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Data Modernization Jobs in Virginia (NOW HIRING)

ICF

Program Manager (Data Modernization)

Reston, VA · Hybrid

The Work Our Digital Modernization Division specializes in delivering enterprise-scale data platforms, cloud modernization, advanced analytics, and DevSecOps engineering capabilities to federal ...

Guidehouse

Data Engineer (Senior Consultant)

Mclean, VA · On-site

$85K - $141K/yr

Support data integration and modernization efforts aligned with CMS EIPM objectives * Participate in Agile development practices, including sprint planning and backlog management What You Will Need:

Guidehouse

Data Engineer (Senior Consultant)

Mclean, VA

$85K - $141K/yr

Support data integration and modernization efforts aligned with CMS EIPM objectives * Participate in Agile development practices, including sprint planning and backlog management What You Will Need:

Chenega MIOS SBU

Data Architect

Arlington, VA · On-site

$73.50 - $94.50/hr

... data modernization initiatives, transitioning legacy systems from "as-is" to "to-be" architectures, with a focus on cloud and hybrid solutions • Design and manage enterprise data structures ...

SMX

Data Engineer (5313)

Arlington, VA

$131K - $158K/yr

cBEYONData + SMX is seeking a Data Engineer to support a federal customer's data modernization initiatives. This role will focus on designing, developing, and delivering scalable data solutions that ...

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Data Modernization information

What jobs in the US pay 300,000 a year?

In the field of data modernization, senior roles such as Data Science Directors, Chief Data Officers, and Data Engineering Managers can earn $300,000 or more annually, especially with extensive experience, advanced skills in cloud platforms, and leadership responsibilities. These positions often require a strong background in data architecture, analytics, and strategic planning, and may include bonuses or stock options that contribute to total compensation.

What is the difference between Data Modernization vs Data Analyst?

AspectData ModernizationData Analyst
Primary FocusUpgrading and transforming data systems and infrastructureAnalyzing data to generate insights and reports
Skills RequiredData architecture, cloud platforms, database managementStatistical analysis, data visualization, SQL
Work EnvironmentIT departments, data engineering teamsBusiness units, analytics teams
CertificationsCloud certifications, data management certificationsData analysis, visualization certifications

Data Modernization involves upgrading data systems and infrastructure to improve efficiency and scalability, often requiring technical expertise in data architecture and cloud platforms. In contrast, Data Analysts focus on interpreting data, creating reports, and providing insights to support business decisions. While both roles work with data, their core responsibilities and skill sets differ significantly.

What jobs make $1,000,000 a year?

In the field of data modernization, high-paying roles such as Chief Data Officer, Data Science Director, or Chief Technology Officer can earn over $1 million annually, especially in large organizations or tech companies. These positions typically require extensive experience, advanced skills in data management, leadership, and strategic planning, along with strong industry reputation and sometimes equity compensation.

What is data modernization?

Data modernization is the process of updating and transforming legacy data systems and infrastructure to more current, scalable, and efficient technologies. It often involves migrating data to cloud platforms, implementing new data management tools, and adopting modern analytics practices to improve data accessibility and decision-making.

What are some common challenges faced by professionals working in Data Modernization projects?

Professionals in Data Modernization often encounter challenges such as integrating legacy systems with modern cloud-based solutions, ensuring data quality during migration, and managing data security and compliance. Additionally, they may need to collaborate closely with cross-functional teams to align business goals with technical requirements. Adaptability and strong communication skills are important, as priorities can shift rapidly in response to evolving business needs and technology updates.

What are the key skills and qualifications needed to thrive in Data Modernization, and why are they important?

To thrive in Data Modernization, you need strong expertise in data architecture, cloud platforms, and data migration, often supported by a degree in computer science or information systems. Familiarity with tools like Azure, AWS, Snowflake, ETL frameworks, and certifications such as AWS Certified Data Analytics or Microsoft Azure Data Engineer are commonly required. Excellent problem-solving, project management, and communication skills help professionals effectively lead transformation initiatives and collaborate with stakeholders. These skills are crucial for ensuring seamless migration, maximizing data value, and driving innovation within organizations.

Which 3 jobs will survive AI?

Data modernization roles such as data engineers, data architects, and database administrators are likely to persist as they require specialized knowledge of data systems, architecture, and security that AI cannot fully replicate. These jobs involve designing, managing, and securing complex data environments, often requiring certifications and hands-on expertise. Skills in data governance, cloud platforms, and programming remain essential for these positions.
What are popular job titles related to Data Modernization jobs in Virginia? For Data Modernization jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Data Modernization jobs in Virginia look for? The top searched job categories for Data Modernization jobs in Virginia are:
Data Modernization jobs near you
Program Manager (Data Modernization)

Program Manager (Data Modernization)

ICF

Reston, VA • Hybrid

Full-time

Posted 24 days ago

Job description

The Work
Our Digital Modernization Division specializes in delivering enterprise-scale data platforms, cloud modernization, advanced analytics, and DevSecOps engineering capabilities to federal government agencies. We design, build, and operate high-performance data and analytics ecosystems that enable mission-critical decision-making.
We are seeking an accomplished Program Manager with extensive experience in leading complex federal data initiatives. In this role, you will oversee the development, operations, and modernization of an advanced analytics and enterprise data environment that supports a major federal mission. This environment is comprised of a cloud-hosted data lake, Databricks, Tableau, graph data services, social media analytics tools, and a comprehensive DevSecOps toolchain.
Job Location
Hybrid schedule up to 3x a week within the Washington, DC area.
What You Will Do:
Enterprise Program Leadership

  • Lead the end-to-end management of a large federal data platform, including a cloud-hosted enterprise data lake, reporting tools, AI/ML capabilities, and enterprise analytics services.

  • Manage program financials, staffing plans, contract performance, and resource allocations. Lead program-level planning, roadmap development, dependency management, and release coordination across multiple workstreams.

  • Oversee team performing multi-year modernization initiatives spanning data engineering, advanced analytics, artificial intelligence, cloud architecture, and knowledge graph technologies.

  • Manage cross-functional agile delivery teams specializing in analytics, data engineering, cloud operations, security, and user support.

  • Champion the adoption of AI/ML, automation, predictive modeling, and responsible data science methodologies.

  • Partner with DevSecOps and cloud engineering leads to align processes, tools, and compliance with ATO requirements.


Data, Analytics & Reporting Operations

  • Oversee the management of operational data stores, data marts, data ingestion pipelines, and API-driven data sharing services.

  • Ensure the reliability, accuracy, and performance of enterprise reporting tools, including Tableau, SAS, Oracle Analytics, and social listening/response platforms.


Stakeholder, Governance & Compliance

  • Serve as the primary interface with federal leadership, mission owners, and technical teams.

  • Ensure adherence to federal data governance, identity management, security, privacy, and compliance requirements for the program.

  • Ensure compliance with federal security controls, ATO requirements, zero trust initiatives, and continuous monitoring obligations.

  • Develop and maintain program KPIs, dashboards, and performance reports.


Vendor, Partner & Multi-Team Coordination

  • Manage subcontractors, partners, and multi-vendor engineering teams to ensure cohesive delivery.

  • Coordinate with other federal portfolios, enterprise systems, and shared services organizations to facilitate cross-cutting integrations and modernization initiatives.


What You Will Bring With You:

  • U.S. Citizen with ability to obtain and maintain a federal Public Trust or equivalent clearance.

  • Bachelor's degree in Computer Science, Information Systems, Engineering, or a related discipline.

  • 10+years of professional experience managing large-scale data and analytics projects

  • Must have Project Management Professional (PMP) certification.

  • Information Technology Infrastructure Library (ITIL) certification

  • Program management certification/leadership/management certification or agile certifications (e.g. SAFe, Certified Scrum Master (CSM)


What We Would Like You To Bring With You:

  • Significant technology expertise in addition to program management experience.

  • Demonstrated success leading multi-vendor teams and complex contracting environments.

  • Demonstrated ability to manage complex data ingestion, advanced analytics workloads, and distributed compute environments.

  • Proven experience with programs integrating AI/ML and predictive analytics into enterprise operations.

  • Strong background in implementing Agile methodologies at scale.

  • Experience managing programs using Databricks

  • Experience with programs performing work in knowledge graphs, investigative analytics, or advanced entity resolution.

  • Experience leading cloud modernization programs in AWS or Azure environments.

  • Previous hands-on technical experience


Professional Skills:

  • Outstanding communication, stakeholder engagement, and executive briefing capabilities.

  • Strong analytical reasoning, program oversight, and problem-solving skills.

  • Highly organized with the ability to manage multiple concurrent technical workstreams.

  • Proven track record of leading teams through ambiguity and evolving modernization requirements.

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:

$130,687.00 - $222,169.00Reston, VA (VA30)

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