Senior Data Engineer

MANTECH • Raleigh, NC

2d • Hybrid

About The Position

MANTECH International Corporation is seeking a motivated, career- and customer-oriented Senior Data Engineer to join its team in Raleigh, North Carolina. The position collaborates with client engagement experts, data engineers, and data scientists to deliver effective data solutions for commercial clients across a range of industries and environments. The role calls for deep data engineering skills and a customer-oriented approach to applying technology to complex problems.

The Senior Data Engineer works with commercial clients to understand business needs and turn them into engineering requirements, then designs and implements data solutions. The role also contributes subject matter expertise to business development activities as needed.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Information Technology, Engineering, or a related field.
• At least 5 years of experience in data engineering, data architecture, or related roles.
• Experience with SQL and NoSQL databases.
• Experience with ETL tools such as Azure Data Factory, Snowflake, Databricks, or similar.
• Knowledge of big data technologies such as Hadoop, Spark, or Kafka.
• Experience with cloud services from providers such as Azure, AWS, or Oracle, including their data storage and processing services.
• Proficiency in programming languages such as Python, R, and/or SQL.
• Experience with data warehousing, data lakes, and big data technologies.
• Familiarity and comfort with version control systems such as Git.
• U.S. citizenship is required.
• Must be able to remain stationary more than 50% of the time.
• Must be able to communicate and exchange information with peers and senior personnel.
• Must operate a computer and other office productivity machinery.
• Must occasionally move around inside the office to access file cabinets, office machinery, and similar items.

Nice To Haves

• Familiarity with data security and compliance frameworks such as the NIST framework.
• Cloud certifications such as Azure Databricks Data Engineer Certification, AWS Certified Developer, Oracle Cloud Infrastructure, or similar.
• Experience with agile development methodologies.
• Knowledge of data governance.
• Familiarity with dimensional modeling practices.
• Familiarity with project management fundamentals, including communicating resource needs and discussing project-level concerns.

Responsibilities

• Work closely with commercial clients to understand business needs, translate them into engineering requirements, and design and implement solutions.
• Design and implement data pipelines to ingest, transform, and integrate data from various systems and networks.
• Collaborate with cloud and system architects to establish secure and efficient data transfer protocols between networks and systems.
• Develop and enforce data quality standards to ensure integrated data is accurate, complete, and consistent.
• Contribute to requests for information, proposals, and subject matter expertise as needed for business development.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior