Job description

Elevate your career with MANTECH International Corporation! Join a dynamic team dedicated to national security through cutting-edge technology. Since 1968, MANTECH has led in delivering advanced solutions to government intelligence, the Department of Defense, and Federal Civilian sectors. Dive into innovation in Digital Transformation, Cybersecurity, IT, Data Analytics and Software Development. Your journey to impactful work and rapid growth starts now—be extraordinary at MANTECH! MANTECH is seeking a motivated, career and customer-oriented Senior Data Engineer to join our team in Raleigh, NC. This is a Hybrid position. In this role, you will collaborate with a team of client engagement experts, data engineers and data scientists to provide effective and efficient data solutions for commercial clients across a range of industries and environments. The ideal candidate will have deep data engineering skills and experience, and a customer-oriented approach to applying technology to complex problems. Responsibilities: • Work closely with commercial clients to understand their business needs, translate those into engineering requirements, and design and implement compelling solutions. • Design and implement robust data pipelines to ingest, transform, and integrate data from various systems and networks, ensuring seamless data flow. • Collaborate with cloud and system architects to establish secure and efficient data transfer protocols among different networks and systems. • Develop and enforce data quality standards, ensuring the accuracy, completeness, and consistency of integrated data. • Contribute to RFIs, proposals, and subject matter expertise as needed for business development. Minimum Qualifications: • Bachelor’s or Master’s degree in Computer Science, Information Technology, Engineering, or a related field. • 5+ years of experience in data engineering, data architecture, or related roles. • Experience with SQL and NoSQL databases • Experience with ETL tools like Azure Data Factory, Snowflake, Databricks, or similar. • Knowledge of big data technologies like Hadoop, Spark, or Kafka. • Experience with cloud services from providers such as Azure, AWS, or Oracle and 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. Preferred Qualifications: • Familiarity with data security and compliance frameworks (e.g., 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, comfortable with communicating resource needs and discussing project level concerns. Clearance Requirements: • US Citizenship is required Physical Requirements: • Must be able to be in a stationary position more than 50% of the time • Must be able to communicate, converse, and exchange information with peers and senior personnel • Constantly operates a computer and other office productivity machinery, such as a computer • The person in this position frequently communicates with co-workers, management, and customers, which may involve delivering presentations. Must be able to exchange accurate information in these situations • The person in this position needs to occasionally move about inside the office to access file cabinets, office machinery, etc. MANTECH considers all qualified applicants for employment without regard to disability or veteran status or any other status protected under any federal, state, or local law or regulation. If you need a reasonable accommodation to apply for a position with MANTECH, please email us at careers@mantech.com and provide your name and contact information.

Requirements

Must-haves

Work closely with commercial clients to understand their business needs, translate those into engineering requirements, and design and implement compelling solutions.
Design and implement robust data pipelines to ingest, transform, and integrate data from various systems and networks, ensuring seamless data flow.
Collaborate with cloud and system architects to establish secure and efficient data transfer protocols among different networks and systems.
Develop and enforce data quality standards, ensuring the accuracy, completeness, and consistency of integrated data.
Contribute to RFIs, proposals, and subject matter expertise as needed for business development.
Bachelor’s or Master’s degree in Computer Science, Information Technology, Engineering, or a related field.
5+ years of experience in data engineering, data architecture, or related roles.
Experience with SQL and NoSQL databases
Experience with ETL tools like Azure Data Factory, Snowflake, Databricks, or similar.
Knowledge of big data technologies like Hadoop, Spark, or Kafka.
Experience with cloud services from providers such as Azure, AWS, or Oracle and 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.
US Citizenship is required
Must be able to be in a stationary position more than 50% of the time
Must be able to communicate, converse, and exchange information with peers and senior personnel
Constantly operates a computer and other office productivity machinery, such as a computer

Nice-to-haves

Familiarity with data security and compliance frameworks (e.g., 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, comfortable with communicating resource needs and discussing project level concerns.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

sqlazureawspythonagile

Platform: avature
Effort: medium