ZipRecruiter

Log In

2

Remote Data Transformation Jobs (NOW HIRING)

Ekman Associates

$106K - $127.20K/yr

Remote / Remote Commutable Ekman Associates, Inc. is a Southern California based company focused on ... Manage data ingestion and transformation pipelines feeding into an event house or lakehouse ...

Pediatric Associates

Sr Data Engineer

Plantation, FL · Remote

$109.10K - $131K/yr

... SQL and complex data transformation logic to support analytics and reporting. 8)Monitor ... TYPICAL WORKING CONDITIONS • Full time remote/telework OTHER PHYSICAL REQUIREMENTS • Vision • ...

Zantech

Data Analyst

San Antonio, TX · On-site +1

Perform remote data collection, cleaning, transformation, and analysis * Apply statistical methods and machine learning techniques to datasets * Develop visualizations and dashboards using Tableau ...

Zantech

Data Analyst

Oklahoma City, OK · Remote

Perform remote data collection, cleaning, transformation, and analysis * Apply statistical methods and machine learning techniques to datasets * Develop visualizations and dashboards using Tableau ...

Zantech

Data Analyst

San Antonio, TX · Remote

Perform remote data collection, cleaning, transformation, and analysis * Apply statistical methods and machine learning techniques to datasets * Develop visualizations and dashboards using Tableau ...

Zantech

Data Analyst

Oklahoma City, OK · On-site +1

Perform remote data collection, cleaning, transformation, and analysis * Apply statistical methods and machine learning techniques to datasets * Develop visualizations and dashboards using Tableau ...

CyberCoders

Senior Data Engineer - Analytics

Bristol, PA · Remote

$103.70K - $140.90K/yr

Senior Data Engineer - Analytics Senior Data Engineer, Analytics Location: 100% Remote Position ... The role is focused on designing and implementing data models, transformation pipelines, and APIs ...

mSupply

Data Engineer

$117.20K - $140.70K/yr

Write and optimize SQL queries and Python scripts for data transformation, validation, and ad hoc ... Duties are primarily performed in an office or remote work environment. * Primarily sedentary work ...

Wisconsin

Data Scientist II

Madison, WI · On-site +1

$80K/yr

It is anticipated that this position will be remote and requires work be performed at an offsite ... Prepares data sets for analysis including cleaning/quality assurance, transformations ...

Apex Informatics

Data Engineer

$117.20K - $140.70K/yr

Remote Duration: 06 Months (C2H Role) Main Skills: Data Engineer/ Python/Pyspark/ SQL/ ETL/ DBT ... transformation tools § Experience in Mulesoft API § Nice to have: Kafka, Tableau • Strong ...

Apex Informatics

DATA ENGINEER

$117.20K - $140.70K/yr

Remote Duration: 06 Months (C2H Role) Main Skills: Data Engineer/ Python/Pyspark/ SQL/ ETL/ DBT ... Experience in Data Build Tool ( DBT ) or similar data transformation tools * Experience in Mulesoft ...

Fusion HCR

MuleSoft Integration Developer

Las Vegas, NV · Remote

$46 - $61/hr

Las Vegas Preferred, open to remote Type: 6-Month Contract Position Overview Fusion HCR is seeking ... Support data transformation, orchestration, and API lifecycle management * Troubleshoot and ...

Esko

Data Migration Specialist - Bilingual

$60K - $80K/yr

This position will be Remote. In this role, a typical day will look like: * Data Migration: Execute end-to-end data migrations including source analysis, schema mapping, data transformation, and ...

next page

Showing results 1-20

People also search for

All JobsRemote Data Transformation Jobs

Remote Data Transformation information

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

A Remote Data Transformation Specialist needs strong analytical abilities, proficiency in data management, and a solid understanding of databases and data modeling, often supported by a degree in computer science, information systems, or related fields. Familiarity with ETL (Extract, Transform, Load) tools, SQL, and cloud-based data platforms like AWS or Azure is typically required, along with relevant certifications such as AWS Certified Data Analytics. Excellent problem-solving skills, attention to detail, and effective remote communication are vital soft skills for collaborating with distributed teams. These competencies ensure accurate, efficient data processing and integration, which are crucial for data-driven decision-making in modern organizations.

What are some common challenges faced in a remote data transformation role and how can they be addressed?

In a remote data transformation role, common challenges include managing large data sets across multiple platforms, ensuring data quality, and maintaining clear communication with distributed teams. Working remotely can make it harder to quickly clarify requirements or spot inconsistencies, so adopting strong documentation practices and regular check-ins are essential. Utilizing collaborative tools for version control, data sharing, and workflow management helps streamline processes and reduce errors. Proactively communicating progress and blockers with cross-functional teams ensures alignment and timely project delivery.

What is a Remote Data Transformation job?

A Remote Data Transformation job involves converting, cleaning, and organizing data from one format or structure to another, all while working from a remote location. Professionals in this role use various tools and programming languages, such as SQL, Python, or ETL platforms, to ensure data is accurate, consistent, and usable for analytics or business processes. They often collaborate with data engineers, analysts, and other stakeholders to understand data requirements and deliver high-quality transformed datasets. This role is crucial for organizations that rely on data-driven decision-making and need to integrate information from multiple sources.

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

AspectRemote Data TransformationRemote Data Analyst
Primary RoleDesigning, developing, and implementing data transformation processesAnalyzing data to identify trends, generate reports, and support decision-making
Skills & CertificationsSQL, ETL tools, data modeling, scripting languagesExcel, SQL, data visualization tools, statistical knowledge
Work EnvironmentData engineering teams, cloud platforms, data warehousesBusiness units, analytics teams, reporting platforms
Industry UsageData engineering, software development, cloud servicesBusiness intelligence, marketing, finance

Remote Data Transformation specialists focus on creating and managing data pipelines and transforming raw data into usable formats. In contrast, Remote Data Analysts interpret data to generate insights and support strategic decisions. Both roles require strong technical skills, but their core responsibilities differ in focus and output.

More about Remote Data Transformation jobs
What cities are hiring for Remote Data Transformation jobs? Cities with the most Remote 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 states have the most Remote Data Transformation jobs? States with the most job openings for Remote Data Transformation jobs include:
What job categories do people searching Remote Data Transformation jobs look for? The top searched job categories for Remote Data Transformation jobs are:
Remote Data Transformation jobs near you
Infographic showing various Remote Data Transformation job openings in the United States as of May 2026, with employment types broken down into 59% Full Time, 6% Part Time, 2% Temporary, and 33% Contract. Highlights an 88% Physical, 1% Hybrid, and 11% Remote job distribution.
Data Engineer

Data Engineer

Ekman Associates

Remote

$106K - $127.20K/yr

Full-time

This job post has expired 2 days ago. Applications are no longer accepted.

Job description

Title: Data Engineer Location: Remote / Remote Commutable Ekman Associates, Inc. is a Southern California based company focused on the following services: Management Consulting, Professional Staffing Solutions, Executive Recruiting and Managed Services. Summary: As a Data Engineer, you will play a key role in designing and building scalable, real-time and batch data solutions that power analytics and operational platforms.

This role will focus on building and maintaining API connectors, setting up event-driven data pipelines, managing data flow into an event house or lakehouse, and ensuring data quality and reliability throughout. Ability to collaborate with cross-functional teams to enable the efficient movement and transformation of data for enterprise use. Responsibilities : API Connector Development: Build, maintain, and document scalable API integrations with internal and external platforms to automate data ingestion and synchronization.

Event-Driven Architecture: Design and implement data pipelines using event-driven frameworks and messaging systems (e.g., Kafka, Kinesis) to support real-time analytics and operational use cases. Data Lakehouse Engineering: Manage data ingestion and transformation pipelines feeding into an event house or lakehouse architecture, ensuring consistency and scalability across datasets. Data Transformation & Orchestration: Use ETL/ELT tools and scripting to clean, transform, and enrich data from various sources into usable formats for analysts and stakeholders.

Data Quality & Validation: Establish automated validation rules, monitor data integrity, and proactively resolve quality issues to ensure trust in data systems. Collaboration & Enablement: Partner with analytics, business, and engineering teams to understand data requirements and deliver scalable solutions that meet evolving needs. Qualifications: Bachelor's degree in Computer Science, Engineering, Data Science, or a related field, or equivalent experience.

3-6 years of experience as a data engineer or in a similar backend data role. Experience building and maintaining API integrations and event-driven data pipelines. Proficiency in SQL and data pipeline scripting (e.g., Python, PySpark).

Experience with cloud platforms such as AWS, Azure, or Google Cloud (e.g., S3, Redshift, Snowflake, or Databricks). Familiarity with event streaming platforms such as Apache Kafka, Kinesis, or similar. Strong attention to detail with a commitment to data accuracy and quality assurance.

Ability to thrive in a fast-paced, collaborative environment. Experience with CI/CD pipelines and infrastructure-as-code tools (e.g., Terraform, GitHub Actions). Familiarity with lakehouse architecture principles and tools like Delta Lake or Apache Iceberg.

Experience building robust logging, error handling, and monitoring for data pipelines. Understanding of data governance, privacy, and compliance principles. Strong documentation and communication skills, with the ability to explain technical solutions to non-technical stakeholders.

Qualified Candidates Only : If you wish to learn more about this opportunity and additional qualifications/responsibilities, please submit your resume. To learn more about Ekman Associates, Inc. please visit our website at www.ekmanassociates.comaa415a4b-8b21-40fc-a65c-70d2b25ca29a

Apply