ASSYST · 20 hours ago
Data Engineer
Sterling, VA
Full-time
Onsite
Mid, Senior Level
3+ years expASSYST, Inc. is seeking an experienced Data Engineer to lead the design and optimization for their upcoming data infrastructure project with a federal client. The candidate will be responsible for building robust data pipelines, managing large-scale data warehouses, and mentoring junior engineers to ensure the delivery of high-quality, scalable data solutions.
Big DataEnterprise Resource Planning (ERP)
No H1B
U.S. Citizen Only
Responsibilities
Building robust data pipelines
Managing large-scale data warehouses
Mentoring junior engineers to ensure the delivery of high-quality, scalable data solutions
Qualification
Required
3–5+ years in data engineering or backend data systems
Experience leading data pipeline projects and mentoring junior engineers
Proficient in building and optimizing ETL/ELT pipelines using Apache Airflow, Spark, dbt, Kafka, Databricks, or Flink
Strong skills in SQL, Python or Scala
Experience working with data warehouses such as Snowflake, BigQuery, or Redshift
Knowledge of data lakes including Delta Lake and Lakehouse architecture
Familiarity with cloud platforms (AWS, GCP, Azure)
Experience with containerization (Docker/Kubernetes) and orchestration tools
Hands-on experience with CI/CD and data versioning (e.g., DVC)
Strong problem-solving and analytical abilities
Excellent communication and collaboration skills
Commitment to code quality, documentation, and agile practices
Experience with real-time data processing
Knowledge of cataloging and data governance practices
Understanding of privacy/compliance standards such as GDPR and HIPAA
Experience collaborating with analytics, machine learning, or business intelligence teams
Company
ASSYST
ASSYST is a global CMMI level 3 information technology solutions provider.
51-200 employees
Funding
Current Stage
Growth StageLeadership Team
Shyama Mandal
Chief Executive Officer
Recent News
2025-07-16
Company data provided by crunchbase