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Senior Data Developer Jobs in New York (NOW HIRING)

Senior Data Engineer

New York, NY · On-site +1

$146K - $180K/yr

The Senior Data Engineer will lead the design and development of scalable, high-performance data architectures and models for both batch and streaming data processing. This person will define and ...

The Senior Data Engineer will lead the design and development of scalable, high-performance data architectures and models for both batch and streaming data processing. This person will define and ...

Senior Data Engineer

Rye, NY · On-site

$137K/yr

Senior Data Engineer Job Locations US-NY-Rye Job ID 2026-8436 Category Information Technology ... Databricks Certified Associate Developer for Apache Spark Knowledge: * Advanced SQL and Python for ...

Senior Data Engineer

New York, NY · On-site

$120K - $121K/mo

Senior Data Engineer Location: USA - NY, SLC, TX, UT, Dallas, New York City (Onsite) Job Summary: We are seeking a Senior Data Engineer to design and develop scalable, high-performance data pipelines ...

Senior Data Engineer

Iselin, NJ · Hybrid

$107K - $146K/yr

Senior Data Engineer Senior Data Engineer Hybrid 1: This role requires associates to be in-office1 ... Azure DevOps, REST API, and source-system integration issues. * Provide technical support to ...

Sr. Data Engineer

Westport, CT

$110K - $150K/yr

Senior Data Engineer Ready to build what's next with one of the world's most iconic brands? Why ... CI/CD & DevOps: Git, Databricks Asset Bundles or Snowflake CLI/Schemachange, automated testing, or ...

Senior Data Engineer

New York, NY · On-site

$160K - $200K/yr

As a Senior Data Engineer at Rearc, you'll be the technical anchor on complex, client-facing data engineering engagements, someone who can sit across the table from a client's data leadership team ...

Senior Data Engineer

Manhattan, NY · On-site

$116K - $158K/yr

They are seeking a Senior Data Engineer to own and improve the company's data stack, including building ingestion processes and streamlining reporting processes. Responsibilities : • Build and ...

Senior Data Engineer-

Jersey City, NJ · On-site

$61 - $80.75/hr

Senior Data Engineer- Jersey city, NJ * Must have: Spark, Scala, Java, AWS (EMR) * Nice to have: Python, S3 EC2, EKS, Hadoop, Impala, Hive, Airflow * Domain knowledge a plus * Data set size is 500m ...

Senior Data Engineer

New York, NY · On-site

$116K - $157K/yr

Senior Data Engineer Department: Digital Reporting To: Manager, Data Engineering Employment Type: Full-Time Overview: Audacy is looking for a Senior Data Engineer to join our dynamic Data Engineering ...

Senior Data Engineer with MDM

Iselin, NJ · On-site

$107K - $146K/yr

Job title- Senior Data Engineer with MDM Location- Iselin, NJ (Need Onsite day 1, hybrid 3 days from office) . Our Client is seeking a Senior Data Engineer with MDM experience to join our team in ...

Sr Data Engineer

New York, NY · On-site

$116K - $157K/yr

Job Posting Title: Sr Data Engineer Req ID: 10147075 Technology is at the heart of Disney's past ... Experience with Git/GitHub, CI/CD, and modern DevOps practices. * Excellent communication skills ...

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Senior Data Developer information

See New York salary details

$18

$62

$89

How much do senior data developer jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for senior data developer in New York is $62.16, according to ZipRecruiter salary data. Most workers in this role earn between $51.01 and $73.65 per hour, depending on experience, location, and employer.
What cities in New York are hiring for Senior Data Developer jobs? Cities in New York with the most Senior Data Developer job openings:
Infographic showing various Senior Data Developer job openings in New York as of July 2026, with employment types broken down into 1% As Needed, 80% Full Time, 11% Part Time, and 8% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $129,283 per year, or $62.2 per hour.

$107K - $146K/yr

Other

Posted 21 days ago


Job description

Job Description Senior Data Engineer (GCP / PySpark / ETL) Position Summary We are seeking a Senior Data Engineer to join a high-performing Data Engineering team supporting enterprise Fraud and Claims Analytics initiatives. This role will be instrumental in modernizing a large-scale data platform by migrating data assets from Teradata to Google Cloud Platform (GCP). The ideal candidate has extensive experience designing and building scalable data pipelines, developing ETL solutions, and working with big data technologies in cloud environments.

This is an excellent opportunity to work on a high-impact migration involving nearly 1 petabyte of enterprise data while collaborating with engineering teams, business stakeholders, and analytics partners. Key Responsibilities Design, develop, and maintain scalable ETL pipelines supporting Fraud and Claims Analytics. Build and optimize high-volume data processing solutions using PySpark, Python, and SQL.

Participate in the migration of enterprise data assets from Teradata to Google Cloud Platform (GCP). Develop data solutions leveraging BigQuery, PySpark, Hadoop, and cloud-native technologies. Collaborate with business stakeholders, data architects, and application teams to understand data requirements and deliver reliable solutions.

Optimize data pipelines for performance, scalability, and cost efficiency. Support multiple applications utilized by Fraud Analytics teams. Work with large-scale datasets consisting of approximately 1,000 terabytes of data and 600-700 enterprise tables.

Schedule and monitor production workloads using AutoSys. Develop and maintain data integration workflows using Ab Initio. Troubleshoot production issues and implement performance improvements.

Participate in code reviews and follow engineering best practices for data quality, governance, and documentation. Support cloud deployment, testing, and production implementation activities. Required Qualifications Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field (or equivalent experience).

5+ years of Data Engineering or Software Engineering experience (Senior Engineer level). 4-6 years of hands-on experience with: SQL ETL development Python PySpark AutoSys Ab Initio Cloud technologies (Google Cloud Platform preferred) Strong understanding of data warehousing concepts and large-scale data processing. Experience building highly scalable data pipelines and data integration solutions.

Strong analytical, troubleshooting, and problem-solving skills. Excellent communication and collaboration skills.