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Evermore

Rare breed talent and consulting specialists, with a heart for delivery.

Staff Data Engineer

Data EngineerData EngineerFull TimeRemoteLeadTeam 1-10Since 2014Company SiteLinkedIn

Location

United States

Posted

1 day ago

Salary

$219.6K - $235.7K / year

Seniority

Lead

Bachelor DegreeEnglishAirflowCloudETLGoogle Cloud PlatformPythonSQL

Job Description

• Define and work within our data governance practices, including a catalog/dictionary and management of data quality, so that users understand and can trust what they are reporting about • Manage lights-out data operations of our ETL/ELT pipelines ranging from streaming inputs to batch file loads, to support customer reporting, development, and operations • Untangle, normalize, synthesize as needed to permit joining and comparisons from disparate sources, and further analysis including ML processing • Wrangle internal and external data into and through the reporting pipeline and schema • Design and run the security aspects of reporting – we manage healthcare and payments data; a safety mindset is at the foundation of everything we do • Handle reporting requests from stakeholders within and external to the business; over time, move from adhoc to systematic • Support data analysts and other internal consumers of the data • Support and enable ML/AI workloads

Job Requirements

  • A legacy of happy customers, rather than amount of data processed or the size of data footprint
  • A work history at startups; you collaborate deeply, are self-sufficient and you get a lot done
  • A history of applying software engineering best practices to data wrangling and pipeline creation
  • Cloud proficiency, ideally on GCP, especially as applied to compute/data architecture and security
  • Amazing SQL and Python skills, to be applied in ETL, front-end reporting
  • Experience with building and maturing an MLOps pipeline
  • Experience with, but not blind reliance on, workflow tools like Airflow and transformation tools like dbt
  • An ability, and a strategy, to manage data quality
  • Bachelor’s degree or similar experience strongly preferred

Benefits

  • Medical, Dental, and Vision insurance with 90% paid employer premium contributions for all tiers
  • 100% Employer Paid Short-Term & Long-Term Disability
  • 100% Employer Paid Basic Life Insurance Policy
  • Employee Assistance Program (EAP)
  • 401(k) Program
  • Discretionary PTO
  • Paid holidays
  • Parental Leave
  • Flexible work schedule within core hours
  • Work anywhere in the USA as we are a fully distributed team from coast to coast

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