Senior Data Engineer

Brooksource

Santa Clara (CA)

On-site

USD 104,000 - 146,000

Full time

14 days+

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Benefits offered by this job

Vision insurance
Medical insurance

Job summary

A leading company in medical equipment manufacturing is seeking a Data Engineer to design and maintain data pipelines for clinical analytics. The role involves collaborating with data scientists and ensuring data integrity. Ideal candidates will have strong SQL and Python skills, along with experience in healthcare data environments.

Qualifications

  • Experience in a clinical or healthcare environment.
  • Proficient in ETL/ELT tools and data visualization.

Responsibilities

  • Design and maintain scalable data pipelines using SQL and Python.
  • Collaborate with stakeholders to meet data requirements.
  • Implement data validation and quality checks.

Skills

SQL
Python
Data Quality

Education

Data Engineering experience

Tools

Snowflake
Azure Data Factory
Fivetran
Power BI

Job description

This range is provided by Brooksource. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$50.00/hr - $70.00/hr

6 Month Contract

We’re seeking a Data Engineer with strong SQL and Python skills to build and maintain data pipelines supporting clinical enrollment analytics. You’ll work closely with data scientists and analysts to ensure clean, scalable, and reliable data systems.

Day to Day Responsibilities

  • Design, build, and maintain scalable ETL/ELT data pipelines using tools like Fivetran, Azure Data Factory, SQL, and Python to integrate data from multiple sources into Snowflake.
  • Develop and optimize complex SQL queries and data transformation logic to prepare data for analytics and visualization in Power BI.
  • Implement data validation, quality checks, and monitoring processes to ensure data accuracy, integrity, and reliability across pipelines.
  • Collaborate with business stakeholders, data analysts, and data scientists to understand data requirements and translate them into technical solutions.
  • Document data lineage, metadata, and pipeline processes to support transparency and governance.
  • Optimize data storage and retrieval performance by applying best practices such as indexing, partitioning, and caching.
  • Troubleshoot and resolve data pipeline failures, anomalies, and data quality issues promptly.
  • Enforce data security, privacy, and compliance standards within data engineering workflows.
  • Share knowledge and best practices with the team to improve overall data engineering capabilities.
  • Support continuous improvement initiatives by evaluating and adopting new tools, technologies, and methodologies.

Requirements

  • Previous Data Engineering experience within a clinical or healthcare environment.
  • Strong proficiency in SQL for complex querying, data modeling, and performance tuning.
  • Expertise in Python programming for data pipeline development and automation.
  • Hands-on experience with Snowflake or similar cloud based data warehouses.
  • Proficient in ETL/ELT tools such as Azure Data Factory, Fivetran, or equivalent.
  • Experience building and maintaining scalable, production-grade data pipelines integrating multiple enterprise systems (e.g., ERP, CRM, planning tools).
  • Familiarity with data visualization tools, especially Power BI, to support business reporting needs.
  • Knowledge of data quality frameworks and monitoring tools to ensure data integrity.
  • Understanding of data security practices, governance policies, and regulatory compliance (e.g., HIPAA, GDPR).
Seniority level
  • Seniority level
    Mid-Senior level
Employment type
  • Employment type
    Contract
Job function
  • Job function
    Information Technology
  • Industries
    Medical Equipment Manufacturing

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Inferred from the description for this job

Vision insurance

Medical insurance

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