Haystack
← Back to Jobs
Remote
Technology
SS

Data Engineer - Healthcare Domain

SSTech LLCUnited States🇺🇸United StatesPosted 9 Sept 2026

Why This Role Stands Out

This remote Data Engineer role offers significant growth potential within the healthcare domain, allowing you to build and optimize robust data pipelines in a cutting-edge Databricks environment. You'll thrive here if you have a knack for data architecture, governance, and performance optimization, making a real impact on data quality and accessibility. Apply now to leverage your skills and contribute to innovative data solutions!

Quick Overview

Seniority
Mid Senior
Work mode
Remote
Location
United States
Posted
22 hours ago
AWSETLData PipelineDatabricksJiraPython

Job Description

Hi,

We do have an urgent requirement for the below position with our direct client, Please submit Resume, Rate and Contact details.

Job Title: Data Engineer
Location: Remote, USA
Duration: Short Term

Position Summary

The Data Engineer will be responsible for designing, developing, and maintaining data pipelines, ensuring

Key Responsibilities

Data Pipeline Development
  • Design and develop ETL/ELT data pipelines
  • Ensure data pipelines are scalable, reliable, and efficient, meeting the needs of the organization.
Data Management
  • Implement and manage the data architecture, including Landing Zone, Bronze, Silver, and Gold layers within the Databricks environment.
  • Develop processes for data cleaning, normalization, and enrichment to maintain high data quality standards.
Data Governance
  • Integrate core data management with existing systems to ensure seamless data flow and consistency across platforms.
  • Develop a comprehensive tagging system for core data, ensuring that all data assets are tagged appropriately for easy retrieval and association.
Performance Optimization
  • Monitor and optimize the performance of data pipelines and processing workflows.
  • Ensure data architecture supports different stages of the data lifecycle, from development to production, with appropriate access controls.
  • Work closely with data scientists, data stewards, and other stakeholders to understand their data requirements and support their analytical needs.
  • Provide technical support and guidance to other team members and departments as needed.
Experience
  • Proven experience as a Data Engineer or in a similar role, with previous experience in the pharmaceutical industry being highly regarded.
  • Hands-on experience with AWS, scripting and ETL pipelines
  • Strong proficiency in programming languages such as Python
  • Jira exp
Skills and Competencies
  • Strong analytical and problem-solving skills.
  • Excellent understanding of ETL/ELT processes and data pipeline development.
  • Knowledge of metadata management and data quality processes.
  • Proficiency in data modeling, data warehousing, and big data processing frameworks.
  • Excellent communication and collaboration skills.
  • Ability to learn new technologies quickly and develop new skills as needed.
  • Capable of identifying the best approach forward for various data engineering challenges.
  • Ability to work in a fast-paced, dynamic environment and manage multiple priorities.
 

Similar jobs

Browse related jobs

Apply now