Senior/Staff Data Engineer

New York, NY

Open 3 months, first seen by us 102 days ago

Pay: $175,000–255,000/year · Base — pay source
Charlie Health is pleased to offer comprehensive benefits to all full-time, exempt employees. Read more about our benefits here. The total target base compensation for this role will be between $175,000 and $255,000 per year at the commencement of employment. Please note, pay will be determined on an individualized basis and will be impacted by location, experience, expertise, internal pay equity, and other relevant business considerations. Further, cash compensation is only part of the total compensation package, which, depending on the position, may include stock options and other Charlie Health-sponsored benefits. #LI-HYBRID Our Values
Read the full posting
Work setting: Not stated
Employment: Not stated

What you’ll work on

Full posting

The Analytics & Data Engineering team owns all post-transactional data operations that turn raw data into insights.

As a Staff Data Engineer on this team, you'll be a key technical contributor and mentor across the team.

Build, release, and maintain ELT and streaming pipelines focused on correctness and performance
Orchestrate data workflows in Dagster/Airflow and dbt with monitoring and quality checks
Own areas of the Snowflake warehouse, with well-modeled schemas and clear lineage docs
Resolve critical data issues and address bottlenecks before they affect downstream users
Participate in on-call rotation to keep data available and pipelines healthy

From the employer’s posting

The Analytics & Data Engineering team owns all post-transactional data operations that turn raw data into insights. We design and operate ETL pipelines, Kafka Topics, data warehouses, transformations, agentic skills, and analytics tooling that power reporting, experimentation, and decision-making across Charlie Health. Our focus is on reliability, scalability, and making data accessible and actionable for the entire organization.

As a Staff Data Engineer on this team, you'll be a key technical contributor and mentor across the team. You will build and own significant parts of our data infrastructure, driving pipeline reliability and warehouse quality. You'll work across a modern data stack to ensure that Charlie Health's data is timely, accurate, performant, secure, and trusted. If you're energized by the opportunity to expand access to mental healthcare and make a meaningful impact on millions of lives from the data and pipelines you support, we'd love to hear from you.

Build, release, and maintain high-quality ELT & streaming pipelines with a strong emphasis on correctness, observability, and performance

Orchestrate complex data workflows using Dagster/Airflow and DBT, ensuring reliable and well-monitored execution and quality assessments

Own meaningful areas of our data warehouse, Snowflake, designing well-modeled, performant schemas, and maintaining clear documentation of data definitions and lineage

Resolve critical data issues independently and proactively identify and address bottlenecks before they impact downstream consumers

Participate in our on-call rotation to ensure data availability and pipeline health

What you’ll bring

All qualifications

Core experience

Bachelor's degree in Computer Science, Mathematics, or a related technical discipline, or equivalent practical experience
Experience leveraging AI tools for development
5+ years of experience in Data, with at least 4 years in a Data Engineering role
Deep expertise in analytical use cases of SQL, including CTEs, window functions, aggregation patterns, and performance tuning techniques such as partitioning and clustering
Strong proficiency in Python, including experience with common data engineering libraries
Hands-on experience with a modern data stack

Qualification wording

Bachelor's degree in Computer Science, Mathematics, or a related technical discipline, or equivalent practical experience

Experience leveraging AI tools for development

5+ years of experience in Data, with at least 4 years in a Data Engineering role

Deep expertise in analytical use cases of SQL, including CTEs, window functions, aggregation patterns, and performance tuning techniques such as partitioning and clustering

Strong proficiency in Python, including experience with common data engineering libraries

Hands-on experience with a modern data stack

Education & alternatives

Requirements - Bachelor's degree in Computer Science, Mathematics, or a related technical discipline, or equivalent practical experience - 5+ years of experience in Data, with at least 4 years in a Data Engineering role

Benefits in the posting

Full benefits wording

Charlie Health is pleased to offer comprehensive benefits to all full-time, exempt employees. Read more about our benefits here.
The total target base compensation for this role will be between $175,000 and $255,000 per year at the commencement of employment. Please note, pay will be determined on an individualized basis and will be impacted by location, experience, expertise, internal pay equity, and other relevant business considerations. Further, cash compensation is only part of the total compensation package, which, depending on the position, may include stock options and other Charlie Health-sponsored benefits. #LI-HYBRID
Our Values
Please be cautious of potential recruitment fraud. If you are interested in exploring opportunities at Charlie Health, please go directly to our Careers Page: https://www.charliehealth.com/careers/current-openings. Charlie Health will never ask you to pay a fee or download software as part of the interview process with our company. In addition, Charlie Health will not ask for your personal banking information until you have signed an offer of employment and completed onboarding paperwork that is provided by our People Operations team. All communications with Charlie Health Talent and People Operations professionals will only be sent from @charliehealth.com email addresses. Legitimate emails will never originate from gmail.com, yahoo.com, or other commercial email services.

From the employer’s posting.

Apply at Charlie Health

Posting record

Report an error

Open 3 monthsWe first saw this posting 102 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.

Status in our records: Live
First seen by us: Jul 25, 2026102 days ago
Recorded sightings: 90
Last seen by us: Nov 4, 2026

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

How this job compares

Pay

Higher than most similar jobs

$175K–$255K against $127K–$190K, the middle half of what similar US postings state.

From 2,133 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 102

Up longer than most. Similar jobs usually come down between day 6 and day 54.

At Charlie Health, jobs usually come down by about day 157.

From 10,881 similar postings that came down, and 5 of Charlie Health’s. Coming down is not always a hire.

Charlie Health is hiring

3 open jobs

No new data jobs since July
Its jobs tend to stay up a long time

Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

Python
SQL
dbt
Kafka
Snowflake
Airflow
Dagster

Where the posting names them

- Deep expertise in analytical use cases of SQL, including CTEs, window functions, aggregation patterns, and performance tuning techniques such as partitioning and clustering - Strong proficiency in Python, including experience with common data engineering libraries - Hands-on experience with a modern data stack

- 5+ years of experience in Data, with at least 4 years in a Data Engineering role - Deep expertise in analytical use cases of SQL, including CTEs, window functions, aggregation patterns, and performance tuning techniques such as partitioning and clustering - Strong proficiency in Python, including experience with common data engineering libraries

- Build, release, and maintain high-quality ELT & streaming pipelines with a strong emphasis on correctness, observability, and performance - Orchestrate complex data workflows using Dagster/Airflow and DBT, ensuring reliable and well-monitored execution and quality assessments - Own meaningful areas of our data warehouse, Snowflake, designing well-modeled, performant schemas, and maintaining clear documentation of data definitions and lineage

About the Role The Analytics & Data Engineering team owns all post-transactional data operations that turn raw data into insights. We design and operate ETL pipelines, Kafka Topics, data warehouses, transformations, agentic skills, and analytics tooling that power reporting, experimentation, and decision-making across Charlie Health. Our focus is on reliability, scalability, and making data accessible and actionable for the entire organization. As a Staff Data Engineer on this team, you'll be a key technical contributor and mentor across the team. You will build and own significant parts of our data infrastructure, driving pipeline reliability and warehouse quality. You'll work across a modern data stack to ensure that Charlie Health's data is timely, accurate, performant, secure, and trusted. If you're energized by the opportunity to expand access to mental healthcare and make a meaningful impact on millions of lives from the data and pipelines you support, we'd love to hear from you.

- Previous Experience in Airflow & Migrations - Previous Experience with Kafka Streams - Experience leveraging AI tools for development

- Orchestrate complex data workflows using Dagster/Airflow and DBT, ensuring reliable and well-monitored execution and quality assessments - Own meaningful areas of our data warehouse, Snowflake, designing well-modeled, performant schemas, and maintaining clear documentation of data definitions and lineage - Resolve critical data issues independently and proactively identify and address bottlenecks before they impact downstream consumers

- Previous Experience in Healthcare - Previous Experience in Airflow & Migrations - Previous Experience with Kafka Streams

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About the role

We file this job under Data Engineer, by the work the posting describes.

Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.

Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.

An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.

US government figures for database architects

Median yearly pay, May 2025: $139,500
Expected change, 2025 to 2035: 9.4% more jobsagainst 3.5% for all jobs

The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.

Job description

View original posting ↗

Why Charlie Health?

Millions of people across the country are navigating mental health conditions, substance use disorders, and eating disorders, but too often, they’re met with barriers to care. From limited local options and long wait times to treatment that lacks personalization, behavioral healthcare can leave people feeling unseen and unsupported.

Charlie Health exists to change that. Our mission is to connect the world to life-saving behavioral health treatment. We deliver personalized, virtual care rooted in connection—between clients and clinicians, care teams, loved ones, and the communities that support them. By focusing on people with complex needs, we’re expanding access to meaningful care and driving better outcomes from the comfort of home.

As a rapidly growing organization, we're reaching more communities every day and building a team that’s redefining what behavioral health treatment can look like. If you're ready to use your skills to drive lasting change and help more people access the care they deserve, we’d love to meet you.

About the Role

The Analytics & Data Engineering team owns all post-transactional data operations that turn raw data into insights. We design and operate ETL pipelines, Kafka Topics, data warehouses, transformations, agentic skills, and analytics tooling that power reporting, experimentation, and decision-making across Charlie Health. Our focus is on reliability, scalability, and making data accessible and actionable for the entire organization.

As a Staff Data Engineer on this team, you'll be a key technical contributor and mentor across the team. You will build and own significant parts of our data infrastructure, driving pipeline reliability and warehouse quality. You'll work across a modern data stack to ensure that Charlie Health's data is timely, accurate, performant, secure, and trusted. If you're energized by the opportunity to expand access to mental healthcare and make a meaningful impact on millions of lives from the data and pipelines you support, we'd love to hear from you.

Responsibilities

Build, release, and maintain high-quality ELT & streaming pipelines with a strong emphasis on correctness, observability, and performance
Orchestrate complex data workflows using Dagster/Airflow and DBT, ensuring reliable and well-monitored execution and quality assessments
Own meaningful areas of our data warehouse, Snowflake, designing well-modeled, performant schemas, and maintaining clear documentation of data definitions and lineage
Resolve critical data issues independently and proactively identify and address bottlenecks before they impact downstream consumers
Contribute to architectural decisions and technical design discussions, bringing well-reasoned, data-driven recommendations to the team
Support analytics delivery through Hex and AI Agents, collaborating with stakeholders to ensure data is accessible, governed, and actionable
Help the team level up by authoring documentation, sharing learnings, and contributing to a culture of craft and continuous improvement
Participate in our on-call rotation to ensure data availability and pipeline health

Requirements

Bachelor's degree in Computer Science, Mathematics, or a related technical discipline, or equivalent practical experience
5+ years of experience in Data, with at least 4 years in a Data Engineering role
Deep expertise in analytical use cases of SQL, including CTEs, window functions, aggregation patterns, and performance tuning techniques such as partitioning and clustering
Strong proficiency in Python, including experience with common data engineering libraries
Hands-on experience with a modern data stack
Demonstrated ability to take ownership of loosely-defined problems, breaking them into well-scoped tasks, driving them to completion, and communicating tradeoffs clearly
Experience working with sensitive data in a regulated environment
You live within a 75-minute commute of our NYC office (near Union Square) and are able to work in-office 4 days per week

Nice to Haves

Previous Experience in Healthcare
Previous Experience in Airflow & Migrations
Previous Experience with Kafka Streams
Experience leveraging AI tools for development

Benefits

Charlie Health is pleased to offer comprehensive benefits to all full-time, exempt employees. Read more about our benefits here.

The total target base compensation for this role will be between $175,000 and $255,000 per year at the commencement of employment. Please note, pay will be determined on an individualized basis and will be impacted by location, experience, expertise, internal pay equity, and other relevant business considerations. Further, cash compensation is only part of the total compensation package, which, depending on the position, may include stock options and other Charlie Health-sponsored benefits. #LI-HYBRID

Our Values

Connection: Care deeply & inspire hope.
Congruence: Stay curious & heed the evidence.
Commitment: Act with urgency & don’t give up.

Please do not call our public clinical admissions line in regard to this or any other job posting.

Please be cautious of potential recruitment fraud. If you are interested in exploring opportunities at Charlie Health, please go directly to our Careers Page: https://www.charliehealth.com/careers/current-openings. Charlie Health will never ask you to pay a fee or download software as part of the interview process with our company. In addition, Charlie Health will not ask for your personal banking information until you have signed an offer of employment and completed onboarding paperwork that is provided by our People Operations team. All communications with Charlie Health Talent and People Operations professionals will only be sent from @charliehealth.com email addresses. Legitimate emails will never originate from gmail.com, yahoo.com, or other commercial email services.

Recruiting agencies, please do not submit unsolicited referrals for this or any open role. We have a roster of agencies with whom we partner, and we will not pay any fee associated with unsolicited referrals.

At Charlie Health, we value being an Equal Opportunity Employer. We strive to cultivate an environment where individuals can be their authentic selves. Being an Equal Opportunity Employer means every member of our team feels as though they are supported and belong. We value diverse perspectives to help us provide essential mental health and substance use disorder treatments to all young people.

Charlie Health applicants are assessed solely on their qualifications for the role, without regard to disability or need for accommodation.

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