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Data Cleaning Jobs (NOW HIRING)

Associate Data Engineer

Parsippany, NJ ยท On-site

$115K - $138K/yr

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 ...

SQL, data cleaning, feature engineering * Hyperscale's: AWS, Azure, or GCP experience a plus * On prem and cloud development projects with CI/CD Experience * Design, develop, and implement advanced ...

Data Analyst

Lake Mary, FL ยท On-site

$55 - $62/hr

Data Collection Management Acquire data from primary or secondary sources and maintain databases Data Cleaning Clean and sanitize data by filtering reviewing reports and correcting code problems ...

Data Scientist

Long Beach, CA ยท On-site +1

$79K - $172K/yr

Job Summary Perform data and error analysis to improve models, and clean and validate data for uniformity and accuracy. Execute data science and statistical analytical experiments methodically to ...

Job Summary Perform data and error analysis to improve models, and clean and validate data for uniformity and accuracy. Execute data science and statistical analytical experiments methodically to ...

Data Eng Sr

Reston, VA ยท On-site

$97K - $164K/yr

Produce data cleaning, basic analysis, and preparation for visualization * Develop dashboards and perform analysis using AI techniques * Provide data preprocessing, quality checks, data integration ...

Data Eng II

Reston, VA ยท On-site

$79K - $134K/yr

Produce data cleaning, basic analysis, and preparation for visualization * Develop dashboards and perform analysis using AI techniques * Provide data preprocessing, quality checks, data integration ...

Identify trends, patterns, and insights from datasets * Assist in data cleaning, validation, and quality checks * Support business teams by providing actionable data insights * Extract and manipulate ...

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Data Cleaning information

What is a Data Cleaning job?

A Data Cleaning job involves identifying and correcting errors, inconsistencies, and inaccuracies in datasets to ensure high-quality data for analysis. This process includes removing duplicate records, filling in missing values, standardizing formats, and eliminating irrelevant or erroneous data. Data cleaning helps improve data accuracy, reliability, and usability for business intelligence, machine learning, and decision-making. Professionals in this role typically work with databases, spreadsheets, and data management tools to refine raw data into a structured and meaningful format.

What are the key skills and qualifications needed to thrive in the Data Cleaning position, and why are they important?

To thrive in Data Cleaning, you need a strong attention to detail, analytical skills, and a solid understanding of data management practices, often supported by training or coursework in data science, statistics, or information technology. Familiarity with tools like Microsoft Excel, SQL, Python (with libraries such as pandas), or specialized data cleaning software is highly valuable. Excellent problem-solving abilities, persistence, and effective communication are important soft skills for identifying and addressing data inconsistencies while collaborating with other team members. These skills are essential to ensure that datasets are accurate, reliable, and ready for analysis, leading to trustworthy business insights.

What are the most common challenges faced by professionals in data cleaning roles?

One of the biggest challenges in data cleaning is dealing with incomplete, inconsistent, or duplicate data from multiple sources, which often requires creative problem-solving and close attention to detail. Communicating with team members to clarify data definitions and intended use is also a frequent part of the job, as misinterpretations can lead to errors. Additionally, deadlines and large datasets can make the role fast-paced, so strong organizational skills and efficiency are important. However, overcoming these challenges offers valuable experience and plays a crucial role in ensuring the success of projects that depend on high-quality data.

More about Data Cleaning jobs
What cities are hiring for Data Cleaning jobs? Cities with the most Data Cleaning job openings:
What are the most commonly searched types of Data Cleaning jobs? The most popular types of Data Cleaning jobs are:
What states have the most Data Cleaning jobs? States with the most job openings for Data Cleaning jobs include:
Infographic showing various Data Cleaning job openings in the United States as of July 2026, with employment types broken down into 61% Full Time, 38% Part Time, and 1% Temporary. Highlights an 100% Physical job distribution.
Associate Data Engineer

Associate Data Engineer

Merican

Parsippany, NJ โ€ข On-site

$115K - $138K/yr

Contractor

Posted 26 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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