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Data & Analytics Engineering Lead

Job in Coraopolis Heights, Allegheny County, Pennsylvania, USA
Listing for: RareMed Solutions
Full Time position
Listed on 2026-10-24
Job specializations:
  • IT/Tech
    Data Engineering, Data Analyst, Data Science Manager, Data Warehousing
Salary/Wage Range or Industry Benchmark: 120000 - 200000 USD Yearly USD 120000.00 200000.00 YEAR
Job Description & How to Apply Below

If you are unable to complete this application due to a disability, contact this employer to ask for an accommodation or an alternative application process.

Data & Analytics Engineering Lead

Technology/Analytics Full Time Coraopolis, PA, US

2 days ago Requisition

Purpose:

The Data & Analytics Engineering Lead provides strategic and tactical support to Rare Med Solutions and will report directly to the Director of Data Analytics. The Data & Analytics Engineering Lead works directly with Rare Med Solutions teams to determine reporting requirements, develop data pipelines, and distribute reports on to internal and external stakeholders. As the Data & Analytics Engineering Lead, you will be responsible for designing, developing, and maintaining our data infrastructure, ensuring the efficient and secure processing of large volumes of data, and providing actionable insights through data visualization.

You will serve as an organizational expert on data infrastructure by working closely with Rare Med Solutions leadership, determining the needs of the team, and providing knowledge and recommendations to support the data and analytics needs. This role is also responsible for identifying quality issues and implementing solutions to potential issues that may arise through data analysis and reporting. The Reporting & Analytics Lead will also be responsible for mentoring and coaching analysts, engineers, and other data team members.

In some cases, the Data & Analytics Engineering Lead will be responsible for delegating work based on organizational priorities.

Responsibilities:

  • Design and Development: Lead the design and development of scalable data pipelines using Azure Data Factory and Azure Synapse Analytics to support data integration, transformation, and loading processes.
  • Data Management: Oversee the management and optimization of data storage solutions, including data lakes and data warehouses, ensuring data is organized, accessible, and secure.
  • Data Delivery: Utilize data pipelines and triggers to create and deliver data files reliably and repeatably.
  • Data Visualization: Utilize Power BI to create and maintain reports and dashboards that provide actionable insights to stakeholders.
  • Collaboration: Work closely with pharmacists, business stakeholders, and Rare Med Solutions leadership to understand data requirements and deliver solutions that meet business needs.
  • Performance Optimization: Monitor and optimize the performance of data pipelines and storage solutions to ensure efficient data processing and retrieval.
  • Data Governance: Implement and enforce data governance policies and best practices to ensure data quality, consistency, and compliance with regulatory requirements.
  • Mentorship: Provide technical leadership and mentorship to junior data engineers, fostering a culture of continuous learning and improvement.
  • Innovation: Stay up-to-date with the latest industry trends and advancements in data engineering, Azure technologies, and data visualization tools, and apply this knowledge to drive innovation within the team.
  • Other duties as assigned

Required Qualifications:

  • Education
    :
    Bachelor’s or Master’s degree or equivalent experience in Computer Science, Information Technology, and Data Analytics.
  • Experience
    :
    Minimum of 5 years of experience in data engineering, with a focus on using Microsoft Azure services and Power BI.
  • Technical

    Skills:

  • Proficiency in data modeling, ETL processes, and data warehousing concepts.
  • Proficiency in Azure Data Factory and Azure Synapse Analytics.
  • Strong knowledge of SQL and experience with database management systems.
  • Knowledge of Power BI for creating reports and dashboards.
  • Knowledge of programming languages such as Python, Scala, or Java.
  • Soft Skills:
  • Excellent problem-solving and…
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