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Data Platform Engineer Jobs in New York (NOW HIRING)

Medasource

Data Platform Engineer

New York, NY · On-site

$70 - $80/hr

Data Platform Engineer - Enterprise Data Modernization & Assessment Remote role Compensation: $70 - $80 per hour ABOUT THE ROLE Our client, a leading academic medical center, is embarking on the ...

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Treeswift Inc

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 ...

Tradeweb Markets LLC

Data Platform Engineer

Manhattan, NY · On-site

$126K - $151K/yr

Qualifications * 2-5 years of experience in a Data Platform Engineering role * Strong software engineering experience and working with Python * Strong experience working with SQL and databases ...

Tradeweb Markets

Data Platform Engineer

New York, NY · Hybrid

$125K - $150K/yr

Qualifications * 2-5 years of experience in a Data Platform Engineering role * Strong software engineering experience and working with Python * Strong experience working with SQL and databases ...

Tradeweb Markets

Data Platform Engineer

New York, NY · On-site

$125K - $150K/yr

Qualifications * 2-5 years of experience in a Data Platform Engineering role * Strong software engineering experience and working with Python * Strong experience working with SQL and databases ...

Tatari

Senior Data Platform Engineer

New York, NY

$114K - $157K/yr

As a Data Platform Engineer, you will be responsible for the reliability, stability, and operational health of our data platform - including how it is deployed, monitored, maintained, and promoted ...

Tatari

Senior Data Platform Engineer

New York, NY · On-site

$116K - $157K/yr

As a Data Platform Engineer, you will be responsible for the reliability, stability, and operational health of our data platform - including how it is deployed, monitored, maintained, and promoted ...

Avantos, Inc

Senior Data and Platform Engineer

New York, NY · On-site

$116K - $157K/yr

Senior Data & Platform Engineer NYC (Hybrid) or US Remote | Competitive + Equity About Avantos Avantos is building the AI-native operating system for financial services - transforming fragmented data ...

Farther

AI-Native Data Platform Engineer

New York, NY

$125K - $150K/yr

The Role As an AI-Native Data Platform Engineer at Farther, you will design and own the canonical data foundations powering our financial AI systems. This role sits at the core of our platform ...

Farther

AI-Native Data Platform Engineer

New York, NY · On-site

$125K - $150K/yr

The Role As an AI-Native Data Platform Engineer at Farther, you will design and own the canonical data foundations powering our financial AI systems. This role sits at the core of our platform ...

Farther

AI-Native Data Platform Engineer

New York, NY · On-site +1

$125K - $150K/yr

The Role As an AI-Native Data Platform Engineer at Farther, you will design and own the canonical data foundations powering our financial AI systems. This role sits at the core of our platform ...

Match Group

Senior Data Platform Engineer

New York, NY · On-site

$223K/yr

About the Role As a Senior Engineer for our Data Platform team, you will be responsible for maintaining and continuously improving our data platform. We are dedicated to designing, implementing and ...

Match Group

Senior Data Platform Engineer

New York, NY · On-site

$186K - $223K/yr

About the Role As a Senior Engineer for our Data Platform team, you will be responsible for maintaining and continuously improving our data platform. We are dedicated to designing, implementing and ...

Match Group

Senior Data Platform Engineer

New York, NY · On-site +1

$186K - $223K/yr

About the Role As a Senior Engineer for our Data Platform team, you will be responsible for maintaining and continuously improving our data platform. We are dedicated to designing, implementing and ...

Match Group

Senior Data Platform Engineer

New York, NY · On-site +1

$186K - $223K/yr

About the Role As a Senior Engineer for our Data Platform team, you will be responsible for maintaining and continuously improving our data platform. We are dedicated to designing, implementing and ...

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Data Platform Engineer information

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$48.7K

$141.9K

$194.2K

How much do data platform engineer jobs pay per year?

As of Aug 1, 2026, the average yearly pay for data platform engineer in New York is $141,914.00, according to ZipRecruiter salary data. Most workers in this role earn between $125,300.00 and $150,400.00 per year, depending on experience, location, and employer.

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 is a Data Platform Engineer job?

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 most commonly searched types of Data Platform Engineer jobs in New York? The most popular types of Data Platform Engineer jobs in New York are:
What are popular job titles related to Data Platform Engineer jobs in New York? For Data Platform Engineer jobs in New York, the most frequently searched job titles are:
What job categories do people searching Data Platform Engineer jobs in New York look for? The top searched job categories for Data Platform Engineer jobs in New York are:
Data Platform Engineer jobs near you
Infographic showing various Data Platform Engineer job openings in New York as of July 2026, with employment types broken down into 1% As Needed, 87% Full Time, 10% Part Time, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $141,914 per year, or $68.2 per hour.

Data Platform Engineer

Medasource

New York, NY • On-site

$70 - $80/hr

Contractor

This job post has expired today. Applications are no longer accepted.

Job description

Data Platform Engineer - Enterprise Data Modernization & Assessment
Remote role
Compensation: $70 - $80 per hour
ABOUT THE ROLE
Our client, a leading academic medical center, is embarking on the first phase of a large-scale enterprise data modernization initiative. We are seeking an experienced Data Platform Engineer to play a pivotal role in technical discovery, workload analysis, automation, and migration planning-distinct from traditional pipeline development. In this role, you will assess how Epic Clarity and Caboodle data is accessed, consumed, and utilized across the organization, and help define the future-state architecture within Databricks. You will design and operate AI-assisted query classification processes, map existing database objects to a modern Databricks-based analytics platform, and identify functional gaps to inform the migration roadmap. This is a unique opportunity to shape the organization's data modernization strategy, ensuring a scalable and efficient transition to modern analytics solutions. The ideal candidate thrives on solving complex architectural challenges, has a strong background in automation and cloud-based analytics, and is passionate about enabling data-driven transformation in healthcare environments.
WHAT YOU'LL DO
  • Design, build, and maintain automated AI-assisted query-log classification pipelines to categorize enterprise database access patterns.
  • Analyze SQL query activity, reporting workloads, extracts, integrations, and downstream data consumption to identify migration candidates.
  • Own the mapping of Epic Clarity and Caboodle database objects to future-state Databricks architecture, identifying functional gaps and providing recommendations for future implementation.
  • Perform technical assessments of tables, views, stored procedures, functions, and other database objects to determine migration feasibility and modernization strategies.
  • Develop automation to accelerate discovery, object analysis, metadata collection, workload classification, and migration planning.
  • Collaborate with Identity & Access Management resources to correlate access patterns with database object utilization and support enterprise access rationalization.
  • Partner with business stakeholders to understand analytical workflows, reporting requirements, and downstream application dependencies.
  • Evaluate legacy SQL objects and recommend scalable, cloud-native design patterns within Databricks.
  • Produce technical documentation, migration recommendations, object inventories, and architectural assessments to guide future implementation phases.
  • Provide engineering expertise to support enterprise data governance, modernization strategy, and analytics platform transformation.
WHAT YOU BRING
  • 5+ years of experience as a Data Platform Engineer, Data Engineer, Analytics Engineer, Data Architect, or similar role.
  • Epic Clarity Data Model Certification and/or Epic Caboodle Certification.
  • Demonstrated experience supporting multiple enterprise-scale data platform modernization or migration initiatives.
  • Hands-on experience with Databricks and modern lakehouse architecture.
  • Strong SQL development skills with experience analyzing complex database workloads and query patterns.
  • Proven experience building automation using Python, PySpark, SQL, or similar technologies to improve operational efficiency and reduce manual analysis.
  • Experience evaluating legacy data platforms and developing migration strategies for cloud-based analytics environments.
  • Strong understanding of relational database architecture, metadata, database objects, and enterprise data modeling.
  • Experience assessing existing reporting or analytics environments and translating legacy database structures into modern cloud architectures.
  • Strong analytical, troubleshooting, and critical thinking skills with the ability to solve complex technical challenges independently.
  • Excellent written and verbal communication skills with the ability to explain technical findings to both technical and non-technical stakeholders.
  • Experience working with Epic Clarity and/or Epic Caboodle data environments.
  • Experience supporting healthcare organizations or academic medical centers.
  • Experience designing AI-assisted automation or machine learning workflows for data engineering, metadata discovery, or workload classification.
  • Experience with Azure cloud services and enterprise analytics platforms.
  • Familiarity with Power BI, Tableau, and modern enterprise reporting ecosystems.
  • Experience supporting Oracle-to-cloud modernization initiatives.
  • Knowledge of enterprise data governance, metadata management, and data cataloging practices.
WHAT'S IN IT FOR YOU
  • Opportunity to shape the data modernization roadmap for a leading academic medical center.
  • Work remotely with a collaborative, forward-thinking team.
  • Engage in high-impact projects leveraging the latest in cloud, AI, and analytics technologies.
  • Competitive hourly compensation.
  • Potential for long-term engagement and professional growth in healthcare data engineering.

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