Data Engineer
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Job Location:
Sterling, MA - USA
Monthly Salary:
Not Disclosed
Posted on:
Yesterday
Vacancies:
1 Vacancy
Job Summary
ASSYST is seeking an experienced Data Engineer to lead the design and optimization for our upcoming data infrastructure project with our federal client in Sterling VA
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.
Please Note: Due to federal contract requirements this position is restricted to U.S. citizens or lawful permanent residents.
Job Location: Sterling VA (Onsite)
Technical Requirements
- 35 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
ASSYST is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race color religion sex age disability military status national origin or any other characteristic protected under federal state or applicable local law
Required Experience:
IC
Key Skills
- Apache Hive
- S3
- Hadoop
- Redshift
- Spark
- AWS
- Apache Pig
- NoSQL
- Big Data
- Data Warehouse
- Kafka
- Scala
About Company
Leading digital transformation specialists. Learn about AI program governance, cybersecurity solutions, and Assyst role in government's digital-first initiatives.
