Remote Otter LogoRemoteOtter

Staff Data Engineer - Remote

Posted 2 days ago
Data Analysis
Full Time
USA
$116,584 - $172,000/year

Overview

The Staff Data Engineer will lead our Unified Data Platform backend enablement for Patient Experience using Azure and On Premises SQL Server extracting data from our source systems.

In Short

  • Analyze, design, architect, develop and test software systems.
  • Gather customer requirements and create high-level component level architecture.
  • Confer with organizational units to analyze current operational procedures.
  • Write detailed descriptions of user needs and program functions.
  • Review computer system capabilities and workflow limitations.
  • Serve as a key member in evolving enterprise data strategy.
  • Utilize various computer languages on Windows based platforms.
  • Work with analytical solutions and data modeling in relational databases.
  • Collaborate with teams to optimize and increase efficiency.
  • Commit to continuous learning and improvement.

Requirements

  • Master’s degree in Computer Science or related field.
  • 4 years’ experience as Staff Data Engineer or similar role.
  • Experience with MS SQL Server, PostgreSQL, and Azure SQL DB.
  • Proficient in writing, tuning, and troubleshooting SQL queries.
  • Experience with Azure cloud services including SQL databases.
  • 1 year experience with Python and Spark SQL.
  • Ability to analyze and solve complex problems.
  • Strong communication and collaboration skills.
  • Commitment to diversity and inclusion in the workplace.
  • Willingness to adapt and learn new technologies.

Benefits

  • Competitive salary range from $116,584 to $172,000 per year.
  • Discretionary bonus or commission tied to results.
  • Comprehensive benefits package.
  • Opportunity to work with a diverse and inclusive team.
  • Hybrid working model with flexibility.
  • Continuous learning and professional development opportunities.
  • Work-life balance support.
  • Access to cutting-edge technology and tools.
  • Collaborative and innovative work environment.
  • Commitment to employee well-being and engagement.

P.G.A

Press Ganey Associates

Press Ganey Associates, now known as PG Forsta, is a leading provider of experience measurement, data analytics, and insights for complex industries, with a strong foundation in U.S. healthcare. The company partners with clients globally to enhance the Human Experiences central to their operations, leveraging technology, data, and expertise to identify opportunities, accelerate improvements, and foster customer and employee loyalty. With a commitment to a collaborative culture and continuous learning, Press Ganey empowers its employees to contribute meaningfully to client success. The organization values human experience, innovation, personal ownership, and teamwork, operating in a hybrid work model across several U.S. hub locations.

Share This Job!

Save This Job!

Similar Jobs:

Finquery logo

Staff Data Engineer - Remote

Finquery

2 weeks ago

Join Fi as a Staff Data Engineer and help build the data infrastructure for innovative dog-wearable technology.

Worldwide
Full-time
Software Development

Dragos

Staff Data Engineer - Remote

Dragos

2 weeks ago

Join Dragos as a Staff Data Engineer to develop data infrastructure and cloud-native solutions for cybersecurity in industrial environments.

USA
Full-time
Software Development
$192,000/year
Life360 logo

Staff Data Engineer - Remote

Life360

2 weeks ago

Join Life360 as a Staff Data Engineer to enhance and modernize their data platform infrastructure.

USA
Full-time
Software Development
$166,500 - $245,000 USD/year
Firstbase.io logo

Staff Data Engineer - Remote

Firstbase.io

3 weeks ago

Join Firstbase as a Staff Data Engineer, leading data architecture and pipeline development to support AI-driven decision-making.

Brazil
Full-time
Software Development
Imprint logo

Staff Data Engineer - Remote

Imprint

4 weeks ago

Join Imprint as a Staff Data Engineer to architect and scale their data platform for future growth.

USA
Full-time
Data Analysis