Data Analytics Engineer II

Garner Health; New York (NY); Hybrid; USD 130,000 - 150,000; Full time

Job summary

An innovative firm is seeking a Data Analytics Engineer II who is passionate about transforming the healthcare economy. In this hybrid role, you'll build and optimize data pipelines, ensuring data quality and privacy while collaborating with a fast-paced team. Ideal candidates will have experience with modern data stacks, SQL, and Python, and will thrive in a mission-driven environment. Join a company that values ownership and offers the chance to make a real impact on healthcare delivery. If you're eager to learn and mentor others while tackling exciting challenges, this opportunity is perfect for you.

Benefits

Equity Incentive

Competitive Benefits Plans

Qualifications

• 2+ years of experience in software/data engineering with a focus on data pipelines.
• Expertise in SQL and familiarity with Python for data processing.

Responsibilities

• Build and maintain data pipelines that support business operations.
• Design reusable datasets for Business Intelligence and Data Science.

Skills

SQL

Python

Data Engineering

Data Governance

Data Quality

Data Privacy

Big Data

Distributed Event-Driven Architectures

Mentoring

Education

Bachelor's Degree in Computer Science or related field

Tools

AWS

PostgreSQL

Snowflake

Argo

Job description

Garner's mission is to transform the healthcare economy, delivering high quality and affordable care for all. By helping employers restructure their healthcare benefit to provide clear incentives and data-driven insights, we direct employees to higher quality and lower cost healthcare providers. The result is that patients get better health outcomes while doctors are rewarded for practicing well, not performing more procedures. We are backed by top-tier venture capital firms, are growing rapidly and looking to expand our team.

We are looking for a Data Analytics Engineer II with a high sense of ownership who is excited about our mission, eager to learn and teach others, and can deliver across the tech stack. The ideal candidate should have experience with a modern data stack and implementations of data pipelines using Python in AWS.

This is a hybrid role and will require 3 days most weeks in Garner’s New York City office.

Responsibilities will include:

• Build, optimize, and maintain data pipelines that power our business
• Define and build out abstracted reusable data sets to be used for Business Intelligence, Marketing, and Data Science Research
• Design, build, and evangelize a federated data validation framework to be used to monitor potential data inconsistencies
• Protect our users’ privacy and security through best practices

Ideal Qualifications:

• 2+ years of software/data engineering experience (distributed data processing, data warehousing, data governance, Big Data, data variance, data privacy, and data quality).
• Expertise in SQL, familiarity with Python
• Expertise in building scalable data pipelines, query optimization, PostgreSQL tuning (nice to have), data modeling, and defining reusable datasets
• Experience working with orchestration tools (especially Argo), databases (especially PostgreSQL), data warehouses (especially Snowflake)
• Familiarity with distributed event-driven architectures. NATS experience is a plus.
• Familiarity with healthcare or insurance
• Able to learn quickly and mentor others

Why You Should Join Our Team:

• You are mission-driven, have a high sense of ownership, and want to work at a company that can change the healthcare system
• You want to be on a small, fast-paced team that nimbly moves to meet new challenges
• You are not afraid of challenges and love to learn
• You design and optimize for the long term while moving fast and iteratively delivering for the short term
• You love ideating on new features and working with data to find new insights
• You’re excited about researching and working with the latest tools and technologies

The target salary range for this position is $130,000 to $150,000 annually. Individual compensation for this role will depend on a variety of factors including qualifications, skills and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans.