Data Engineer

The Military Family Life Counseling Program (MFLC) is seeking an experienced Data Engineer who will design, develop, and maintain our data solutions in support of our business intelligence and analytics operations that turn data into knowledge. This position will work with various systems from which to derive data, including SharePoint and data sources in an AWS environment. The ideal candidate will have a strong background in building and optimizing data quality, data pipelines, ETL processes, and database systems.

If you are a data-driven individual with strong problem-solving aptitude and are an excellent communicator, we would love to hear from you!

If you are a veteran with strong IT skills, a data engineering mindset, and strong communications skills, come join our veteran-friendly company as we shape the future of innovation.

Primary Responsibilities

• Design and implement data warehouse structures

• Develop and maintain ETL processes

• Optimize database performance and scalability

• Collaborate with data analysts and developers to meet reporting needs

• Ensure data quality, consistency, and security

Basic Qualifications

• Bachelor's degree with a minimum of eight (8 ) years of experience in data science, data analytics, systems engineering, or related fields.

• Extensive experience building and managing relational data warehouses.

• Must be proficient in MySQL.

• Must have strong SQL skills and database optimization techniques.

• Experience with ETL tools and processes 

• Must have experience with Python and/or other scripting languages.

• Knowledge of data modeling and dimensional modeling concepts.

• Understanding the purpose and ability to design various types of fact tables.

• Must have CDC (Change Data Capture) experience. 

Preferred Qualifications

• Experience with Superset and Power BI

• Familiarity with other AWS services

• Understanding of Message Queues 

• Experience with Flink or similar

• Experience with Pinot or similar

• DBT Experience

• Spark/Iceberg Experience

• Java, Scala, or Kotlin

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:

The Leidos pay range for this job level is a general guideline only and 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.