ZipRecruiter

Log In

1

Data Writing Jobs (NOW HIRING)

Dynanet Corporation

Data Analyst

MD · Remote

It is not a passive reporting position; the analyst must be comfortable profiling messy data, writing SQL and Python, validating AI-extracted fields, building BI datasets, documenting metric ...

Dynanet Corporation

Data Analyst

MD · Remote

It is not a passive reporting position; the analyst must be comfortable profiling messy data, writing SQL and Python, validating AI-extracted fields, building BI datasets, documenting metric ...

Avani Technology Solutions, Inc.

Java Developer

Lansing, MI · On-site

$51.75 - $67/hr

Creating API's to interface with MAGIC data * writing core Java applications (JAVA EE, backend business logic, getting data from the database app, some simple UI, and server API's which are RESTful ...

Insurify

Data Journalist

Cambridge, MA

$70K - $80K/yr

Dive deep into proprietary data sources to find and write the stories that will interest the media and establish Insurify as the leading source of insurance data * Gather and analyze public data and ...

Sonar

Data Scientist, Marketing Analytics

Austin, TX · On-site

Comfort with the latest AI tools, and a habit of using them to work faster and sharper: exploring data, writing and debugging code, drafting analysis, and accelerating insight. You stay current as ...

Sonar

Data Scientist, Marketing Analytics

Austin, TX · On-site

Comfort with the latest AI tools, and a habit of using them to work faster and sharper: exploring data, writing and debugging code, drafting analysis, and accelerating insight. You stay current as ...

next page

Showing results 1-20

All JobsData Writing Jobs

Data Writing information

See salary details

$8

$32

$77

How much do data writing jobs pay per hour?

As of Jun 30, 2026, the average hourly pay for data writing in the United States is $32.57, according to ZipRecruiter salary data. Most workers in this role earn between $16.59 and $41.11 per hour, depending on experience, location, and employer.

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

To thrive in a Data Writing role, you need excellent written communication, strong analytical skills, and a background in data analysis or a related field. Proficiency with tools such as Microsoft Excel, Google Sheets, data visualization platforms, and, in some cases, SQL or Python is highly valuable. Attention to detail, problem-solving abilities, and the capacity to translate complex data into clear and accessible language are key soft skills. These competencies enable data writers to create accurate, informative content that drives decision-making and supports business objectives.

What types of projects or assignments do Data Writers typically work on, and how do they contribute to team goals?

Data Writers are often responsible for creating data-driven reports, summaries, case studies, or explanatory articles that communicate complex findings to diverse audiences. They collaborate closely with data analysts, researchers, and subject matter experts to ensure that information is both technically accurate and easy to understand. Typical projects may include preparing executive summaries, drafting white papers, or generating content for dashboards and presentations. By transforming analytical results into compelling narratives, Data Writers help teams share insights, support strategic decisions, and increase the accessibility of data across the organization.

What is a Data Writing job?

A Data Writing job involves collecting, analyzing, and presenting data in a clear and structured format. Professionals in this role create reports, summaries, and documentation based on data insights. They ensure accuracy, clarity, and readability while translating complex data into understandable content. Data writers may work in industries such as finance, research, marketing, or technology. Their work supports decision-making and communication across teams and organizations.

More about Data Writing jobs
What are the most commonly searched types of Data Writing jobs? The most popular types of Data Writing jobs are:
What states have the most Data Writing jobs? States with the most job openings for Data Writing jobs include:
What job categories do people searching Data Writing jobs look for? The top searched job categories for Data Writing jobs are:
Data Writing jobs near you
Infographic showing various Data Writing job openings in the United States as of June 2026, with employment types broken down into 75% Full Time, and 25% Part Time. Highlights an 100% In-person job distribution, with an average salary of $67,738 per year, or $32.6 per hour.
URGENT NEED - Senior Data Engineer @ McLean, VA - Hybrid

URGENT NEED - Senior Data Engineer @ McLean, VA - Hybrid

Navtech, Inc.

Mclean, VA • On-site

$116K - $139K/yr

Full-time

Posted 28 days ago

Job description

I have an opportunity for "Senior Data Engineer" _ McLean, VA - HYBRID" and I am looking for a candidate who can join Immediately if you are interested, reply to me with your updated resume or if you could refer someone I would really appreciate it.
Position : Senior Data Engineer
Duration: 6+ months
Location: McLean, VA Onsite (Hybrid) on Tuesday, Wednesday and Thursday
Interview information:
Rounds: 2 rounds
Duration: 1st round - 30 minutes MS Teams, Video Mandatory | 2nd round - 2 hours IN PERSON INTERVIEW
  • Must have tech stack: Python (3 years), Spark (2years), SQL (advance level), Unix Shell scripting AutoSys and Big Data platform (Hadoop OR AWS).
  • Data pipelines built in Python and Spark. AutoSys is used for automation.
  • Some of the responsibilities will include understanding technical requirements, developing unit test cases, working with users etc.
  • The candidate must have excellent communication skills.

Required Skills: 3 years of experience in Spark. 2 years of experience in SQL and Python.
Qualifications:
  • Bachelor's degree in Computer Science, Engineering, Data science or a related quantitative field.
  • 5 - 6 years of relevant experience in design and development of data pipelines in processing large volumes and variety of data (Structured and unstructured data, writing code for parallel processing, XMLS, JSONs, PDFs).
  • Hands-on programming experience in Hadoop, Spark, Python and SQL for data processing and analysis.
  • Demonstrated ability to manage competing demands, prioritize work, and manage customer expectations.
  • Strong verbal and written communication skills.

Required Technical Skills:
  • Advanced Python, SQL and Spark, very good familiarity with big data technologies like Hadoop, Scoop, Hive, Ambari.
  • Prior experience working with AWS and Snowflake technologies.
  • Unix Shell script, AutoSys batch scheduling.

Regards
Alex . K
NAVTECH INC
1600 Golf Road. Suite 1200, Rolling Meadows, IL 60008
Ph: (224) 348-1340 || Email: alex@navtechusa.com || www.navtechusa.com
E-Verified Company
Navtech logo

About Navtech

Sourced by ZipRecruiter

Industry

Civil engineering construction

Company size

11 - 50 Employees

Headquarters location

New Bloomfield, PA, US

Year founded

1996

View All Navtech Jobs

Apply