À propos
This is a high‑visibility role reporting to the Sr. Director of Solution Architecture. You will collaborate closely with data analytics, cloud architecture, and application development teams in a fast‑paced, client‑driven environment.
This position is Hybrid, with a preference for working a few days on‑site in Reston, VA.
Key Responsibilities
Design, build, and optimize scalable ETL/ELT pipelines that move data across on‑prem, cloud, and hybrid environments
Architect and manage enterprise data warehouses, data lakes, and Lakehouse solutions (Databricks, AWS/Azure)
Write production‑quality SQL, Python, and Spark code for data transformation, enrichment, and validation
Implement and enforce data governance, lineage tracking, and cataloging standards across the organization
Ensure data quality through automated monitoring, testing frameworks, and SLA adherence
Partner with data analysts, data scientists, and business stakeholders to understand and fulfill data requirements
Support CI/CD practices and infrastructure‑as‑code for data platform deployments
Document data models, pipeline flows, and technical specifications to support knowledge transfer
Technical Skills Languages & Querying
SQL (advanced)
Python
PySpark
Bash/Shell
Scala
Cloud & Platforms
Microsoft Fabric
Azure Synapse
Azure Data Factory
Orchestration & Pipelines
Apache Airflow
dbt
Databricks
Kafka
Spark
Infrastructure & DevOps
Terraform
Docker
Kubernetes
GitHub Actions
CI/CD
Basic Qualifications
Bachelor's degree in Computer Science, Information Systems, Engineering, or a related quantitative field
4+ years of experience in data engineering, data architecture, or a closely related role
3+ years of demonstrated experience building and maintaining production data pipelines at scale
3+ years of experience working in an enterprise IT environment
3+ years of experience with advanced SQL and proficiency in at least one scripting language (Python strongly preferred)
3+ years of hands‑on experience with a major cloud data platform (AWS, Azure, or GCP)
3+ years of experience with workflow orchestration tools such as Apache Airflow or Azure Data Factory
Preferred Qualifications
Familiarity with streaming/real‑time data processing (Kafka, Fabric Event Streams, or Spark Streaming)
Strong understanding of data modeling concepts and frameworks — star schema, OBT, Data Mesh
Familiarity with version control (Git) and software development best practices
Exposure to data governance frameworks and metadata management tools (Collibra, Alation)
Cloud certifications (AWS Data Analytics, Azure Data Engineer Associate, or equivalent)
Master's degree in a relevant field
Strong analytical and problem‑solving skills with attention to data accuracy and quality
Effective communicator — able to translate complex technical concepts for non‑technical stakeholders
Collaborative team player comfortable working across cross‑functional teams
Self‑directed with ability to manage multiple priorities in a deadline‑driven environment
EEO Statement ICF is an equal opportunity employer. We consider qualified applicants with arrest and conviction records. Reasonable accommodations are available for disabled veterans, individuals with disabilities, or sincerely held religious beliefs. All information will be kept confidential and used only to the extent required to provide needed accommodations.
Pay Range: $98,614.00 – $167,644.00 (Virginia Remote Office – VA99)
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Compétences linguistiques
- English
Avis aux utilisateurs
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