The WorkThe Data Integration Engineer will design and implement secure, traceable data pipelines and integrations for the migration and modernization of government data. The role focuses on mapping, transformation, validation, monitoring, and reliable movement of structured and unstructured data.
Job Location: Remote work is authorized. Must support US Eastern time zone working hours.
What You Will Do - Design, build, and optimize ETL and data-integration pipelines.
- Map and transform legacy data into approved target schemas and models.
- Create integrations using APIs, database tools, and data-platform services.
- Implement data-quality checks, validation, monitoring, security, and traceability.
- Tune data movement and storage for reliability and performance.
- Collaborate with data governance personnel, subject-matter experts, developers, and testers.
What You Will Bring With You - 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
- Candidate must be able to pass successful Public Trust background check
- US Citizenship is required by the federal government for this position
- Minimum five years of experience designing and optimizing end-to-end data pipelines, ETL, data models, validation, storage, and retrieval.
What We Would Like You To Bring With You - Bachelor's degree in a related field; directly related experience may be considered in place of education.
- Strong SQL skills and experience with Microsoft SQL Server.
- Experience with SSIS and at least one of Python, Java, Scala, or R.
- Experience with APIs, relational and NoSQL databases, and cloud data platforms.
- Ability to work effectively in Agile delivery teams and collaborate with government and contractor stakeholders.
- Clear written and verbal communication skills, strong organization, and attention to detail.
- Azure, AWS, GCP, or data-engineering certification.
- Experience with Databricks, Azure Data Factory, Spark, Hadoop, or Kafka.
Professional Skills - Highly effective analytical, problem-solving, and decision-making capabilities.
- Excellent communication and interpersonal skills to work effectively across business, technical, and client teams.
- Organized, detail-oriented, and able to prioritize multiple assignments in a delivery-focused environment
#LI-CC1 #Indeed Bot and Third-Party ApplicationsPlease note that this application must be submitted directly by the applicant for consideration. Failure to do so may result in the application being excluded for consideration. Applicants needing an accommodation for disability or religious purposes in connection with the application process should contact
[email protected] for assistance.
Candidate AI Usage PolicyAt 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
[email protected]. 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:
$98,614.00 - $167,644.00
Nationwide Remote Office (US99)
