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Data Engineer

San Francisco

SpringCube

Full-time - Senior Engineer

Healthcare, Biotech, Pharma & Life Sciences

Posted 2 weeks ago

$130,000 - $160,000

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Job Description

This job was selected by the SpringCube team to help AI, Data and Cloud Engineers discover relevant San Francisco Bay Area employers. Sign up to view the full employer details and apply directly with the hiring company.

Company Overview

A leading organization in the healthcare and medical services sector is seeking experienced data and information management professionals to support enterprise information analytics, data governance, reporting, and business intelligence initiatives. The organization works across business, technical, and operational teams to develop reliable data solutions that support informed decision-making and continuous improvement.

Key Responsibilities

  • Collaborate with business and technical stakeholders to understand data, reporting, and analytics requirements.
  • Design, develop, and deliver efficient, standards-based analytics solutions supporting operational and strategic decision-making.
  • Translate data into actionable insights and recommendations that support business operations and organizational objectives.
  • Develop and maintain dashboards, reports, and visualizations that monitor key business metrics.
  • Participate in the design and implementation of analytics solutions, including data acquisition, business rules processing, data aggregation, and reporting methodologies.
  • Support the development and maintenance of data pipelines, ETL workflows, and data integration processes using technologies such as SQL, SSIS, DataStage, GitHub, Databricks, Azure Data Factory, or similar platforms.
  • Analyze, design, develop, test, document, and support data warehouse and analytics solutions.
  • Collaborate with data modelers, architects, and integration teams on data architecture initiatives and end-to-end data delivery solutions.
  • Utilize SQL and related technologies to extract, transform, validate, and optimize data for reporting and analytics.
  • Work with Epic and other enterprise systems to extract, analyze, validate, and interpret healthcare data.
  • Analyze complex datasets, identify trends, develop visualizations, and communicate findings clearly to stakeholders.
  • Ensure data integrity and accuracy by identifying anomalies, troubleshooting issues, and supporting continuous data quality improvement.
  • Provide technical expertise in data storage structures, data extraction, transformation, cleansing, and reporting methodologies.
  • Support analytics and business intelligence technologies while helping educate staff and customers on data, reporting, and analytics capabilities.
  • Assist with troubleshooting complex technical issues and collaborate with senior staff to resolve escalated problems.
  • Participate in data governance activities and support enterprise data standards, definitions, and stewardship practices.
  • Identify opportunities to improve reporting processes, data quality, reporting performance, and user adoption.
  • Support the development and maintenance of metadata, business definitions, technical documentation, and data dictionaries.

Required Qualifications

  • Experienced background in data and information management with a strong understanding of industry practices and organizational methodologies, policies, and procedures.
  • Ability to analyze complex and wide-ranging data issues and evaluate multiple factors to develop effective solutions.
  • Strong SQL skills for data extraction, transformation, validation, and optimization.
  • Experience with data pipelines, ETL workflows, and data integration processes.
  • Experience with data warehouse and analytics solutions.
  • Familiarity with technologies such as SSIS, DataStage, GitHub, Databricks, and Azure Data Factory.
  • Experience developing reports, dashboards, and data visualizations.
  • Understanding of data governance, data quality, metadata, data definitions, and stewardship practices.
  • Experience working with data architecture, data modeling, and enterprise data integration.
  • Ability to analyze and interpret complex datasets and communicate findings effectively.
  • Strong troubleshooting and problem-solving skills.
  • Ability to collaborate effectively with business stakeholders, technical teams, data owners, analysts, and end users.
  • Experience working with healthcare data and enterprise healthcare systems, including Epic, is beneficial.
  • Strong written and verbal communication skills.
  • Ability to contribute effectively within cross-functional teams and project environments.

Disclaimer

SpringCube curates tech job listings from various company websites to support tech professionals globally.

1.No Endorsement: Job ads on SpringCube do not imply endorsement of their authenticity or quality.

2.No Client Relationship: This company is not a client of SpringCube unless stated.

3.To Apply: Click the “Apply” button to be redirected to the hiring company’s application page for this job.

4.No Liability: SpringCube is not liable for inaccuracies.

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