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Full Time Data Transformation Jobs (NOW HIRING)

Data Engineer (Cycle)

Washington, DC · Remote

$85K - $100K/yr

Position DescriptionAmerica Votes is looking for a full-time Data Engineer for the 2026 cycle. This ... transformation, scripting, or working with APIs.Experience using Git and other command line tools.

Data Engineer (Cycle)

Washington, DC · On-site

$85K - $100K/yr

Position Description America Votes is looking for a full-time Data Engineer for the 2026 cycle ... transformation, scripting, or working with APIs. * Experience using Git and other command line ...

Position Description America Votes is looking for a full-time Data Engineer for the 2026 cycle ... transformation, scripting, or working with APIs. * Experience using Git and other command line ...

Jr. Data Engineer

Herndon, VA · On-site

$180K - $230K/yr

Experience with ETL tools/data transformation/data pipeline. * Experience taking data collection ... UNAVAILABLEEmployment Type: FULL_TIME

... full time, work experience as a data scientist solving complex problems. Must be highly experienced with data cleanups, data wrangling, data transformation, feature engineering, anomaly handling ...

... full time, work experience as a data scientist solving complex problems. Must be highly experienced with data cleanups, data wrangling, data transformation, feature engineering, anomaly handling ...

Enterprise Data Engineer

Chantilly, VA · On-site

$118K - $142K/yr

Implement data transformations, enrichment, and modeling workflows to ensure data quality and ... UNAVAILABLEEmployment Type: FULL_TIME

... Type Full-Time Career Level Experienced (Non-Manager) Education High School / GED Security ... data ingestion, transformation, modeling, validation, visualization, troubleshooting, and ...

Data Engineer

$117K - $140K/yr

Remote US Full time role Strict instruction don't submit consultants more than 8 to 12 years ... reliable data transformation and feature extraction pipelines * Collaborate with business and ...

Data Engineer 2

Olathe, KS · On-site

$110K - $133K/yr

Overview We are seeking a full-time Data Engineer 2 at Garmin's U.S. headquarters in the Greater ... Building data models and transformations inside PowerBI * Experience with real-time streaming ...

Data Engineer

Vienna, VA · On-site

$120K - $135K/yr

Leveraging deep expertise in federal acquisition, digital transformation, and emerging technologies ... This is a full-time, on-site position based in Vienna, VA (3-5 days/week on-site; hybrid ...

This individual will have a chance to be a TGS full time employee. Top Skills' Details 10+ years ML ... A cornerstone of this roadmap is the acceleration of its data transformation and of the adoption of ...

Data Engineer

Vienna, VA · On-site

$120K - $135K/yr

Leveraging deep expertise in federal acquisition, digital transformation, and emerging technologies ... This is a full-time, on-site position based in Vienna, VA (3-5 days/week on-site; hybrid ...

This individual will have a chance to be a TGS full time employee. Top Skills' Details 10+ years ML ... A cornerstone of this roadmap is the acceleration of its data transformation and of the adoption of ...

This individual will have a chance to be a TGS full time employee. Top Skills' Details 10+ years ML ... A cornerstone of this roadmap is the acceleration of its data transformation and of the adoption of ...

Showing results 21-40

Full Time Data Transformation information

What is a full time data transformation?

A Full Time Data Transformation job involves converting data from one format, structure, or system to another to ensure it is accurate, consistent, and usable for analysis or business processes. Professionals in this role typically work with large datasets, using tools and programming languages such as SQL, Python, or ETL (Extract, Transform, Load) platforms. They collaborate with data engineers, analysts, and business stakeholders to design workflows that streamline data integration, migration, or cleansing. This role is crucial in organizations that rely on data-driven decision-making, as it ensures high-quality, accessible data across systems.

What are the key skills and qualifications needed to thrive as a full time data transformation specialist?

To excel as a Full Time Data Transformation Specialist, you need strong analytical skills, proficiency in data modeling, and a relevant degree in computer science or a related field. Familiarity with ETL tools (such as Informatica, Talend, or Apache NiFi), SQL, and cloud data platforms is typically required, along with certifications in data management or analytics. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills for translating business needs into technical solutions. These competencies ensure accurate, efficient data integration and enable organizations to make data-driven decisions.

What are some common challenges faced in a full time data transformation role, and how can I prepare for them?

In a Full Time Data Transformation role, you may encounter challenges such as handling inconsistent data sources, managing large volumes of data, and ensuring data quality throughout the transformation process. It’s important to develop strong problem-solving skills and familiarity with ETL tools, as well as a solid understanding of data governance and documentation practices. Collaborating effectively with data engineers, analysts, and business stakeholders is also crucial to ensure that transformed data meets organizational needs. Staying updated on best practices and being adaptable to evolving technologies will help you succeed and grow in this field.

What is the difference between Full Time Data Transformation vs Data Analyst?

AspectFull Time Data TransformationData Analyst
Required CredentialsBachelor's in CS, Data Science, or related field; experience with ETL toolsBachelor's in Statistics, Business, or related field; proficiency in Excel and SQL
Work EnvironmentData teams, IT departments, project-basedBusiness units, reporting teams, cross-functional
Industry UsageTech, finance, healthcare, retailFinance, marketing, consulting, healthcare
Common Search/ComparisonFull Time Data Transformation vs Data Analyst

Full Time Data Transformation roles focus on designing and implementing data pipelines, ETL processes, and data integration. Data Analysts primarily analyze data to generate reports and insights. While both roles require data skills, Data Transformation emphasizes data engineering tasks, whereas Data Analysts focus on data interpretation and visualization.

More about Full Time Data Transformation jobs

What cities are hiring for Full Time Data Transformation jobs?

Cities with the most Full Time Data Transformation job openings:

What are the most commonly searched types of Data Transformation jobs?

The most popular types of Data Transformation jobs are:

Infographic showing various Full Time Data Transformation job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 12% Part Time, and 2% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution.

Actuarial Associate - AI and Data Transformation

Jersey City, NJ • On-site

Verisk
Library and Information Services • 5 - 10K employees

$120K - $150K/yr

Full-time

Medical, Retirement, PTO

Posted 6 days ago


Verisk rating

7.6

Company rating: 7.6 out of 10

Based on 129 frontline employees who took The Breakroom Quiz


Job description


Verisk's ISO loss costs and robust statistical data have empowered the P&C industry for decades. New technology promises to help insurers operationalize this data in new ways. For example, natural language chat can augment legacy reports and dashboards. Agentic workflows can help solve repetitive, manual processes. And users can take advantage of semi-structured data across multiple data sources more easily than ever. You will help make this possible for our client insurers.
Achieving this reality requires leaders who can imbue the thoroughness, accuracy, and expertise that the insurance industry demands. We've already proven this is possible: We recently launched an MCP connector exposing our underwriting intelligence.
We are seeking a leader to own this initiative full-time. You will turn early proof points into a roadmap that is regularly delivering new excellence to our customers.
Responsibilities
The Team
You will report directly to our Head of Insights and Actuarial Transformation (who is an actuary), on a team focused on the user experience for our actuarial and data products. We expect 1-2 direct reports for this role (also actuaries) to support these initiatives. This position is hybrid from the Jersey City, NJ office or remote from elsewhere with an expectation of working Eastern Time Zone hours.
This role sits at the intersection of our powerful actuarial data, our operational teams who produce the data, and our developer teams who help ship the data through customer-facing infrastructure (including emerging AI technology). You will be the lead stakeholder who ties it all together and ensures we deliver valuable capabilities for our customers.
What You'll Do
  • Own the AI & data transformation roadmap for ISO loss costs and related data. Set realistic, well-scoped deliverables and timelines for how our data gets exposed to and consumed by AI systems.
  • Scope and design the actuarial workflows and data logic that get built into AI-facing and customer-facing tools. You will help create new components and automation that help customers realize value from our loss costs and related data. Your understanding of actuarial and insurance product workflows will make the "intelligence" behind our AI tools smarter and more precise. You will help ensure our solutions are not merely nice-to-have but are adding meaningful value.
  • Reduce friction for data consumption. Build solutions that plug into a variety of AI architectures and ensure that Verisk's specialized intelligence is maintained throughout.
  • Bridge operational and technical teams. Work closely with the teams that build our core data assets and the teams that maintain customer-facing infrastructure, so both are building toward the same architecture rather than in parallel.

As the world of AI is new and fast-moving, you are not expected to be a technology expert. The role, however, demands you to be an insurance expert. You will make sure that the workflows are built to empower the people that drive success in our industry. You will bring actuarial rigor, use programming creativity, and fill knowledge gaps through collaboration.
Qualifications
  • Bachelor's degree in actuarial science, mathematics, statistics, or a related major.
  • At least 4 - 6 years of P&C actuarial experience with a focus on pricing or underwriting functions required.
  • Associate of the Casualty Actuarial Society (ACAS) preferred. Exam 5 required.
  • Proficiency in actuarial software and tools (e.g., R and/or Python, SQL, Excel).
  • High degree of agency and ownership; demonstrated ability to operate independently, drive projects forward with limited oversight, and take accountability for outcomes across the full lifecycle of a process or product build.
  • Familiarity with ISO loss costs and/or ISO data products, circulars, etc. is a plus.
  • Interest or experience in generative AI tools is a plus; candidates should be able to speak to how they've used AI on or off the job.
  • Demonstrated ability to work effectively under uncertainty and ambiguity. Experience working with complex and diverse datasets and non-standardized processes.
  • Good interpersonal, oral, and written communication skills, with the ability to explain technical concepts clearly to teammates. Ability to present to audiences and high-profile stakeholders on occasion.
  • Comfort working with external clients and internal stakeholders to advance actuarial solutions to their unique technical problems.

We value people who can foster a culture of actuarial excellence and an appreciation for our industry.
#LI-MC1
About Us
For over 50 years, Verisk has been the leading data analytics and technology partner to the global insurance industry by delivering value to our clients through expertise and scale. We empower communities and businesses to make better decisions on risk, faster.
At Verisk, you'll have the chance to use your voice and build a rewarding career that's as unique as you are, with work flexibility and the support, coaching, and training you need to succeed.
For the eighth consecutive year, Verisk is proudly recognized as a Great Place to Work® for outstanding workplace culture in the US, the fourth consecutive year in the UK, Spain, and India, and the second consecutive year in Poland. In addition, we've been recognized by The Wall Street Journal as one of the Best-Managed Companies and by Forbes as a World's Best Employer, testaments to the value we place on workplace culture.
We're 7,000 people strong. We relentlessly and ethically pursue innovation. And we are looking for people like you to help us translate big data into big ideas. Join us and create an exceptional experience for yourself and a better tomorrow for future generations.
Verisk Businesses
Underwriting Solutions - provides underwriting and rating solutions for auto and property, general liability, and excess and surplus to assess and price risk with speed and precision
Claims Solutions - supports end-to-end claims handling with analytic and automation tools that streamline workflow, improve claims management, and support better customer experiences
Property and Restoration Solutions - offers property estimation software and tools for professionals in estimating all phases of building and repair to make day-to-day workflows the most efficient
Specialty Business Solutions - provides an integrated suite of software for full end-to-end management of insurance and reinsurance business, helping companies manage their businesses through efficiency, flexibility, and data governance
Catastrophe and Risk Solutions - provides risk modeling solutions to help individuals, businesses, and society become more resilient to catastrophic events.
Marketing Solutions - delivers data and insights to improve the reach, timing,relevance, and compliance of every consumer engagement
Life Insurance Solutions - offers end-to-end, data insight-driven core capabilities for carriers, distribution, and direct customers across the entire policy lifecycle of life and annuities for both individual and group.
Verisk Maplecroft - provides intelligence on sustainability, resilience, and ESG, helping people, business, and societies become stronger
Verisk Analytics is an equal opportunity employer.
Verisk invests in a benefits package for all employees that includes the following: Health Insurance, a Retirement Plan, Disability benefits, and a Paid Time Off program. We offer a competitive total rewards package that includes base salary determined based on role, experience, skill set, and location.
All members of the Verisk Analytics family of companies are equal opportunity employers. We consider all qualified applicants for employment without regard to race, religion, color, national origin, citizenship, sex, gender identity and/or expression, sexual orientation, veteran's status, age or disability. Verisk's minimum hiring age is 18 except in countries with a higher age limit subject to applicable law.
https://www.verisk.com/company/careers/
Unsolicited resumes sent to Verisk, including unsolicited resumes sent to a Verisk business mailing address, fax machine or email address, or directly to Verisk employees, will be considered Verisk property. Verisk will NOT pay a fee for any placement resulting from the receipt of an unsolicited resume.
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About Verisk

Sourced by ZipRecruiter

Verisk is a top-tier data analytics organization based in Jersey City, NJ, US, known for its deep industry knowledge and analytical prowess. Operating in the global risk assessment industry, it provides predictive analytics and decision support solutions to a wide range of industries like insurance, natural resources, financial services, government, and health care. Founded in 1971, Verisk operates on a mission of helping customers make superior decisions to minimize risk. With an organic growth strategy, Verisk offers a diverse portfolio of solutions, like risk assessment and decision analytics, that help businesses understand and manage their risks.

Industry

Library and information services

Company size

5,001 - 10,000 Employees

Headquarters location

Jersey City, NJ, US

Year founded

1971

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