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Remote Data Jobs in Washington (NOW HIRING)

Mondo

SQL Data Engineer

Centreville, VA · Remote

$125K - $140K/yr

SQL Data Engineer, location is Remote. The start date is ASAP for this permanent position. Job Title: SQL Data Engineer Location-Type: Remote (EST/CST Preferred) Start Date Is: ASAP Duration:

HiddenLayer

Data Scientist

Washington, DC · Remote

Data Scientist Remote [within the US] ABOUT THE ROLE: We're looking for a Data Scientist to join our Data Sciences and ML Engineering team. You'll be building, shipping, and improving the models and ...

SAIC

Data Analyst - GEOINT Technical SME

Springfield, VA · Remote

$120K - $160K/yr

TS/SCI with Poly Potential for Remote Work: ORA_ON_SITE Description The Data Analyst - GEOINT Technical SME applies their technical and analytical capabilities to support key business and security ...

SAIC

Data Scientist

Chantilly, VA · On-site +1

$200K - $240K/yr

None Potential for Remote Work: ORA_ON_SITE Description  SAIC is hiring a Data Scientist to deliver Systems Engineering Technical Advisor (SETA) support a program based in Chantilly, VA. This role ...

NT Concepts

Data Scientist

Herndon, VA · On-site +1

Herndon, VA with remote flexibility. Must be local to the DC Metro area. Responsibilities * Curate, transform, and optimize imagery data, including optical, Synthetic Aperture Radar (SAR), and ...

Parsons

Senior Data Scientist

Springfield, VA · Remote

The Data Analysis- Senior,leads the integration and application of advanced data analytics to solve ... Remote View, ERDAS Imagine, Macromedia Dreamweaver, Macromedia Fireworks, Photoshop, HTML, and ...

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Remote Data information

What are some common challenges faced when working as a Remote Data Analyst, and how can they be addressed?

Remote Data Analysts often face challenges such as maintaining effective communication with team members, managing access to secure data, and staying aligned with project goals across different time zones. These can be addressed by leveraging collaboration tools like Slack or Microsoft Teams, following strict data security protocols, and participating in regular virtual meetings to ensure everyone is on the same page. Proactive communication and strong organizational skills are key to thriving in a remote data role.

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

AspectRemote DataRemote Data Analyst
Required CredentialsBachelor's in Data Science, Computer Science, or related field; knowledge of databases and data toolsBachelor's in Data Science, Statistics, or related; proficiency in data analysis tools like Excel, SQL, and visualization software
Work EnvironmentRemote, often independent, with collaboration via online platformsRemote, involves analyzing data sets, creating reports, and communicating findings
Employer & Industry UsageTech companies, finance, healthcare, and e-commerceBusiness, marketing, finance, and tech sectors

Remote Data generally refers to roles focused on managing and processing data, while Remote Data Analyst emphasizes analyzing data to generate insights. Both roles often require similar educational backgrounds and work remotely, but Data Analysts typically focus more on interpreting data and creating reports for decision-making.

How can I make 2000 a week working from home?

Remote data roles such as data analyst or data scientist can offer high earning potential, with experienced professionals earning $2,000 or more weekly through project-based work, consulting, or full-time employment. Building skills in data analysis tools, programming languages, and obtaining relevant certifications can help increase earning capacity, especially when working independently or in specialized niches.

Are there real remote data entry jobs?

Yes, remote data entry jobs are available and involve inputting information into digital systems from home. These roles typically require basic computer skills, attention to detail, and sometimes familiarity with spreadsheet or database software. Legitimate positions are often posted on reputable job boards and do not require upfront fees.

How to make $1000 a week remotely?

Remote data roles such as data analyst or data scientist can generate $1000 or more weekly with experience, strong analytical skills, and proficiency in tools like Excel, SQL, or Python. Achieving this income often involves freelance projects, contract work, or full-time positions with high pay rates, and may require certifications or specialized knowledge in data management and analysis.

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

To thrive as a Remote Data Analyst, you need strong analytical skills, proficiency in statistics, and a background in data science or a related field. Familiarity with data analysis tools such as Python, R, SQL, and platforms like Tableau or Power BI, along with relevant certifications, is typically required. Excellent self-motivation, time management, and communication skills help you stand out in a remote environment. These capabilities are crucial for delivering accurate insights, collaborating effectively from a distance, and meeting business objectives efficiently.

Is 40 too late for data science?

Age is not a barrier to entering data science, and many professionals start or transition into the field later in life. Success depends on acquiring relevant skills such as programming, statistics, and machine learning, often through online courses or certifications, regardless of age.

What are remote data jobs?

Remote data jobs are positions that involve collecting, analyzing, managing, or interpreting data while working from a location outside the traditional office environment. These roles can include data analysts, data scientists, data entry specialists, and database administrators, among others. Remote data professionals use online tools and platforms to access and process data, collaborate with teams, and deliver insights or reports. This flexible work arrangement allows individuals to contribute to data-driven projects from anywhere with an internet connection.
What are the most commonly searched types of Data jobs in Washington? The most popular types of Data jobs in Washington are:
What are popular job titles related to Remote Data jobs in Washington? For Remote Data jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Remote Data jobs in Washington look for? The top searched job categories for Remote Data jobs in Washington are:
What cities in Washington are hiring for Remote Data jobs? Cities in Washington with the most Remote Data job openings:
Remote Data jobs near you
SQL Data Engineer

SQL Data Engineer

Mondo

Centreville, VA • Remote

$125K - $140K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 3 days ago

Job description

Apply now: SQL Data Engineer, location is Remote. The start date is ASAP for this permanent position.

Job Title: SQL Data EngineerLocation-Type: Remote (EST/CST Preferred)Start Date Is: ASAPDuration: PermanentCompensation Range: $125,000 – $140,000 annuallyBenefits: Eligible for Health, Dental, Vision, 401K, PTOMust be authorized to work in the U.S. This position is not eligible for sponsorship. 

Job Description:The SQL Data Engineer will be responsible for investigating, remediating, migrating, and validating production data across enterprise-scale systems. This role focuses heavily on SQL Server, data migrations, ETL processes, XML data handling, and troubleshooting complex data integrity issues within mission-critical applications.

Day-to-Day Responsibilities:

  • Investigate and resolve data integrity issues within large production databases.
  • Write and execute complex SQL queries across highly relational data models.
  • Develop validation scripts and reporting to identify impacted records and data anomalies.
  • Design, test, and execute data correction and remediation scripts.
  • Lead and support data migration initiatives, including schema mapping and transformation logic.
  • Perform ETL activities, data mapping, and data quality validation.
  • Analyze and reconstruct missing or corrupted data when necessary.
  • Collaborate with Product, QA, DevOps, and Engineering teams to understand application data flows.
  • Optimize database performance and troubleshoot production issues.
  • Maintain migration runbooks, playbooks, and technical documentation.
  • Participate in Agile ceremonies, code reviews, and deployment planning.

Minimum Requirements:

  • Bachelor's degree in Computer Science, Information Systems, Engineering, or related field (or equivalent experience).
  • 5 years of professional experience working with relational databases.
  • Expert-level SQL Server experience.
  • Advanced SQL skills including complex JOINs, CTEs, window functions, query optimization, and indexing strategies.
  • Experience writing and executing safe bulk UPDATE, INSERT, and DELETE scripts in production environments.
  • Proven experience with data migration projects, schema mapping, transformation logic, and validation processes.
  • Experience working with XML data and querying XML within SQL environments.
  • Strong ETL and data quality validation experience.
  • Experience working with Git/GitHub and Jira.
  • Familiarity with cloud platforms, preferably Azure.
  • Ability to quickly learn and navigate large, unfamiliar database schemas.
  • Strong troubleshooting and problem-solving skills.
  • Self-starter capable of working independently with limited documentation and guidance.
  • Strong attention to detail and commitment to data accuracy.
Preferred Qualifications:
  • Experience with data reconstruction and forensic data investigation.
  • Experience within tax, government, financial services, or other regulated industries.
  • Familiarity with Azure SQL Managed Instance.
  • Exposure to VB.NET, ASP.NET, C#, Entity Framework, Dapper, or ADO.NET.
  • Experience with SQL Server Reporting Services (SSRS).
  • Experience supporting SaaS or hosted application environments.
  • Understanding of CI/CD pipelines and deployment automation.

Apply