Senior Data Engineer

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 currently has an opportunity for a seeking a highly experienced and motivated Senior Data Engineer to join our growing team.

The ideal candidate will have extensive experience in designing, building, and optimizing scalable data pipelines, as well as managing and deploying data infrastructure in cloud environments.

You will work closely with our data science, analytics, and DevOps teams to ensure seamless data flow and integration across our systems, and you will mentor junior team members to elevate the overall technical capability of the team.

This role is on-site in Herndon, VA. Candidate must hold an active DoD TS / SCI clearance with the ability to obtain a CI with polygraph.

What you get to do.

• Lead the design, development, and maintenance of complex, scalable data pipelines.
• Optimize and troubleshoot data pipelines for performance, reliability, and scalability.
• Collaborate with engineers and analysts to understand data requirements and deliver high-quality data solutions.
• Implement and manage ETL processes using advanced tools like Apache Airflow, Spark, or similar.
• Ensure data quality and consistency through rigorous testing, validation, and governance practices.
• Deploy, monitor, and maintain data infrastructure in cloud environments (AWS, GCP, Azure).
• Implement DevOps practices to streamline data workflows, including CI / CD pipelines, Docker, and Kubernetes.
• Mentor and provide guidance to junior data engineers, fostering a culture of continuous improvement and collaboration.
• Stay up-to-date with industry trends and emerging technologies to drive innovation within the data engineering team.

Required Qualifications :

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• 7+ years of experience in data engineering or related roles.
• Ability to obtain a CI with Polygraph.
• Advanced proficiency in SQL and experience with relational databases (e.g., PostgreSQL, MySQL).
• Extensive experience with big data technologies (e.g., Hadoop, Spark).
• Deep understanding of cloud platforms (AWS, GCP, Azure) and their data services.
• Strong understanding and practical experience with DevOps practices and tools (CI / CD, Docker, Kubernetes).
• Proven ability to optimize and troubleshoot complex data systems and pipelines.
• Excellent problem-solving skills and attention to detail.
• Strong communication and leadership abilities, with experience mentoring junior engineers.

Desired Skills :

• Experience with NoSQL databases (e.g., MongoDB).
• Proficiency in programming languages such as Python, Java, or Kotlin.
• Experience with data visualization tools (e.g., Tableau, Power BI).
• Strong understanding of data governance and security practices.
• Experience working in Agile / Scrum environments.

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.

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