Senior Data Engineer (Cloud Engineer 4) 26415

HII's Mission Technologies division•Annapolis Junction, MD

About The Position

We are seeking a highly skilled Data Engineer to join our dynamic team. The ideal candidate will be responsible for designing, developing, and maintaining scalable data pipelines and data warehouses to support advanced analytics and business intelligence initiatives. This role requires expertise in cloud platforms, big data technologies, and programming languages to ensure efficient data processing and integration across diverse systems. The Data Engineer will collaborate closely with data scientists, analysts, and stakeholders to deliver reliable and high-quality data solutions that enable strategic decision-making.

Requirements

9 years relevant experience with Bachelors in related field; 7 years relevant experience with Masters in related field; 4 years relevant experience with PhD or Juris Doctorate in related field; or High School Diploma or equivalent and 13 years relevant experience.
Strong proficiency in Python (Pandas, NumPy, PySpark) and Apache tool suite.
Hands-on experience with ETL frameworks (Airflow, Luigi, Prefect, or similar).
Ability to apply statistical methods in R for data validation and analysis.
Proficiency in Postgres and at least one of the following: SQL Server or Oracle databases.
Familiarity with AWS (Glue, Redshift, S3) or Azure data services.
Understanding of RESTful API integrations.
Excellent analysis skills with the ability to interpret complex datasets effectively.
Strong understanding of database design principles combined with experience in analysis skills to optimize data architecture solutions.
Knowledge of Agile development practices to facilitate collaborative project execution.

Nice To Haves

Familiarity with hybrid environments and on-premises/cloud system integrations
Experience working in highly regulated industries or government organizations

Responsibilities

Design, develop, and optimize ETL processes using open-source tools to facilitate seamless data integration from various sources including Postgres, Oracle, SQL Server, SharePoint along with RESTful API integrations with SaaS solutions.
Build and maintain scalable data pipelines to support large-scale data processing and analytics.
Design, build and optimize a data virtualization architecture
Develop and manage data models, schemas, and database designs for data warehouses using SQL.
Implement best practices for data quality, security, and governance across all platforms.
Collaborate with cross-functional teams to understand data requirements and translate them into technical solutions aligned with Agile methodologies.
Monitor system performance, troubleshoot issues promptly, and perform capacity planning for future growth.
Stay current with emerging technologies in big data analytics, and cloud computing (AWS/Azure) to continuously improve infrastructure efficiency.

Benefits

We offer competitive benefits such as best-in-class medical, dental and vision plan choices; wellness resources; employee assistance programs; Savings Plan Options (401(k)); financial planning tools, life insurance; employee discounts; paid holidays and paid time off; tuition reimbursement; as well as early childhood and post-secondary education scholarships.
Bonus/other non-recurrent compensation is occasionally offered for qualified positions, and if applicable to this role will be addressed by the recruiter at the screening phase of application.

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