines and enterprise data solutions ...

Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Overview We are seeking a Data Engineer to join our growing Data & Analytics team. This role is responsible for designing, developing, and maintaining data pipelines and enterprise data solutions ...

Data Engineer

Phoenix, AZ · On-site

$113K - $136K/yr

Overview We are seeking a Data Engineer to join our growing Data & Analytics team. This role is responsible for designing, developing, and maintaining data pipelines and enterprise data solutions ...

Data Engineer

Phoenix, AZ · On-site

$104K - $125K/yr

We are seeking a Data Engineer to join our growing Data & Analytics team. This role is responsible for designing, developing, and maintaining data pipelines and enterprise data solutions while ...

Partner with developers, subject matter experts, and project stakeholders to gather and define data ... Solid understanding of data analysis techniques and data lifecycle concepts * Experience working ...

The Data Analyst role is critical in converting complex business, customer, and technical data into ... Bachelor's Degree in Computer Science, Business Management, Engineering, Information Systems ...

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Showing results 1-20

Data Engineer Data Analyst information

How do data engineer data analysts typically collaborate with data scientists and business stakeholders?

Data Engineer Data Analysts play a crucial role in bridging the technical and analytical needs of an organization. They work closely with data scientists by preparing, cleaning, and structuring large datasets to enable advanced analytics and modeling. Additionally, they collaborate with business stakeholders to understand data requirements, translate business questions into technical solutions, and deliver actionable insights. Effective communication and teamwork are essential, as the role often involves facilitating data access, ensuring data quality, and aligning data projects with business objectives.

What are the key skills and qualifications needed to thrive as a data engineer data analyst, and why are they important?

To thrive as a Data Engineer/Data Analyst, you need strong analytical and statistical skills, proficiency in programming languages like Python or SQL, and typically a degree in computer science, statistics, or a related field. Familiarity with data warehousing tools, ETL processes, and experience with platforms like Hadoop, Spark, or Tableau is often required. Attention to detail, problem-solving ability, and effective communication are crucial soft skills for interpreting data and sharing insights with stakeholders. These competencies ensure accurate data management, insightful analysis, and support data-driven decision-making within organizations.

What is the difference between Data Engineer Data Analyst vs Data Scientist?

AspectData EngineerData Scientist
Required CredentialsBachelor's in CS, Engineering, or related; often certifications in cloud or data toolsBachelor's or higher in CS, Statistics, or related; often advanced degrees
Work EnvironmentBuilds data pipelines, manages databases, ensures data flowAnalyzes data, creates models, interprets insights
Employer & Industry UsageTech companies, finance, healthcare, e-commerceResearch firms, tech, finance, marketing

Data Engineers focus on developing and maintaining data infrastructure, while Data Scientists analyze data to generate insights. Both roles require strong technical skills, but Data Engineers are more involved in data architecture, whereas Data Scientists focus on modeling and analysis.

Can a data analyst work as a data engineer?

A data analyst can transition to a data engineer role by developing skills in data pipeline development, database management, and programming languages like Python or SQL. While data analysts focus on data interpretation and reporting, data engineers build and maintain data infrastructure, often requiring knowledge of tools such as Apache Spark, Hadoop, or cloud platforms. Gaining experience with these technologies and earning relevant certifications can facilitate the switch between roles.

What cities in Arizona are hiring for Data Engineer Data Analyst jobs?

Cities in Arizona with the most Data Engineer Data Analyst job openings:

Infographic showing various Data Engineer Data Analyst job openings in Arizona as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution.

Data Analyst

Mi-Case

Phoenix, AZ • On-site

Other

Posted 2 days ago

New


Job description


About the Company



Founded in 1992, Mi-Case is the industry leader in fully integrated offender management software solutions and provides industry expertise and consulting within Criminal Justice and Public Safety systems. Mi-Case leverages a unique combination of technical, functional and industry specialization as well as partnerships with key software vendors to deliver maximum value add projects.



About the Role



As a Data Analyst, you will analyze legacy data sources and Mi-Case data requirements and develop detailed data mapping specifications. In this role, strong communication skills are essential for effectively conveying data requirements, identifying source data locations, and defining conversion rules. Proficiency in SQL and data analysis is required, as well as the ability to query data and provide thorough analysis. You will be responsible for documenting element level data conversion specifications and communicating progress and requirements clearly to key stakeholders, including the Project Manager, client system Subject Matter Experts, application developers, data engineers, and quality analysts. You will focus on gathering, analyzing, and mapping data for migration purposes, ensuring data quality and integrity throughout the process. Your contributions will be vital to the successful transition of data from legacy systems to new platforms.



Responsibilities



  • Collaborate with Mi-Case Application Developers, Legacy System Subject Matter Experts (SMEs), and stakeholders to gather, document, and analyze data migration requirements.
  • Analyze and map data structures from legacy systems to target platforms, making certain that data mapping specifications and transformation rules are precise.
  • Document the steps for data transformation, cleansing, and validation to uphold high standards of data quality and integrity.
  • Track migration requirements, mapping rules, and progress through tools like DevOps, keeping stakeholders fully informed.
  • Serve as the main point of contact for clients regarding data migration queries, delivering clear and consistent communication to manage expectations and keep the process aligned.
  • Log migration errors and any records that weren’t transferred, and investigate these issues to resolve them for future migration runs.
  • Offer ongoing support to Project Managers, SMEs, developers, data engineers, and quality analysts by regularly communicating migration progress, updates, and troubleshooting any issues that arise.



Qualifications



  • Education: Bachelor’s degree in Computer Science, Information Technology, or a related field.
  • Training in Data Integration or Migration Analysis would be beneficial.



Required Skills



  • Experience: 4+ years of experience in data analysis or a related field, with a focus on data migration projects.
  • Experience with data analysis, mapping, and transformation processes.
  • Proficient in SQL and database querying for data extraction and validation.
  • Corrections (Offender management) systems and / or CJIS data experience, is a big plus.
  • Excellent communication skills and ability to work collaboratively with cross-functional teams.
  • Detail-oriented with a strong commitment to data quality.
  • Strong analytical and problem-solving skills.
  • Experience with data migration tools and methodologies preferred.



Preferred Skills



  • Results - Consistently delivers required business results; sets and achieves achievable, yet aggressive, goals; consistently complies with quality, service and productivity standards and meets deadlines; maintains focus on company goals.
  • Technical/Functional Expertise - Demonstrates and effectively applies depth and breadth of knowledge and skill in a technical or functional area.
  • Professional Development - Demonstrates a commitment to professional development by proactively seeking opportunities to develop new capabilities, skills, and knowledge; acquires the skills needed to continually enhance his/her contribution to the company and to his/her respective profession.
  • Communication - Respectfully listens to others to gain a full understanding of issues; comprehends written material; presents information in a clear and concise manner orally and in writing to ensure others understand his/her ideas; appropriately adapts his/her message, style, and tone to accommodate a variety of audiences.
  • Problem Solving - Analyzes problems by evaluating available information and resources; develops effective, viable solutions to problems which can help drive the effectiveness of the company.
  • Teamwork - Cooperates with others to accomplish common goals; works within and across his/her department to achieve shared goals; treats others with dignity and respect and maintains a friendly demeanor; values the contributions of others; ability to work effectively with people of diverse backgrounds and characteristics.
  • Interpersonal and Organizational Professionalism – adept in displaying positive interpersonal skills and has self-awareness in being accountable and responsible. Recognizes areas for self-improvement and pursues professional development for continuous learning. Aligns actions to the mission and goals of the organization. Follows through on initiatives and meets deadlines, puts thought into appropriate professional-development and keeps skills updated.