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Remote Etl Jobs in Virginia (NOW HIRING)

NewGen

Enterprise Data Engineer

Chantilly, VA · On-site +1

$117K - $140K/yr

We are seeking skilled and detail-oriented Data Engineers with expertise in utilizing Python, SQL, and Palantir (or other ETL platforms) to extract, transform, and load structured and unstructured ...

NT Concepts

Data Scientist

Herndon, VA · On-site +1

Herndon, VA with remote flexibility. Must be local to the DC Metro area. Responsibilities * Curate ... Design and maintain data conversion and ETL pipelines to prepare customer data for model training

ECS

Sr. Databricks Consultant

Fairfax, VA · On-site +1

$175K - $250K/yr

Design, build, and maintain scalable ETL/ELT pipelines in Databricks. * Optimize workflows and clusters for performance and cost efficiency. * Integrate Databricks with cloud platforms (AWS, Azure ...

New

ECS

Sr. Databricks Consultant - Public Trust

Fairfax, VA · On-site +1

$175K - $250K/yr

Design, build, and maintain scalable ETL/ELT pipelines in Databricks. * Optimize workflows and clusters for performance and cost efficiency. * Integrate Databricks with cloud platforms (AWS, Azure ...

New

ECS

Sr. Databricks Consultant - Secret Clearance

Fairfax, VA · On-site +1

$175K - $250K/yr

Design, build, and maintain scalable ETL/ELT pipelines in Databricks. * Optimize workflows and clusters for performance and cost efficiency. * Integrate Databricks with cloud platforms (AWS, Azure ...

New

ECS

Sr. Databricks Consultant - DHS Public Trust

Fairfax, VA · On-site +1

$175K - $250K/yr

Design, build, and maintain scalable ETL/ELT pipelines in Databricks. * Optimize workflows and clusters for performance and cost efficiency. * Integrate Databricks with cloud platforms (AWS, Azure ...

New

Steampunk

Senior Data Warehouse Engineer

Mclean, VA · On-site +1

$140K - $180K/yr

Assess, document, and analyze data sources, ETL workflows, and business intelligence tools. * Address technical inquiries related to data warehouse customization, integration, and enterprise ...

A-TEK Inc.

Health IT Data Engineer

Alexandria, VA · Remote

$125K - $135K/yr

This is a remote position requiring all work be performed in the continental United States. US ... Design and develop enterprise data pipelines and ETL processes. * Develop logical and physical data ...

SAIC

Software Developer

Chantilly, VA · On-site +1

$200K - $240K/yr

None Potential for Remote Work: ORA_ON_SITE Description  SAIC is seeking a Software Developer to ... Experience designing or implementing Extract, Transform, and Load (ETL) pipelines. * Experience as ...

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Showing results 21-40

All JobsEtl JobsRemote Etl JobsRemote Etl Jobs in Virginia

Remote Etl information

See Virginia salary details

$31

$56

$80

How much do remote etl jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for remote etl in Virginia is $56.89, according to ZipRecruiter salary data. Most workers in this role earn between $48.61 and $63.65 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a remote ETL developer?

To thrive as a Remote ETL Developer, you need expertise in data integration, database management, and strong SQL skills, typically supported by a degree in computer science or a related field. Familiarity with ETL tools such as Informatica, Talend, or SSIS and experience with cloud platforms like AWS or Azure are commonly required. Strong problem-solving abilities, self-motivation, and effective communication are crucial soft skills for remote collaboration and troubleshooting. These skills and qualities are essential for delivering reliable data pipelines and ensuring seamless, efficient data workflows in distributed environments.

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

AspectRemote EtlRemote Data Analyst
Required CredentialsETL certifications, SQL, data warehousing knowledgeData analysis certifications, SQL, Excel skills
Work EnvironmentData integration, backend systems, scriptingData interpretation, reporting, visualization
Employer & Industry UsageTech, finance, healthcare with data pipelinesBusiness, marketing, finance for insights

Remote ETL specialists focus on designing and maintaining data pipelines, requiring technical skills like SQL and data warehousing. Remote Data Analysts interpret data, create reports, and visualize insights. While both roles work remotely and require SQL, ETL roles are more technical and backend-focused, whereas Data Analysts are more analytical and client-facing. Understanding these differences helps job seekers target the right roles based on their skills and career goals.

What are some common challenges faced by remote ETL professionals, and how can they be overcome?

Remote ETL professionals often face challenges such as coordinating with distributed teams, managing data security, and troubleshooting issues without on-site access. Effective communication tools and regular check-ins can help bridge gaps with team members. To address data security, following best practices for remote access and adhering to company protocols is essential. Additionally, strong documentation and proactive monitoring can make troubleshooting and collaboration more efficient in a remote environment.

What is a remote ETL?

Remote ETL jobs involve working with Extract, Transform, Load (ETL) processes from a remote location, often from home. ETL professionals are responsible for extracting data from various sources, transforming it into a suitable format, and loading it into data warehouses or databases. These roles require skills in data integration tools, programming languages like SQL or Python, and sometimes experience with cloud platforms. Remote ETL jobs allow professionals to collaborate with teams and manage data pipelines without being physically present in an office.
What are the most commonly searched types of Etl jobs in Virginia? The most popular types of Etl jobs in Virginia are:
What are popular job titles related to Remote Etl jobs in Virginia? For Remote Etl jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Remote Etl jobs in Virginia look for? The top searched job categories for Remote Etl jobs in Virginia are:
What cities in Virginia are hiring for Remote Etl jobs? Cities in Virginia with the most Remote Etl job openings:
Remote Etl jobs near you
Infographic showing various Remote Etl job openings in Virginia as of August 2026, with employment types broken down into 83% Full Time, 3% Part Time, and 14% Contract. Highlights an 78% Physical, 8% Hybrid, and 14% Remote job distribution, with an average salary of $118,322 per year, or $56.9 per hour.

Manager, Data Analytics - Remote

ICF

Reston, VA • Remote

Full-time

Re-posted 23 days ago

Job description

This role is contingent upon a contract award.

ICF is seeking an experienced Data Analytics Manager to lead enterprise data, analytics, governance, and AI-enabled capabilities for a complex federal technology services program. This role will support the design, implementation, and sustainment of data policy, standards, governance processes, portfolio management practices, data architecture, data quality controls, analytics products, dashboards, and secure data access models.

The ideal candidate has demonstrated experience leading enterprise data initiatives in regulated environments, with strong technical credibility across data governance, data architecture, data engineering, analytics, data quality, metadata management, and responsible AI-enabled analytics. This role requires the ability to translate business, operational, and mission needs into governed, secure, and usable data capabilities that support decision-making, performance management, and continuous improvement.

Job Location: This position is remote within the United States.

Please note that ICF monitors employee work locations, restricts access from foreign locations and IP addresses, and prohibits the use of personal VPN connections.

What You'll Be Doing
  • Lead enterprise data, analytics, governance, and AI-enabled capability delivery across a complex federal technology environment.
  • Develop and implement data governance policies, standards, operating procedures, approval workflows, and accountability models.
  • Establish and maintain data portfolio management practices, including prioritization, project intake, resource planning, risk tracking, milestone reporting, and performance measurement.
  • Lead the design and implementation of scalable data architecture, including data pipelines, data lakes, data warehouses, data marts, data catalogs, metadata repositories, and data lineage capabilities.
  • Define and enforce data quality standards, validation rules, data dictionaries, scorecards, issue management workflows, and continuous monitoring processes.
  • Guide development of analytics products, dashboards, reports, and visualization tools that provide operational insight and support executive decision-making.
  • Support advanced analytics capabilities, including statistical analysis, predictive modeling, trend analysis, root cause analysis, and AI-enabled analytics.
  • Ensure data sharing, API integration, and data access models are secure, governed, auditable, and aligned with privacy, cybersecurity, and compliance requirements.
  • Partner with cybersecurity, engineering, product, and program management teams to align data platforms, applications, integrations, and analytics capabilities with enterprise standards.
  • Establish reusable templates, frameworks, data models, ETL/ELT patterns, documentation repositories, and project management toolkits for data initiatives.
  • Support training, documentation, and knowledge transfer to improve user adoption and long-term sustainment of data tools, dashboards, and data management practices.
  • Monitor data quality, data usage, access patterns, and analytics adoption to identify risks, improvement opportunities, and operational blind spots.
What You Must Have
  • U.S. Citizenship required due to federal contract requirements.
  • Must be able to obtain and maintain a Federal Public Trust clearance.
  • Bachelor's Degree
  • 10+ years of experience leading enterprise data, analytics, data governance, data engineering, data architecture, or AI-enabled analytics initiatives.
  • One active data, cloud, analytics, AI/ML, or data governance certification, such as CDMP, DAMA, AWS/Azure/GCP data certification, Microsoft Power BI certification, Databricks, Snowflake, or equivalent
What we would like you to have:
  • 8+ years of experience designing, implementing, or managing enterprise data platforms, data pipelines, data warehouses, data lakes, data marts, data catalogs, or metadata management capabilities.
  • 5+ years of experience establishing data governance policies, standards, stewardship models, data quality frameworks, data dictionaries, lineage practices, or data management operating models.
  • 5+ years of experience delivering analytics products, dashboards, reporting capabilities, data visualizations, or executive decision-support tools.
  • 5+ years of experience working in federal, public sector, healthcare, life sciences, or other regulated environments with formal privacy, security, or compliance requirements.
  • 3+ years of experience supporting AI-enabled analytics, predictive modeling, machine learning workflows, anomaly detection, or advanced analytics use cases.
  • 3+ years of experience with data integration methods, including APIs, ETL/ELT pipelines, data orchestration, batch processing, real-time ingestion, or change data capture.
  • 3+ years of experience using data visualization, analytics, or business intelligence tools such as Power BI, Tableau, QuickSight, Looker, Palantir Foundry, or similar platforms.
  • 3+ years of experience with cloud data services on AWS, Microsoft Azure, Google Cloud Platform, or similar cloud environments.
  • Experience supporting HHS, NIH, FDA, CMS, CDC, or other health-focused federal environments.
  • Experience building or supporting Chief Data Office functions, enterprise data governance programs, or data portfolio management organizations.
  • Experience with data privacy, data protection, data classification, DLP, encryption, RBAC, ABAC, just-in-time access, or audit logging requirements.
  • Experience aligning data capabilities with NIST, FISMA, HIPAA, FedRAMP, GDPR, or other security and compliance frameworks.
  • Experience developing data catalogs, metadata management approaches, lineage models, data quality scorecards, data issue repositories, and data stewardship workflows.
  • Experience implementing AI governance, responsible AI practices, model monitoring, explainability, human-in-the-loop review, or secure AI-enabled analytics.
  • Experience with SQL, Python, R, Databricks, Snowflake, Redshift, BigQuery, Synapse, Dataverse, or similar data platforms and tools.
  • Additional cloud, data, analytics, AI/ML, cybersecurity, Agile, ITIL, DAMA, CDMP, or project management certification.

Working at ICF

ICF is a global advisory and technology services provider, but we're not your typical consultants. We combine unmatched expertise with cutting-edge technology to help clients solve their most complex challenges, navigate change, and shape the future.

We can only solve the world's toughest challenges by building a workplace that allows everyone to thrive. We are an equal opportunity employer.Together, our employees are empowered to share theirexpertiseand collaborate with others to achieve personal and professional goals. For more information, please read ourEEOpolicy.

We will consider for employment qualified applicants with arrest and conviction records.

Reasonable Accommodations are available, including, but not limited to, for disabled veterans, individuals with disabilities, and individuals withsincerely heldreligious beliefs, in all phases of the application and employment process. To requestan accommodation,please emailCandidateaccommodation@icf.comand we will be happy toassist. All information you provide will be kept confidential and will be used only to the extentrequiredto provide needed reasonable accommodations.

Read more aboutworkplacediscriminationrightsor our benefit offerings which are included in theTransparency in (Benefits) CoverageAct.

Candidate AI Usage Policy

At ICF, we are committed to ensuring a fair interview process for all candidates based on their own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) tools to generate orassistwith responses during interviews (whether in-person or virtual) is notpermitted. This policy is in place tomaintainthe integrity and authenticity of the interview process.

However, we understand that some candidates may require accommodationthat involves the use of AI. Ifsuch anaccommodation is needed, candidates are instructed to contact us in advance atcandidateaccommodation@icf.com. Weare dedicated to providingthe necessary support to ensure that all candidates have an equal opportunity to succeed.


Pay Range - There are multiple factors that are considered in determining final pay for a position, including, but not limited to, relevant work experience, skills, certifications and competencies that align to the specified role, geographic location, education and certifications as well as contract provisions regarding labor categories that are specific to the position.

The pay range for this position based on full-time employment is:

$98,614.00 - $167,644.00Nationwide Remote Office (US99)

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