Senior Data Engineer
Senior Data Engineer
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$ 104650 - 189175
1 Vacancy
Job Description
Are you ready to join Leidos allstar team Through training teamwork and exposure to challenging technical work let Leidos show how to accelerate your career path.
Leidos has an exciting opening for you as our next Data Engineer supporting the National Media Exploitation Center (NMEC) under our 10year DOMEX Technology Platform (DTP) contract. Have impact as part of a mission focused solutions oriented and adaptive team that values innovation collaboration and professional development. Your job will be to design implement maintain and monitor data pipelines both in support of R&D prototypes and production pipelines. You succeed through effective cross functional collaboration in areas such as but not limited to development product and QA in a dynamic and fast paced environment. While most work is conducted onsite at our client location in Bethesda MD we offer a flexible schedule and some unclassified development tasks may be performed remotely. Percentage of remote work will vary based on client requirements/deliverables.
As a senior member of the team you bring deep expertise in data engineering and will work closely with other infrastructure and network engineers data scientists and system engineers on the following key tasks:
- Perform Database builds installs configuration administration and troubleshooting of database systems (e.g. MariaDB/MySQL Postgres Elasticsearch Qdrant Milvus etc.
- Ensure data integrity by performing employing data engineering best practices
- Maintain database and data pipeline documentation data dictionaries and system diagrams in JWICS or equivalent environments.
You demonstrate clear devotion to the data engineering best practices and meet the following qualifications (required):
- Bachelors Degree and 12 years of prior relevant experience or Masters with 10 years of prior relevant experience
- Must possess an active TS security clearance and the ability to obtain and maintain a TS/SCI security designation with Polygraph
- Experience with SQL NoSQL and vector databases such as MSSQL MySQL PostgreSQL Redis FAISS Milvus Qdrant etc.
- Experience designing and maintaining ETL and ELT pipelines with technologies such as Spark Airflow Dagster Prefect Argocd Metaflow Kubeflow etc.
- Experience with DevOps / MLOps using CI/CD methodology with data pipelines and cloudnative deployment paradigms
- Experience with database design implementation maintenance monitoring performance tuning and optimization.
- Expertise in data profiling techniques and understanding the content from both a data quality and business perspective
- Experience with data quality and accuracy evaluation techniques
- Experience with Agile practices
- Development experience with Python
- Experience on data model development modification and migration and maintenance
- Strong verbal and written communication skills
- Enthusiastic with the ability to work well on a team and a selfstarter who can work independently.
You will wow us even more if you have some of these skills:
- An active TS//SCI clearance with poly
- Experience supporting data teams and data scientists
- Experience on a production/ enterprise system
- Experience in airgapped environments
- Application development and deployment in an AWS environment
- AWS certifications
Original Posting Date:
While subject to change based on business needs Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.
Pay Range:
Pay Range $104650.00 $189175.00The Leidos pay range for this job level is a general guideline onlyand not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job education experience knowledge skills and abilities as well as internal equity alignment with market data applicable bargaining agreement (if any) or other law.
Required Experience:
Senior IC
Employment Type
Full-Time
