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Remote Data Capture Jobs in Washington, DC (NOW HIRING)

Data Society

BI Reporting Engineer

Washington, DC · On-site +1

$129K - $155K/yr

... data before stakeholder review. This role is work-from-home (remote) though must be able to commute ... Support report UAT sessions by working directly with business users to validate outputs, capture ...

kgs

Cloud Data Architect (Snowflake), SME

Washington, DC · On-site +1

$72.25 - $92.75/hr

Work will be performed at the client's facility or customer approved remote locations during ... capture, and lifecycle management. * Support performance tuning, cost optimization, workload ...

kgs

Cloud Data Architect (Snowflake), SME

Washington, DC · On-site +1

$72.25 - $92.75/hr

Work will be performed at the client's facility or customer approved remote locations during ... capture, and lifecycle management. * Support performance tuning, cost optimization, workload ...

Deckers

Data Architecture Lead

Washington, DC · On-site +1

United States (Remote) Interested applicants must reside in one of the following approved states ... Facilitate workshops with business and technical stakeholders to capture requirements, refine ...

Evans Inc.

Data Control Analyst

Washington, DC · On-site +1

This role is mostly remote with occasional on-site requirements at the Department of Transportation ... Capture lessons learned from implementation activities and incorporate them into checklists ...

ICF

Salesforce Integration Engineer (Public Trust)

Reston, VA · Remote

$57.75 - $76.50/hr

Remote work is authorized. Must support US Eastern time zone working hours. *If you accept this ... Experience with Salesforce Connect, Platform Events, Change Data Capture, External Services, Named ...

ICF

Salesforce QA Engineer (Public Trust)

Reston, VA · Remote

$57.75 - $76.50/hr

Remote work is authorized. Must support US Eastern time zone working hours. *If you accept this ... Experience with Salesforce Connect, Platform Events, Change Data Capture, External Services, Named ...

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Remote Data Capture information

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How much do remote data capture jobs pay per hour?

As of Sep 10, 2026, the average hourly pay for remote data capture in Washington, DC is $30.55, according to ZipRecruiter salary data. Most workers in this role earn between $18.51 and $48.75 per hour, depending on experience, location, and employer.

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

To thrive as a Remote Data Capture Specialist, you need strong attention to detail, data entry proficiency, and a solid understanding of data management processes, often backed by a high school diploma or relevant experience. Familiarity with data capture software, spreadsheets (like Microsoft Excel or Google Sheets), and database management systems is typically required. Excellent organization, time management, and communication skills help you efficiently handle large volumes of data and collaborate remotely. These skills ensure accurate, timely data collection and integrity, which are critical for business operations and informed decision-making.

What are some common challenges faced in a remote data capture role, and how can they be managed effectively?

One of the main challenges in a Remote Data Capture role is maintaining accuracy and consistency when entering or verifying large volumes of data, especially when working independently. Distractions at home and varying digital tools can also impact productivity. To manage these challenges, it's important to establish a dedicated workspace, use reliable internet connections, and adhere to standardized procedures or checklists. Regular communication with team members and supervisors helps address data discrepancies quickly and ensures alignment with project goals.

What is the difference between Remote Data Capture vs Remote Data Entry?

AspectRemote Data CaptureRemote Data Entry
Primary FocusCollecting and recording data from various sources, often involving validation and initial processingInputting data into systems, typically from digital or physical sources
Required SkillsData collection techniques, attention to detail, basic technical knowledgeTyping speed, accuracy, familiarity with data management software
Work EnvironmentFieldwork, remote or on-site, involving data collection toolsRemote, computer-based work from home or office
Common CertificationsNone specific, but data collection or survey certifications can helpData entry certifications or proficiency tests

Remote Data Capture involves gathering data from various sources, often requiring validation and initial processing, while Remote Data Entry focuses on inputting data into systems with high accuracy. Both roles are remote-friendly and require attention to detail, but they differ in scope and primary tasks.

Are any remote data capture jobs legit?

Remote data capture jobs are legitimate roles that involve collecting and inputting data from various sources, often requiring attention to detail and familiarity with data management tools. However, job seekers should verify the employer's credibility, avoid jobs that require upfront payments, and be cautious of scams promising high pay for minimal work.

What is remote data capture?

Remote data capture is a job where individuals collect, input, or verify data from a remote location, often using digital tools and software. It requires attention to detail, familiarity with data management systems, and the ability to work independently outside a traditional office setting.

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

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

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

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

Remote Data Capture jobs near you

BI Reporting Engineer

Washington, DC • On-site, Remote

Data Society
Library and Information Services • 1 - 10 employees
Learn more about Data Societyexternal

$129K - $155K/yr

Full-time

Re-posted 20 days ago

Job description

About Data Society Group
At Data Society Group, we provide the highest quality, leading-edge, industry-tailored data and AI training and solutions for Fortune 1,000 companies and federal, state, and local governmental organizations. We partner with our clients to educate, equip, and empower their workforces with the skills they need to achieve their goals and expand their impact. Our portfolio of brands and services sits at the intersection of people, data, and AI and consists of:
  • CDO Magazine, the trusted voice of global data and AI leadership
  • The Data Lodge, a pioneer in data literacy and cultural transformation
  • Data Society, delivering applied AI education and custom-built solutions
  • InspiredMinds!, a convening force behind the world's most inclusive AI community

We are working to empower the workforces of the future; if you're as passionate about transforming workplaces with the power of Data & AI as we are, we'd love to hear from you!
About the Role
The BI / Reporting Engineer works under the direction of the BI / Reporting Lead to build and validate the platform's reporting semantic layer and dashboard outputs. This role focuses on hands-on implementation by translating report specifications into production-ready SQL views, aggregations, and report builds, while working closely with offshore BI Engineers and validating all outputs against ERP source data before stakeholder review.
This role is work-from-home (remote) though must be able to commute to client offices in Falls Church, VA as needed (estimated every 2 weeks). This is a full-time W2 employment position with full benefits. Please note that the role is tied to a client contract and is structured as an initial 9-month position. Opportunities for extension or long-term placement are highly likely based on client renewal and project performance.
Responsibilities
As the BI / Reporting Engineer, you will be responsible for hands-on reporting execution, semantic layer builds, and data validation. Your primary duties include:
  • Semantic Layer & Data Modeling: Build and maintain Azure SQL reporting views, aggregations, and semantic layer structures under the direction of the BI / Reporting Lead. Implement star schema dimensional models within the enterprise reporting platform (Azure Synapse Analytics, Microsoft Fabric, or Databricks).
  • Report & Dashboard Implementation: Translate documented business requirements and report specifications into production-ready report and dashboard outputs.
  • Data Validation & Quality Assurance: Validate report outputs against ERP source data, reconciling figures line-by-line to confirm accuracy before stakeholder review.
  • Offshore Coordination: Coordinate with and review work from offshore BI Engineers by providing guidance, feedback, and ensuring consistent implementation quality across deliverables.
  • Stakeholder Support & UAT: Support report UAT sessions by working directly with business users to validate outputs, capture feedback, and resolve discrepancies. Support post-launch dashboard enhancements during hypercare.
  • CI/CD & Pipeline Standards: Work within Azure DevOps CI/CD pipelines, ensuring all reporting code and schema changes pass review before deployment.

Required Skills & Experience
  • 4-7 years of BI or data engineering experience, with a focused background in hands-on reporting and analytics delivery.
  • Strong SQL skills, including complex query writing, view design, aggregation logic, and performance tuning on Azure SQL or Synapse Analytics for large enterprise datasets.
  • Experience implementing semantic layers, reporting data models, and dimensional modeling concepts (star schemas, fact/dimension tables) on Azure SQL or Azure Synapse Analytics.
  • Experience preparing reporting datasets from operational systems using SQL-based transformation techniques.
  • Experience working with data visualization and BI tools (e.g., Apache ECharts, Tableau, Power BI, Sigma, or similar Azure-native/compatible tools).
  • Proven experience validating report outputs against source system data for detailed reconciliation.
  • Comfortable working within CI/CD pipelines and version-controlled SQL schema management (Azure DevOps preferred).
  • Experience using AI coding tools (e.g., Claude Code, GitHub Copilot) to assist with query generation, data modeling, and report specification implementation.
  • Strong written and verbal communication skills with the ability to participate in UAT sessions with business stakeholders and collaborate effectively with offshore teams.

Preferred Qualifications
  • Prior experience building reporting layers on top of Oracle Fusion Cloud data (PPM, Financials, SCM, HCM).
  • Familiarity with lakehouse or medallion architecture patterns (Bronze/Silver/Gold/Semantic layers).
  • Experience with Apache ECharts embedded in React applications.
  • Experience delivering financial reporting for construction, real estate, or project-based industries.

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