Senior Data Engineer (Remote)


  Data Engineering


We are looking for a Senior Data Engineer to join a globally recognized Healthtech organization. The responsibilities of the position involve expanding and optimizing our data and data pipeline architecture, ensuring smooth data flow and collection for various teams. The primary focus is driving data initiatives and maintaining a consistent data delivery architecture across ongoing projects.

Technical Responsibilities:

  • Developing and maintaining efficient data pipelines and architecture.
  • Creating and managing large, intricate data sets that meet functional and non-functional business requirements.
  • Identifying, designing, and implementing internal process improvements, such as automating manual tasks, optimizing data delivery, and enhancing infrastructure scalability.
  • Establishing the necessary infrastructure for effective extraction, transformation, and loading of data from diverse sources.
  • Building data tools and providing valuable insights into healthcare data, operational efficiency, and key business performance metrics.
  • Assisting stakeholders at all levels with data-related technical issues and supporting their data infrastructure needs.
  • Developing data tools for internal team members to facilitate the construction and optimization of our product lines, making us an innovative industry leader.
  • Collaborating with subject matter experts to enhance the functionality of our data systems.
  • Analyzing internal and external data and processes to address specific business questions and identify opportunities for improvement.
  • Constructing processes that support data transformation, data structures, metadata, dependency, and workload management.
  • Working with minimal supervision, handling complex issues, and referring the most challenging problems to higher-level staff.
  • Mentoring department staff and collaborating with leadership to align with strategic goals.

Technical Skills:

  • Bachelor’s degree in Computer Science or a related field.
  • 5 years of experience in data engineering, including proficiency in programming languages, coding, software deployment, ETL design and implementation, database methodologies, SQL queries, business information management applications, data lakes, data warehouses, or related areas.
  • Specifically, experience in writing SQL queries, stored procedures, functions, and views within relational databases (T-SQL, PL/SQL).
  • Expertise in optimizing SQL queries for performance using tools such as execution plans, query analyzers, SQL Server Profiler, or similar utilities.
  • Familiarity with building ETL data pipelines using SQL Server Integration Services (SSIS) or similar ETL tools.
  • Excellent communication and collaboration skills, both within the team and with business stakeholders.
  • Preferred experience in the healthcare industry.
  • Knowledge of Cloud environments (such as Snowflake, Azure) would be beneficial.
  • Familiarity with Agile development methodologies.