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Apple Data Analytics Engineer Jobs (NOW HIRING)

Data Analytics Engineer

Austin, TX · On-site

$113K - $136K/yr

The Data Analytics Engineer is responsible for designing, building, and maintaining scalable data pipelines, analytics platforms, and reporting solutions that enable data-driven decision making ...

Data & Analytics Engineer

Milwaukee, WI · On-site

$112K - $135K/yr

Are you looking for an opportunity to expand your expertise in analytics engineering, data modeling, and modern cloud data platforms in an environment that values curiosity and continuous learning?

Data & Analytics Engineer

Milwaukee, WI · Hybrid

$112K - $135K/yr

Are you looking for an opportunity to expand your expertise in analytics engineering, data modeling, and modern cloud data platforms in an environment that values curiosity and continuous learning?

Data & Analytics Engineer

Milwaukee, WI · On-site

$112K - $135K/yr

Are you looking for an opportunity to expand your expertise in analytics engineering, data modeling, and modern cloud data platforms in an environment that values curiosity and continuous learning?

Data Analytics Engineer

Miami Lakes, FL · On-site

$103K - $124K/yr

The Data Analytics Engineer will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. The ...

Data Analytics Engineer

San Francisco, CA · On-site

$180K - $220K/yr

About the Position We are looking for a Data Analytics Engineer to build and scale the data models, pipelines, and analytics infrastructure that power decision-making across Parafin. You'll design ...

Data Analytics Engineer

Glen Allen, VA · On-site

$180K - $200K/yr

Execute the analytics engineering roadmap by identifying the highest-leverage data opportunities and delivering the models and datasets needed to support them * Design and build a single source of ...

Data Analytics Engineer

Glen Allen, VA · On-site

$106K - $127K/yr

Execute the analytics engineering roadmap by identifying the highest-leverage data opportunities and delivering the models and datasets needed to support them * Design and build a single source of ...

Data Analytics Engineer

Glen Allen, VA

$106K - $127K/yr

Execute the analytics engineering roadmap by identifying the highest-leverage data opportunities and delivering the models and datasets needed to support them * Design and build a single source of ...

Data Analytics Engineer

Houston, TX · On-site

$130K - $140K/yr

Data Analytics Engineer Location: Houston TX (4 days in office) Type: Full Time This role is a hybrid, bridging the gap between data engineering and business intelligence. You'll spend part of your ...

Data Analytics Engineer

Crystal City, TX · On-site

$99K - $119K/yr

Data Analytics Engineer ID: 1000000059 Location: Crystal City, VA Clearance Level: Obtain Public Trust Level 6 Shift: Standard Day Shift (M-F) Travel Requirements: None More about this job ...

About the Position We are looking for a Data Analytics Engineer to build and scale the data models, pipelines, and analytics infrastructure that power decision-making across Parafin. You'll design ...

Data Analytics Engineer

Lexington Park, MD · On-site

$111K - $133K/yr

They are seeking a Data Analytics Engineer to work with operational and customer stakeholders to acquire, process, and analyze diverse data sources for mission-critical projects. Responsibilities ...

Data Analytics Engineer

Kokomo, IN · On-site

$101K - $121K/yr

The analytics engineer makes sure data is ingested, transformed, scheduled, and ready to be used for analytics. This role is responsible for designing, implementing, and maintaining data pipelines ...

Showing results 21-40

Apple Data Analytics Engineer information

See salary details

$44.5K

$129.7K

$177.5K

How much do apple data analytics engineer jobs pay per year?

As of Sep 10, 2026, the average yearly pay for apple data analytics engineer in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

What is the difference between Apple Data Analytics Engineer vs Apple Data Scientist?

AspectApple Data Analytics EngineerApple Data Scientist
Required CredentialsBachelor's or Master's in Data Science, Computer Science, or related field; experience with SQL, Python, and data visualization toolsBachelor's or Master's in Data Science, Statistics, or related; strong statistical and machine learning skills
Work EnvironmentFocus on data pipeline development, data warehousing, and analytics infrastructure within AppleFocus on modeling, predictive analytics, and deriving insights from data
Employer & Industry UsageUsed across Apple’s product teams for data management and analyticsUsed for advanced modeling and research to inform product decisions

Apple Data Analytics Engineers primarily develop data pipelines and manage data infrastructure, while Data Scientists focus on building models and analyzing data to generate insights. Both roles require strong technical skills and are integral to Apple's data-driven decision-making process.

What are popular job titles related to Apple Data Analytics Engineer jobs?

For Apple Data Analytics Engineer jobs, the most frequently searched job titles are:

Infographic showing various Apple Data Analytics Engineer job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 83% Full Time, 12% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Data Analytics Engineer

Austin, TX • On-site

ADP, Inc.
Recruiting and Staffing Services • 10K+ employees

$113K - $136K/yr

Other

Posted 8 days ago


Job description

If you are unable to complete this application due to a disability, contact this employer to ask for an accommodation or an alternative application process.

Full Time Regular Technical Austin, TX, US

2 days ago Requisition ID: 2314

SUMMARY OF PURPOSE:

The Data Analytics Engineer is responsible for designing, building, and maintaining scalable data pipelines, analytics platforms, and reporting solutions that enable data-driven decision making across the organization. This role bridges the gap between data engineering and business intelligence by transforming raw data into trusted, accessible, and actionable insights. The Data Analytics Engineer collaborates closely with business stakeholders, data analysts, IT teams, and leadership to deliver high-quality data solutions that support strategic objectives.

ESSENTIAL FUNCTIONS:
  • Design, develop, and maintain ETL/ELT processes for ingesting,transforming, and integrating data from multiple sources.
  • Build and optimize data pipelines to ensure data quality, reliability, and performance.
  • Develop and maintain enterprise data models, data warehouses, and data marts.
  • Monitor and troubleshoot data workflows and resolve data-related issues.
Analytics & Reporting
  • Create and maintain dashboards, reports, and self-service analytics solutions using modern BI tools.
  • Translate business requirements into scalable analytical solutions.
  • Develop KPIs, metrics, and reporting frameworks to measure business performance.
  • Support ad hoc data analysis and reporting requests.
Data Governance & Quality
  • Implement data quality controls and validation processes.
  • Ensure compliance with organizational data governance policies and security standards.
  • Maintain data dictionaries, metadata, and documentation.
  • Promote best practices for data management and analytics.
Collaboration & Business Partnership
  • Partner with business stakeholders to understand reporting and analytical needs.
  • Work closely with application teams and business process owners to improve data accessibility and usability.
  • Provide technical guidance and mentoring to analysts and other team members.
  • Present analytical findings and recommendations to leadership.
POSITION REQUIREMENTS - REQUIRED QUALIFICATIONS:
  • Bachelor's degree in Computer Science, Information Systems, Data Analytics, Engineering, Mathematics, or a related field.
  • 3+ years of experience in data engineering, analytics engineering, business intelligence, or related roles.
  • Strong SQL development and database management skills.
  • Experience with data warehouse technologies and cloud data platforms.
  • Proficiency in Python, SQL, or other data processing languages.
  • Experience with BI and visualization tools such as Sigma, Tableau, or similar platforms.
  • Knowledge of ETL/ELT frameworks and data integration methodologies.
PREFERRED QUALIFICATIONS:
  • Experience with Azure Data Factory, Microsoft Fabric, Synapse Analytics, Databricks, or Snowflake.
  • Understanding of data governance and master data management practices.
  • Experience working in Agile environments.
  • Relevant certifications in Azure, Microsoft Fabric, Power BI, or data engineering technologies.
KEY COMPETENCIES:
  • Analytical thinking and problem-solving
  • Data modeling and architecture
  • Stakeholder communication
  • Process improvement
  • Project management and prioritization
  • Collaboration and teamwork
SUCCESS MEASURES:
  • Delivery of reliable and scalable analytics solutions.
  • Improvement in data quality and reporting accuracy.
  • Increased adoption of self-service analytics capabilities.
  • Timely delivery of data and analytics initiatives aligned with business goals.
PHI ACCESS:
  • This position requires access to PHI due to reporting and data content
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About ADP

Sourced by ZipRecruiter

We're designing a better way to work, so you can achieve what you're working for. Consistently named one of the 'Most Admired Companies' by FORTUNE® Magazine, and recognized by DiversityInc® as one of the 'Top 50 Companies for Diversity,' ADP works with more than 740,000 organizations across the globe to help their people work smarter, embrace new challenges, and unleash their talent. "Always Designing for People" means we're creating platforms that will transform how great work gets done, so together we can unlock a world of opportunity.

Industry

Recruiting and staffing services

Company size

10,000+ Employees

Headquarters location

Roseland, NJ, US

Year founded

1949

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