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Data Platform Engineer Jobs in New York (NOW HIRING)

Data Engineer, Data Platform About the Role We are building out our Data Platform team at Sigma, with a relentless focus on developing data models that fuel trusted insights across the company. As a ...

Platform Engineer Location: New York, NY Work Style: In-office Compensation: $200,000 - $375,000 ... Own data infrastructure that supports evaluations, experimentation, agent behavior, customer ...

Platform Engineer

Manhattan, NY · On-site

$200K - $375K/yr

Platform Engineer Location: New York, NY Work Style: In-office Compensation: $200,000 - $375,000 ... Own data infrastructure that supports evaluations, experimentation, agent behavior, customer ...

Platform Engineer

Manhattan, NY · On-site

$200K - $375K/yr

Platform Engineer Location: New York, NY Work Style: In-office Compensation: $200,000 - $375,000 ... Own data infrastructure that supports evaluations, experimentation, agent behavior, customer ...

Platform Engineer Location: New York, NY Work Style: In-office Compensation: $200,000 - $375,000 ... Own data infrastructure that supports evaluations, experimentation, agent behavior, customer ...

Data & AI Platform Engineer

Garden City, NY · On-site

$117K - $141K/yr

This is an early-career engineering role focused on building, operating, and improving cloud data/analytics platforms (e.g., Microsoft Fabric, Snowflake, Databricks) and supporting BI delivery (e.g ...

Data & AI Platform Engineer

New York, NY · On-site

$125K - $150K/yr

This is an early-career engineering role focused on building, operating, and improving cloud data/analytics platforms (e.g., Microsoft Fabric, Snowflake, Databricks) and supporting BI delivery (e.g ...

Platform Engineer

New York, NY · On-site

$180K - $250K/yr

Platform Engineer New York, NY • Full-time • Hybrid (3+ days/week in office) ABOUT GOVSIGNALS ... We're the only startup managing government contract data with AI in both FedRAMP High and DoW ...

Software Engineer, Data Platform

New York, NY · On-site

$125K - $150K/yr

About the Role We're hiring a Software Engineer to own our data platform and analytics . This will be the event infrastructure that ties our services together and makes surfacing new insights to our ...

Software Engineer Team: Data Platform Type: Individual Contributor Level: Mid-level (3-6 years of experience) Compensation: $175k-225k salary + 0.5%-1% equity, depending on experience Location:

Platform Engineer

Manhattan, NY · On-site

$140 - $190/hr

At Cube, we're redefining how organizations deliver, consume, and automate data and analytics ... As a Platform Engineer at Cube , you will be responsible for designing, building, and maintaining ...

Showing results 41-60

Data Platform Engineer information

See New York salary details

$48.7K

$141.9K

$194.2K

How much do data platform engineer jobs pay per year?

As of Aug 20, 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 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 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:

Infographic showing various Data Platform Engineer job openings in New York as of August 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 62% In-person, and 38% Remote job distribution, with an average salary of $141,914 per year, or $68.2 per hour.

$140K - $180K/yr

Full-time

Posted 27 days ago


Job description

Data Engineer, Data Platform About the Role

We are building out our Data Platform team at Sigma, with a relentless focus on developing data models that fuel trusted insights across the company. As a Data Platform Engineer, you will be responsible for the underlying data architecture across Snowflake and Databricks, as well as building and optimizing various ETL pipelines to fuel both internal and external (demo) use cases. Reporting to the Head of Data, this is a high visibility role with the opportunity to work on greenfield projects.

If you're a data engineer with a builder mindset, who wants to leverage a best-in-class stack, and genuinely is invested in Sigma's mission, let's chat!

What You Will Be Doing
  • Architect and manage our production data pipelines in Snowflake and how they are consumed in Sigma (Tech we use: Fivetran, dbt, Snowflake, Sigma, Hightouch, Metaplane)
  • Build foundational processes for scaling our demo asset data across various Cloud Data Warehouses
  • Partner with our infrastructure engineering team to ensure high availability of all key data assets
  • Build and scale our data governance policies
  • Work cross functionally to accomplish all of the above! You'll work across Product, Engineering, GTM-with users of all skills and levels
Qualifications We Need
  • Strong knowledge and experience of working with APIs and building data pipelines from various systems into Cloud Data Platforms (e.g., Snowflake, Databricks)
  • Strong communication and collaboration skills. You will primarily partner with the Analytics and Infrastructure Engineering teams internally at Sigma; your ability to work and collaborate closely with them will be integral to your success.
  • Experience deploying data governance frameworks with a scalable and repeatable process
  • Ability to thrive in ambiguous environments and get stuff done. We move fast and iterate quickly, and we want you to feel empowered to do exactly that
  • 3+ years of relevant experience working in a data engineering role
  • Startup experience
Qualifications We Want (also, skills you'll learn!)
  • A drive to continuously learn (and share those learnings) about the evolving data ecosystem
  • Familiarity with dbt
  • Advanced knowledge python knowledge
  • Advanced knowledge and strong opinions around orchestrators (e.g., Astronomer, Airflow, Dagster)
  • Advanced knowledge of working with public clouds (e.g., AWS, GCP)

Additional Job details

The base salary range for this position is $140k - $180k annually.

Compensation may vary outside of this range depending on a number of factors, including a candidate's qualifications, skills, competencies and experience. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work at Sigma Computing. This role is eligible for stock options, as well as a comprehensive benefits package.