Senior Data Engineer - Active DoD Top Secret clearance with SCI Eligibility required
Who we are.
Platinum Technologies is a Northern Virginia based integrated solutions firm that specializes in Cybersecurity, Cloud and Digital Services to the Public Sector. Our team solves hard problems and helps our Mission Partners achieve their goals. If you are self-motivated, possess demonstrated learning agility, and are passionate about delivering high-quality work products – we want to hear from you.
We lead with technical expertise, but that is just the tip of the iceberg – the ‘Why’ matters. At Platinum, we don’t hire people to do a job. We provide professional and leadership development to complement our self-motivated domain experts. Our teammates are dot-connecting leaders that operate in a mutually accountable environment to deliver thought leadership, expert technical analysis, and quality execution for our clients.
You.
Platinum Technologies is 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.
This role is on-site full time in Fayetteville, NC and requires an Active DoD Top Secret clearance with SCI Eligibility.
What you get to do.
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
Required Skills.
•Active DoD Top Secret clearance with SCI Eligibility.
•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 Skills:
•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.
The Company is an Equal Opportunity/Affirmative Action employer. All qualified candidates will receive consideration for employment without regard to disability, protected veteran status, race, color, religious creed, national origin, citizenship, marital status, sex, sexual orientation/gender identity, age, or genetic information.