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Data Engineering Team Lead

MacroHealth

United States

Remote

USD 140,000 - 355,000

Full time

Yesterday
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Job summary

MacroHealth is seeking a Data Engineering Team Lead to guide their Data Foundation team in utilizing advanced data technologies to develop innovative solutions in healthcare. This remote position requires a seasoned leader with a strong background in data architecture and team management skills, focused on building scalable applications while fostering a collaborative team environment.

Benefits

Medical insurance
Vision insurance
401(k)
Paid maternity leave
Paid paternity leave

Qualifications

  • 7+ years professional experience as a software developer or data engineer.
  • 1+ years formal leadership experience in a Team Lead capacity.
  • Experience with modern big data technologies.

Responsibilities

  • Lead technical discussions and architecture planning sessions.
  • Design and implement high quality data infrastructure.
  • Mentor and support team members in their technical growth.

Skills

Python
Data Engineering Frameworks
Data Architecture
Distributed Systems
Data Modeling

Education

Bachelor’s degree in Computer Science

Tools

Databricks
Spark
Airflow
Kafka
Hadoop
Hive

Job description

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Join to apply for the Data Engineering Team Lead role at MacroHealth

MacroHealth’s Data Foundation team is growing and looking for a Data Engineering Team Lead to join. The team uses Azure Databricks, and modern distributed/big data technologies (e.g. Hadoop, Hive, Kafka) to create data-driven value-add SaaS and Analytics solutions. The Data Foundation builds and applies intelligence models to create scalable applications and open API-based ecosystems.

The candidate will be spending 70% of their time designing and implementing high quality, innovative and state of the art Data Infrastructure that complies with various compliance and follows industry best practice; and 30% time leading and mentoring other team members in designing and developing features. The candidate will contribute to teamwork and the development of a positive work culture.

Key Accountabilities:

Technical Leadership and Best Practices

  • Lead technical discussions, code reviews, and architecture planning sessions.
  • Evaluate, select, and advocate for the right tools and technologies to support the data platform and ensure scalability and maintainability.
  • Support data privacy and compliance efforts (e.g., HIPAA, SOC 2) by embedding governance into data workflows.
  • Set standards for data quality, testing, version control, and deployment across all stages of the data lifecycle.
  • Drive a culture of operational excellence through documentation, automation, and proactive monitoring.

Team Leadership and People Management

  • Lead, coach, and support a team of Data Engineers; providing regular feedback, and career development to support continuous learning.
  • Establish clear ownership and ensure accountability for team deliverables and commitments.
  • Facilitate team meetings, drive sprint planning, and support agile delivery.

Hands-on Engineering

  • Actively contribute to the design, development, and maintenance of scalable, production-grade data pipelines using modern technologies (e.g., Databricks, Airflow, Spark, Kafka).
  • Lead the implementation of data platform components, including ingestion frameworks, transformation layers, orchestration systems, and observability tooling.
  • Automate workflows to reduce manual overhead and increase developer productivity (e.g., data validation frameworks, schema enforcement, test automation).
  • Partner closely with product managers, data analysts, data engineers, and business stakeholders to understand data needs, pain points, and future use cases.

Knowledge, Skills and Abilities:

  • Deep understanding of data architecture, pipelines, and distributed systems.
  • Proficient in Python, and data engineering frameworks (e.g., Databricks, Spark, Airflow).
  • Strong command of data modeling concepts (e.g., star/snowflake schemas, normalized/denormalized structures, dimensional modeling).
  • Experience implementing and operationalizing data governance policies (e.g., data lineage, access control, data contracts).
  • Familiarity with data cataloging and metadata management tools.
  • Ability to establish and maintain standards for data quality, discoverability, and consistency.
  • Proven ability to lead and mentor engineers; support their technical growth and performance.

Required Education and Experience:

  • Bachelor’s degree in Computer Science or related field, or equivalent work experience.
  • 7+ years of professional experience as a software developer or data engineer, ideally within the healthcare industry.
  • 1+ years of formal leadership experience or serving in a Team Lead capacity to include leading code and design reviews, mentoring engineers, and helping craft and deliver performance reviews.
  • Experience with modern big data technologies such as Databricks, Hadoop, Hive, Kafka etc.
  • A solid foundation in object-oriented languages.
  • Experience designing and building solutions within a cloud-based microservice architecture.

Location: Remote anywhere within the US (Must be located in the US)

Core Competencies:

One Team:

Act as one team with fellow MacroMates and customers

Value humility, low ego, and collaboration

Maintain an All for One, One for All attitude

Do the right thing

Do what you say you will do

Work with a sense of urgency and transparency

Macro Thinking:

Challenge yourself and others to think boldly, bigger, and into the future

Lead with a Growth Mindset

Act as a thought leader for the healthcare industry

MacroHealth is an equal opportunity employer.

***We are not accepting resumes from third-party staffing agencies, recruiting firms, or Corp-to-Corp (C2C) providers for this position. All candidates must apply directly through MacroHealth. Any resumes submitted through third-party providers will not be considered for review.***

Seniority level
  • Seniority level
    Mid-Senior level
Employment type
  • Employment type
    Full-time
Job function
  • Job function
    Information Technology
  • Industries
    Software Development

Referrals increase your chances of interviewing at MacroHealth by 2x

Inferred from the description for this job

Medical insurance

Vision insurance

401(k)

Paid maternity leave

Paid paternity leave

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