Pay
$127K–$190K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 2,133 postings in the last year. Stated ranges, not salaries paid.
Senior Data Engineer
United States
Open 5 months, first seen by us 161 days ago- Pay
Multiple pay statements — pay source
Excellent communication skills with a talent for building consensus and distilling complex technical problems into clear, actionable business priorities. As a full-time Sr. Data Engineer, you will be employed by Lyra Health, Inc. The anticipated annual base salary range for this full-time position is $128,000 to $176,000. The base range is determined by role and level, and placement within the range will depend on a number of job-related factors, including but not limited to your skills, qualifications, experience and location. This role may also be eligible for discretionary bonuses. Annual salary is only one part of an employee’s total compensation package at Lyra. We also offer generous benefits that include:
Salary 128,000 – 176,000 USD per year "We are an Equal Opportunity Employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, age, disability, genetic information or any other category protected by law.
Read the full posting- Work setting
Remote — work setting source
Work setup in the employer’s posting: remote
From the employer’s posting- Employment
Full-time — employment source
Employment type Full-time
Employment type in the employer’s posting: Full-time
From the employer’s posting
What you’ll work on
Full postingAt Lyra Health, data is not just a byproduct of the business, it powers the analytics and research platforms that drive product development and measure life-changing clinical outcomes.
To thrive in this role, you should be enthusiastic about taking ownership of your work, spearheading cross-functional projects, and providing guidance and mentorship to other members of the team
Design and implement a data warehouse for analytics and operational use
Develop and maintain data pipelines and curated data sets
Gather stakeholder requirements and turn them into technical solutions
Write code every day on core data infrastructure and services
From the employer’s posting
At Lyra Health, data is not just a byproduct of the business, it powers the analytics and research platforms that drive product development and measure life-changing clinical outcomes. As a critical pillar of Lyra's data strategy, you will build and scale our data enterprise that empowers our teams to make better decisions and our patients to live happier, healthier lives.
To thrive in this role, you should be enthusiastic about taking ownership of your work, spearheading cross-functional projects, and providing guidance and mentorship to other members of the team
Design and implement a robust data warehouse to support a wide range of analytics and operational use cases
Develop and maintain efficient data pipelines and curated data sets
working closely with stakeholders to gather requirements and translate them into technical solutions
And of course—write code every day!
What you’ll bring
All qualificationsCore experience
- 4+ years as a Data Engineer
- Production-ready Python and scalable data project delivery
- SQL-based data modeling and transformation (e.g. dbt)
- Orchestration with Apache Airflow for fault-tolerant pipelines
- Snowflake architecture and administration, including RBAC
Preferred experience
- Experience working with sensitive data (such as PII/PHI) within healthcare or similarly regulated environments, implementing robust data masking or redaction processes.
- Familiarity with DevOps principles and infrastructure automation using Terraform.
- Excellent communication skills with a talent for building consensus and distilling complex technical problems into clear, actionable business priorities.
Qualification wording
4+ years of experience as a Data Engineer.
Proven track record of writing high-quality, production-ready Python and delivering impactful, scalable data projects.
Expertise in SQL-based data modeling and transformation frameworks (e.g. dbt)
hands-on experience building robust, fault-tolerant pipelines using Apache Airflow
Strong knowledge of Snowflake Cloud Data Warehouse Architecture
Experience working with sensitive data (such as PII/PHI) within healthcare or similarly regulated environments, implementing robust data masking or redaction processes.
Familiarity with DevOps principles and infrastructure automation using Terraform.
Excellent communication skills with a talent for building consensus and distilling complex technical problems into clear, actionable business priorities.
About Lyrahealth
Lyra Health is a leading provider of evidence-based mental health care, serving more than 20 million people globally in partnership with employers and more than 100 million through health plan and partner relationships.
In the employer’s words · Read in context
Posting record
Report an errorOpen 5 monthsWe first saw this posting 161 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
- May 27, 2026161 days ago
- Recorded sightings
- 167
- Last seen by us
- Nov 5, 2026
- Employer says posted
- May 21, 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
Time since we first saw it
Day 161
Up longer than most. Similar jobs usually come down between day 6 and day 54.
From 10,948 similar postings that came down. Coming down is not always a hire.
Lyrahealth is hiring
9 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Hiring is picking up
- Its jobs tend to stay up a long time
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
- Airbyte
- dbt
- Fivetran
- Iceberg
- Sigma
- Snowflake
- Tableau
- Terraform
- Airflow
Where the posting names them
- 4+ years of experience as a Data Engineer. - Proven track record of writing high-quality, production-ready Python and delivering impactful, scalable data projects. - Expertise in SQL-based data modeling and transformation frameworks (e.g. dbt), with a focus on schema management, performance, and data governance.
- Proven track record of writing high-quality, production-ready Python and delivering impactful, scalable data projects. - Expertise in SQL-based data modeling and transformation frameworks (e.g. dbt), with a focus on schema management, performance, and data governance. - Strong experience with modern ingestion tools: configuring, deploying on data integration platforms (e.g. Airbyte), commercial ELT pipelines (e.g. Fivetran), and database replication methods like Change Data Capture (CDC).
- Expertise in SQL-based data modeling and transformation frameworks (e.g. dbt), with a focus on schema management, performance, and data governance. - Strong experience with modern ingestion tools: configuring, deploying on data integration platforms (e.g. Airbyte), commercial ELT pipelines (e.g. Fivetran), and database replication methods like Change Data Capture (CDC). - Strong orchestration background: hands-on experience building robust, fault-tolerant pipelines using Apache Airflow (including custom alerting, advanced logging, and automated retry mechanisms).
- Experience with modern data visualization and analytics tools such as Sigma or Tableau. - Strong knowledge of Snowflake Cloud Data Warehouse Architecture, including native ingestion patterns (e.g. Snowpipe for continuous streaming) and open table formats (e.g. Apache Iceberg). - Strong knowledge of Snowflake administration including familiarity with maintaining security compliance, role based access control (RBAC), external authentication methods, and managing downstream data consumption in external platforms.
- Strong orchestration background: hands-on experience building robust, fault-tolerant pipelines using Apache Airflow (including custom alerting, advanced logging, and automated retry mechanisms). - Experience with modern data visualization and analytics tools such as Sigma or Tableau. - Strong knowledge of Snowflake Cloud Data Warehouse Architecture, including native ingestion patterns (e.g. Snowpipe for continuous streaming) and open table formats (e.g. Apache Iceberg).
- Strong knowledge of Snowflake Cloud Data Warehouse Architecture, including native ingestion patterns (e.g. Snowpipe for continuous streaming) and open table formats (e.g. Apache Iceberg). - Strong knowledge of Snowflake administration including familiarity with maintaining security compliance, role based access control (RBAC), external authentication methods, and managing downstream data consumption in external platforms. - A "QA-First" engineering mindset: Strong experience in end-to-end data quality assurance, regression testing, and data validation. Capable of troubleshooting data discrepancies, and performance-tuning complex pipelines.
- Experience working with sensitive data (such as PII/PHI) within healthcare or similarly regulated environments, implementing robust data masking or redaction processes. - Familiarity with DevOps principles and infrastructure automation using Terraform. - A thoughtful approach to balancing high-quality engineering standards with tight deadlines.
- Strong experience with modern ingestion tools: configuring, deploying on data integration platforms (e.g. Airbyte), commercial ELT pipelines (e.g. Fivetran), and database replication methods like Change Data Capture (CDC). - Strong orchestration background: hands-on experience building robust, fault-tolerant pipelines using Apache Airflow (including custom alerting, advanced logging, and automated retry mechanisms). - Experience with modern data visualization and analytics tools such as Sigma or Tableau.
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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
About Lyra Health
Lyra Health is a leading provider of evidence-based mental health care, serving more than 20 million people globally in partnership with employers and more than 100 million through health plan and partner relationships. The company has delivered more than 15 million sessions of mental health care, published more than 35 peer-reviewed studies, and delivered unmatched outcomes in terms of access, clinical effectiveness, and cost efficiency. Extensive peer-reviewed research confirms Lyra’s transformative care model helps people recover twice as fast and results in a 26% annual reduction in overall healthcare claims costs. Lyra is transforming access to life-changing mental health care through Lyra Empower, the only fully integrated, AI-powered platform combining the highest-quality care and technology solutions.
About the Role:
We are looking for an exceptional Sr. Data Engineer to join our team and help shape the future of mental health care. We care deeply about making a difference in people's lives, and we hope that you do too!
At Lyra Health, data is not just a byproduct of the business, it powers the analytics and research platforms that drive product development and measure life-changing clinical outcomes. As a critical pillar of Lyra's data strategy, you will build and scale our data enterprise that empowers our teams to make better decisions and our patients to live happier, healthier lives.
To thrive in this role, you should be enthusiastic about taking ownership of your work, spearheading cross-functional projects, and providing guidance and mentorship to other members of the team
Lyra is the right place for you if you:
- Thrive on working with brilliant teammates to solve complex, meaningful problems
- Are passionate about making a social impact and supporting people at their most challenging moments
- Enjoy cross-functional collaboration with physicians, therapists, data scientists, data analysts and product managers
Responsibilities
-
Join a team of innovative engineers building and scaling the core data infrastructure, pipelines, and services that power our products
-
Design and implement a robust data warehouse to support a wide range of analytics and operational use cases
-
Develop and maintain efficient data pipelines and curated data sets by working closely with stakeholders to gather requirements and translate them into technical solutions
-
And of course—write code every day!
Qualifications
-
4+ years of experience as a Data Engineer.
-
Proven track record of writing high-quality, production-ready Python and delivering impactful, scalable data projects.
-
Expertise in SQL-based data modeling and transformation frameworks (e.g. dbt), with a focus on schema management, performance, and data governance.
-
Strong experience with modern ingestion tools: configuring, deploying on data integration platforms (e.g. Airbyte), commercial ELT pipelines (e.g. Fivetran), and database replication methods like Change Data Capture (CDC).
-
Strong orchestration background: hands-on experience building robust, fault-tolerant pipelines using Apache Airflow (including custom alerting, advanced logging, and automated retry mechanisms).
-
Experience with modern data visualization and analytics tools such as Sigma or Tableau.
-
Strong knowledge of Snowflake Cloud Data Warehouse Architecture, including native ingestion patterns (e.g. Snowpipe for continuous streaming) and open table formats (e.g. Apache Iceberg).
-
Strong knowledge of Snowflake administration including familiarity with maintaining security compliance, role based access control (RBAC), external authentication methods, and managing downstream data consumption in external platforms.
-
A "QA-First" engineering mindset: Strong experience in end-to-end data quality assurance, regression testing, and data validation. Capable of troubleshooting data discrepancies, and performance-tuning complex pipelines.
Preferred Qualifications
-
Strong foundational knowledge of relational databases, core data warehousing principles, and dimensional modeling techniques.
-
Experience working with sensitive data (such as PII/PHI) within healthcare or similarly regulated environments, implementing robust data masking or redaction processes.
-
Familiarity with DevOps principles and infrastructure automation using Terraform.
-
A thoughtful approach to balancing high-quality engineering standards with tight deadlines.
-
Excellent communication skills with a talent for building consensus and distilling complex technical problems into clear, actionable business priorities.
As a full-time Sr. Data Engineer, you will be employed by Lyra Health, Inc. The anticipated annual base salary range for this full-time position is $128,000 to $176,000. The base range is determined by role and level, and placement within the range will depend on a number of job-related factors, including but not limited to your skills, qualifications, experience and location. This role may also be eligible for discretionary bonuses.
Annual salary is only one part of an employee’s total compensation package at Lyra. We also offer generous benefits that include:
-
Comprehensive healthcare coverage (including medical, dental, vision, FSA/HSA, life and disability insurances)
-
Lyra for Lyrians; coaching and therapy services
-
Equity in the company through discretionary restricted stock units
-
Competitive time off with pay policies including vacation, sick days, and company holidays
-
Paid parental leave
-
401K with up to 3% matching
-
Monthly tech allowance
-
We like to spread joy throughout the year with well-being perks and activities, surprise swag, regular community celebration…and more!
We can’t wait to meet you.
Salary
128,000 – 176,000 USD per year
"We are an Equal Opportunity Employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, age, disability, genetic information or any other category protected by law.
By applying for this position, you acknowledge that your personal information will be processed as per the Lyra Health Workforce Privacy Notice. Through this application, to the extent permitted by law, we will collect personal information from you including, but not limited to, your name, email address, gender identity, employment information, and phone number for the purposes of recruiting and assessing suitability, aptitude, skills, qualifications, and interests for employment with Lyra. We may also collect information about your race, ethnicity, and sexual orientation, which is considered sensitive personal information under the California Privacy Rights Act (CPRA) and special category data under the UK and EU GDPR. Providing this information is optional and completely voluntary, and if you provide it you consent to Lyra processing it for the purposes as described at the point of collection, for example for diversity and inclusion initiatives. If you are a California resident and would like to limit how we use this information, please use the Limit the Use of My Sensitive Personal Information form. This information will only be retained for as long as needed to fulfill the purposes for which it was collected, as described above. Please note that Lyra does not “sell” or “share” personal information as defined by the CPRA. Outside of the United States, for example in the EU, Switzerland and the UK, you may have the right to request access to, or a copy of, your personal information, including in a portable format; request that we delete your information from our systems; object to or restrict processing of your information; or correct inaccurate or outdated personal information in our systems. These rights may be subject to legal limitations. To exercise your data privacy rights outside of the United States, please contact globaldpo@lyrahealth.com. For more information about how we use and retain your information, please see our Workforce Privacy Notice."
Employment type
Full-time
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
Excellent communication skills with a talent for building consensus and distilling complex technical problems into clear, actionable business priorities. As a full-time Sr. Data Engineer, you will be employed by Lyra Health, Inc. The anticipated annual base salary range for this full-time position is $128,000 to $176,000. The base range is determined by role and level, and placement within the range will depend on a number of job-related factors, including but not limited to your skills, qualifications, experience and location. This role may also be eligible for discretionary bonuses. Annual salary is only one part of an employee’s total compensation package at Lyra. We also offer generous benefits that include:
More source context
Salary 128,000 – 176,000 USD per year "We are an Equal Opportunity Employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, age, disability, genetic information or any other category protected by law.
- Location & working pattern
United States
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.