Mission Technologies, a division of HII

Senior Data Engineer – Cloud Engineer

Mission Technologies, a division of HII

full-time

Posted on:

Location Type: Remote

Location: Remote • Maryland • 🇺🇸 United States

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Salary

💰 $119,574 - $175,000 per year

Job Level

Senior

Tech Stack

AirflowAmazon RedshiftApacheAWSAzureCloudETLNumpyOraclePandasPostgresPySparkPythonSQL

About the role

  • 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.

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.
Benefits
  • 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
  • early childhood and post-secondary education scholarships

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
ETL processesdata integrationdata pipelinesdata virtualization architecturedata modelsschemasdatabase designsPythonApache tool suitestatistical methods
Soft skills
collaborationanalysis skillsproblem-solvingcapacity planningcommunication