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Data Engineer Data Analyst Jobs in New York (NOW HIRING)

Data Engineer

Newark, NJ ยท On-site

$55 - $60/hr

Prefer Local to New Jersey as its Hybrid role Someone from financial project background We are seeking an experienced AWS Data Engineer / Data Analyst with hands-on expertise in building scalable ...

Data Engineer

Iselin, NJ ยท On-site

$88K - $105K/yr

This opportunity is well suited to a Data Engineer, Data Analyst, or recent graduate with strong foundational skills in SQL and Python who is looking to build hands-on experience with Databricks ...

Data Engineer

Woodbridge, NJ ยท On-site

$88K - $105K/yr

This opportunity is well suited to a Data Engineer, Data Analyst, or recent graduate with strong foundational skills in SQL and Python who is looking to build hands-on experience with Databricks ...

Data Engineer

Bedminster, NJ ยท On-site

$116K - $140K/yr

Data Engineer Responsibilities * Develop and maintain scripts and tools using Python, PowerShell ... data, analytics, and reporting solutions. * Ensure accurate and efficient data integration of ...

This role will build strong relationships and partner closely with Product, Engineering, Data Science, Business Operations, and other Analytics teams to ensure the business executes effective ...

Data Engineer

Brooklyn, NY ยท On-site

$120K - $145K/yr

Hello We are Hiring Role: Data Engineer NYC, NY Hybrid 3 4 days onsite Visa: and GC Complex SQL ... Analytics | Staff Augmentation Email:

New

Data Analyst

Jersey City, NJ ยท On-site

$110 - $150/hr

This role operates as a leadโ€‘level liaison between Data Engineers, Actuaries, and Business ... Perform end-to-end data analysis, including data profiling, validation, and transformation for ...

Looking to have someone who fits the profile of either a Data Analyst or a Data Engineer refactor the ETL pipelines from one system into the next one. Need people who are able to work independently ...

Support testing, production deployments, and ongoing operational support Required Qualifications * 6+ years of experience in Data Analysis, Data Engineering, Data Integration, or related fields

Collaborating with data engineers, architects and analysts on data projects. May telecommute but must have ability to report to the New York, NY office 2 times per week. Benefits: Opportunity for ...

Lead Data Engineer - Data Engineering 4C

New York, NY ยท On-site

$125K - $150K/yr

Lead Data Engineer Ready to turn bold ideas into real-world impact? At Genpact, we don't just adapt ... Qualifications Bachelors - Business Analytics, Bachelors - Computer Science, Bachelors - Statistics ...

Data Strategy-Manager

Stamford, CT ยท On-site

$99K - $232K/yr

... Analytics / Solutions Architect - Azure Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified ...

Data Strategy-Manager

Melville, NY ยท On-site

$99K - $232K/yr

... Analytics / Solutions Architect - Azure Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified ...

Data Strategy-Manager

Florham Park, NJ ยท On-site

$99K - $232K/yr

... Analytics / Solutions Architect - Azure Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified ...

Data Strategy-Manager

New York, NY ยท On-site

$99K - $232K/yr

... Analytics / Solutions Architect - Azure Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified ...

Our team is comprised of Sales Executives, Software Engineers, Data Analysts, Ad Operations, Marketing Professionals, Product Managers and more. If you are tech-savvy, data-driven, client focused ...

Our team is comprised of Sales Executives, Software Engineers, Data Analysts, Ad Operations, Marketing Professionals, Product Managers and more. If you are tech-savvy, data-driven, client focused ...

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Data Engineer Data Analyst information

How do data engineer data analysts typically collaborate with data scientists and business stakeholders?

Data Engineer Data Analysts play a crucial role in bridging the technical and analytical needs of an organization. They work closely with data scientists by preparing, cleaning, and structuring large datasets to enable advanced analytics and modeling. Additionally, they collaborate with business stakeholders to understand data requirements, translate business questions into technical solutions, and deliver actionable insights. Effective communication and teamwork are essential, as the role often involves facilitating data access, ensuring data quality, and aligning data projects with business objectives.

What are the key skills and qualifications needed to thrive as a data engineer data analyst, and why are they important?

To thrive as a Data Engineer/Data Analyst, you need strong analytical and statistical skills, proficiency in programming languages like Python or SQL, and typically a degree in computer science, statistics, or a related field. Familiarity with data warehousing tools, ETL processes, and experience with platforms like Hadoop, Spark, or Tableau is often required. Attention to detail, problem-solving ability, and effective communication are crucial soft skills for interpreting data and sharing insights with stakeholders. These competencies ensure accurate data management, insightful analysis, and support data-driven decision-making within organizations.

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

AspectData EngineerData Scientist
Required CredentialsBachelor's in CS, Engineering, or related; often certifications in cloud or data toolsBachelor's or higher in CS, Statistics, or related; often advanced degrees
Work EnvironmentBuilds data pipelines, manages databases, ensures data flowAnalyzes data, creates models, interprets insights
Employer & Industry UsageTech companies, finance, healthcare, e-commerceResearch firms, tech, finance, marketing

Data Engineers focus on developing and maintaining data infrastructure, while Data Scientists analyze data to generate insights. Both roles require strong technical skills, but Data Engineers are more involved in data architecture, whereas Data Scientists focus on modeling and analysis.

Can a data analyst work as a data engineer?

A data analyst can transition to a data engineer role by developing skills in data pipeline development, database management, and programming languages like Python or SQL. While data analysts focus on data interpretation and reporting, data engineers build and maintain data infrastructure, often requiring knowledge of tools such as Apache Spark, Hadoop, or cloud platforms. Gaining experience with these technologies and earning relevant certifications can facilitate the switch between roles.

What are popular job titles related to Data Engineer Data Analyst jobs in New York?

For Data Engineer Data Analyst jobs in New York, the most frequently searched job titles are:

What job categories do people searching Data Engineer Data Analyst jobs in New York look for?

The top searched job categories for Data Engineer Data Analyst jobs in New York are:

What cities in New York are hiring for Data Engineer Data Analyst jobs?

Cities in New York with the most Data Engineer Data Analyst job openings:

Infographic showing various Data Engineer Data Analyst job openings in New York as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Data Engineer

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
 
Someone from financial project background
 

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.