Data & Analytics Engineering Lead

RareMed Solutions; Coraopolis (Allegheny County); Hybrid; USD 120,000 - 180,000; Full time

Benefits offered by this job

Hybrid work structure

On-site when required

Job summary

RareMed Solutions is seeking a Data & Analytics Engineering Lead to design, build, and maintain scalable data pipelines and infrastructure. You will collaborate with pharmacists, stakeholders, and leadership to translate requirements into actionable data solutions using Azure services and Power BI.

The role emphasizes hands-on engineering, data governance, and mentorship of analysts and engineers. A hybrid work setup is offered with on-site presence in the Pittsburgh area as needed.

Qualifications

• Education: Bachelor’s or Master’s degree in Computer Science, Information Technology, or Data Analytics.
• Experience: Minimum of 5 years of experience in data engineering with a focus on Microsoft Azure and Power BI.
• Proficiency in data modeling, ETL processes, and data warehousing concepts.
• Proficiency in Azure Data Factory and Azure Synapse Analytics.
• Strong knowledge of SQL and database management systems.
• Knowledge of Power BI for reporting and dashboards.
• Knowledge of programming languages such as Python, Scala, or Java.
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration abilities.
• Ability to lead and mentor junior data analysts and engineers.
• Detail-oriented with a focus on data quality and accuracy.

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 data storage solutions, including data lakes and data warehouses, ensuring data is organized, accessible, and secure.
• Data Delivery: Create and deliver data files reliably and repeatably via pipelines and triggers.
• Data Visualization: Use Power BI to create and maintain reports and dashboards that provide actionable insights.
• Collaboration: Work with pharmacists, business stakeholders, and RareMed Solutions leadership to understand data requirements.
• Performance Optimization: Monitor and optimize data pipelines and storage solutions for efficiency.
• Data Governance: Implement and enforce data governance policies to ensure quality and compliance.
• Mentorship: Provide technical leadership and mentorship to junior data engineers.
• Innovation: Stay updated with latest industry trends in data engineering, Azure, and visualization tools.
• Other duties as assigned

Skills

Data modeling

ETL

Data warehousing

Azure Data Factory

Azure Synapse Analytics

SQL

Power BI

Python/Scala/Java

Problem solving

Communication

Mentoring

Education

Bachelor’s or Master’s degree in CS/IT/Data Analytics

Tools

Azure Data Factory

Azure Synapse Analytics

Power BI

Snowflake

SSIS

Tableau

Job description

Purpose:

The Data & Analytics Engineering Lead provides strategic and tactical support to RareMed Solutions and will report directly to the Director of Data Analytics. The Data & Analytics Engineering Lead works directly with RareMed 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 RareMed 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.

Purpose:

The Data & Analytics Engineering Lead provides strategic and tactical support to RareMed Solutions and will report directly to the Director of Data Analytics. The Data & Analytics Engineering Lead works directly with RareMed 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 RareMed 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 RareMed 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 analytical skills.
• Strong communication and collaboration abilities.
• Ability to lead and mentor junior data analysts and engineers.
• Detail-oriented with a focus on data quality and accuracy.

Preferred Qualifications:

• Experience with Snowflake a plus.
• Experience with SSIS and Tableau or PowerBI a plus.
• Certification in Microsoft Azure Data Engineering or related areas.
• Experience in the healthcare or pharmaceutical industry.

Work Environment

RareMed offers a hybrid work structure, combining remote work and in-office requirements. The frequency of onsite requirements will vary depending on role, operational needs, meetings, client visits, or team collaboration activities. Employees must be within commuting distance to Pittsburgh, PA, and able to report to the office when needed. We will provide advance notice when possible. This role routinely involves standard office equipment such as computers, phones, photocopiers, filing cabinets and fax machines. When telecommuting, employees must have reliable internet access to utilize required systems and software required for the position's responsibilities. The amount of time the employee is expected to work per day or pay period will not change while working from home. Employees are responsible for the set‑up of their home office environment, including physical set‑up, internet connection, phone line, electricity, lighting, comfortable temperature, furniture, etc. Employee’s teleworking space should be separate and distinct from their “home space” and allow for privacy.

Physical Demands

While performing the duties of this job, the employee is regularly required to talk or hear. The employee frequently is required to stand; walk; use hands and fingers, handle or feel; and reach with hands and arms. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential function of the job.