Senior Data Engineering Manager

Hispanic Alliance for Career Enhancement; Arkansas; Hybrid; USD 130,000 - 261,000; Full time

Job summary

A leading health solutions company is seeking a Senior Data Engineering Manager to lead a team of data engineers, driving technical strategy and ensuring operational excellence. This role requires extensive experience in data engineering, team management, and familiarity with modern data technologies. The position offers a competitive salary range of $130,295.00 - $260,590.00, along with comprehensive benefits.

Benefits

Affordable medical plan options

401(k) plan

Employee stock purchase plan

Qualifications

• 7+ years of experience in data engineering, with 5+ years in a technical leadership or management role.
• Proven experience building and leading high-performing data engineering teams.
• Excellent communication, interpersonal, and leadership skills.

Responsibilities

• Lead, mentor, and grow a team of talented data engineers.
• Own the technical vision and roadmap for our data platform.
• Partner with product managers and analysts to understand data needs.

Skills

Cloud platforms (AWS, Azure, or GCP)

Big data frameworks (e.g., Apache Spark, Hadoop)

Data warehousing solutions (e.g., Snowflake, Redshift, BigQuery)

Workflow orchestration tools (e.g., Airflow, Dagster)

SQL

Python

PySpark

Real-time data streaming technologies (e.g., Kafka)

Education

Bachelor's or master's degree in Computer Science, Data Science, or a related field

Job description

At CVS Health, we're building a world of health around every consumer and surrounding ourselves with dedicated colleagues who are passionate about transforming health care.

As the nation's leading health solutions company, we reach millions of Americans through our local presence, digital channels and more than 300,000 purpose-driven colleagues - caring for people where, when and how they choose in a way that is uniquely more connected, more convenient and more compassionate. And we do it all with heart, each and every day.

Position Summary

We are seeking a highly skilled and experienced Senior Data Engineering Manager to lead and mentor our data engineering team of 6-8 data engineers. This role is crucial for scaling our data platform, establishing best practices, and ensuring we can deliver on the data needs of our business. You will be a hands-on leader, combining deep technical expertise with strong people management skills to drive our data strategy forward.

The position is open in a data engineering team that is responsible for processing Claims, Revenue, and Medicare Specific files and data from 30+ payors into our Data Warehouse.

Responsibilities:

• Team Leadership & Management:
  • Lead, mentor, and grow a team of talented data engineers, fostering a culture of technical excellence, collaboration, and continuous learning.
  • Manage the hiring, training, and professional development of team members.
  • Conduct performance reviews, provide regular feedback, and guide career paths.
• Technical Strategy & Execution:
  • Own the technical vision and roadmap for our data platform, ensuring it aligns with business objectives and scales with company growth.
  • Lead the design, development, and maintenance of robust, scalable, and reliable data pipelines and data warehouses.
  • Drive best practices in data modeling, ETL/ELT processes, and data governance.
  • Oversee the implementation of new data technologies and architectures.
• Cross-Functional Collaboration:
  • Partner with product managers, data scientists, analysts, and other engineering teams to understand data needs and deliver effective solutions.
  • Translate complex business requirements into clear, actionable technical plans.
  • Communicate technical concepts and project progress to both technical and non-technical stakeholders.
• Operational Excellence:
  • Ensure the data platform meets our standards for performance, security, and data quality.
  • Establish and maintain a culture of operational excellence, including monitoring, alerting, and incident response.
  • Manage and optimize data infrastructure costs.

Required Qualifications

• A bachelor's or master's degree in Computer Science, Data Science, or a related field.
• 7+ years of experience in data engineering, with 5+ years in a technical leadership or management role.
• Proven experience building and leading high-performing data engineering teams.
• Deep expertise with modern data technologies, including:
  • Cloud platforms (AWS, Azure, or GCP).
  • Big data frameworks (e.g., Apache Spark, Hadoop).
  • Data warehousing solutions (e.g., Snowflake, Redshift, BigQuery).
  • Workflow orchestration tools (e.g., Airflow, Dagster).
• Solid experience with SQL, Python, PySpark.
• Excellent communication, interpersonal, and leadership skills.
• A strategic mindset with the ability to balance long-term vision with immediate business needs.
• Experience with real-time data streaming technologies (e.g., Kafka).

Preferred Qualifications

• Familiarity with healthcare data and healthcare insurance feeds.
• Familiarity with Data Analytics and reporting.
• Familiarity with ML/AI.

The typical pay range for this role is $130,295.00 - $260,590.00. Our people fuel our future, and we are committed to fostering a workplace where every colleague feels valued and that they belong.

We take pride in our comprehensive and competitive mix of pay and benefits, investing in the physical, emotional and financial wellness of our colleagues and their families. Our benefits include affordable medical plan options, a 401(k) plan, and an employee stock purchase plan.

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.