Data Engineer

Chicago, Illinois, United States; Nashville, Tennessee, United States; New York, NY, USA; Remote

Pay: Pay not listedSimilar roles state $127K–$190K
Work setting: Remote — work setting source
Listed location: Chicago, Illinois, United States; Nashville, Tennessee, United States; New York, NY, USA; Remote
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Employment: Not stated

Before you apply

Eligibility: Applicants must reside in the United States and be legally authorized to work in the United States to be considered for this position. — eligibility source
Applicants must reside in the United States and be legally authorized to work in the United States to be considered for this position.
Read the full posting

Apply at Unlock Health

What you’ll work on

Full posting

Develop and optimize data pipelines using Snowflake, BigQuery, SQL and Python
Ingest and transform data from APIs, databases, cloud storage and marketing platforms
Build reusable data models and transformation workflows with dbt
Add data validation, quality checks, monitoring and troubleshooting
Automate manual processes and improve pipeline performance and scalability

From the employer’s posting

Develop, maintain, and optimize data pipelines using Snowflake, Google BigQuery, SQL, and Python.

Ingest and transform data from APIs, databases, cloud storage, marketing platforms, and third-party sources.

Build reusable data models and transformation workflows using SQL, dbt, and established engineering practices.

Implement data validation, quality checks, monitoring, and troubleshooting for reliable delivery.

Automate manual processes and improve pipeline performance, scalability, and maintainability.

What you’ll bring

All qualifications

Core experience

2+ years of hands-on experience in data engineering, analytics engineering, or a related technical role.
Strong SQL skills and experience developing and supporting production data pipelines.
Hands-on experience with Snowflake and/or Google BigQuery, with the ability to learn and support both platforms.
Familiarity with dbt or similar data transformation frameworks.
Experience with AWS and/or Google Cloud environments.
Understanding of data modeling, ETL/ELT, Git, and data quality practices.

Preferred experience

401(k) with company match; flexible paid time off; paid parental leave.

Qualification wording

2+ years of hands-on experience in data engineering, analytics engineering, or a related technical role.

Strong SQL skills and experience developing and supporting production data pipelines.

Hands-on experience with Snowflake and/or Google BigQuery, with the ability to learn and support both platforms.

Familiarity with dbt or similar data transformation frameworks.

Experience with AWS and/or Google Cloud environments.

Understanding of data modeling, ETL/ELT, Git, and data quality practices.

401(k) with company match; flexible paid time off; paid parental leave.

Education & alternatives

- Strong analytical, troubleshooting, communication, and problem-solving skills. - Bachelor’s degree in a related field or equivalent practical experience. Preferred Qualifications

Tools in this posting

Python
SQL
AWS
BigQuery
dbt
Fivetran
Snowflake
Tableau
GCP

Source

Unlock Health is seeking a hands-on Data Engineer to build, maintain, and optimize our modern cloud data platform. This role develops reliable data pipelines, integrates diverse sources, and delivers high-quality datasets for analytics, reporting, and business decisions. The ideal candidate brings strong SQL skills, experience with Snowflake and/or Google BigQuery, working Python knowledge, and an interest in automation, troubleshooting, and responsible AI-assisted development. Applicants must reside in the United States and be legally authorized to work in the United States to be considered for this position.

Key Responsibilities - Develop, maintain, and optimize data pipelines using Snowflake, Google BigQuery, SQL, and Python. - Ingest and transform data from APIs, databases, cloud storage, marketing platforms, and third-party sources.

- Hands-on experience with Snowflake and/or Google BigQuery, with the ability to learn and support both platforms. - Working knowledge of Python for data processing, automation, and API integrations. - Familiarity with dbt or similar data transformation frameworks.

- Ingest and transform data from APIs, databases, cloud storage, marketing platforms, and third-party sources. - Build reusable data models and transformation workflows using SQL, dbt, and established engineering practices. - Implement data validation, quality checks, monitoring, and troubleshooting for reliable delivery.

- 2+ years of hands-on experience in data engineering, analytics engineering, or a related technical role. - Strong SQL skills and experience developing and supporting production data pipelines. - Hands-on experience with Snowflake and/or Google BigQuery, with the ability to learn and support both platforms.

- Familiarity with dbt or similar data transformation frameworks. - Experience with AWS and/or Google Cloud environments. - Understanding of data modeling, ETL/ELT, Git, and data quality practices.

- Strong SQL skills and experience developing and supporting production data pipelines. - Hands-on experience with Snowflake and/or Google BigQuery, with the ability to learn and support both platforms. - Working knowledge of Python for data processing, automation, and API integrations.

- Working knowledge of Python for data processing, automation, and API integrations. - Familiarity with dbt or similar data transformation frameworks. - Experience with AWS and/or Google Cloud environments.

- Automate manual processes and improve pipeline performance, scalability, and maintainability. - Use tools such as Fivetran, Supermetrics, and cloud services for data integration when appropriate. - Use ChatGPT, Claude, or similar AI tools for development, debugging, testing, and documentation; validate outputs for accuracy and security.

Preferred Qualifications - Fivetran, Supermetrics, or similar integration tools. - Tableau or comparable business intelligence platforms.

- Fivetran, Supermetrics, or similar integration tools. - Tableau or comparable business intelligence platforms. - ChatGPT, Claude, or other AI-assisted development tools.

About Unlock Health

We help our clients do everything from patient acquisition and brand building, to simplifying complex martech ecosystems, and creating digital experiences.

In the employer’s words · Read in context

Posting record

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Actively hiringFirst seen by us 5 days ago, still listed, and not a repost of an earlier posting.

Status in our records: Live
First seen by us: Oct 23, 2026 · 5 days ago
Recorded sightings: 11
Last seen by us: Oct 29, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

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Job description

View original posting ↗

The Role

Unlock Health is seeking a hands-on Data Engineer to build, maintain, and optimize our modern cloud data platform. This role develops reliable data pipelines, integrates diverse sources, and delivers high-quality datasets for analytics, reporting, and business decisions.

The ideal candidate brings strong SQL skills, experience with Snowflake and/or Google BigQuery, working Python knowledge, and an interest in automation, troubleshooting, and responsible AI-assisted development.

Applicants must reside in the United States and be legally authorized to work in the United States to be considered for this position.

Key Responsibilities

Develop, maintain, and optimize data pipelines using Snowflake, Google BigQuery, SQL, and Python.
Ingest and transform data from APIs, databases, cloud storage, marketing platforms, and third-party sources.
Build reusable data models and transformation workflows using SQL, dbt, and established engineering practices.
Implement data validation, quality checks, monitoring, and troubleshooting for reliable delivery.
Automate manual processes and improve pipeline performance, scalability, and maintainability.
Use tools such as Fivetran, Supermetrics, and cloud services for data integration when appropriate.
Use ChatGPT, Claude, or similar AI tools for development, debugging, testing, and documentation; validate outputs for accuracy and security.
Collaborate with data architects, analytics teams, and stakeholders to deliver trusted, analytics-ready datasets.

Required Qualifications

2+ years of hands-on experience in data engineering, analytics engineering, or a related technical role.
Strong SQL skills and experience developing and supporting production data pipelines.
Hands-on experience with Snowflake and/or Google BigQuery, with the ability to learn and support both platforms.
Working knowledge of Python for data processing, automation, and API integrations.
Familiarity with dbt or similar data transformation frameworks.
Experience with AWS and/or Google Cloud environments.
Understanding of data modeling, ETL/ELT, Git, and data quality practices.
Strong analytical, troubleshooting, communication, and problem-solving skills.
Bachelor’s degree in a related field or equivalent practical experience.

Preferred Qualifications

Fivetran, Supermetrics, or similar integration tools.
Tableau or comparable business intelligence platforms.
ChatGPT, Claude, or other AI-assisted development tools.
CI/CD, orchestration, automated testing, or data governance.
Marketing, advertising, CRM, or healthcare data integrations.

What Success Looks Like

Deliver reliable, automated, and well-documented data pipelines.
Improve data quality, processing efficiency, and platform reliability.
Build reusable solutions that reduce manual maintenance.
Collaborate effectively with technical and business teams.

Perks and Benefits

Competitive salary; health, dental, and vision benefit packages.
Company-paid life, short-term disability, and long-term disability insurance; FSA/HSA options.
401(k) with company match; flexible paid time off; paid parental leave.
Hybrid and remote schedules; employee assistance and referral programs.

About Us:

Unlock Health is a full-service marketing communication agency, grounded in technology, built for healthcare - and integrated with a managed care consultancy with deep revenue strategy expertise. We brought together leading healthcare firms to solve a core challenge: aligning brand, marketing, technology, and revenue strategy so healthcare organizations can attract and retain patients, grow brand equity, and protect their margins. We help our clients do everything from patient acquisition and brand building, to simplifying complex martech ecosystems, and creating digital experiences. Our work is rooted in clarity, authenticity, and a deep understanding of what moves healthcare forward.

Equality Opportunity Employer Statement
Unlock, and its affiliate companies, is an equal opportunity employer dedicated to building an inclusive and diverse workforce. We provide equal employment opportunities without regard to an applicant's race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law.

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