Lead Data Engineer

Franklin Fitch; United States; Remote; USD 150,000 - 210,000; Full time

Job summary

Franklin Fitch is seeking a Lead Data Engineer to take on a pivotal role in driving strategic direction across teams. This position demands a seasoned expert in biomedical informatics and data management to architect and maintain scalable data solutions while mentoring junior engineers. Embrace the opportunity for leadership in a dynamic IT environment, with competitive compensation reflective of your experience and skills.

Benefits

Medical insurance

Vision insurance

401(k)

Pension plan

Qualifications

• At least 7 years of relevant experience in data engineering.
• Expert proficiency in data engineering tools such as Python, SQL, and Spark.
• Strong knowledge of HIPAA and other healthcare compliance frameworks.

Responsibilities

• Design and maintain enterprise-level data infrastructures.
• Act as a senior data strategist and trusted advisor.
• Architect and maintain robust data systems and ETL processes.

Skills

biomedical informatics

metadata management

regulatory compliance

Python

Spark

SQL

Airflow

dbt

Education

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

Job description

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This range is provided by Franklin Fitch. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$150,000.00/yr - $210,000.00/yr

Direct message the job poster from Franklin Fitch

Director @ Franklin Fitch Recruitment | UK & USA | IT Infrastructure | 0203 696 4914

Location: Remote - But need to be based in one of the following states: Alabama, Arkansas, Florida, Georgia, Illinois, Louisiana, Michigan, New Hampshire, North Carolina, Ohio, Pennsylvania, South Carolina, Tennessee, Texas, Virginia and Wisconsin

Overview:

We are seeking a Lead Data Engineer to serve as a senior technical leader across cross-functional teams, driving strategic direction and delivering scalable data solutions in complex, dynamic environments. This pivotal role involves designing and maintaining enterprise-level data infrastructures, managing key client relationships, guiding governance processes, and promoting the adoption of emerging technologies.

Ideal candidates will have deep expertise in biomedical informatics, metadata management, and regulatory compliance (e.g., HIPAA), combined with a strong passion for mentoring and collaborative innovation.

Key Responsibilities:

Strategic Leadership & Governance

• Act as a senior data strategist and trusted advisor to internal stakeholders and external partners.
• Lead and govern partner prioritisation processes to ensure strategic alignment and transparency.
• Develop tactical strategies that scale across clients and business units.
• Evaluate and champion emerging technologies through proof-of-concepts and innovation pilots.
• Mentor junior engineers and analysts, particularly in areas of regulatory compliance and development standards.

Technical Execution & Infrastructure Design

• Architect and maintain robust data systems, pipelines, and ETL processes across heterogeneous sources.
• Build scalable reporting infrastructures tailored to diverse client needs.
• Define and maintain enterprise data standards and metadata across initiatives.
• Apply biomedical informatics methodologies to support both research and operational objectives.
• Develop and maintain architecture templates and documentation for informatics solutions.
• Serve as a senior technical expert within multidisciplinary teams, including analysts, PMs, and data architects.
• Guide solution development and infrastructure design across various business units.
• Ensure timely, high-quality delivery of data applications and components.
• Effectively communicate complex technical concepts to both technical and non-technical stakeholders.

Preferred Qualifications:

• Demonstrated experience managing and scaling data systems in research or healthcare environments.
• Proven success leading cross-functional teams and mentoring engineering professionals.
• Expert proficiency in data engineering tools (e.g., Python, Spark, SQL, Airflow, dbt).
• Strong knowledge of HIPAA and other healthcare compliance frameworks.
• Experience with enterprise data governance, metadata management, and data lineage.
• Ability to rapidly adopt and implement emerging technologies and industry best practices.

Knowledge, Skills, and Abilities:

• Strong leadership and communication skills, with the ability to influence at all organisational levels.
• Strategic thinker with exceptional problem-solving capabilities.
• Proficient in architecture documentation and infrastructure standardisation.
• Skilled in balancing short-term deliverables with long-term strategic goals.
• Committed to innovation, collaboration, and regulatory compliance in all data engineering efforts.

Minimum Qualifications:

• Bachelor's degree in Computer Science, Biomedical Informatics, Data Science, or a related field.
• At least 7 years of relevant experience, or an equivalent combination of education, training, and experience.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  IT Services and IT Consulting and Hospitals and Health Care

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Inferred from the description for this job

Medical insurance

Vision insurance

401(k)

Pension plan

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