Senior Data Engineer at Athenix Special Missions, LLC

, North Carolina, United States -

Full Time

Start Date

Immediate

Expiry Date

19 Jan, 26

Salary

0.0

Posted On

21 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Infrastructure Design, ETL Processes, Data Analysis, Performance Optimization, Security Measures, Data Governance, Cloud Solutions, Data Modeling, Programming Skills, Collaboration, Problem-Solving, Analytical Thinking, Communication, Adaptability, Attention to Detail, Data Quality

Industry

Defense and Space Manufacturing

Description

Description Athenix Special Missions is seeking a Senior Data Engineer in Fort Bragg, North Carolina! ASM Quality Policy: To meet or exceed our customers’ expectations for quality, delivery, and service through continual improvement, striving to meet our objectives, and committing to meeting all legal and statutory requirements Position Overview: We are seeking a highly skilled and versatile Data Engineer to join our team and play a critical role in designing, building, and optimizing our data infrastructure. This position combines elements of data analysis, engineering, and architecture to ensure the availability, reliability, and accessibility of data for analytics and decision-making. The ideal candidate will have a strong technical background, problem-solving skills, and a passion for working with data, while also collaborating with cross-functional teams to deliver innovative data solutions. Key Responsibilities: Data Infrastructure Design and Development: Build and maintain scalable, reliable, and efficient data pipelines to collect, process, and store data from various sources. Design and implement ETL (Extract, Transform, Load) processes to prepare data for analysis and reporting. Develop and maintain data models, schemas, and standards to support analytics and operational needs. Data Analysis and Insights: Collaborate with data scientists, analysts, and business stakeholders to understand data needs and deliver solutions. Analyze large datasets to identify trends, patterns, and actionable insights. Present findings and recommendations to stakeholders using dashboards, reports, and visualizations. Performance Optimization and Monitoring: Optimize database and data pipeline performance, ensuring scalability and reliability for large datasets. Monitor and troubleshoot data pipeline issues, minimizing downtime and ensuring system reliability. Implement data quality checks and validation processes to ensure data integrity. Security and Compliance: Implement security measures to safeguard data and systems against unauthorized access and breaches. Ensure compliance with data governance policies, security standards, and regulatory requirements (e.g., GDPR, HIPAA). Establish best practices for data management, security, and governance to protect sensitive information. Emerging Technologies and Process Improvement: Stay updated on industry trends and emerging technologies to enhance analytical and architectural capabilities. Identify opportunities to improve data collection, processing, and analysis workflows. Evaluate and recommend data management tools, technologies, and platforms to meet organizational goals. Requirements Required: Active TS/SCI Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field (or equivalent experience) OR CSSLP, CISSP-ISSAP Strong programming skills in languages such as Python, Java, or Scala. Proficiency in data analysis tools and programming languages (e.g., SQL, R). Experience with data processing frameworks (e.g., Apache Spark, Hadoop) and orchestration tools (e.g., Airflow). Familiarity with cloud-based data solutions (e.g., AWS Redshift, Google BigQuery, Azure Data Factory). Proven experience in data modeling, database design, and data architecture frameworks. Strong analytical and problem-solving skills, with attention to detail. Excellent communication and collaboration skills to work effectively in cross-functional teams. Preferred: Master’s degree in a related field or professional certifications (e.g., AWS Certified Data Analytics, DAMA Certified Data Management Professional). Familiarity with big data tools and platforms (e.g., Hadoop, Spark, Kafka). Knowledge of real-time data streaming tools (e.g., Apache Kafka, Flink). Experience with containerization technologies (e.g., Docker, Kubernetes). Understanding of machine learning pipelines and data science workflows. Knowledge of enterprise architecture frameworks (e.g., TOGAF). Key Competencies: Analytical Thinking: Ability to break down complex problems and identify solutions. Communication: Strong written and verbal communication skills to effectively convey data insights and technical solutions. Collaboration: Ability to work effectively with cross-functional teams, including analysts, data scientists, and business stakeholders. Adaptability: Willingness to learn and adapt to new tools, technologies, and methodologies. Attention to Detail: Commitment to accuracy and thoroughness in data analysis and engineering processes. Security Awareness: Understanding of data security principles and ability to implement measures to protect sensitive information. Equal Opportunity Employer, including disability and protected veteran status

Responsibilities

The Senior Data Engineer will design, build, and optimize data infrastructure, ensuring data availability and reliability for analytics. This role involves collaborating with cross-functional teams to deliver innovative data solutions and analyzing large datasets for actionable insights.