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Data Wrangler Flexible Jobs (NOW HIRING)

Data Engineer

Rochester, NY · On-site

$110K - $140K/yr

You have a strong background in data wrangling and are an expert in Databricks or Snowflake , with ... Be a flexible builder: Embrace a "builder" mentality. In a startup, you'll have the flexibility to ...

Data Engineer

Rochester, NY · On-site

$113K - $135K/yr

Master our data environment, leveraging Databricks and/or Snowflake to wrangle, transform, and ... a flexible builder: Embrace a "builder" mentality. In a startup, you'll have the flexibility to ...

Data Engineer

Rochester, NY · On-site

$113K - $135K/yr

Master our data environment, leveraging Databricks and/or Snowflake to wrangle, transform, and ... a flexible builder: Embrace a 'builder' mentality. In a startup, you'll have the flexibility to ...

Data Engineer

Dearborn, MI

$105K - $126K/yr

As a Data Engineer on the Wrangling and Visualization Migration Team, you will communicate and ... We've differentiated ourselves by being fast, flexible, creative and honest . Throw out everything ...

Manage large datasets, including performing data integration, data wrangling, and querying large ... Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts * Short-Term ...

Manage large datasets, including performing data integration, data wrangling, and querying large ... Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts * Short-Term ...

Manage large datasets, including performing data integration, data wrangling, and querying large ... Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts * Short-Term ...

Data Engineer

Chicago, IL · On-site +1

$100K - $145K/yr

The ideal candidate is an experienced data engineer and data wrangler who enjoys optimizing data ... Flexible, remote work * Fun, fast-paced work environment * Dynamic start-up culture * Ability to ...

Data Engineer

Chicago, IL · On-site +1

$100K - $145K/yr

The ideal candidate is an experienced data engineer and data wrangler who enjoys optimizing data ... Flexible, remote work * Fun, fast-paced work environment * Dynamic start-up culture * Ability to ...

Data Engineer

Chicago, IL · On-site +1

$118K - $141K/yr

The ideal candidate is an experienced data engineer and data wrangler who enjoys optimizing data ... Flexible, remote work * Fun, fast-paced work environment * Dynamic start-up culture * Ability to ...

AI Data Scientist Sr.

Minto, AK · On-site

$120K - $160K/yr

Strong data exploration, data wrangling and feature engineering skills * Knowledge of application ... flexible spending or health savings account, and other additional voluntary benefits. Always ...

AI Data Scientist Sr.

Los Angeles, CA · On-site

$120K - $160K/yr

Strong data exploration, data wrangling and feature engineering skills * Knowledge of application ... flexible spending or health savings account, and other additional voluntary benefits. Always ...

AI Data Scientist Sr.

New York, NY · On-site

$120K - $160K/yr

Strong data exploration, data wrangling and feature engineering skills * Knowledge of application ... flexible spending or health savings account, and other additional voluntary benefits. Always ...

$120K - $160K/yr

Strong data exploration, data wrangling and feature engineering skills * Knowledge of application ... flexible spending or health savings account, and other additional voluntary benefits. Always ...

$120K - $160K/yr

Strong data exploration, data wrangling and feature engineering skills * Knowledge of application ... flexible spending or health savings account, and other additional voluntary benefits. Always ...

AI Data Scientist Sr.

Minto, AK · On-site

$120K - $160K/yr

Strong data exploration, data wrangling and feature engineering skills * Knowledge of application ... flexible spending or health savings account, and other additional voluntary benefits. Always ...

AI Data Scientist Sr.

North East, PA · On-site

$120K - $160K/yr

Strong data exploration, data wrangling and feature engineering skills * Knowledge of application ... flexible spending or health savings account, and other additional voluntary benefits. Always ...

AI Data Scientist Sr.

North East, PA · On-site

$120K - $160K/yr

Strong data exploration, data wrangling and feature engineering skills * Knowledge of application ... flexible spending or health savings account, and other additional voluntary benefits. Always ...

$120K - $160K/yr

Strong data exploration, data wrangling and feature engineering skills * Knowledge of application ... flexible spending or health savings account, and other additional voluntary benefits. Always ...

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Data Wrangler Flexible information

What are Data Wrangler Flexible positions?

Data Wrangler Flexible positions involve collecting, cleaning, organizing, and preparing large sets of data for analysis, often on a flexible or remote basis. Professionals in these roles work with raw data from various sources, ensuring its quality and usability for data scientists and analysts. Flexible data wranglers may work part-time, on contract, or with adjustable hours, making the role ideal for those seeking work-life balance or remote opportunities. Key responsibilities include data transformation, validation, and collaborating with teams to support data-driven decision-making.

What types of data sources and formats will I commonly work with as a Data Wrangler, and how does this affect my daily workflow?

As a Data Wrangler, you will frequently encounter data from diverse sources such as databases, spreadsheets, APIs, and unstructured files like text or JSON. This variety requires adaptability in handling different formats and cleaning inconsistencies, which can be a significant part of your daily tasks. You’ll regularly collaborate with data engineers and analysts to ensure that the cleaned data meets project requirements and is ready for analysis. Flexibility and strong problem-solving skills are essential, as each data set may present unique challenges that impact your workflow and prioritization.

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

High-level executive roles such as CEOs, CFOs, and other C-suite positions can earn over $1,000,000 annually, often including bonuses and stock options. Certain entrepreneurs, investors, and specialized professionals in finance, technology, or entertainment may also reach this income level, typically requiring extensive experience, skills, and a strong network.

What is a data wrangler job description?

A data wrangler is responsible for collecting, cleaning, organizing, and maintaining data to ensure its quality and usability for analysis. The role often involves working with large datasets, using tools like SQL, Excel, or data management software, and requires attention to detail and strong problem-solving skills.

Is 40 too late for data science?

Data Wrangler Flexible roles often require strong data manipulation and programming skills, which can be developed at any age. Age is not a barrier to entering data science, and many professionals successfully transition into the field later in their careers by gaining relevant skills and certifications.

What are the key skills and qualifications needed to thrive as a Data Wrangler, and why are they important?

To thrive as a Data Wrangler, you need strong skills in data analysis, data cleaning, and proficiency with programming languages like Python or R, often supported by a degree in computer science, statistics, or a related field. Familiarity with databases (e.g., SQL), data visualization tools, and data integration platforms is typically required. Attention to detail, problem-solving ability, and effective communication help you collaborate and ensure data accuracy. These skills are essential for transforming raw data into usable formats, enabling informed decision-making and supporting business intelligence efforts.

How much do data wranglers make?

Data wranglers typically earn between $50,000 and $80,000 annually, depending on experience, location, and industry. Entry-level positions may start lower, while experienced data wranglers with specialized skills can earn higher salaries, especially in tech or finance sectors.

What is the difference between Data Wrangler Flexible vs Data Analyst?

AspectData Wrangler FlexibleData Analyst
Required CredentialsBasic data handling skills, often no formal certification requiredBachelor's degree in data-related fields, certifications like CAP or Microsoft Data Analyst often preferred
Work EnvironmentData preparation, cleaning, and formatting in various industriesAnalyzing data, creating reports, and providing insights
Employer & Industry UsageUsed across tech, finance, healthcare, and marketing sectors for data preprocessingCommonly employed in business intelligence, finance, and consulting firms

While Data Wrangler Flexible focuses on data cleaning and preparation, Data Analyst involves interpreting data and generating insights. Both roles require familiarity with data tools, but Data Analysts typically have more advanced analytical skills and certifications. Understanding these differences helps employers and job seekers align expectations and skills for each position.

What cities are hiring for Data Wrangler Flexible jobs? Cities with the most Data Wrangler Flexible job openings:
What are the most commonly searched types of Data Wrangler jobs? The most popular types of Data Wrangler jobs are:
What states have the most Data Wrangler Flexible jobs? States with the most job openings for Data Wrangler Flexible jobs include:
Infographic showing various Data Wrangler Flexible job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 69% Full Time, 28% Part Time, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Data Engineer

MegazoneCloud

Rochester, NY • On-site

$110K - $140K/yr

Full-time

Posted 7 days ago


Job description

Who We're Looking For
Megazone Cloud is looking for a Data Engineer to be a backbone of our data-driven culture. You are a "builder" with a true thirst for knowledge and a startup mentality. You're not afraid to be a "jack of all trades" and you thrive in an environment where you can think fast and see your work directly impact customers. You have a strong background in data wrangling and are an expert in Databricks or Snowflake, with deep skills in Python, SQL, and AWS.
What You'll Do
  • Design, build, and scale: Create and maintain resilient, high-performance data pipelines and infrastructure on AWS.
  • Own the data ecosystem: Master our data environment, leveraging Databricks and/or Snowflake to wrangle, transform, and prepare data for analysis and product use.
  • Write mission-critical code: Develop clean, optimized, and automated solutions using Python and SQL to solve complex data challenges.
  • Collaborate and multiply: Work as a "force multiplier" within our cross-functional teams, partnering with data science, development, and infrastructure to tackle big-picture projects.
  • Be a flexible builder: Embrace a "builder" mentality. In a startup, you'll have the flexibility to work on diverse challenges and your ideas will be heard, from intern to executive.
What You Bring (Requirements)
  • 3-5+ years of professional data engineering experience.
  • 2-3+ years of hands-on experience with Python.
  • 2-3+ years of hands-on experience with SQL.
  • Proven, professional experience with Databricks OR Snowflake (certifications or experience with both is a huge plus).
  • Solid experience building and managing data solutions on AWS.
  • Proven experience in data wrangling and building robust data pipelines.
  • A "builder" mindset, a startup mentality, and a genuine thirst for knowledge.
  • Exceptional communication skills and the flexibility to think fast.
  • A strong team-player mentality, with experience navigating team dynamics and collaborating effectively to solve problems.
Bonus Points (Nice-to-Haves)
  • Experience with GenAI, AI/ML frameworks, and MLOps.
  • Certifications in Databricks, Snowflake, or AWS.
Why You'll Love It Here
  • Our Product is Our People: We live by this. We invest in people who invest in themselves. Your growth is our growth.
  • True Servant Leadership: Our CTO leads with a "force multiplier" philosophy. Management is here to empower you and clear roadblocks, not to micromanage. We won't ask you to do anything we're not willing to do ourselves.
  • Flat Organization, Real Impact: Your voice and designs will directly shape our technical roadmap and our clients' success. You'll work on the latest tech to solve real problems.
  • A "Learn-from-it" Culture: We're moving fast and building new things. We believe mistakes are learning opportunities, not failures.

We seek diverse talent who are ready to make an immediate impact. We believe that innovation thrives when teams are built with a variety of backgrounds, experiences, and perspectives. If you are excited by this mission, we encourage you to apply, even if your experience doesn't perfectly match every qualification listed.
Megazone Cloud is an Equal Opportunity Employer and participates in E-Verify to confirm the employment eligibility of all new hires.