JOB SUMMARY

As a Sr. Data Engineer, you will provide technical leadership to shape the Data Analytics Solutions utilized by our customers and drive the success of the development team. You will lead a team to ensure seamless experience for our clients by coordinating with development and product teams, organizing team meetings, maintaining team accountability and providing technical coaching on data products. You are a great fit if you are a driven multitasker, detail-oriented, active listener, and enjoy team focused leadership.

ESSENTIAL DUTIES AND RESPONSIBILITIES

Leadership & Communication

Lead and inspire Data product teams that are responsible for the end-to-end product development lifecycle (PDLC). This includes strategy, architecture, delivery, and maintenance.
Reinforce a strong product culture by balancing the needs of product management, design, engineering, and architecture to optimize the PDLC, and learning by experimentation.
Partner with peer groups for coordinated delivery on cross-product, cross-team efforts
Identify and remove bottlenecks and team impediments.
Interact with internal and/or external leaders, including senior management.
Foster a culture of data-driven decision making, by working with stakeholders and product managers to refine product strategy feature effectiveness based on performance metrics.

Delivery and Execution

Partner with product management to establish and manage expectations around milestones and schedule, owning issues, risks, and mitigation plans.
Work with team to de-risk objectives, estimate and size work, establishes and maintains a burn up against milestones to hit high integrity commitments.
Optimizes production system operations using tools such as monitoring, capacity analysis and root cause analysis to identify and drive change that ensures continuous improvement in system stability, security, and performance.
Ensure Agile discipline around releasing “thin slices” based on rigorous prioritization as understood through discovery, owning phased roll out and validation plans.
Establish engineering best practices (i.e TDD, paired programming, clean code, etc) for teams, provides coaching, drive continuous improvement, and ensures that teams are delivering high-quality solutions.

Architecture & Development

Provide architecture direction and guidance to the team as solutions are designed
Perform and complete complex engineering tasks in tandem with the team
Model code standards, testing standards and engineering processes for the team as its leader and fellow engineer

KNOWLEDGE & REQUIREMENTS

REQUIRED QUALIFICATIONS

Experience designing, implementing and managing Data Warehouse systems.
Experience designing systems and solutions in AWS with technologies such as Amazon Redshift, Amazon Glue, Apache PySpark, and Apache Kafka or related technologies (GCP, Azure, PostgreSQL, MySQL)
Strong experience with Data Engineering, Modeling and Data Management technologies.

DESIRABLE QUALIFICATIONS

Experience working with healthcare technology.
Experience working with PHI data and HIPAA standards.
Experience working as a Technical Product Owner

EDUCATION & EXPERIENCE REQUIREMENTS

Minimum years of work experience: 8 years
6+ years of Data Warehouse and Data Engineering experience required
2+ tears of experience as a tech lead
Expert-level in Data Warehouse and pipelines technologies (Redshift, Glue, Apache Kafka etc) or related technologies (PostgreSQL, MySQL, etc.)
Demonstrated ability to understand business processes, set product direction and oversee successful PDLC.
Minimum level of education or education/experience: Bachelors Degree
Bachelor’s degree in Business, Computer Science, Information Systems or equivalent combination of education and experience.