Data Engineering Manager at Govini

At Govini, we are changing how the United States approaches defense acquisition. We have moved away from manual, outdated processes to create a software-driven strategic advantage. Our primary platform, Ark, provides AI-enabled applications and high-quality data to military and national security teams, helping them develop and field essential capabilities more efficiently. We are looking for someone who is ready to make a real impact on global security by leading our talented engineering team.

What is this role?

We are looking for a Data Engineering Manager to join our team on a full-time, on-site basis in Pittsburgh, PA. This is a management-level position that requires a blend of leadership expertise and technical proficiency. You will be expected to guide our data strategy while remaining hands-on with the technology to mentor your team and solve complex problems. Please note that this position may require up to 10% travel and requires U.S. citizenship.

What will you do?

• Lead and mentor a team of data engineers, fostering a culture of innovation and professional growth while ensuring high standards for data quality.
• Design and oversee the development of robust data pipelines, data models, and architecture to support our analytics and reporting needs.
• Collaborate with cross-functional teams and stakeholders to align our engineering efforts with the company's strategic goals and project timelines.

What makes you a great fit?

To succeed in this role, you should have a strong background in data engineering and a proven ability to lead people. We are looking for the following qualifications:

• A Bachelor’s degree in Computer Science, Mathematics, or equivalent professional experience.
• At least 7 years of experience in a technical data engineering role, including 3 years of people management.
• Proficiency in SQL, stored procedures, and functions, alongside experience with AWS Aurora Postgres or MySQL.
• Hands-on expertise with big data technologies such as Spark, Hadoop, Databricks, and Kafka.
• Experience implementing streaming data pipelines and working with various data modeling techniques.
• Strong analytical skills and a high level of attention to detail.
• Bonus points if you have experience with Kubernetes, cloud design patterns, and managing large datasets in the terabyte range.

What's in it for you?

We value self-starters who are passionate about solving complex problems. By joining our team, you will have the opportunity to work on critical national security projects and help shape the future of defense acquisition. Govini is an Equal Opportunity Employer, and we are committed to building a diverse team where all qualified applicants are considered for employment regardless of race, religion, gender, disability, or veteran status.