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Full Time Data Transformation Jobs (NOW HIRING)

SRP Systems Inc

Senior Data Scientist

Princeton, NJ

... 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 ...

SRP Systems Inc

Senior Data Scientist

Princeton, NJ · On-site

... 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 ...

DevIQ

Databricks Data Engineer

Denver, CO · On-site +1

$120K - $140K/yr

From true innovation and synergetic cloud & technology partnerships to competitive full-time ... Develop and maintain data transformation workflows in Databricks using Delta Lake, Spark notebooks ...

DevIQ

Databricks Data Engineer

Denver, CO · On-site

$120K - $140K/yr

From true innovation and synergetic cloud & technology partnerships to competitive full-time ... Develop and maintain data transformation workflows in Databricks using Delta Lake, Spark notebooks ...

DevIQ

Databricks Data Engineer

Denver, CO · On-site +1

From true innovation and synergetic cloud & technology partnerships to competitive full-time ... Develop and maintain data transformation workflows in Databricks using Delta Lake, Spark notebooks ...

IGNITE

DATA ENGINEER/DATA ANALYST

Huntsville, AL · On-site

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

Level Data LLC

Data Solutions Specialist

Boston, MA · Remote

$65K - $70K/yr

Full-time | Data & Analytics **About the role** Data is at the heart of everything we do. As a Data ... transformation scripts, and automation tooling using Groovy or similar languages - Lead technical ...

Mastech Digital

Data Modeler

Merrimack, NH · Remote

$60 - $65/hr

Mastech Digital provides digital and mainstream technology staff as well as Digital Transformation ... Need a full time Data Modeler. The Expertise You Have: - Strong Data modeling (Conceptual, Logical ...

Thomson Reuters

Data Engineer

Burlington, VT · On-site

$112K - $135K/yr

... full time, on-site, embedded at US Government offices in the Burlington, VT area. • Data Loading, Data Transformation, Data Extraction, Sharing and Replication • Security features, including ...

ECCLESIASTES INC

Data Scientist/ML Architect

Newark, DE · On-site

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 ...

ECCLESIASTES INC

Data Scientist/ML Architect

Newark, DE · On-site

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 ...

ECCLESIASTES INC

Data Scientist/ML Architect

Newark, DE · On-site

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 ...

In-N-Out Burger

Data Engineer III

Irvine, CA · On-site

$134K - $161K/yr

... transformation logic and operational processes. * Maintain confidentiality and security of sensitive, confidential, and business critical data. Work Schedule + Benefits: * Full-time, Exempt * Office ...

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All JobsFull Time Data Transformation Jobs

Full Time Data Transformation information

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.

What are the key skills and qualifications needed to thrive as a Full Time Data Transformation Specialist, and why are they important?

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 a Full Time Data Transformation job?

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.
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:
What job categories do people searching Full Time Data Transformation jobs look for? The top searched job categories for Full Time Data Transformation jobs are:
Full Time Data Transformation jobs near you
Infographic showing various Full Time Data Transformation job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 85% Full Time, 1% Part Time, 1% Temporary, 11% Contract, and 1% Nights. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution.
Full-time - Data Architect - Santa Clara, CA (Onsite)

Full-time - Data Architect - Santa Clara, CA (Onsite)

Aptiva Corp

Santa Clara, CA • On-site

$74.75 - $96.25/hr

Full-time

Posted 19 days ago

Job description

 

Job Title: Data Architect 

Location: Santa Clara, CA (Onsite)

Mode: Full-time

Must-Have Skills/Experience Required:

  • Master’s or bachelor’s degree in computer science or information system, or equivalent experience.
  • 10+ Years in big data and cloud data warehousing technologies
  • 6+ years of relevant experience including programming knowledge (i.e Pyspark, Python, SQL).
  • 4+ years of relevant experience in big data technologies and cloud platforms (i.e Spark, AWS, Databricks).
  • 2+ years of relevant experience in data lake technologies (i.e Iceberg, Delta, Huidi) and Metadata catalogs (e.g., AWS Glue, Hive, Unity)
  • 5+ years of experience in development best practices like CICD, Unit testing, Integration testing
  • 3+ years of experience grabbing data from source systems like REST APIs, other databases using JDBC, ODBC, SFTP servers etc.
  • Experience handling Planning, forecasting, logistics, fulfilment related Ops data from SAP, Anaplan, Agile PLM, etc.

Key Responsibilities

  • Implement data warehousing and data lake architectures using major cloud platforms like AWS, Azure, Databricks using their services and best practices
  • Enable data virtualization solutions like delta sharing across clouds and platforms with deep understanding of security and networking fundamentals
  • design scalable data pipelines ingesting and transforming structured and unstructured data from multiple sources (file storage, S3, HANA, other databases, SaaS application).
  • Build robust, scalable, and reusable data pipelines that are modular ensuring that data sources, ingestion components, validation functions, transformation functions, and destination are well understood for implementation.
  • Deal with Schema management and evolution. File formats for object storage (Parquet, Avro). Stages of the data pipeline (e.g., Databrick's Bronze/Silver/Gold zones).
  • Understand the data challenges and business requirements and create solutions
  • Create ERDs, complex data model designs understanding the intricacies and relationships of data appropriate for staging stores / data lakes, data warehouses, and data marts.
  • Create and present the systems, data and pipeline designs and documentation to the respective stakeholders and peers for review and feedback.
  • Write and execute automated tests (unit, integration, end-to-end) to ensure code quality and reliability. 
  • Build robust CI/CD design and pipelines using Pulumi, Git, including effective branching strategies, merging, and resolving conflicts. 
  • Create migration paths to unify plethora of data systems to fully managed Databricks
  • Support all the nonfunctional requirements of data, building dashboards for observability, debuggability, alerting and performance monitoring
  • Understand data governance, quality control, policies around data duplication, data definitions, company-wide processes around security and privacy, access control, lineage
  • Coordinate with IAM and other teams to implement Oauth, SSO, data access control and policy enforcement solutions within data lakes and cloud environments enabling secure user access and cross application integrations.
  • Identify and solve complex technical problems effectively communicating and collaborating with stakeholders and explaining technical concepts.
  • Lead discussions with stakeholders and IT to identify and implement the right data strategy given data sources, data locations, and use cases.
  • Build/develop code, frameworks, and data enabling solutions that enable the Ops teams to make critical business decisions.
  • strong technical skills, leadership abilities, and communication skills, enabling the team to design, build, and maintain robust data platform while helping other team members and collaborating effectively across teams.