Data Engineer

Hi, we’re Gravie. Our mission is to improve the way people purchase and access healthcare through innovative, consumer-centric health benefit solutions that people can actually use. Our industry-changing products and services are developed and delivered by a diverse group of unique people. We encourage you to be your authentic self - we like you that way.   If you’re dreaming about how you can use an awesome tech stack to disrupt an industry... Gravie could be the place for you. AWS native since we started, we’re using functional programming with autonomous, cross-functional teams to rapidly build and evolve our systems.  Gravie is at that sweet spot, checking the boxes for both excellent technology and making a huge splash in the insurance industry.   What does it take to thrive as a Data Engineer at Gravie? You need to have both deep and broad data engineering skills, be innovative, creative, responsible, and curious while moving quickly to deliver results for our customers. Data team builds the data infrastructure and platform for reporting, analytics, and data science. The Data team is part of the engineering organization and uses engineering fundamentals to build solutions that deliver excellent value for the Gravie business teams. You are likely to be self-driven, enjoy working in a fast-paced entrepreneurial environment, and want to get a great understanding of modern data engineering stack and implement them with a long-term vision to create a data driven organization.      You will: ·       Create and maintain optimal data pipeline architecture from various sources to Gravie’s reporting and analytics database.  ·       Architect, build, and launch efficient & reliable data models and pipelines that meet business requirements and IT standards. ·       Build the modern data infrastructure for Gravie’s data warehouse by optimal extraction, transformation (dbt), and loading of data from a wide variety of data sources using SQL and AWS technologies (Redshift, Glue, Lamda). ·       Act as a data architect to understand various source applications and how to integrate them with other source applications. ·       Identify, design, and implement internal process improvements such as automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability. ·       Passionate about data, data quality, and creating accurate and performant data solutions that are easy to consume. ·       Excel at collaborating with end users to deeply understand questions they’re trying to answer and coming up with user friendly data models that provide actionable insights into operational efficiency, growth, underwriting and other key business performance KPIs. ·       Demonstrate commitment to our core competencies of being authentic, curious, creative, empathetic and outcome oriented.   You bring: ·       Bachelor’s Degree or equivalent ? ·       2+ years of experience building and optimizing data pipelines, architectures and data sets using modern technologies such as AWS, dbt, Glue Airflow. ·       3+ years of hands on work on building data warehouses with Kimbell methodology ·       2+ years of  data pipelines and orchestrating performant data models on cloud warehouse such as Redshift (preferably using dbt and data orchestration tools like Airflow) ·       Experience supporting data transformation, data structures, metadata, dependency and workflow management. ·       Evaluate emerging tech in the rapidly evolving field of data tooling and practices, and regularly make recommendations on opportunities to advance our capabilities.   ·       Analyze query performance and perform query tuning to assist development engineers in designing and optimizing queries. ·       Experience using the command line and software engineering best practices like version control and using Git ·       Overall 5+ years of experience in a Data Engineer role, who has attained an undergraduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. ·       History of managing complex processes and multi-layered projects ·       Excellent communication skills ·       Demonstrated success getting results through collaboration   Extra credit: ·       Knowledge of Health Insurance Industry ·       Knowledge of AWS Infrastructure and AWS services like Redshift, Glue, Lambda and Athena ·       Experience creating reports and dashboards using data visualization or BI tools (Looker, Tableau, Power BI) ·       Hands on experience with Airflow implementation ·       Working knowledge of message queuing, stream processing, and highly scalable data stores. ·       Experience with Tableau ·       Previous start up company experience     Competitive pay is standard. Our unique benefits program is the gravy, i.e., the special sauce that sets our compensation package apart. In addition to standard benefits, Gravie’s package includes alternative medicine coverage, flexible PTO, 16 weeks paid parental leave, paid holidays, cell phone reimbursement, education reimbursement, and 1 week of paid paw-ternity leave just to name a few.   Where permitted by applicable law, candidates must be fully vaccinated or be willing to be fully vaccinated for COVID-19 by date of hire to be considered for a job at Gravie.

Salary and compensation

No salary data published by company so we estimated salary based on similar jobs related to Engineer and Engineer jobs that are similar:

$70,000 — $120,000/year

Location

Remote