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Remote Data Aggregation Jobs in Dallas, TX (NOW HIRING)

BNSF Railway

Sr/Staff Data Scientist (Remote - US)

TX · On-site +1

$165K - $300K/yr

Remote US Anticipated Start Date: 06/01/2026 The US base salary range for this full-time position ... Proficiently extract, aggregate, and transform data from SQL and NoSQL databases, leveraging ...

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Remote Data Aggregation information

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

AspectRemote Data AggregationRemote Data Analyst
Required CredentialsBasic data handling skills, familiarity with data toolsBachelor's in Data Science, Statistics, or related field; often requires certifications
Work EnvironmentPrimarily technical, focused on data collection and processingAnalytical, interpretative, and reporting-focused
Employer & Industry UsageUsed across industries for consolidating data sourcesCommon in finance, marketing, healthcare for insights
Search & Comparison IntentUnderstanding data collection rolesAnalyzing data to inform decisions

Remote Data Aggregation involves collecting and consolidating data from various sources, focusing on data collection and management. Remote Data Analysts interpret and analyze data to generate insights, often requiring more specialized education and analytical skills. Both roles are essential in data-driven industries but serve different functions within the data lifecycle.

What is remote data aggregation?

Remote data aggregation is the process of collecting, compiling, and organizing data from various sources without being physically present at a central location. Professionals in this field use digital tools and software to access, extract, and consolidate information from databases, websites, or third-party platforms. This role is essential for businesses that rely on real-time or large-scale data from multiple sources, as it enables efficient analysis and reporting. Remote data aggregation is commonly utilized in industries such as market research, finance, and e-commerce, where timely and accurate data is crucial for decision-making.

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

To thrive as a Remote Data Aggregation Specialist, you need strong analytical skills, attention to detail, and proficiency in data management, often supported by a degree in information technology, statistics, or a related field. Familiarity with data aggregation tools, database systems (such as SQL), and spreadsheet software like Excel is typically required. Excellent organizational skills, self-motivation, and effective communication are important soft skills for collaborating remotely and ensuring accurate results. These skills and qualities are essential for efficiently collecting, organizing, and delivering high-quality data that supports business decision-making.

What are some common challenges faced by professionals in remote data aggregation roles, and how can they be addressed?

Remote data aggregation professionals often encounter challenges such as inconsistent data sources, varying data formats, and communication barriers with distributed teams. These can be addressed by using robust data integration tools, establishing clear data validation protocols, and maintaining regular communication channels with colleagues and stakeholders. Staying adaptable and proactive in troubleshooting helps ensure data accuracy and timely project delivery. Additionally, ongoing training in new aggregation tools and methods can further streamline workflows.
What are the most commonly searched types of Data Aggregation jobs in Dallas, TX? The most popular types of Data Aggregation jobs in Dallas, TX are:
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Remote Data Aggregation jobs near you
Senior Data Engineer - Remote / Telecommute

Senior Data Engineer - Remote / Telecommute

CYNET SYSTEMS

Dallas, TX • Remote

$46/hr

Contractor

Posted 21 days ago

Job description

Job Overview:
  • The Senior Data Engineer will design, develop, and maintain scalable enterprise data solutions supporting analytics, reporting, and business intelligence initiatives.
  • This role requires strong expertise in Snowflake, Power BI, data modeling, and data integration technologies within complex enterprise environments.
Requirement/Must Have:
  • 5–8 years of progressive experience in data engineering within enterprise environments.
  • Expert-level proficiency in Snowflake including data warehousing, performance optimization, and complex query development.
  • Expert-level experience with Power BI for dashboard, report, and visualization development.
  • Strong expertise in data modeling using Star Schema and Snowflake methodologies.
  • Advanced experience with Electronic Data Interchange (EDI) systems and external data integration.
  • Strong understanding of scalable data architectures and pipeline development.
Experience:
  • Experience designing and deploying scalable data ingestion and aggregation pipelines.
  • Hands-on experience with large-scale structured and unstructured data processing.
  • Experience supporting data validation requests and troubleshooting pipeline failures.
  • Experience performing peer code reviews and maintaining coding standards.
  • Experience mentoring junior data engineers and supporting technical growth.
  • Databricks experience is preferred.
  • Retail and eCommerce industry experience is preferred.
Responsibilities:
  • Design, develop, deploy, and maintain robust data solutions using Snowflake and Power BI.
  • Architect and implement scalable data ingestion pipelines from diverse data sources.
  • Develop and optimize aggregation pipelines for analytics and reporting solutions.
  • Ensure scalability, maintainability, and documentation of all developed code.
  • Provide technical ownership for data platform components and ensure performance reliability.
  • Support data pipeline failures and business stakeholder requests for validation and analysis.
  • Contribute to the architectural evolution of the enterprise data analytics platform.
  • Translate complex business requirements into technical specifications and actionable user stories.
  • Conduct peer code reviews to ensure code quality and architectural compliance.
  • Communicate technical solutions and recommendations effectively to management and cross-functional teams.
  • Resolve complex data issues and ensure data accuracy and system stability.
  • Mentor junior engineers and promote best practices within the engineering team.
  • Evaluate and recommend emerging tools and technologies to enhance the data ecosystem.
Should Have:
  • Familiarity with Databricks and modern data processing platforms.
  • Understanding of Retail and eCommerce business processes and analytics.
  • Strong analytical and problem-solving skills.
  • Ability to work independently in a remote environment.
  • Strong communication and collaboration skills.
Skills:
  • Snowflake
  • Power BI
  • Data Engineering
  • Data Modeling
  • Star Schema
  • Snowflake Schema
  • EDI
  • SQL
  • Data Warehousing
  • Data Pipelines
  • ETL/ELT
  • Databricks
  • Business Intelligence
  • Analytics
  • Performance Optimization
  • Data Integration
  • Technical Documentation
  • Code Review
  • Problem Solving
Qualification And Education:
  • Bachelor’s degree in Computer Science, Information Technology, Engineering, or related field preferred.
  • Equivalent combination of education and relevant work experience will also be considered.

Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading staffing and recruiting powerhouse. Proudly recognized as a nationally and locally certified diversity firm, Cynet delivers agile, scalable talent solutions across industries. With an active footprint in all 50 U.S. states and Canada, we support thousands of consultants through our expansive, high-performing recruitment engine operating across North America and Asia—ensuring speed, quality, and consistency in every hire.
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About Cynet Systems

Sourced by ZipRecruiter

Cynet Systems Inc is a staffing and recruiting corporation nestled in Ashburn, VA, USA. Established in 2010, the company operates within the Information Technology and Services sector, specializing in providing effective workforce solutions to different business needs, including IT consulting, direct hire, and contract staffing services. Through the years, Cynet Systems has built an impressive portfolio, going beyond borders and expanding its operations internationally in Canada and India. Rooted in its core values of teamwork, leadership, and commitment, Cynet Systems helps businesses unlock their full potential by providing versatile and competent professionals that perfectly align with their needs. Fueled by their unwavering mission to deliver top-tier talent to businesses worldwide, Cynet Systems garnered various recognitions including SIA's fastest-growing staffing firms and Best Place to Work in Virginia for 2019.

Industry

It services

Company size

501 - 1,000 Employees

Headquarters location

Sterling, VA, US

Year founded

2010

Social media

Twitter

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