Data Engineering Lead

Company DescriptionGovini is a decision science firm dedicated to transforming the business of national security through data science and machine learning. Through its data and analytic platform, Govini delivers objective, decision-grade information at scale to the national security enterprise, so that leaders can better direct investments to innovation and modernization. Govini has offices in Arlington, Virginia, San Francisco, California, and Pittsburgh, Pennsylvania.
We are seeking a skilled and dedicated Data Engineering Lead to join our Engineering team. As the Data Engineering Lead at Govini, you will be responsible for designing and implementing high throughput data pipelines, data warehousing solutions, and ETL processes. In order to do this job well, you must be obsessed with quality, efficiency, and love working with diverse technologies. You have a strong understanding of Data Engineering principles, automation, and software development. You must also have strong interpersonal skills to work cross-functionally across internal teams as well as directly with end-users and Govini platform SMEs.
This is a full-time team member position, working a hybrid remote/in-office schedule in our Pittsburgh, PA office.

Scope of Responsibilities

• Lead Data Engineering initiatives from ideation through implementation as well as the day to day of a small team of Data engineers
• Lead Agile ceremonies for the Data engineering team, balancing roadmap improvements and feature work
• Implement streaming data pipelines including data modeling and transforming the data within the data warehouse to optimize for application consumption
• Develop frameworks, standards, and best practices for data modeling, and ETL pipelinesTrack and measure KPIs such as data freshness and data quality

Qualifications

• U.S. Citizenship is required

Required Skills
• Bachelor's degree in Computer Science, Mathematics or equivalent experience
• 3+ years of programmatically transforming data
• Experience implementing streaming data pipelines
• Experience with data modeling
• Experience with AWS’ Aurora PostgresProficient in SQL, Stored Procedures, FunctionsProficient in Java and Hibernate
• Requires strong analytical ability and attention to detail
• Ability to work independently with little supervision 

Desired Skills
• Experience working with Kubernetes
• Knowledge of design patterns in the Cloud and Building Well-Architected Solutions
• Experience KafkaWorking knowledge with large (multiple terabytes) amounts of data

We firmly believe that past performance is the best indicator of future performance.  If you thrive in ambiguity, are a self-starter, and care about solving technical problems in the national security domain, we’re eager to hear from you.
Govini is an Equal Opportunity Employer.  All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans status or any other characteristic protected by law.