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Data Platform Engineer Jobs (NOW HIRING)

Data Platform Engineer

Santa Cruz, CA · Remote

$117K - $140K/yr

As a Data Platform Engineer , you will play a critical role in designing, building, and delivering modern data platforms for our customers while also partnering directly with them to ensure ...

Data Platform Engineer

Columbus, OH · On-site

$87K - $120K/yr

The Data Platform Engineer for Enterprise Data at Chipotle will be an active participant and driver in ensuring our platform and infrastructure continues to mature and evolve to support current and ...

Data Platform Engineer

San Jose, CA · On-site

$134K - $161K/yr

Cloud & Data Platforms AWS Azure Databricks Familiarity with modern data platforms: Data lakes Data warehouses Snowflake, Redshift Data Engineering & Quality Understanding of: Data models, Data ...

Data Platform Engineer

Cupertino, CA · On-site

$141K - $169K/yr

About the Job- We are looking for an experienced Data Platform Engineer to join one of our enterprise client engagements. The ideal candidate should have strong expertise in SQL, Spark, Kafka, AI/ML ...

Data Platform Engineer

Santa Cruz, CA · On-site

$125K - $155K/yr

As a Data Platform Engineer, you will play a critical role in designing, building, and delivering modern data platforms for our customers while also partnering directly with them to ensure successful ...

Data Platform Engineer

Santa Cruz, CA · On-site +1

$132K - $158K/yr

As aData Platform Engineer, you will play a critical role in designing, building, and delivering modern data platforms for our customers while also partnering directly with them to ensure successful ...

Data Platform Engineer

New York, NY · On-site

$125K - $150K/yr

About the role You are a skilled and motivated Data Platform Engineer. You will: * Design, build, and maintain data pipelines at scale. We run Apache Airflow 3 on Astronomer with pipelines that ...

Data Platform Engineer

$117K - $140K/yr

SUMMARY Greystar is seeking a Platform Engineer to join the Data team. This is a senior, deeply technical platform operations role responsible for the reliability, governance, and cost efficiency of ...

The Data Platform Engineer is responsible for designing, maintaining, and optimizing the organization's hybrid data infrastructure across on-premises and cloud environments and ensuring that it ...

Data Platform Engineer

$117K - $140K/yr

SUMMARY Greystar is seeking a Platform Engineer to join the Data team. This is a senior, deeply technical platform operations role responsible for the reliability, governance, and cost efficiency of ...

We are looking for a hands-on GCP / Data Platform Engineer to support, maintain, and enhance large-scale production data platforms running on Google Cloud. The role is focused on platform reliability ...

Data Platform Engineer

Minneapolis, MN · On-site

$80K - $100K/yr

This Data Platform Engineer will fill a critical role in enhancing and supporting the Data Analytics environment for prioritized Apogee Data Domains; educating our IT & Business Partners ...

Data Platform Engineer

Seattle, WA · On-site

$200K - $250K/yr

As a Data Platform Engineer at Astronomer, you'll be a key partner to our clients, guiding them in deploying powerful data workflows to accelerate their business outcomes. You'll have the chance to ...

AI Data Platform Engineer

Cupertino, CA · On-site

$141K - $169K/yr

As an AI Data Platform Engineer with the MSI team, you will design, build, and operate scalable AI data platforms that enable GenAI, Agentic AI, and Embodied AI solutions across the enterprise. You ...

We are looking for a hands-on GCP / Data Platform Engineer to support, maintain, and enhance large-scale production data platforms running on Google Cloud. The role is focused on platform reliability ...

AI Data Platform Engineer

Cupertino, CA · On-site

$150K - $277K/yr

As an AI Data Platform Engineer with the MSI team, you will design, build, and operate scalable AI data platforms that enable GenAI, Agentic AI, and Embodied AI solutions across the enterprise. You ...

Showing results 41-60

Data Platform Engineer information

See salary details

$44.5K

$129.7K

$177.5K

How much do data platform engineer jobs pay per year?

As of Sep 2, 2026, the average yearly pay for data 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 platform engineer?

A Data Platform Engineer designs, builds, and maintains scalable data infrastructure to support analytics, machine learning, and business intelligence. They work with data pipelines, databases, and cloud technologies to ensure efficient data storage, processing, and retrieval. Their role involves optimizing performance, ensuring data security, and enabling reliable data access for engineers and analysts.

What are some typical challenges a data platform engineer may encounter in their day-to-day work?

Data Platform Engineers often navigate challenges such as ensuring high data availability, optimizing system performance, and maintaining data security in evolving cloud or hybrid environments. They frequently address issues related to scaling infrastructure to handle growing data volumes, integrating legacy systems, and automating data pipelines. Collaboration with data scientists, analysts, and software engineers is essential to ensure data solutions meet business requirements. Adapting swiftly to new technologies and troubleshooting complex issues are key parts of the role, making it both dynamic and rewarding for those who enjoy problem-solving.

What are the key skills and qualifications needed to thrive in the data platform engineer position, and why are they important?

To thrive as a Data Platform Engineer, you need a solid understanding of database architectures, data modeling, ETL processes, and programming languages such as SQL, Python, or Scala, often supported by a degree in computer science or a related field. Hands-on experience with cloud platforms (e.g., AWS, Azure, Google Cloud), big data tools (like Hadoop, Spark), and certifications like AWS Certified Data Analytics or Google Professional Data Engineer are highly valued. Strong problem-solving skills, effective communication, and an ability to work collaboratively within cross-functional teams distinguish top candidates. These skills ensure that data systems are reliable, scalable, and aligned with organizational goals, enabling informed decision-making and innovation.

What cities are hiring for Data Platform Engineer jobs?

Cities with the most Data Platform Engineer job openings:

What are the most commonly searched types of Data Platform Engineer jobs?

The most popular types of Data Platform Engineer jobs are:

What states have the most Data Platform Engineer jobs?

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

Infographic showing various Data Platform Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Data Platform Engineer

Delaware Nation Industries

Washington, DC • On-site

$129K - $155K/yr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 9 days ago


Job description

Platform Architecture:
  • Design and maintain scalable, cloud-native data platforms, including data lakes, lake houses, and data warehouses (e.g., AWS, Azure, GCP).

Self-Service Enablement:
  • Build reusable CI/CD templates and Infrastructure as Code to allow data scientists and analysts to provision environments and build pipelines independently.
  • Develop robust ETL and ELT frameworks for both batch and streaming data.
    Implement strict role-based access controls, data encryption, data lineage tracking, and compliance frameworks to protect sensitive digital health or enterprise data.
  • Monitor platform performance, storage use, and query responsiveness to ensure high availability and cost efficiency. Collaborate with Data Architects, Software Developers, and Data Scientists to integrate RESTful APIs and deliver cohesive end-to-end data products.

Requirements
  • Bachelor's or Master's degree in Computer Science, Software Engineering, or a related technical field.
  • Minimum 4 years in data engineering, platform engineering, or a highly technical DevOps or data role.
  • Proficiency in Python, Java, or Scala; advanced SQL skills; and experience with NoSQL and distributed database systems.
  • Hands-on experience with data lake and warehouse technologies such as Databricks, Snowflake, Apache Spark, or Apache Kafka.
  • Familiarity with containerization tools (Docker, Kubernetes), workflow orchestration platforms (Airflow, Dagster), and Infrastructure as Code tools (Terraform).
  • Must have a TS/SCI Security clearance

Benefits
Benefits Include:
  • Covers 100% of employee benefit premiums, including Medical (PPO or HDHP Option), Vision, Dental
  • Matching 401K
  • Short- and Long-Term Disability
  • Pet Insurance
  • Professional Development/Education Reimbursement
  • Parking and Transit Benefits for NY, NJ, ATL, and DC Metro areas

Other Duties:
Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice.