Data Engineer

Overview

Good enough isn’t for us. Duly Health and Care’s team members show up every day driven to exceed expectations. We see and support the remarkable in every person within and beyond the walls of our work.

Duly Health and Care works to understand what matters most to you. We recruit and retain team members who share a relentless passion and pride for helping others live happier and healthier lives. We invest in helping our team members develop their talents in a way that is rich in personal meaning. We invite you to join us, fulfill your purpose and make your mark!

Holistic benefits designed to help our team members flourish in all aspects of their lives, including:

• Comprehensive medical and prescription drug benefits that include medical coverage at 100% (after deductible) when utilizing a Duly provider.
• $5,250 Tuition Reimbursement per year.
• 40 hours paid volunteer time off.
• A culture committed to Diversity, Equity, and Inclusion (DEI) and Social Impac
• t12 Weeks parental leave at 100% pay and a financial benefit for adoption and surrogacy for non-physician team members.
• 401(k) Match
• Profit-sharing program
  
  

Responsibilities

Are you ready to challenge the expected to deliver the extraordinary?

The Data Engineer is responsible for expanding and optimizing data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. Data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. The Data Engineer supports developers, architects, data analysts and data scientists on initiatives and will ensure optimal data delivery consistent throughout ongoing projects. They must be self-directed and comfortable supporting the data needs of multiple teams, systems and products.

Major Responsibilities

• Create and maintain data pipeline.
• Assemble data sets that meet functional / non-functional business requirements.
• Implement internal process improvements: automating manual processes, optimizing data delivery.
• Build extraction, transformation, and loading of data from a wide variety of data sources.
• Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
• Keep data separated and secure across national boundaries.
• Work with data and analytics experts to strive for greater functionality in our data systems.
  
  

Qualifications

The Experiences You Bring

• Working knowledge of SQL and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
• Strong analytic skills related to working with unstructured datasets.
• Build processes supporting data transformation, data structures, metadata, dependency and workload management.
• Experience supporting and working with cross-functional teams in a dynamic environment.