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Big Query Jobs in New York (NOW HIRING)

Tror AI for everyone

Data Engineer

New York, NY · On-site

$125K - $150K/yr

Redshift or Snowflake or Big Query Data Integration & ETL: AWS Glue, Aws EMR, Spark, Data Bricks CI/CD: AWS Code Pipeline, Jenkins, CloudFormation, Docker, Kubernetes * Results-driven Data Engineer ...

Bloomingdale's

Data Scientist Lead

Long Island City, NY

$155K - $259K/yr

Experience with Cloud (GCP, Azure, AWS) and big data processing technologies (Redshift, Big Query) is a plus. * Ability to collaborate and work closely with cross-functional teams - Data Scientists ...

World Insurance Associates LLC

Data Analyst

Iselin, NJ · On-site

$80K - $90K/yr

Experience in design, development, and deployment of BI solutions using PowerBI (DAX, RLS), Python, Pyspark, Google Big query. * Knowledge or experience in implementing solutions with Microsoft ...

Mondo

Data Engineer II

Manhattan, NY · Remote

$117K - $140K/yr

Comfortable working with multi-TB cloud data warehouses (Snowflake preferred, Redshift, Big Query) * Experience with other DBMS systems (Postgres in particular) * Ability to travel up to approx 15%

Nestlé S.A.

Senior Data Scientist

Bridgewater, NJ · On-site

$130 - $160/hr

Experience working with relational database and cloud computing technologies such as Databricks, Snowflake, AWS, Azure ML and AMC, Big Query. * Experience in transforming raw data into meaningful ...

Nestle

Senior Data Scientist

Bridgewater, NJ

Experience working with relational database and cloud computing technologies such as Databricks, Snowflake, AWS, Azure ML and AMC, Big Query. * Experience in transforming raw data into meaningful ...

Verizon

Principal Data Science Engineer

Basking Ridge, NJ · On-site

$118K - $141K/yr

Experience with Google Cloud Platform (Big Query / Vertex AI / Looker / LookML / Looker Studio Pro) * Experience as a data scientist, analyst, or statistical modeler. * Experience with the ...

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Big Query information

See New York salary details

$47K

$50.3K

$53.1K

How much do big query jobs pay per year?

As of Aug 11, 2026, the average yearly pay for big query in New York is $50,321.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,300.00 and $50,300.00 per year, depending on experience, location, and employer.
What are popular job titles related to Big Query jobs in New York? For Big Query jobs in New York, the most frequently searched job titles are:
What job categories do people searching Big Query jobs in New York look for? The top searched job categories for Big Query jobs in New York are:
Big Query jobs near you
Infographic showing various Big Query job openings in New York as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 19% Part Time, 1% Temporary, and 3% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $50,321 per year, or $24.2 per hour.

Data Engineer

Tror AI for everyone

New York, NY • On-site

$125K - $150K/yr

Contractor

Re-posted 19 days ago

Job description

Job Role: Data Engineer

Job Location: New York (100% onsite) (need local to NY or near by locations)

Job Type: Contract

Note: Interview mode: (Final round will be in person Interview at client location)

 

Note: Candidate need to have colab set up ready with Gmail account so they can code on the L1 interview

 

 

Must have skills:

Languages & Scripting: Spark, Python, Java, Scala, Hive, Kafka, SQL

Cloud Platforms: AWS

Data Warehousing & Analytics: Redshift or Snowflake or Big Query

Data Integration & ETL: AWS Glue, Aws EMR, Spark, Data Bricks

CI/CD: AWS Code Pipeline, Jenkins, CloudFormation, Docker, Kubernetes

 

Job Description:

  • Results-driven Data Engineer with a decade of expertise in Data engineering across cloud platforms with a total of 12 years in IT.
  • Extensive experience utilizing Google Cloud Platform (GCP) services, including BigQuery, Dataflow, Dataprep, and Pub/Sub, for data engineering solutions.
  • Proficient in building and managing GCP data pipelines with tools like Cloud Composer and Cloud Dataflow.
  • Proven ability in developing and deploying applications on Google Kubernetes Engine (GKE).
  • Strong background in implementing security and compliance on GCP, ensuring data privacy and regulatory adherence.
  • Track record of optimizing cost and resource usage within GCP environments.
  • Skilled in AWS services such as Amazon EMR, Redshift, and Glue for efficient data processing.
  • Expertise in architecting scalable, cost-effective solutions on AWS, with proficiency in configuring AWS Lambda for serverless computing.
  • Adept at setting up AWS Kinesis streams to process real-time data, enhancing system responsiveness and data-driven decision-making.
  • Proficient in leveraging AWS DynamoDB to create scalable, low-latency NoSQL databases for dynamic applications.
  • Deep expertise in optimizing and managing Amazon Redshift data warehouses to deliver high-performance analytics and business insights.
  • Experienced in integrating AWS services into CI/CD pipelines, streamlining automation for continuous integration, delivery, and deployment.
  • Skilled in setting up and securing AWS Virtual Private Cloud (VPC) environments.
  • Proficient in managing Azure virtual machines (VMs) for cloud infrastructure operations.
  • Extensive experience managing on-premises data infrastructure, including data warehouses and databases.
  • Familiar with AWS DevOps practices for continuous integration and deployment.
  • Expertise in using Git for version control in DBT projects, ensuring proper tracking and documentation of data model changes.
  • Skilled in performance optimization and tuning of on-premises data systems.
  • Proficient in data migration strategies between on-premises and cloud environments.
  • Strong troubleshooting skills in resolving issues within on-premises data systems.
  • Proven ability to maintain high availability and disaster recovery solutions in on-premises environments.
  • Experienced in implementing CI/CD pipelines using tools like Jenkins and GitLab CI/CD.
  • Adept in automated testing processes, including unit, integration, and regression testing.
  • Skilled in gathering and analyzing project requirements to ensure alignment with business goals.
  • Experienced in Agile project management, contributing to successful outcomes through data-driven analytics and collaborative teamwork.