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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 ...

We are a hybrid team of data analysts, data engineers, BI developers, and actuarial-engineers that are responsible for the design and implementation of our core data-systems including data ingestion ...

Data Analyst

Jersey City, NJ ยท On-site

$73K - $90K/yr

We are a hybrid team of data analysts, data engineers, BI developers, and actuarial-engineers that are responsible for the design and implementation of our core data-systems including data ingestion ...

We are a hybrid team of data analysts, data engineers, BI developers, and actuarial-engineers that are responsible for the design and implementation of our core data-systems including data ingestion ...

Utilize strong Microsoft Excel, SQL, and other programming language skills to provide high-quality data analysis and support to clients, internal stakeholders, and select media outlets * Serve as ...

Utilize strong Microsoft Excel, SQL, and other programming language skills to provide high-quality data analysis and support to clients, internal stakeholders, and select media outlets * Serve as ...

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 ...

Work with data engineers to validate that delivered solutions meet documented requirements ... Experience supporting BI and analytics tools such as Sigma, Power BI, Tableau, or Looker . * Solid ...

Work with data engineers to validate that delivered solutions meet documented requirements ... Experience supporting BI and analytics tools such as Sigma, Power BI, Tableau, or Looker . * Solid ...

Data Analyst

Jericho, NY ยท On-site

$90K - $110K/yr

Work with data engineers to validate that delivered solutions meet documented requirements ... Experience supporting BI and analytics tools such as Sigma, Power BI, Tableau, or Looker . * Solid ...

Data Analyst

Long Island City, NY ยท On-site

$77K - $126K/yr

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 ...

Work with data engineers to validate that delivered solutions meet documented requirements ... Experience supporting BI and analytics tools such as Sigma, Power BI, Tableau, or Looker . * Solid ...

Data Engineer

Piscataway, NJ ยท On-site

$76K - $121K/yr

You will support our software developers, data analysts, and data scientists on data initiatives, ensuring efficient data delivery architecture is consistent throughout ongoing projects. You must be ...

Data Engineer

New York, NY ยท On-site +1

$125K - $150K/yr

The Engineer will be responsible for the analysis, design, and development of solutions focused on data engineering and ETL workflows. As a Data Engineer, you will work with customers and internal ...

Data Engineer

Piscataway, NJ ยท On-site

$76K - $107K/yr

You will support our software developers, data analysts, and data scientists on data initiatives, ensuring efficient data delivery architecture is consistent throughout ongoing projects. You must be ...

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Showing results 1-20

Data Engineer Data Analyst information

What engineers make $500,000?

Senior data engineers with extensive experience, advanced skills in cloud platforms, big data tools, and strong programming knowledge can earn $500,000 or more annually, especially in high-cost-of-living areas or within large tech companies. Achieving this level often requires specialized expertise, leadership roles, and sometimes stock options or bonuses.

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.

Is a data engineer the same as a data analyst?

A data engineer designs, builds, and maintains data pipelines and infrastructure, focusing on data collection and storage. A data analyst interprets and analyzes data to generate insights and reports. While both roles work with data, they have different skill sets and responsibilities, often requiring knowledge of tools like SQL, Python, or cloud platforms.

What pays more, a data engineer or a data analyst?

Data engineers typically earn higher salaries than data analysts due to their advanced skills in building data pipelines, working with big data tools, and managing infrastructure. While salaries vary by experience and location, data engineering roles often require knowledge of programming languages like Python or Java and cloud platforms, which contribute to higher compensation.

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 does a data engineer analyst do?

A data engineer analyst designs, builds, and maintains data pipelines and infrastructure to collect, store, and process large datasets. They work with tools like SQL, Python, and cloud platforms to ensure data quality and accessibility for analysis, often collaborating with data scientists and business teams.

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.

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 July 2026, with employment types broken down into 87% Full Time, 8% Part Time, 1% Temporary, and 4% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution.

Data Engineer

Bright Mind Solutions LLC

Newark, NJ โ€ข On-site

$55 - $60/hr

Contractor

Re-posted 4 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.