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Sr. Data Engineer
Eden Prairie, Minnesota  |  Remote, Onsite
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Applied on July 31, 2021
Job Id #48547 Posted June 23, 2021


Projects the candidate will be working on:

  • Involve in Data Integration(ETL and DQ) DevOps process to deliver 2021 Q3 & Q4 Roadmap capabilities(below) with high quality: ACC Inpatient/ Outpatient Data - E&I Specialty Benefits Claims and Interactions (Bridge2Health) UHC Digital Interactions Additional data to support Factbook A4Me Interactions for oxford PRIME migration for UNET data ACO value based reporting

Ideal Background:

  • Experience in Extract, Transform, and Load (ETL) development, storage engineering, data warehousing, data provisioning
  • Experience in Healthcare or Clinical data is preferred

Experience:

  • Azure/AWS Cloud experience in Azure Data warehouse, Azure Synapse, Hyperscale
  • Experience with scalability solutions and multi-region replication and failover solutions.
  • Experience with agile development methodology.
  • Experience in Healthcare/clinical data

Top Requirements:

  • 4+ yrs of Experience building data pipelines/ETL and familiarity with design principles.
  • 3-5 yrs Expert in Python, PostgreSQL, and PL/pgSQL development and administration of large databases with a focus on performance and production support on native cloud deployments.
  • 3-5 yrs Experience with data warehouse technologies (Azure Synapse, Spark, Hadoop, BigQuery, ElasticSearch, etc).

Top Responsibilities:

  • Build scalable and reliable data pipelines that provide accurate data feeds from internal and external systems.
  • Govern scalable & performant cloud-deployed production relational and non-relational databases.
  • Collaborate on architecture definitions, always thinking of solutions that are scalable and secure.
  • Drive data systems to be as near real-time as possible.
  • Design, document, automate and execute test plans to ensure the quality of the datasets.
  • Participate in the process of generating and analyzing features.

Skills/attributes Required

  • Experience building data pipelines/ETL and familiarity with design principles.
  • Expert in Python, PostgreSQL, and PL/pgSQL development and administration of large databases with a focus on performance and production support on native cloud deployments.
  • Experience with scalability solutions and multi-region replication and failover solutions.
  • Experience with data warehouse technologies (Azure Synapse, Spark, Hadoop, BigQuery, ElasticSearch, etc).
  • Bachelors degree (or its foreign degree equivalent) in Computer Science, Engineering, or a related technical discipline or equivalent experience.
  • Deep understanding of programming and experience with at least one programming language

Skills/attributes Preferred

  • 4+ years of working experience in relevant data field.
  • Experience with agile development methodology.
  • Experience delivering and owning analytical data systems in production.

Working Time:

  • 9am-5pm

Interview Process:

  • How many rounds?
    • 1 initial screening (45min) 1 technical interview (1hr) 1 culture fit interview (30min)

  • Video, phone, or in person?
    • Video (MS Teams)

  • How technical will the interviews be?
    • 1 technical interview (1hr) to evaluate candidate's technical abilities in Data Warehouse/Big Data, ETL process, Data Quality checks and Azure/AWS Cloud Technology

Horizontal is proud to be an Equal Opportunity and Affirmative Action Employer. We seek to provide employment opportunities to talented, qualified candidates regardless of race, color, sex/gender including gender identity and/or expression, national origin, religion, sexual orientation, disability, marital status, citizen status, veteran status, or any other protected classification under federal, state or local law.

In addition, Horizontal will provide reasonable accommodations for qualified individuals with disabilities. If you need to request a reasonable accommodation in order to complete the application or interview process, please contact hr@horizontal.com.

All applicants applying must be legally authorized to work in the country of employment.

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