Sr. Data Engineer with Security Clearance

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Job Overview

The Sr. Data Engineer at Marathon TS will be responsible for developing and maintaining robust data pipelines that ensure the effective extraction, transformation, and loading (ETL) of large datasets to support analytical and operational initiatives. This role involves collaborating with cross-functional teams to design data solutions that enhance the organization’s data architecture, drive data quality, and uphold data governance standards. The candidate must possess a government security clearance, allowing them to work on sensitive projects while adhering to compliance and security protocols.

Job Responsibilities

• Design, implement, and maintain scalable data pipeline architectures to facilitate smooth data flow and processing.
• Develop ETL processes using various data integration tools and techniques to ensure high-quality data availability.
• Collaborate with data scientists and analysts to understand data requirements and translate them into technical specifications.
• Monitor and optimize data pipelines for performance, reliability, and scalability, ensuring timely data delivery to end-users.
• Implement and uphold data security measures in accordance with company policies and regulatory requirements.
• Conduct data quality assessments and troubleshooting to resolve data discrepancies and improve overall data integrity.
• Participate in code reviews and provide mentorship to junior engineers in best practices and emerging technologies.
• Document and maintain data architecture designs and processes to provide clarity and support team operations.

Qualifications

• Bachelor’s degree in Computer Science, Information Technology, or a related field; Master’s degree preferred.
• Minimum of 5 years of professional experience in data engineering or related roles.
• Strong proficiency in SQL and experience with data warehousing solutions such as AWS Redshift, Google BigQuery, or Snowflake.
• Hands-on experience with data pipeline orchestration tools like Apache Airflow, AWS Glue, or similar.
• Proficient in programming languages such as Python, Java, or Scala for data processing and automation.
• Knowledge of big data technologies including Hadoop, Spark, or Kafka is highly advantageous.
• Ability to obtain and maintain a government security clearance.

Technologies & Tools

The Sr. Data Engineer will engage with a variety of advanced technologies and tools designed to facilitate effective data management and analysis. Key technologies include cloud computing platforms such as AWS and Azure, data integration tools like Talend and Informatica, and programming frameworks for data processing such as Apache Spark and Hadoop. Familiarity with database technologies like PostgreSQL and NoSQL databases like MongoDB is also essential for ensuring efficient data operations.

Ideal Candidates

The ideal candidate for the Sr. Data Engineer position will exhibit strong analytical thinking and problem-solving abilities, capable of navigating complex data challenges with ease. They will possess excellent communication skills to effectively collaborate across teams and articulate technical concepts to non-technical stakeholders. A proactive approach to identifying optimization opportunities and a commitment to upholding best practices in data security and governance are essential. Additionally, successful candidates will thrive in fast-paced environments and demonstrate adaptability to changing technologies and project requirements.