Data Integration Engineer

102 ICF Incorporated, LLC; United States; Remote; USD 81,000 - 139,000; Full time

Job summary

ICF is seeking a Data Integration Engineer for a Washington DC area–preferred geographic region, with remote work options and occasional client-site meetings in Washington, DC. This federal contract role focuses on data movement, APIs, interoperability, and secure data exchange across cloud and on‑prem environments.

You will collaborate with Data Engineers, Architects, Security, Governance, and Operations to deliver reliable, scalable integration capabilities, maintain runbooks, and ensure

Qualifications

• US Citizenship is required due to federal contract requirements.
• Candidate must reside in the US and be authorized to work in the US.
• Bachelor’s degree or higher in a relevant field, or four additional years of experience in lieu of a degree.
• Minimum 6 years of relevant experience aligned to the role.

Responsibilities

• Implement data movement, replication, APIs and data integration to Summit.
• Coordinate secure connectivity and document connection patterns with Platform Engineering and Security.
• Apply data integration, APIs, replication, and migration support to role delivery.
• Collaborate with product, engineering, security, governance, and customer-facing stakeholders.
• Document work products, decisions, risks and delivery evidence for traceability.

Skills

US Citizenship

Written Communication

Analytical Skills

Team Collaboration

Education

Bachelor’s degree or higher

Experience substitute for degree

Tools

SQL

Python

Databricks

Azure Data Factory

Job description

Please note: This role is contingent upon a contract award. While it is not an immediate opening, we are actively conducting interviews and extending offers in anticipation of the award.

The Work

At ICF our Digital Modernization Division is an information technology and management consulting organization that delivers integrated, strategic solutions to federal clients. We bring expertise in cloud, cybersecurity, enterprise architecture, data modernization, and digital transformation to support mission-critical government programs.

Join a team accelerating the modernization of a large federal agency’s enterprise data and analytics ecosystem. This cloud-based platform provides data storage, analytics, governance, and AI/ML capabilities that enable thousands of users to transform data into actionable insights. As demand continues to grow, the team is focused on migrating legacy workloads, streamlining onboarding and support, expanding platform capabilities, and helping organizations across the enterprise adopt modern data and AI solutions at scale.

The Data Integration Engineer implements data movement, replication, APIs, interoperability patterns, and source-system integration support needed to connect source systems and legacy data pathways to Summit. Coordinates secure connectivity with Platform Engineering and Security, documents approved connection patterns, and supports reliable feeds by validating performance, lineage, error handling, and operational runbooks.

Job Location:

Remote, however, strong preference for candidates who live in the Washington DC Metro Area. There will be occasional onsite meetings on the client site in Washington, DC.

*If you accept this position, you should note that ICF does monitor employee work locations, blocks access from foreign locations/foreign IP addresses, and prohibits personal VPN connections.

What You Will Do:

• Implements data movement, replication, APIs, interoperability patterns, and source-system integration support needed to connect source systems and legacy data pathways to Summit.
• Coordinates secure connectivity with Platform Engineering and Security, documents approved connection patterns, and supports reliable feeds by validating performance, lineage, error handling, and operational runbooks.
• Apply Data integration, APIs, replication, source-system connectivity, secure data movement, ETL/ELT, operational runbooks, and migration support to support role delivery.
• Collaborate with relevant product, engineering, security, governance, quality, and customer-facing stakeholders as required by the role.
• Document work products, decisions, risks, and delivery evidence to support traceability and continuous improvement.

Basic Qualifications:

• U.S. Citizenship is required due to federal contract requirements.
• Candidate must reside in the U.S., be authorized to work in the U.S., and all work must be performed in the U.S.
• Candidate must have lived in the U.S. for three (3) full years out of the last five (5) years.
• Bachelor’s degree in Computer Science, Data Engineering, Information Systems, Database Administration, Systems Engineering, Cloud Engineering, or related field; or a high school diploma with four (4) additional years of relevant experience in lieu of a bachelor’s degree.
• Minimum 6 years of relevant experience aligned to the responsibilities of this role.
• Master’s degree may substitute for two (2) years of relevant experience.

Preferred Qualifications:

• Experience designing, implementing, and supporting enterprise-scale data integration, interoperability, and data movement solutions across cloud, hybrid, and on-premises environments.
• Strong experience implementing ETL/ELT pipelines, data replication strategies, ingestion frameworks, and migration solutions utilizing Databricks, Delta Lake, Azure Data Factory, Spark, SQL, and Python.
• Experience supporting large-scale legacy data warehouse modernization and migration initiatives, including data validation, reconciliation, and migration cutover activities.
• Experience designing and implementing API-based, event-driven, batch, and streaming integration patterns utilizing REST APIs, MuleSoft, Azure Event Hubs, messaging frameworks, or comparable technologies.
• Experience implementing secure data exchange, data-sharing, and interoperability solutions across multiple platforms, business domains, and cloud environments.
• Experience with Databricks Lakehouse architecture, Delta Sharing, Lakehouse Federation, Unity Catalog, and modern data-sharing frameworks.
• Experience integrating structured, semi-structured, and unstructured data sources into enterprise analytics platforms.
• Experience implementing secure connectivity patterns, network integration controls, identity management, and access governance in collaboration with Security and Platform Engineering teams.
• Experience developing and maintaining operational runbooks, integration standards, connection patterns, support documentation, and troubleshooting procedures.
• Experience implementing data lineage, metadata capture, monitoring, observability, alerting, and operational telemetry for data integration platforms.
• Experience validating integration performance, throughput, latency, reliability, error handling, exception management, and operational readiness.
• Experience supporting cloud-native integration platforms and services including Azure Data Factory, Azure Integration Services, Databricks Workflows, APIs, Event Hubs, and comparable technologies.
• Experience collaborating with Data Engineers, Architects, Governance teams, Security teams, Platform Engineers, Product Owners, and operations personnel to deliver reliable and supportable integration capabilities.
• Familiarity with data governance, metadata management, stewardship processes, and publication controls utilizing technologies such as Unity Catalog, Collibra EDC, Microsoft Purview, or similar solutions.
• Strong programming and scripting skills utilizing SQL, Python, Spark, REST APIs, JSON, and data integration frameworks.
• Understanding of DataOps principles, automated testing, pipeline validation, deployment automation, and CI/CD integration patterns.
• Experience supporting Federal government, healthcare, or other highly regulated environments preferred.
• Experience working in Agile, DevSecOps, DataOps, or cross-functional delivery teams.

Professional Skills:

• Highly effective analytical, problem-solving, and decision-making capabilities.
• Excellent written and verbal communication skills, with the ability to work effectively across technical and non-technical audiences.
• Strong organization, attention to detail, and the ability to prioritize and manage multiple responsibilities.
• Collaborative approach with a commitment to quality, accountability, and continuous improvement.

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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 their expertise and collaborate with others to achieve personal and professional goals. For more information, please read our EEO policy.

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

Work Authorization and Sponsorship

All candidates must be authorized to work in the United States. This position is not eligible for new H-1B visa sponsorship by ICF. Candidates who currently hold valid work authorization may be considered for a change of employer petition, subject to company policy and applicable immigration requirements.

Reasonable Accommodations are available, including, but not limited to, for disabled veterans, individuals with disabilities, and individuals with sincerely held religious beliefs, in all phases of the application and employment process. To request an accommodation, please email [e-mail] and we will be happy to assist. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

Read more about workplacediscriminationrights or our benefit offerings which are included in the Transparency 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 or assist with responses during interviews (whether in-person or virtual) is not permitted. This policy is in place to maintain the integrity and authenticity of the interview process.

However, we understand that some candidates may require accommodation that involves the use of AI. If such an accommodation is needed, candidates are instructed to contact us in advance at [e-mail]. We are dedicated to providing the 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:

$81,499.00 - $138,549.00

Nationwide Remote Office (US99)