Senior Data Platform Engineer

Summary

Join Gravie, a company revolutionizing healthcare access, as a Senior Data Engineer. You will leverage a modern tech stack (AWS native) to build and operate core data infrastructure, create data pipelines, and develop data models. This role requires deep technical skills and cross-functional collaboration to deliver impactful data solutions. You'll work in a fast-paced, entrepreneurial environment, mentoring junior team members and collaborating with data vendors. The ideal candidate possesses extensive experience in data engineering, using technologies like AWS Redshift, dbt, and Glue. Location flexibility is offered, with a preference for the Minneapolis metro area or remote within the Central or Eastern time zones.

Requirements

• 4+ years of experience building, optimizing, testing, and orchestrating data integrations, pipelines, and cloud architectures using modern technologies such as AWS Redshift, dbt, Glue, Airflow
• 3+ years of hands-on experience building or enhancing data warehouses with a Kimbell methodology
• 6+ years of overall experience in a Data Engineer role, with an undergraduate degree in Computer Science, Statistics, Informatics, Information Systems, or another quantitative field
• Experience with data transformation, governance, data structures, metadata, dependency, and workflow management
• Interest in emerging tech within the field of data tooling and practices, and willingness to make recommendations on opportunities to advance our capabilities
• Comfortable using the command line, a Unix-based OS (we are 100% Mac+Linux at Gravie) and extensive experience with software engineering best practices, like version control using Git and IaaC (AWS CDK, Terraform)
• History of managing complex dependencies, processes, multi-layered projects, and estimations of scope and timeline
• Excellent communication skills and demonstrated success at driving results through influence and collaboration
• Must be eligible to work in the United States without sponsorship now and in the future and must be able to work a hybrid schedule out of our Minneapolis, MN, office

Responsibilities

• Create data pipelines and operate data infrastructure to ingest data from various sources into Gravie’s data estate
• Lead the creation of data models, architecture, and be hands-on with development and release of efficient & reliable pipelines that balance performance, cost, fit to business requirements, and security
• Operate and enhance Gravie’s AWS CDK-provisioned data infrastructure, to enable data ingestion from a variety of sources using SQL, Python, and core AWS data technologies (Redshift, Glue, EMR, Lambda)
• Act as a data architect to understand various source applications, data standards, and how to integrate them with other source applications
• Identify opportunities for internal process improvement such as automating manual processes or optimizing data delivery and infrastructure for greater scalability. Design a POC and implement a solution
• Passionate about data, data quality, access, and governance to create accurate high-performance performance data assets that are easy to consume
• Mentor junior team members, regularly lead code reviews and solution design workshops
• Excel at collaborating with data vendors and design creative solutions to potentially rigid constraints on source data
• Demonstrate commitment to our core competencies of being authentic, curious, creative, empathetic and outcome oriented

Preferred Qualifications

• Knowledge of Health Insurance Industry, ideally working with HIPAA Protected Health Information (PHI) and EDI-transmitted data
• Familiarity with data-adjacent AWS Infrastructure and services like EC2, IAM, ECS, Sagemaker
• Experience using and administering data visualization or BI tools (Looker, Tableau, Power BI)
• Working knowledge of message queuing, stream processing, and data lake architectures
• Previous venture-backed start-up company experience

Benefits

• Opportunities for career growth
• Meaningful mission-driven work
• Above average total rewards package
• Salary range for this position is $123,300 - $205,500 annually
• Stock options may also be awarded as part of the compensation package
• Standard health and wellness benefits
• Alternative medicine coverage
• Flexible PTO
• Up to 16 weeks paid parental leave
• Paid holidays
• A 401k program
• Cell phone reimbursement
• Transportation perks
• Education reimbursement
• 1 week of paid paw-ternity leave