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Associate Data Processor Jobs in New York (NOW HIRING)

Associate Data Engineer

Parsippany, NJ ยท On-site

$115K - $138K/yr

Optimize data pipelines, transformations, models, and processing jobs for performance, scalability ... Associate Data Engineer 1-2 years of industry experience in data engineering, data analysis ...

Associate, Data Engineer

New York, NY ยท On-site

$130K - $150K/yr

The Associate, Data Engineer will join the Data & Analytics function within our Technology division ... Design pipelines to process documents and other unstructured content for analytics and artificial ...

Associate Data Scientist

Manhattan, NY ยท On-site

$64K - $65K/yr

Right now, we are looking for a highly motivated Associate Data Scientist who will be responsible ... Follow the CRISP-DM process to generate robust documentation associated with iterative work

Principal Data Scientist Principal Associate , Data Scientist, Mainstreet Customer Management Data ... You love the process of analyzing and creating, but also share our passion to do the right thing.

Principal Data Scientist Principal Associate,Data Scientist - Business Card and Payments Data is at ... Currently has, or is in the process of obtaining one of the following with an expectation that the ...

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Associate Data Processor information

What jobs pay 500,000 a year in the US?

In the US, high-paying roles such as senior executives, specialized surgeons, and successful entrepreneurs can earn $500,000 or more annually. Certain executive positions in finance, technology, and healthcare, especially with bonuses and stock options, also reach or exceed this level. Achieving such income typically requires extensive experience, advanced skills, and often leadership responsibilities.

What is the work of a data processing associate?

A data processing associate is responsible for collecting, organizing, and inputting data into computer systems accurately and efficiently. They often use software tools like spreadsheets or database management systems and may verify data quality or prepare reports as part of their duties.

What job makes $10,000 a month without a degree?

An Associate Data Processor typically does not earn $10,000 a month without specialized skills or experience. High-paying roles that can reach this level often involve sales, real estate, or entrepreneurship, which may not require a degree but rely on skills, networking, and performance. Most data processing jobs pay lower salaries unless combined with advanced expertise or managerial responsibilities.

How can I make 2000 a week working from home?

As an Associate Data Processor, earning $2000 a week typically requires working full-time hours at a competitive pay rate, which may involve processing large volumes of data efficiently and consistently. Increasing income can also involve developing skills in data management tools, improving accuracy, and seeking higher-paying contracts or overtime opportunities where available.
What are the most commonly searched types of Data Processor jobs in New York? The most popular types of Data Processor jobs in New York are:
What cities in New York are hiring for Associate Data Processor jobs? Cities in New York with the most Associate Data Processor job openings:
Associate Data Engineer

Associate Data Engineer

Merican

Parsippany, NJ โ€ข On-site

$115K - $138K/yr

Contractor

Posted 3 days ago


Job description

Overview:
TekWissen is a global workforce management provider headquartered in Ann Arbor, Michigan that offers strategic talent solutions to our clients world-wide. Our client provider of digital technology and transformation, information technology and services
Position: Associate Data Engineer
Location: Parsippany, NJ
Duration: 6 Months
Job Type: Temporary Assignment
Work Type:Hybrid
Job Description
  • We are seeking a hands-on Associate Data Engineer with strong programming skills in Python and SQL and practical experience building scalable data ingestion, transformation, and quality pipelines using Azure ecosystem.
  • This role will focus on building scalable ingestion pipelines into the Bronze layer, developing Silver and Gold layer patterns, with strong focus on data quality, and enabling governed semantic models through Microsoft Fabric for analytics and reporting.

Key Responsibilities:
  • Implement medallion lakehouse architecture patterns across Bronze, Silver, and Gold layers.
  • Build and maintain ingestion pipelines that bring structured, semi-structured data, files, API sources into the Bronze layer of the lakehouse.
  • Develop Silver layer patterns focused on data cleaning, standardization, deduplication, validation, and business-rule application.
  • Develop Gold layer datasets that are curated, analytics-ready, and suitable for enterprise reporting and semantic model consumption.
  • Build reliable data pipelines using Azure Databricks, SQL, and Python.
  • Design and support orchestration workflows using Azure Data Factory Implement data quality checks, reconciliation logic, exception handling, and monitoring across pipelines.
  • Support enterprise data warehouse design, including dimensional modeling, star schemas, fact tables, and dimension tables.
  • Prepare curated datasets that support semantic models, governed reporting, dashboards, and business intelligence use cases.
  • Enable semantic layers and semantic models through Microsoft Fabric, including Fabric Lakehouse, Fabric Warehouse, OneLake, and Power BI semantic model integration.
  • Optimize data pipelines, transformations, models, and processing jobs for performance, scalability, and maintainability.
  • Collaborate with data analysts, BI developers, business stakeholders, and platform teams to translate requirements into trusted, reusable data products.
  • Communicate technical concepts clearly to both technical and non-technical stakeholders.

Required Skills and Experience:
  • Associate Data Engineer 1-2 years of industry experience in data engineering, data analysis, analytics engineering, or related data roles.
  • Strong knowledge of SQL and Python for data transformation, validation, and analysis.
  • Working experience in data platforms such as Azure, Databricks, Snowflake, or Microsoft Fabric with focus on data ingestion, data cleaning, data validation, and data quality.
  • Industry experience in lakehouse architecture, including Bronze, Silver, and Gold data layers.
  • Strong understanding of data warehousing concepts, dimensional modeling, star schema, fact tables, and dimension tables.
  • Ability to learn and apply reusable engineering patterns under guidance.
  • Ability to work with business and technical teams to understand data requirements and deliver reliable data outputs.
  • Technical Skills: Python, SQL, PySpark, Pandas, Azure Databricks, Azure Data Factory, Snowflake, Star Schema, Dimensional Modeling and Microsoft Fabric.

TekWissenยฎ Group is an equal opportunity employer supporting workforce diversity.

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About Merican

Sourced by ZipRecruiter

Merican is a IT Service consulting firm, specialized in Digital adoption and Business automation. With our diverse collection of skilled and committed consultants, technology companies, businesses and digital experts, we provide our subject expertise and our unique client service approach, a best-in-class global model of delivery suited to the business demands of our clients. We ensure that we implement future-oriented solutions for our clients via investments in people, solutions, technologies, competencies and infrastructure.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Columbia , MD, US

Year founded

2020

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