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Remote Data Jobs (NOW HIRING)

Kaizen Analytix LLC

Data Engineer

Atlanta, GA · On-site +1

$112K - $134K/yr

Position Overview Kaizen Analytix is seeking an experienced remote Data Engineer to support a critical data conversion and migration initiative for a leading legal services client. This role will be ...

Kaizen Analytix

Data Engineer

Atlanta, GA · Remote

$117K - $140K/yr

Position Overview Kaizen Analytix is seeking an experienced remote Data Engineer to support a critical data conversion and migration initiative for a leading legal services client. This role will be ...

Adecco

Data Control Analyst

Morristown, NJ · On-site +1

$27 - $32/hr

Adecco is assisting a local client recruiting for a remote Data Control Analyst . This is an excellent opportunity to get your foot in the door with a leading global pharmaceutical organization known ...

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Remote Data information

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$46K

$165K

$243.5K

How much do remote data jobs pay per year?

As of Jun 9, 2026, the average yearly pay for remote data in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What are some common challenges faced when working as a Remote Data Analyst, and how can they be addressed?

Remote Data Analysts often face challenges such as maintaining effective communication with team members, managing access to secure data, and staying aligned with project goals across different time zones. These can be addressed by leveraging collaboration tools like Slack or Microsoft Teams, following strict data security protocols, and participating in regular virtual meetings to ensure everyone is on the same page. Proactive communication and strong organizational skills are key to thriving in a remote data role.

What is the difference between Remote Data vs Remote Data Analyst?

AspectRemote DataRemote Data Analyst
Required CredentialsBachelor's in Data Science, Computer Science, or related field; knowledge of databases and data toolsBachelor's in Data Science, Statistics, or related; proficiency in data analysis tools like Excel, SQL, and visualization software
Work EnvironmentRemote, often independent, with collaboration via online platformsRemote, involves analyzing data sets, creating reports, and communicating findings
Employer & Industry UsageTech companies, finance, healthcare, and e-commerceBusiness, marketing, finance, and tech sectors

Remote Data generally refers to roles focused on managing and processing data, while Remote Data Analyst emphasizes analyzing data to generate insights. Both roles often require similar educational backgrounds and work remotely, but Data Analysts typically focus more on interpreting data and creating reports for decision-making.

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

To thrive as a Remote Data Analyst, you need strong analytical skills, proficiency in statistics, and a background in data science or a related field. Familiarity with data analysis tools such as Python, R, SQL, and platforms like Tableau or Power BI, along with relevant certifications, is typically required. Excellent self-motivation, time management, and communication skills help you stand out in a remote environment. These capabilities are crucial for delivering accurate insights, collaborating effectively from a distance, and meeting business objectives efficiently.

What are remote data jobs?

Remote data jobs are positions that involve collecting, analyzing, managing, or interpreting data while working from a location outside the traditional office environment. These roles can include data analysts, data scientists, data entry specialists, and database administrators, among others. Remote data professionals use online tools and platforms to access and process data, collaborate with teams, and deliver insights or reports. This flexible work arrangement allows individuals to contribute to data-driven projects from anywhere with an internet connection.
More about Remote Data jobs
What cities are hiring for Remote Data jobs? Cities with the most Remote Data job openings:
What are the most commonly searched types of Data jobs? The most popular types of Data jobs are:
What states have the most Remote Data jobs? States with the most job openings for Remote Data jobs include:
What job categories do people searching Remote Data jobs look for? The top searched job categories for Remote Data jobs are:
Remote Data jobs near you
Infographic showing various Remote Data job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 94% Full Time, 4% Part Time, and 1% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.
Data Engineer

Data Engineer

Kaizen Analytix LLC

Atlanta, GA • On-site, Remote

$112K - $134K/yr

Contractor

Posted 7 days ago

Job description

About Kaizen Analytix
Kaizen Analytix is a technology and analytics consulting firm specializing in data, AI, cloud, and digital transformation solutions. We help organizations modernize their data ecosystems, optimize business processes, and accelerate decision-making through innovative technology solutions and deep industry expertise. Our consultants partner closely with clients to deliver measurable business outcomes through data-driven innovation, scalable architecture, and operational excellence.
Position Overview
Kaizen Analytix is seeking an experienced remote Data Engineer to support a critical data conversion and migration initiative for a leading legal services client. This role will be responsible for cleansing, transforming, consolidating, and validating historical workforce and financial system data while developing automated data conversion processes that improve quality, consistency, and efficiency.
The ideal candidate combines strong technical data engineering expertise with the ability to work directly with business stakeholders to translate business requirements into scalable data solutions. This is a highly visible client-facing role requiring excellent communication skills, strong attention to detail, and the ability to operate independently in a fast-paced environment.
Key Responsibilities
  • Analyze and consolidate historical workforce, FTE, and timekeeper data from multiple source systems.
  • Design and develop automated data conversion and transformation processes to reduce manual effort and improve data quality.
  • Extract data from APIs, databases, flat files, and other structured and unstructured sources.
  • Perform data cleansing, standardization, validation, and enrichment activities to ensure data integrity.
  • Transform and map source data to align with target system requirements and reporting standards.
  • Produce standardized output files and datasets that conform to the target application's native data model.
  • Partner with business stakeholders to gather requirements and translate business needs into technical data solutions.
  • Conduct data quality assessments, reconciliation, and validation activities throughout the migration lifecycle.
  • Support testing, dry-run conversions, and production migration activities.
  • Troubleshoot data issues and implement corrective actions as needed.
  • Document data mappings, transformation rules, conversion logic, and validation procedures.
  • Collaborate with project managers, business analysts, and client stakeholders to ensure successful project delivery.
Required Qualifications
  • 5+ years of professional experience in Data Engineering, ETL Development, Data Integration, or related fields.
  • Strong experience extracting, transforming, and loading data from multiple data sources.
  • Experience working with relational databases and writing complex SQL queries.
  • Proven ability to cleanse, standardize, and reconcile large datasets.
  • Experience developing automated data transformation and migration solutions.
  • Strong analytical and problem-solving skills.
  • Ability to work independently with minimal supervision.
  • Excellent verbal and written communication skills.
  • Experience working directly with business stakeholders and translating business requirements into technical solutions.
  • Strong understanding of data quality, governance, and validation best practices.
Preferred Qualifications
  • Experience with Elite 3E or similar legal, professional services, ERP, or financial management systems.
  • Prior experience supporting data migration, system conversion, or ERP implementation projects.
  • Familiarity with data integration tools, APIs, and modern cloud-based data platforms.
  • Experience supporting financial, workforce, or operational data conversion initiatives.

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