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Data Engineer Data Jobs in New York (NOW HIRING)

Data Engineer

Newark, NJ ยท On-site

$55 - $60/hr

AWS Data Engineer Duties: * Design and build data pipelines and ETL workflows using AWS Glue, AWS Lambda, and AWS Step Functions * Ingest and transform data from diverse sources (S3, RDS, DynamoDB ...

Staff Data Engineer - Data Engineering

Livingston, NJ ยท On-site

$124K - $149K/yr

About the role: We're seeking a Staff Data Engineer to define and drive the architecture of CoreWeave's enterprise data ecosystem. You will establish the modeling, semantic, governance, and platform ...

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 Engineer

Manhattan, NY ยท Hybrid

$125K - $150K/yr

Within ITD, the Geographic Data and Engineering (GDE) unit consists of application engineering, data engineering, geographic information systems, and geographic research teams, responsible for ...

Data Engineer

Manhattan, NY ยท On-site

$100K - $125K/yr

Within ITD, the Geographic Data and Engineering (GDE) unit consists of application engineering, data engineering, geographic information systems, and geographic research teams, responsible for ...

Data Engineer

Manhattan, NY ยท Hybrid

$125K - $150K/yr

Within ITD, the Geographic Data and Engineering (GDE) unit consists of application engineering, data engineering, geographic information systems, and geographic research teams, responsible for ...

Data Engineer

Piscataway, NJ ยท On-site

$76K - $121K/yr

The Modern Data Engineer will be an experienced pipeline builder and data wrangler who enjoys optimizing data systems from the ground up to power the next generation of predictive and generative AI ...

The Modern Data Engineer will be an experienced pipeline builder and data wrangler who enjoys optimizing data systems from the ground up to power the next generation of predictive and generative AI ...

Data Engineer

Piscataway, NJ ยท On-site

$76K - $107K/yr

The Modern Data Engineer will be an experienced pipeline builder and data wrangler who enjoys optimizing data systems from the ground up to power the next generation of predictive and generative AI ...

Data Engineer

Jersey City, NJ ยท On-site

$119K - $143K/yr

Skills from outside primary skill cluster SQL, PySpark, Python Scripting, Informatica or Collibra, JIRA, Agile, Scrum Must have a minimum of 4+ years of experience in data engineering, data ...

Data Engineer

Greenwich, CT

$128K - $154K/yr

We are seeking a Data Engineer with strong engineering, coding, and problemsolving skills to design, build, and operate data platforms that support actuaries, analytics, modeling, and AIenabled ...

Data Engineer

Greenwich, CT

$128K - $154K/yr

Responsibilities We are seeking a Data Engineer with strong engineering, coding, and problemsolving skills to design, build, and operate data platforms that support actuaries, analytics, modeling ...

Data Engineer

Greenwich, CT ยท On-site

$128K - $154K/yr

Responsibilities We are seeking a Data Engineer with strong engineering, coding, and problem-solving skills to design, build, and operate data platforms that support actuaries, analytics, modeling ...

The Modern Data Engineer will be an experienced pipeline builder and data wrangler who enjoys optimizing data systems from the ground up to power the next generation of predictive and generative AI ...

Data Engineer

Manhattan, NY ยท On-site

$126K - $151K/yr

The Data Engineer will play a key role in delivering data-driven products to support the organization's mission, focusing on data collection, movement, storage, and transformation. Responsibilities ...

Data Engineer

Manhattan, NY ยท On-site

$65 - $72/hr

Data Engineer Location-Type: NYC Hybrid (7 days onsite/ month) Start Date Is: Mid August Duration: 6 Month Contract Compensation Range: $65-72/hour W2 Benefits: Eligible for Health, Dental, Vision ...

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Data Engineer Data information

What are some common challenges Data Engineers face when integrating data from multiple sources?

Data Engineers often encounter challenges such as inconsistent data formats, varying data quality, and differing update frequencies when integrating data from multiple sources. Ensuring data integrity and designing robust ETL pipelines that can handle these discrepancies is a key part of the role. Collaboration with data analysts, database administrators, and source system owners is crucial to resolve data mapping issues, automate data validation, and maintain reliable data flows within the organization.

What is the difference between Data Engineer Data vs Data Analyst?

AspectData Engineer DataData Analyst
Primary RoleBuilds and maintains data pipelines and infrastructureAnalyzes data to generate insights and reports
Skills & CertificationsSQL, Python, ETL tools, cloud platformsSQL, Excel, data visualization tools
Work EnvironmentData engineering teams, IT departmentsBusiness units, analytics teams
Industry UsageTech, finance, healthcare, any data-driven industryMarketing, finance, operations, business intelligence

While Data Engineer Data focuses on creating and managing data infrastructure, Data Analysts interpret this data to support decision-making. Both roles require strong SQL skills, but Data Engineers typically work more with data pipelines and cloud platforms, whereas Data Analysts focus on data visualization and reporting.

What are the key skills and qualifications needed to thrive as a Data Engineer, and why are they important?

To thrive as a Data Engineer, you need a solid understanding of data modeling, SQL, and programming languages such as Python or Java, often backed by a degree in computer science, engineering, or a related field. Familiarity with data warehousing solutions (like Amazon Redshift or Snowflake), ETL tools, and cloud platforms (such as AWS, Azure, or Google Cloud) is typically required, along with relevant certifications. Strong problem-solving abilities, collaboration, and clear communication are vital soft skills for integrating complex data systems and working with cross-functional teams. These skills ensure that data pipelines are reliable, scalable, and effectively support business intelligence and analytics needs.

What are Data Engineers?

Data Engineers are professionals who design, build, and maintain the systems and infrastructure that allow organizations to collect, store, and analyze large amounts of data. They create data pipelines, ensure data quality, and optimize data flow between systems, making it accessible for data scientists and analysts. Data Engineers often work with technologies like SQL, Python, Hadoop, and cloud platforms, and play a crucial role in supporting data-driven decision-making within organizations.
What are popular job titles related to Data Engineer Data jobs in New York? For Data Engineer Data jobs in New York, the most frequently searched job titles are:
What cities in New York are hiring for Data Engineer Data jobs? Cities in New York with the most Data Engineer Data job openings:

Data Engineer

Bright Mind Solutions LLC

Newark, NJ โ€ข On-site

$55 - $60/hr

Contractor

Re-posted 3 days ago


Job description

Prefer Local to New Jersey as its Hybrid role
ย 
Someone from financial project background
ย 

We are seeking an experienced AWS Data Engineer / Data Analyst with hands-on expertise in building scalable data pipelines, transforming large datasets, and delivering analytical insights using the AWS ecosystem.

Key Responsibilities:

AWS Data Engineer Duties:

  • Design and build data pipelines and ETL workflows using AWS Glue, AWS Lambda, and AWS Step Functions
  • Ingest and transform data from diverse sources (S3, RDS, DynamoDB, APIs) into structured formats suitable for analysis
  • Create and optimize data lakes on Amazon S3 and integrate with Athena and Redshift
  • Automate data workflows using AWS Glue Jobs, Glue Crawlers, and CloudWatch
  • Implement data quality, cleansing, and transformation logic using PySpark or Python
  • Develop and maintain infrastructure as code using AWS CloudFormation or Terraform

AWS Data Analyst Duties:

  • Query large datasets using Amazon Athena, Redshift, and QuickSight for analytical reporting
  • Develop interactive dashboards and visualizations using Amazon QuickSight
  • Analyze and interpret data trends to support business decisions
  • Write complex SQL queries to extract, manipulate, and validate data from AWS-based systems
  • Collaborate with stakeholders to gather requirements and provide data-driven insights
  • Support data governance, metadata management, and documentation efforts

Required Skills & Technologies:

  • Strong experience with AWS services including:
  • S3, Glue, Lambda, Athena, Redshift, QuickSight
  • Proficiency in SQL and Python/PySpark for data transformation
  • Experience with data modeling, data warehousing, and data lake architectures
  • Familiarity with ETL/ELT pipelines and data integration frameworks
  • Solid understanding of IAM, CloudWatch, and AWS security best practices
  • Experience with BI tools (QuickSight, Tableau, or Power BI)

Nice to Have:

  • Experience with AWS Step Functions, Kinesis, or DataBrew
  • Familiarity with machine learning pipelines on AWS (SageMaker)
  • Experience with CI/CD pipelines and version control (Git)
If you are interested or have any references please share resume at mukul@brightmindsol.com.