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Remote Ssis Jobs in Virginia (NOW HIRING)

SAIC

GIS Database Engineer

Vienna, VA · Remote

$160K - $200K/yr

... SQL Server, PostgreSQL, or SAP HANA. * Experience with loading strategies, backup/recovery ... Knowledge integrating GIS with enterprise systems. * Industry certifications (Esri, CompTIA ...

McBride

Power BI Developer

Arlington, VA · Remote

This is a remote position. McBride Consulting is seeking a PowerBI Developer for a banking client ... Strong SQL and data integration across multiple sources (Oracle, SQL Server, etc.) * ETL / data ...

Revolutional, LLC

Senior SharePoint Developer

Mclean, VA · On-site +1

$120 - $140K/hr

Integrate Power Platform with SharePoint, Dynamics 365, Azure services, and external APIs ... SQL Server Reporting Services (SSRS) * Implement executive dashboards and KPI scorecards. * Design ...

REI Systems

Software Engineer (.Net)

Sterling, VA · On-site +1

Develop and maintain applications using C#, ASP.NET Core, .NET 6/8, and SQL Server. * Design and support REST APIs and backend services. * Create and optimize SQL queries, stored procedures, views ...

Sciolex Corporation

Data & AI Engineer

Chantilly, VA · Remote

$118K - $142K/yr

Design, manage, and optimize enterprise databases (Microsoft SQL Server) * Build internal tools ... Integration of structured and unstructured information * Workflow automation and operational ...

Wisconsin Land and Water | Jobs

Reports Developer

Richmond, VA · Remote

$46.75 - $64/hr

Develop and maintain reports using SQL Server Reporting Services (SSRS). * Utilize Visual studio to ... Remote work with the ability to come onsite on demand with minimal notice * Must reside in Virginia.

ASCENDING LLC

Data Reporting Analyst

Richmond, VA · On-site +1

Data Reporting Analyst/Developer Remote (Greater Richmond Area, VA) with occasional onsite presence ... Develop and maintain reports using SQL Server Reporting Services (SSRS), Visual Studio, and Report ...

ASCENDING LLC

Data Reporting Analyst

Richmond, VA · On-site +1

Data Reporting Analyst/Developer Remote (Greater Richmond Area, VA) with occasional onsite presence ... Develop and maintain reports using SQL Server Reporting Services (SSRS), Visual Studio, and Report ...

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All JobsSsis JobsRemote Ssis JobsRemote Ssis Jobs in Virginia

Remote Ssis information

See Virginia salary details

$37

$54

$72

How much do remote ssis jobs pay per hour?

As of Sep 1, 2026, the average hourly pay for remote ssis in Virginia is $54.76, according to ZipRecruiter salary data. Most workers in this role earn between $48.61 and $61.49 per hour, depending on experience, location, and employer.

What is a remote SSIS?

Remote SSIS jobs involve working with SQL Server Integration Services (SSIS) to design, develop, and maintain data integration and ETL (Extract, Transform, Load) solutions while working from a remote location. Professionals in these roles typically create data workflows, automate data movement between systems, and ensure data quality within Microsoft SQL Server environments. Remote SSIS specialists use tools such as Visual Studio and SQL Server Management Studio to build and deploy packages, often collaborating with data analysts, engineers, and business teams online. These jobs require strong SQL skills, experience with SSIS, and the ability to troubleshoot data integration issues independently.

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

To thrive as a Remote SSIS Developer, you need expertise in ETL processes, strong SQL skills, and experience with database design, typically backed by a degree in computer science or a related field. Familiarity with Microsoft SQL Server, SSIS packages, Visual Studio, and version control systems is generally required, along with knowledge of data warehousing concepts. Excellent problem-solving abilities, attention to detail, and effective communication are crucial soft skills for collaborating with remote teams and stakeholders. These skills and qualities ensure efficient data integration, seamless project execution, and high-quality deliverables in a distributed work environment.

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

Remote SSIS developers often face challenges related to communication and collaboration, especially when coordinating complex ETL processes across distributed teams. Ensuring secure access to data sources and development environments is also a frequent concern. To overcome these challenges, it’s important to establish clear documentation practices, leverage collaboration tools like version control and project management software, and maintain regular check-ins with team members. Additionally, strong troubleshooting skills and proactive communication can help minimize misunderstandings and keep projects on track.

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

AspectRemote SsisRemote Data Analyst
Required CredentialsSQL Server certifications, SSIS expertiseData analysis certifications, SQL knowledge
Work EnvironmentData integration, ETL processesData interpretation, reporting
Employer & Industry UsageIT, data management firmsBusiness, finance, marketing sectors

Remote Ssis focuses on data integration and ETL workflows using SQL Server, while Remote Data Analysts analyze and interpret data to support business decisions. Both roles often require SQL skills and can be remote, but they serve different functions within data management and analysis.

Is Remote SSIS in demand?

Remote SSIS (SQL Server Integration Services) developers are in demand due to the ongoing need for data integration and ETL (Extract, Transform, Load) solutions across industries. Skills in SSIS, along with knowledge of SQL and data warehousing, increase employability, especially in organizations adopting cloud-based and remote work environments.

What are popular job titles related to Remote Ssis jobs in Virginia?

For Remote Ssis jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Remote Ssis jobs in Virginia look for?

The top searched job categories for Remote Ssis jobs in Virginia are:

Remote Ssis jobs near you
Infographic showing various Remote Ssis job openings in Virginia as of August 2026, with employment types broken down into 81% Full Time, 4% Part Time, and 15% Contract. Highlights an 81% Physical, 7% Hybrid, and 12% Remote job distribution, with an average salary of $113,908 per year, or $54.8 per hour.

Data Engineer (Fraud Analytics & Investigative Support)

Praescient Analytics

Fairfax, VA • On-site, Remote

$117K - $140K/yr

Full-time

Retirement, PTO

Re-posted 8 days ago

Job description

Location: Remote (Occasional Travel May Be Required)
Clearance: Ability to obtain and maintain a Public Trust
U.S. Citizenship is Required.
Position Overview:
Praescient Analytics is seeking an experienced Data Engineer to design, build, and maintain scalable data pipelines supporting advanced fraud analytics and investigative solutions for a federal oversight organization. This individual will play a critical role in ensuring diverse data sources are efficiently ingested, transformed, governed, and made available for analytics, machine learning, graph analytics, and investigative support.
The ideal candidate is a hands-on engineer who enjoys solving complex data integration challenges while building modern cloud-native data pipelines that prioritize quality, reliability, scalability, and performance. They understand that high-quality analytics begin with high-quality data and are committed to developing robust data engineering solutions that enable timely, accurate, and defensible analytic products.
Key Responsibilities:
  • Design, develop, maintain, and optimize scalable ETL pipelines supporting advanced analytics and investigative workloads.
  • Ingest, transform, and integrate structured and unstructured data from diverse sources including flat files, JSON, XML, Excel, APIs, graph databases, relational databases, and other evolving data formats.
  • Develop and optimize data pipelines supporting both streaming and batch ingestion frameworks.
  • Manage, organize, and optimize data within modern cloud-based analytics platforms, including Databricks Unity Catalog, SQL Server managed instances, and Lakehouse architectures.
  • Develop efficient SQL and Python-based data transformation processes that support downstream analytics, machine learning, graph analytics, and business intelligence solutions.
  • Implement data quality validation, lineage tracking, metadata management, and monitoring processes to ensure data reliability and integrity throughout the analytics lifecycle.
  • Collaborate with Data Scientists, Graph Data Scientists, Investigative Analysts, Forensic Accountants, and Project Managers to understand data requirements and support analytic initiatives.
  • Troubleshoot pipeline failures, optimize performance, and continuously improve scalability, reliability, and maintainability of enterprise data solutions.
  • Support enterprise data governance by implementing data management standards, documenting data assets, and ensuring compliance with enterprise data management (EDM) policies.
  • Contribute to data architecture improvements, ingestion strategies, and modernization efforts that enhance overall analytic capabilities.

Required Qualifications:
  • Must have experience with Fraud Analysis
  • Three (3) or more years of professional experience in data engineering or a related technical field.
  • Demonstrated experience designing, building, maintaining, and optimizing scalable ETL pipelines across diverse data sources.
  • Strong SQL and Python programming skills, or equivalent technologies, for data ingestion, transformation, and processing.
  • Experience ingesting and transforming data from flat files, JSON, XML, Excel, APIs, graph databases, relational databases, and other structured and unstructured data sources.
  • Experience loading, managing, and optimizing data within Databricks Unity Catalog, SQL Server managed instances, or comparable cloud-based data platforms.
  • Experience working with streaming and batch ingestion frameworks and modern Lakehouse architectures.
  • Demonstrated ability to implement data quality controls, lineage tracking, reliability monitoring, and performance optimization processes.
  • Familiarity with enterprise data governance, enterprise data management (EDM), metadata management, and data quality best practices.
  • Strong analytical, problem-solving, written, and verbal communication skills.

Preferred Qualifications:
Preference will be given to candidates with demonstrated experience in one or more of the following areas:
  • Supporting fraud detection, anomaly detection, financial oversight, program integrity, or investigative analytics environments.
  • Building cloud-native data engineering solutions utilizing Azure Databricks, Azure Data Lake Storage (ADLS), Microsoft SQL Server, Microsoft Fabric, Azure Synapse Analytics, Power BI, Neo4j, Git repositories, or comparable cloud data platforms.
  • Developing scalable data pipelines supporting machine learning, artificial intelligence (AI), graph analytics, natural language processing (NLP), or advanced analytics solutions.
  • Working with public, non-public, commercial, financial, law enforcement, or cross-agency datasets supporting fraud detection and investigative missions.
  • Designing and implementing Lakehouse architectures, Delta Lake, data partitioning strategies, and performance optimization techniques for large-scale analytics environments.
  • Developing automated data quality validation, metadata management, lineage tracking, schema evolution, and monitoring capabilities.
  • Supporting enterprise data governance initiatives, data catalogs, master data management, and compliance with organizational data standards.
  • Utilizing orchestration and workflow tools such as Apache Spark, Databricks Workflows, Azure Data Factory, Airflow, or comparable pipeline automation technologies.
  • Collaborating within Agile software development teams using Git-based version control, sprint planning, backlog management, and continuous integration/continuous deployment (CI/CD) practices.
  • Supporting Offices of Inspector General (OIGs), federal oversight organizations, law enforcement agencies, or other government data modernization initiatives.

What We're Looking For:
We're looking for a data engineer who is passionate about building reliable, scalable data foundations that power advanced analytics. The ideal candidate enjoys working with complex data ecosystems, solving integration challenges, and continuously improving the quality, performance, and accessibility of enterprise data. They understand that trustworthy analytics depend on trustworthy data and take pride in developing robust engineering solutions that enable investigators and analysts to uncover fraud, waste, abuse, and emerging risks with confidence.
What you can expect from us:
  • Real opportunity for career growth in an environment where your achievements will be celebrated
  • Constant collaboration with numerous teams to ensure client success
  • A team that respects and embraces your ideas and expertise
  • Coworkers that are motivated by pursuing excellence, rather than the prospect of personal gain
  • A workplace dedicated to supporting and bettering public safety and government agencies

Benefits:
  • Competitive salary based on qualifications and experience
  • Comprehensive, Company paid healthcare for you (We pay your premiums and deductibles)
  • 401(k) with company match
  • Travel & performance incentives
  • 3 weeks paid time off (plus Federal Holidays)
  • $5K annual training allowance
  • $500 book allowance
  • Tuition reimbursement program

Praescient Analytics is an Equal Employment Opportunity employer. Employment decisions are based on merit, qualifications, experience, performance, business needs, and applicable contract requirements. Praescient does not unlawfully discriminate or provide disparate treatment based on race, ethnicity, color, religion, sex, national origin, age, disability, veteran status, genetic information, or any other status protected by applicable law.
Praescient Analytics acknowledges the applicable clause and provision updates implementing Executive Order 14398, Addressing DEI Discrimination by Federal Contractors, and the related FAR/RFO updates, including FAR 52.222-90 where applicable. Praescient does not engage in racially discriminatory DEI activities, including disparate treatment based on race or ethnicity in recruitment, hiring, promotion, contracting, program participation, training, mentoring, leadership development, or allocation of company resources. Praescient's employment and contracting decisions are made based on merit, qualifications, experience, performance, business needs, and applicable contract requirements.
Applicants selected will be subject to a government security investigation and must meet eligibility requirements for access to classified information.
US Citizenship Required
Interested Candidates: Please forward your resume to recruiting@praescientanalytics.com and please visit our website to apply online at www.praescientanalytics.applicantstack.com/x/openings.

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