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Data Analytics Engineer II

Garner Health

New York (NY)

On-site

USD 130,000 - 150,000

Full time

9 days ago

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Job summary

An innovative company is seeking a Data Analytics Engineer II who is passionate about transforming healthcare through data-driven insights. This role involves building and optimizing data pipelines, ensuring data quality, and collaborating with a dynamic team. The ideal candidate will have experience in data engineering, particularly with Python and AWS, and will thrive in a fast-paced environment. Join a mission-driven team that values ownership and continuous learning, and be part of a solution that enhances healthcare outcomes while maintaining user privacy and security. This is a unique opportunity to make a significant impact in the healthcare sector.

Benefits

Equity incentive
Competitive benefits plans

Qualifications

  • 2+ years of experience in software/data engineering.
  • Expertise in building scalable data pipelines and query optimization.
  • Familiarity with distributed event-driven architectures.

Responsibilities

  • Build, optimize, and maintain data pipelines that power our business.
  • Define and build reusable data sets for Business Intelligence and Data Science.
  • Design a federated data validation framework to monitor data inconsistencies.

Skills

SQL
Python
Data Engineering
Data Governance
Data Quality
Big Data

Education

Bachelor's Degree in Computer Science or related field

Tools

Postgres
Snowflake
AWS
Terraform
Argo
Airbyte
DBT
ElasticSearch
Looker

Job description

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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.

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

Our Tools:

Postgres, Snowflake, Python, AWS, Terraform, Argo, Airbyte, DBT, ElasticSearch, Looker

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
  • Authorized to work lawfully in the United States of America as Garner does not engage in immigration sponsorship at this time

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.

Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics.

Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at talent@getgarner.com.

Beware of job scam fraudsters! Our recruiters use getgarner.com email addresses exclusively. We do not post open roles on Indeed, conduct interviews via text, instant message, or Teams and we do not ask candidates to download software, purchase equipment through us, or to provide sensitive information such as bank account or social security numbers. If you have been contacted by someone claiming to be a Garner recruiter or hiring manager from a different domain about a job offer, please report it as potential job fraud to law enforcement here and to candidateprotection@getgarner.com

Seniority level
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    Entry level
Employment type
  • Employment type
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Job function
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    Information Technology
  • Industries
    Software Development

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