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Remote Data Transformation Jobs in Washington, DC

Data Society

BI Reporting Engineer

Washington, DC · Remote

$117K - $140K/yr

The Data Lodge, a pioneer in data literacy and cultural transformation * Data Society, delivering ... This role is work-from-home (remote) though must be able to commute to client offices in Falls ...

Data Society

BI Reporting Engineer

Washington, DC · On-site +1

$129K - $155K/yr

The Data Lodge, a pioneer in data literacy and cultural transformation * Data Society, delivering ... This role is work-from-home (remote) though must be able to commute to client offices in Falls ...

Edgesource

Data Engineer

Centreville, VA · On-site +1

$113K - $136K/yr

Document pipelines, data schemas, and transformations clearly. * Communicate technical concepts ... Schedules (Remote / Hybrid) - - Medical / Dental / Vision / Flexible Spending Account (FSA ...

10a Labs

Data Engineer, Web Scraping

Washington, DC · Remote

$105K - $125K/yr

Prepare data for further analysis, including data cleaning, transformation, anonymization, and ... Fully remote, U.S.-based * Health Benefits: Comprehensive health, dental, and vision coverage

Inova

Sr. HR Analytics Analyst

Fairfax, VA · On-site +1

$90K - $119K/yr

This remote role will be full-time day shift working Monday - Friday. The Sr. HR Analytics Analyst ... Applies hands on methods for streamlining and standardizing data extraction, data transformation ...

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All JobsData Transformation JobsRemote Data Transformation JobsRemote Data Transformation Jobs in Washington, DC

Remote Data Transformation information

What is a remote data transformation?

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 are the key skills and qualifications needed to thrive as a remote data transformation specialist?

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 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.

What are popular job titles related to Remote Data Transformation jobs in Washington, DC?

For Remote Data Transformation jobs in Washington, DC, the most frequently searched job titles are:

What job categories do people searching Remote Data Transformation jobs in Washington, DC look for?

The top searched job categories for Remote Data Transformation jobs in Washington, DC are:

Remote Data Transformation jobs near you

Senior BI Data Researcher

Dhaka Technologies Limited Company

Washington, DC • Remote

$140K - $160K/yr

Full-time

Posted 7 days ago

Job description

Job Title: Senior BI Data Researcher
Work Arrangement: 100% Remote
Location: Remote (United States)
Employment Type: Full Time
Engagement Type: Direct Hire
Final Interview:

Position Summary

Dhaka Technologies Limited Company is hiring a Senior BI Data Researcher for a direct-hire client in the education and research sector. This is a full-time, 100% remote position with a base salary of $140,000 to $160,000 per year. The role focuses on advanced research and engineering across the modern data landscape, including big data management, self-service data cleaning and transformation at scale, data quality, search and discovery of structured data, information extraction, time-series and heterogeneous data analytics, metadata management, applied AI, machine learning and data mining, data visualization, and natural language processing. The work also spans big data systems concerns such as resource management, storage, caching, query processing, query optimization, security, and privacy.

Key Responsibilities

  1. Investigate heterogeneous data management techniques and polystore systems, including the application of AI and machine learning techniques to foundational data management problems such as data quality, data profiling, data integration, and schema matching.
  2. Develop tools and frameworks that enable scalable development of machine learning models and data science algorithms across data domains, including tabular, time series, text, audio, and video.
  3. Create distributed data processing architectures that leverage compute at the edge to enable novel use cases and applications such as predictive routing, data-driven experiences, and adaptive environments.
  4. Collaborate with peer research teams to identify and pursue data-related opportunities in adjacent domains, including applied AI and machine learning in audio and video.

Required Skills and Qualifications

  1. PhD in Computer Science or a closely related field.
  2. Strong background in relational databases, big data systems, and data analytic systems.
  3. Expertise in data management, data cleaning, distributed systems, database storage engines, query processing, query optimization, and applied data science.
  4. Hands-on experience developing machine learning models and data science algorithms across diverse data types, including tabular, time series, text, audio, and video.
  5. Working knowledge of Git and project management tools such as JIRA.

How to Apply

To apply, please submit your resume to talent@dhakatech.us with the job title in the subject line. Qualified candidates will be contacted for the next steps in the selection process.

This is a remote position.