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Data Manipulation Jobs (NOW HIRING)

Senior ML Data Engineer - Remote

Plano, TX · On-site +1

$110K - $132K/yr

... data manipulation and SQL for query optimization Experience building pipelines for real-time and batch model serving in production environments and knowledge of CICD practices for ETLELT pipeline ...

Minimum 5 years of hands-on experience in SQL Server SQL development, including writing complex queries, data manipulation statements, stored procedures, and tuning * Knowledge of indexing, query ...

Good understanding of SAS dataset handling, joins, and data manipulation techniques. * Experience in Banking or Insurance domain preferred. * SAS Certification is an added advantage. Founded in 2010 ...

Proficiency in SQL for data manipulation. * Familiarity with Python for data automation and analysis. * Experience with Tableau for data visualization. * Practical data cleaning and validation skills.

Data Engineer

Sterling, VA · On-site

$113K - $136K/yr

Proficiency in writing and executing SQL queries for data manipulation and analysis. * Data Modeling: Understanding of data modeling principles and ability to design data structures that meet ...

Data Engineer

Sterling, VA

$113K - $136K/yr

Proficiency in writing and executing SQL queries for data manipulation and analysis. * Data Modeling: Understanding of data modeling principles and ability to design data structures that meet ...

Data Engineer

Princeton, NJ · On-site

$120K - $144K/yr

... manipulation, ETL workflows, and automation of data tasks. • Develop reusable scripts and modules for data processing. • Collaboration & Stakeholder Engagement • Work closely with data ...

Sr. Data Modeler

Philadelphia, PA

$55.25 - $71.75/hr

Skilled in authoring technical documentation and performing reviews, design, data manipulation, and creative problem solving * Strong experience in CRM systems ( esp in SFDC , Customer MDM , Eloqua ...

Data Scientist - Mid

Fort Belvoir, VA · On-site

$120K - $155K/yr

Apply scripting, data manipulation, data cleaning, data transformation, and automation techniques to support analysis and visualization. * Work with data from multiple systems, databases ...

Proficiency in SQL and data manipulation * Working knowledge of Python for data engineering tasks * Experience with data migration or modernization projects (preferred) * Strong analytical skills ...

Fluent in SQL, data manipulation, and trend analysis in an OLAP environment * Ability to solve problems thoroughly, quickly and creatively with an eye for detail * Hands-on experience in all aspects ...

Someone with a technical background (data manipulation, data processes). Power BI experience is a plus. Regards Arun Singh E-Solutionsm: +1 (408) 836 -3538 w: www.e-solutionsinc.com e: arun.negi@e ...

Data Scientist

Annapolis, MD · On-site

$103K - $120K/yr

Perform comprehensive data manipulation, wrangling, and exploratory data analysis (EDA) to identify and interpret complex trends within large-scale datasets. * Strategic Decision Support: Utilize ...

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Data Manipulation information

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$34K

$82.6K

$136K

How much do data manipulation jobs pay per year?

As of Jun 28, 2026, the average yearly pay for data manipulation in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

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

In data manipulation roles, high-paying positions such as senior data scientists, data engineers, or analytics directors can reach or exceed $500,000 annually, especially in large corporations or tech firms. These roles typically require advanced skills in programming, data modeling, and experience with tools like SQL, Python, or cloud platforms, often combined with leadership responsibilities and advanced degrees.

What jobs make $1,000,000 a year?

In data manipulation roles, high salaries reaching or exceeding $1,000,000 annually are rare and typically found in executive positions such as Chief Data Officer or Chief Technology Officer, especially in large corporations. These roles require extensive experience, advanced skills in data management, leadership, and often involve stock options or bonuses that contribute to total compensation. Most data manipulation jobs offer salaries well below this threshold, with top-tier executives earning the highest compensation packages.

What does data manipulation do?

Data manipulation involves adjusting, organizing, and transforming data to make it suitable for analysis or reporting. Data analysts and data manipulation specialists use tools like Excel, SQL, or Python to clean, filter, and restructure data sets efficiently.

What jobs pay 200,000 a year in the USA?

Data manipulation roles such as data scientists, data engineers, and senior data analysts can earn $200,000 or more annually, especially with experience, advanced skills in programming languages like Python or R, and proficiency with data tools and cloud platforms. These positions often require strong analytical skills, a relevant degree, and sometimes certifications, and are typically found in industries like finance, technology, and consulting.

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

To excel in Data Manipulation roles, candidates generally need strong analytical skills, proficiency in data processing, and a relevant degree in computer science, statistics, or a related field. Experience with tools such as SQL, Python, R, Excel, and data visualization platforms, along with certifications like Microsoft Certified: Data Analyst Associate, are frequently expected. Attention to detail, problem-solving abilities, and effective teamwork are key soft skills that enhance performance in this position. These combined competencies ensure clean, reliable datasets that drive accurate business insights and data-driven decision-making.

What are some typical daily tasks involved in a Data Manipulation role?

In a Data Manipulation role, you can expect to spend your days cleaning, transforming, and organizing raw data to ensure its accuracy and usability for reporting or analysis. Responsibilities often include writing scripts to automate data workflows, identifying and correcting inconsistencies, integrating data from multiple sources, and collaborating closely with data analysts and business teams. You may also be tasked with creating documentation to track data changes and establishing protocols for data quality assurance. This hands-on work is crucial for delivering high-quality, actionable data that supports organizational objectives.

What is a Data Manipulation job?

A Data Manipulation job involves processing, organizing, and transforming raw data to make it more usable for analysis and decision-making. Professionals in this role use tools like SQL, Python, or Excel to clean, structure, and modify data. Their tasks may include merging datasets, removing duplicates, correcting errors, and optimizing data storage. This role is critical in industries that rely on accurate and well-structured data for reporting, analytics, and business intelligence.

More about Data Manipulation jobs
What are the most commonly searched types of Data Manipulation jobs? The most popular types of Data Manipulation jobs are:
What states have the most Data Manipulation jobs? States with the most job openings for Data Manipulation jobs include:
Infographic showing various Data Manipulation job openings in the United States as of June 2026, with employment types broken down into 96% Full Time, 1% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.
Senior ML Data Engineer - Remote

Senior ML Data Engineer - Remote

TriOptus LLC

Plano, TX • On-site, Remote

$110K - $132K/yr

Contractor

Posted 25 days ago


Job description


Senior ML Data Engineer Feature Engineering ETL
Qualifications
7 years in data engineering and at least 4 years focusing on ML feature engineering ETL pipeline development and data preparation for ML
Proven experience managing pipelines on Databricks using Apache Spark with a strong understanding of the medallion architecture
Familiarity with ML lifecycle management with MLflow experience as a strong plus and advanced skills in Apache Spark PySpark for big data processing and analytics
Proficient in Python for data manipulation and SQL for query optimization
Experience building pipelines for real-time and batch model serving in production environments and knowledge of CICD practices for ETLELT pipeline development
Expertise in metadata and master data management within technical data catalogues
Understanding of data security and compliance especially with sensitive data like PII
Required Skills : Data Warehouse
Basic Qualification :
Additional Skills : Data Engineer
Background Check : No
Drug Screen : No