Staff Data Engineer
Press Ganey
full-time
Posted on:
Location Type: Hybrid
Location: Illinois, Massachusetts • 🇺🇸 United States
Visit company websiteSalary
💰 $110,000 - $170,000 per year
Job Level
Lead
Tech Stack
ApacheAzureCloudETLPythonScalaSparkSQL
About the role
- Design, build, and optimize data pipelines and workflows in Azure and Databricks, including Data Lake and SQL Database integrations.
- Implement scalable ETL/ELT frameworks using Azure Data Factory, Databricks, and Spark.
- Optimize data structures and queries for performance, reliability, and cost efficiency.
- Drive data quality and governance initiatives, including metadata management and validation frameworks.
- Collaborate with cross-functional teams to define and implement data models aligned with business and analytical requirements.
- Maintain clear documentation and enforce engineering best practices for reproducibility and maintainability.
- Ensure adherence to security, compliance, and data privacy standards.
- Mentor junior engineers and contribute to establishing engineering best practices.
- Support CI/CD pipeline development for data workflows using GitLab or Azure DevOps.
- Partner with data consumers to publish curated datasets into reporting tools such as Power BI.
- Stay current with advancements in Azure, Databricks, Delta Lake, and data architecture trends.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Data Science, or related field
- 7+ years of experience in data engineering, with significant hands-on work in cloud-based data platforms (Azure)
- Advanced proficiency in Azure 5+ years (Data Lake, ADF, SQL)
- Strong expertise in Databricks (5+ years), Apache Spark (5+ years), and Delta Lake (5+ years)
- Proficient in SQL (10+ years) and Python (5+ years); familiarity with Scala is a plus
- Strong understanding of data modeling, data governance, and metadata management.
- Knowledge of source control (Git), CI/CD, and modern DevOps practices.
- Familiarity with Power BI visualization tool.
Benefits
- Competitive benefits package
- Discretionary bonus or commission tied to achieved results
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data engineeringETLELTdata modelingdata governancemetadata managementSQLPythonApache SparkDatabricks
Soft skills
collaborationmentoringdocumentationcommunicationproblem-solving