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Urgent! Data Engineer (Remote - US) Job Opening In Reston – Now Hiring ICF

Data Engineer (Remote US)



Job description

Description

**_*We are open to supporting 100% remote work anywhere within the United States.

Must be able to support Eastern Time Zone*_**

ICF is a rapidly growing, entrepreneurial, multi-faceted consulting company, seeking a Data Engineer.

The Data Engineer will help bring new data insights to a government agency committed to improving child welfare.

The ICF team performs custom software development, analytics, and maintenance on a suite of web-based applications, and works closely with clients and other contractors to ensure the performance and reliability of public-facing, mission-critical applications.

Based on your experiences and interests, we may ask you as a technology professional to support growth-related activities, including (but not limited to) RFI, RFP, prototypes, and oral presentations.

Team members are also expected to uphold and maintain appropriate certifications necessary for their practice expertise.

**What you’ll be doing:**

+ Help build, and optimize a AWS-based data lake to support AI/ML initiatives and advance analytics
+ Design and implement scalable data ingestion pipelines for both batch and real-time data from diverse structured and unstructured sources
+ Perform extensive data profiling, transformation and enrichment to prepare clean, ML ready datasets for data scientists and analysts.
+ Develop custom reports and data visualizations to support analytics, decision-making across business and technical teams
+ Collaborate with data scientists and business teams to deliver curated datasets and reporting needs for ML and analytics.
+ Support project delivery on Data lake, Data Warehouse/BI projects for external and internal clients, including partnering with ICF subject matter experts on project execution

**What you must have:**

+ Bachelor’s degree (e.g., Computer Science, Engineering or related discipline)
+ **6-8 years’ experience in Data engineering with strong background in pipeline development and data integration.**
+ 3+ years of hands-on experience with AWS data services, including:
+ Amazon Glue, Lambda, S3, StepFunctions and Athena; familiarity with Redshift and Lake Formation is a plus.
+ 6+ years of experience in SQL and programming, preferably in Python.
+ Experience with BI Tools like Tableau, PowerBI or Amazon QuickSight.
+ Experience with cloud integration tools such as Talend, Informatica
+ Excellent oral communications, thought leadership and formal presentation skills
+ US Citizen or Permanent Lawful Resident (Green Card Holder).
+ Must be able to obtain and maintain a Public Trust
+ MUST RESIDE IN THE United States (U.S.) and the work MUST BE PERFORMED in the United States (U.S.), as this work is for a federal contract and laws do apply​

**What we'd like you to have:**

+ Understand ETL concepts of data flow, data enrichment, data consolidation, change data capture and transformation
+ Familiarity with modern data lake architecture and data governance best practices.
+ Demonstrated experience showing strong critical thinking and problem solving skills paired with a desire to take initiative
+ Experience working with big data processing frameworks such as Apache Spark, and streaming platforms like Kafka or AWS Kinesis.
+ AWS certification (Data Analytics, Developer, or Solutions Architect) is a plus.
+ Experience with event-driven architectures and real-time data pipelines.
+ Experience with DevOps tools like Jenkins/Git to assist development process
+ Experience working in agile development environments

#LI-CC1

#Indeed

**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 (https://www.icf.com/legal/equal-employment-opportunity) policy.

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 with sincerely held religious beliefs, in all phases of the application and employment process.

To request an accommodation, please email  Candidateaccommodation@icf.com  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  workplace discrimination righ t s or our benefit offerings which are included in the  Transparency in (Benefits) Coverage Act.

**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  candidateaccommodation@icf.com .

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:

$89,203.00 - $151,646.00

Nationwide Remote Office (US99)


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