Essential Functions
Core Capabilities
Strong proficiency in data engineering languages such as Python, SQL, Java, or Scala
Proficiency in large scale data processing engines including but not limited to Spark, Flink, and Snowflake
Prior experience as a data Engineer, software engineer, or similar technical data professional
Hands-on experience with orchestration and pipeline tools like Apache Airflow, Azure Data Factory, Prefect, FiveTran, or Mage
Knowledge of ANSI SQL and data manipulation/query development.
Experience with cloud-based AI/ML platforms (e.g., AWS bedrock, Azure Foundry, etc.).
Open-source AI/ML solutions (various)
Experience with Agile software development (i.e., Jira and Confluence)
Experience in government, defense, or a related regulated sector
Relevant certifications in data, analytics, cloud, or project delivery are beneficial.
Solution Mapping and Design
Assist in evaluating and identifying appropriate data, analytics, and AI/ML approaches that align with business requirements.
Contribute to the design of scalable and practical analytics solutions that support business goals.
Team Player
A strong desire to be a Team player and build a happy collaborative environment.
Mentoring and support for Junior engineers and data scientists
Strong communication skills, both written and verbal.
Solid software engineering skills, including version control (e.g., Git), continuous integration, and automated testing.
Possess a very strong understanding of python and SQL for data ingestion, transformation, and pipelining.
Hands on knowledge of batch and stream processing (Kinesis & Kafka) for large scale data pipelines.
knowledge of architecture and cloud platforms, preferably AWS and Azure
Proactive mindset with a passion for continuous learning and improvement.
Familiarity with containerization technologies such as Docker and Kubernetes.
Experience with Apache Airflow (MWAA), AWS EKS, AWS RDS Aurora (MySQL),
Data observability tools such as Datahub Mote Carlo, Dynatrace, or Great Expectations
Experience building AWS and Azure infrastructure.
Certifications in AWS, Azure, or other relevant platforms.
Key Responsibilities
Design, develop, and maintain scalable and reliable data pipelines using tools such as Airflow, Python, SQL, and Databricks DLT.
Collaborate closely with data scientists, analysts, and other stakeholders to ensure that data is accessible, consistent, and reliable.
Work with both structured and unstructured data sources to ingest, transform, and store data in a manner that meets business requirements.
Implement effective data modeling and database design to support analytic and operational use cases.
Ensure best practices in data security, data quality, and data governance.
Optimize and tune SQL queries and database performance for high-concurrency environments.
Collaborate with software engineering and analytics engineering teams to integrate data pipelines with application systems.
Leverage cloud platforms (AWS & Azure) to design and deploy data solutions that are scalable, cost-effective, and meet the organization’s needs.
Act as a mentor and provide guidance to junior data engineers, promoting skill growth within the team.
Quality and Validation
Participate in validation, testing, and review of analytics and AI/ML solutions to ensure they meet business and performance requirements.
Support data quality, consistency, and governance practices within assigned solutions.
Technology Awareness
Stay informed about the latest developments in AI/ML technologies and industry best practices.
Assess new tools and technologies for potential application within the organization.
Qualifications
Bachelor’s Degree and minimum 6 years of prior relevant experience. Graduate Degree and a minimum of 4 years of prior related experience. In lieu of a degree, minimum of 10 years of prior related experience.
Bachelor’s degree in Data Science, Computer Science, Mathematics, Engineering, or related field.
4+ years of experience in data science, advanced analytics, data analysis, or related role.
Preferred Additional Skills
Strong knowledge of AI/ML concepts and common models such as regression, classification, clustering, and deep learning.
Proven experience in requirement gathering, solution design, and project management.
Strong communication skills with the ability to convey technical concepts to non-technical audiences.
Strong problem-solving skills and a proactive approach to identifying and addressing business challenges.
Experience with programming languages and tools commonly used in AI/ML workflows (e.g., Python, R, SQL).
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L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law.
Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information.
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