Senior SW Developer/Engineering Team Lead

Job ID: 2218540

• Data Delivery: is the customer facing team that triages incoming data
• ETL Team: is comprised of ETL engineering and development resources charged with determining and building the best solution to model, format and transform data
• Common Services Team: comprised of engineers that provides infrastructure support to the data engineers. The services of the team include DevOps, Cloud maintenance and optimization, monitoring and reporting

• Inform product decisions using an understanding of data pipeline techniques and issues, including API access and integration, pre-processing, cloud security, process, and schema optimization, and pros and cons of programming languages and associated packages
• Direct and encourage engineering team members toward prompt delivery of best-in-class technical solutions
• Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML-backed solutions at scale
• Supply leadership and technical guidance to a growing team of data engineers during the product development lifecycle
• Communicate with the project manager(s) to interpret customer requirements and assign engineering tasks accordingly
• Collaborate with the project manager(s) and team members to architect solutions that exceed customer expectations
• Recruit team members by reviewing resumes, conducting interviews, and delivering hiring recommendations
• Architect and develop cloud-based software solutions designed to ingest and process data from various sources
• Contribute to solutions that provide predictive models with raw data

• Clearance: TS/SCI w/Poly
• Education: BS in Computer Science, Engineering, Mathematics, or a related technical discipline
• Years of Experience: 7 + years of overall professional experience
• A successful candidate will have a history of proven leadership of small to mid-sized engineering teams
• The candidate should have extensive knowledge of data concepts, including ETL, pre-processing, schema design best practices, and NoSQL
• The candidate must also demonstrate hands-on experience architecting products and solutions designed to facilitate AI (Artificial Intelligence) and ML (Machine Learning) to analyze large sets of data and optimize workflows
• The candidate will also be able to communicate clearly and effectively with engineers and less technical team members (e.g., project managers, customers, and executive teams)
• 5+ years of industry experience in Software Development, Data Engineering, Business Intelligence, Data Science, or related field with a track record of manipulating, processing, and extracting value from large datasets
• Well-rounded and willing to learn and contribute meaningfully across all technical areas of our projects
• Strong experience with Python
• Experience with data modeling, data warehousing, and building ETL pipelines
• Experience using big data technologies (Hadoop, Hive, HBase, Spark, EMR, etc.)
• Strong understanding of concepts and components that comprise enterprise-level data pipelines
• Excellent communication skills with the ability to interact clearly and succinctly in written and oral presentations
• Detail-oriented, self-motivated, and organized

• Familiarity with:
  • NEXIS platform
  • Databricks
  • Building containerized services (e.g. via Docker)
  • Data conditioning
• Experience with:
  • Apache NiFi
  • Programming in Java, Apache Spark and PySpark
  • Amazon Web Services (AWS)
  • CI/CD pipeline
  • Agile Methodologies and Kanban Framework
  • Utilizing relational databases including the use of MySQL and/ or Oracle for designing database schemas
  • Linux, REST services, and HTTP