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Data Analytics Platform Engineer Jobs (NOW HIRING)

Saige Partners

Data Platform Engineer

Eden Prairie, MN · On-site

$116K - $140K/yr

Data Platform Engineer Seeking an experienced Data Platform Engineer II to help build and improve enterprise data and analytics platforms in Google Cloud Platform (Google Cloud Platform) . Key ...

Cars Commerce

Senior Analytics Platform Engineer

$107K - $146K/yr

Our Data and AI Platform team is embarking on a transformational journey, building innovative and ... About You As an Analytics Engineer on our Data Engineering Team, you will help revitalize our Data ...

RXinsider LTD.

$150 - $200/hr

Overview The Senior Manager, Data & Analytics Platform Engineering will own, end to end, a centralized Power BI monitoring and reporting platform for the Data Governance, Informatics, and Analytics ...

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Data Analytics Platform Engineer information

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$44.5K

$129.7K

$177.5K

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

As of Sep 8, 2026, the average yearly pay for data analytics platform 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 a data analytics platform engineer?

A Data Analytics Platform Engineer is a technology professional who designs, builds, and maintains the infrastructure that enables organizations to collect, store, process, and analyze large volumes of data. They work with various data platforms, cloud services, and analytics tools to ensure data can be accessed efficiently and securely by analysts and data scientists. Their responsibilities include integrating different data sources, optimizing data pipelines, ensuring scalability and performance, and implementing best practices for data governance and security. This role is vital for organizations aiming to leverage data-driven insights to make informed business decisions.

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

To thrive as a Data Analytics Platform Engineer, you need expertise in data engineering, cloud platforms, and programming languages such as Python or Java, often supported by a degree in computer science or a related field. Familiarity with technologies like Apache Spark, Hadoop, SQL/NoSQL databases, and cloud services (AWS, Azure, or GCP) as well as certifications in these areas is highly valuable. Strong problem-solving skills, collaboration, and the ability to communicate complex technical concepts clearly are crucial soft skills. These abilities are essential for building robust, scalable analytics solutions and ensuring seamless data processing to drive business insights.

What are some common challenges faced by data analytics platform engineers when integrating new data sources?

Data Analytics Platform Engineers often encounter challenges such as ensuring compatibility between diverse data formats, maintaining data quality during ingestion, and managing data security and privacy concerns. Integrating new sources may also require updating data pipelines, coordinating with data owners, and troubleshooting connection or schema issues. Effective communication with stakeholders and thorough testing are essential to minimize disruptions and maintain platform reliability.

What is the difference between Data Analytics Platform Engineer vs Data Engineer?

AspectData Analytics Platform EngineerData Engineer
Primary FocusBuilding and maintaining analytics platforms and tools for data analysisDesigning, constructing, and maintaining data pipelines and infrastructure
Skills & CertificationsData platform tools, SQL, cloud services, analytics frameworksETL processes, database systems, programming (Python, Java), cloud platforms
Work EnvironmentCollaborates with data analysts and data scientistsWorks closely with data engineers and software developers
Industry UsageUsed in organizations focusing on data analytics and BIUsed across industries for data infrastructure and pipeline development

While both roles involve working with data infrastructure, Data Analytics Platform Engineers focus on creating platforms for data analysis, whereas Data Engineers build the pipelines and systems that enable data flow and storage. Understanding these differences helps in choosing the right career path or job fit.

What cities are hiring for Data Analytics Platform Engineer jobs?

Cities with the most Data Analytics Platform Engineer job openings:

What states have the most Data Analytics Platform Engineer jobs?

States with the most job openings for Data Analytics Platform Engineer jobs include:

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

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

Infographic showing various Data Analytics Platform 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 Platform Engineer

Arlington, VA • On-site

Booz Allen Hamilton
IT Services • 10K+ employees
Learn more about Booz Allen Hamiltonexternal

$131K - $158K/yr

Full-time

Re-posted 17 days ago

Booz Allen Hamilton rating

8.9

Company rating: 8.9 out of 10

Based on 49 frontline employees who took The Breakroom Quiz

11th of 72 rated business consultants

Job description

Job Summary:
Booz Allen Hamilton is a company focused on leveraging data for impactful missions. They are seeking a Data Analytics Platform Engineer to build advanced technology solutions and implement data engineering activities, helping clients derive meaningful insights from their data.
Responsibilities:
• help our clients find answers in their data to impact important missions—from fraud detection to cancer research to national intelligence.
• build advanced technology solutions and implement data engineering activities on some of the most mission-driven projects in the industry.
• deploy and develop pipelines and platforms that organize and make disparate data meaningful.
• work with and guide a multi-disciplinary team of analysts, data engineers, developers, and data consumers in a fast-paced, agile environment.
• manage the assessment, design, building, and maintenance of scalable platforms for your clients.
Qualifications:
Required:
• 3+ years of experience with data lake or analytics platforms such as Cloudera, Apache Iceberg or Snowflake
• 1+ years of experience designing data pipeline architectures for security operations, including log collection, normalization, enrichment and routing
• 1+ years of experience with defensive cyber operations, cybersecurity engineering or security platform architecture
• Experience with Windows or Linux administration activities
• Experience architecting detection engineering pipelines, threat hunting workflows or automated response capabilities
• Experience in managing and administrating Apache Flink, Hue, Hive or Zepplin
• Experience deploying platforms across cloud, on-premises and disconnected environments using Kubernetes or OpenShift
• Knowledge of Zero Trust principles, DoD and IC Cybersecurity frameworks and federal compliance standards
• TS/SCI clearance
• HS diploma or GED
Preferred:
• Experience with stream processing or data brokering platforms such as Cribl, Kafka, Logstash or Fluentd
• Experience with threat detection or anomaly-based behavioral analysis
• Experience with DevSecOps CI/CD pipelines in IL5, IL6 or IL7 environments
• Experience with Python or scripting languages for security automation
Company:
Booz Allen Hamilton is a consulting firm that specializes in analytics, technology, and engineering. Founded in 1914, the company is headquartered in Mclean, USA, with a team of 10001+ employees. The company is currently Late Stage.

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About Booz Allen Hamilton

Sourced by ZipRecruiter

Booz Allen Hamilton is a leading provider of management and technology consulting services to the US government in defense, intelligence, and civil markets. Headquartered in McLean, Virginia, the firm also serves major corporations, institutions, and not-for-profit organizations. Founded in 1914 by Edwin G. Booz, the company has a long-standing tradition of helping clients achieve success by delivering a wide range of consulting services that include strategic planning, human capital and learning, communication, systems development, and others. The company's mission is to empower people to change the world, and it has a reputation for maintaining the highest standards of integrity and-excellence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

McLean, VA, US

Year founded

1914

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