Home › Companies › Blend360 › Lead Data Engineer
Lead Data Engineer
Blend360 · Columbia, MD, United States · Remote · Active · $150,000–$160,000 / year · SmartRecruiters
Job facts
| Field | Value |
|---|---|
| Company | Blend360 |
| Title | Lead Data Engineer |
| Normalized title | - |
| Department / team | Marketing |
| Location | Columbia, MD, United States |
| Work model | Remote / Remote |
| Employment type | Full Time |
| Salary | $150,000–$160,000 / year |
| Status | active |
| ATS provider | SmartRecruiters |
| Posted / first seen | 2026-05-22 / 2026-05-31 |
| Changed / last seen | 2026-05-31 / 2026-06-06 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Blend360. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through SmartRecruiters. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| City jobs | Active postings in Columbia. | Open |
| Department jobs | Active postings in Marketing. | Open |
| Work model jobs | Active Remote postings. | Open |
| Lifecycle events | Open, update, close, and reopen events for this posting. | Open |
| Original posting | Canonical source or apply URL captured from the ATS. | Open |
Linked records
| Company | Blend360 |
| Source | 5f84d9dd-a554-44b2-bad9-46f0d01aba99 |
| ATS provider | SmartRecruiters |
Description
BLEND360 is an acclaimed, forward-thinking Data, Digital Marketing, & AI Solutions Company, dedicated to fueling remarkable outcomes for our Fortune 500 clients. Our trajectory is one of continuous expansion, emerging at the crossroads of cutting-edge analytics, data proficiency, technology, and digital marketing excellence.
We are seeking a Lead Data Engineer to support a large-scale healthcare data platform initiative focused on modernizing data ingestion, automation, and semantic layer capabilities within Google Cloud Platform (GCP). This role will play a critical part in building scalable, reliable, and business-ready data solutions that enable enterprise analytics and reporting across the organization.
The ideal candidate brings strong hands-on engineering expertise, deep knowledge of cloud-native data platforms, and experience leading technical implementation efforts in complex enterprise healthcare environments.
What You’ll Do
Design, build, and optimize scalable data pipelines supporting enterprise healthcare analytics and reporting use cases
Lead automation efforts across ingestion, transformation, orchestration, and operational monitoring workflows
Develop and maintain ingestion frameworks for structured and semi-structured healthcare data sources
Build and expand semantic data layers within GCP and BigQuery to support consistent, trusted business reporting and analytics consumption
Design scalable ELT/ETL workflows leveraging modern cloud-native architecture patterns
Partner closely with architects, analytics teams, and business stakeholders to translate data requirements into scalable technical solutions
Optimize BigQuery performance, partitioning, and cost management strategies
Implement engineering best practices for testing, observability, reliability, and deployment automation
Support data governance, data quality, and metadata management initiatives across the platform
Mentor junior engineers and provide technical leadership across delivery teams
Required Skills
Strong expertise in Google Cloud Platform (GCP), particularly:
BigQuery
Cloud Storage
Cloud Composer / orchestration tooling
Dataflow or modern ingestion frameworks
Experience designing and building scalable data ingestion and pipeline automation frameworks
Strong understanding of semantic layer development and dimensional modeling concepts
Advanced SQL and Python development skills
Experience with ETL/ELT pipeline design and orchestration
Familiarity with CI/CD, infrastructure automation, and cloud engineering best practices
Strong understanding of data quality, observability, and operational reliability principles
Preferred Experience
Experience working with healthcare data ecosystems and regulated enterprise environments
Familiarity with healthcare data standards or payer/provider analytics platforms
Experience supporting enterprise BI and analytics initiatives
Exposure to dbt, Looker, or semantic modeling frameworks is a plus
Required Experience
7+ years of experience in data engineering or cloud data platform development
Proven experience delivering enterprise-scale cloud data solutions in GCP environments
Experience leading technical workstreams or mentoring engineering teams
Consulting or client-facing experience strongly preferred
What Makes You Successful
You are passionate about building scalable and maintainable cloud-native data solutions
You balance hands-on engineering execution with technical leadership and collaboration
You communicate effectively with both technical and business stakeholders
You thrive in fast-paced, delivery-focused environments
You bring strong ownership, curiosity, and continuous improvement mindset to your work
#LI-AJ1
The starting pay range for this role is $150k - $160k. Actual compensation within the range will be dependent on several factors including but not limited to relevant experience, skills, certifications, training, and location. It is not typical for an individual to be hired at or near the top of the range and determining factors for compensation are considered for each individual circumstance. BLEND360 also offers a competitive benefits program to meet the health and financial well-being of our team and their families. You can look forward to a range of benefits including medical, dental, vision, 401K, PTO, paid holidays, commuter benefits, spending accounts, life insurance, disability coverage, and EAPs.
Full job record
| Job ID | a7555d7dbb42e40e804418a58a10e5f6a32f7307 |
| Org ID | cc79bc56-9085-4d67-9551-ca1d878b9321 |
| Source ID | 5f84d9dd-a554-44b2-bad9-46f0d01aba99 |
| Board ID | 5f84d9dd-a554-44b2-bad9-46f0d01aba99 |
| Provider | smartrecruiters |
| Provider Job Key | 744000127920722 |
| Title | Lead Data Engineer |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | Columbia, MD, United States |
| Department | Marketing |
| Team | — |
| Employment Type | full_time |
| Workplace Type | remote |
| Remote Policy | remote |
| Country | United States |
| Region | MD |
| City | Columbia |
| Salary Raw | USD 150000-160000 year |
| Salary Min | 150,000 |
| Salary Max | 160,000 |
| Salary Currency | USD |
| Salary Period | year |
| Source URL | https://jobs.smartrecruiters.com/Blend360/744000127920722-lead-data-engineer |
| Apply URL | https://jobs.smartrecruiters.com/Blend360/744000127920722-lead-data-engineer?oga=true |
| First Seen At | 2026-05-31 17:38:33Z |
| Last Seen At | 2026-06-06 20:32:09Z |
| Last Checked At | 2026-06-06 20:32:09Z |
| Last Changed At | 2026-05-31 17:38:33Z |
| Inactive At | — |
| Source Posted At | 2026-05-22 14:58:57Z |
| Source Updated At | — |
| Raw Payload Uri | s3://job-postings-prod-raw-590183727216/raw/provider=smartrecruiters/board=blend360/date=2026-06-06/2026-06-06T20-32-06-764Z-f7ec57f691302fcc351aa85f2777cbd2433d04a9b4a83491694362eb9ae9e5e9.json |
Event Fields
{
"content_hash": "ab940be7ad6a26f832a1a030aebcbc7655ff38f0d6050722de3c28b4fd380e5f",
"source_hash": "f41e39b59369a880e1d0948741726192d2517f4eb155bc99b6dc376d0506aa89",
"last_changed_at": "2026-05-31T17:38:33.760Z",
"active_status": "active"
}Parsed Structured
{
"language": "en",
"location": {
"raw": "Columbia, MD, United States",
"city": "Columbia",
"region": "MD",
"country": "United States",
"is_remote": true,
"confidence": 0.8
},
"salary_max": 160000,
"salary_min": 150000,
"inferred_at": "2026-06-06T20:32:09.968Z",
"launch_scope": {
"reason": "english_us_canada",
"included": true,
"language": "en",
"location": {
"raw": "Columbia, MD, United States",
"city": "Columbia",
"region": "MD",
"country": "United States",
"is_remote": true,
"confidence": 0.8
},
"countries": [
"United States"
]
},
"remote_policy": "remote",
"salary_period": "year",
"workplace_type": "remote",
"salary_currency": "USD"
}Extensions
{}Native Structured
{
"id": "744000127920722",
"ref": "https://api.smartrecruiters.com/v1/companies/blend360/postings/744000127920722",
"name": "Lead Data Engineer",
"uuid": "f00ff8db-056a-4228-8752-7377a6fc587e",
"detail": {
"id": "744000127920722",
"name": "Lead Data Engineer",
"uuid": "f00ff8db-056a-4228-8752-7377a6fc587e",
"jobAd": {
"sections": {
"jobDescription": {
"text": "<p>We are seeking a Lead Data Engineer to support a large-scale healthcare data platform initiative focused on modernizing data ingestion, automation, and semantic layer capabilities within Google Cloud Platform (GCP). This role will play a critical part in building scalable, reliable, and business-ready data solutions that enable enterprise analytics and reporting across the organization. </p><p>The ideal candidate brings strong hands-on engineering expertise, deep knowledge of cloud-native data platforms, and experience leading technical implementation efforts in complex enterprise healthcare environments. </p><p>What You’ll Do </p><ul><li><p>Design, build, and optimize scalable data pipelines supporting enterprise healthcare analytics and reporting use cases  </p></li></ul><ul><li><p>Lead automation efforts across ingestion, transformation, orchestration, and operational monitoring workflows  </p></li></ul><ul><li><p>Develop and maintain ingestion frameworks for structured and semi-structured healthcare data sources  </p></li></ul><ul><li><p>Build and expand semantic data layers within GCP and BigQuery to support consistent, trusted business reporting and analytics consumption  </p></li></ul><ul><li><p>Design scalable ELT/ETL workflows leveraging modern cloud-native architecture patterns  </p></li></ul><ul><li><p>Partner closely with architects, analytics teams, and business stakeholders to translate data requirements into scalable technical solutions  </p></li></ul><ul><li><p>Optimize BigQuery performance, partitioning, and cost management strategies  </p></li></ul><ul><li><p>Implement engineering best practices for testing, observability, reliability, and deployment automation  </p></li></ul><ul><li><p>Support data governance, data quality, and metadata management initiatives across the platform  </p></li></ul><ul><li><p>Mentor junior engineers and provide technical leadership across delivery teams  </p></li></ul>",
"title": "Job Description"
},
"qualifications": {
"text": "<p>Required Skills </p><ul><li><p>Strong expertise in Google Cloud Platform (GCP), particularly:  </p><ul><li><p>BigQuery</p></li><li><p>Cloud Storage</p></li><li><p>Cloud Composer / orchestration tooling</p></li><li><p>Dataflow or modern ingestion frameworks  </p></li></ul></li><li><p>Experience designing and building scalable data ingestion and pipeline automation frameworks  </p></li></ul><ul><li><p>Strong understanding of semantic layer development and dimensional modeling concepts  </p></li></ul><ul><li><p>Advanced SQL and Python development skills  </p></li></ul><ul><li><p>Experience with ETL/ELT pipeline design and orchestration  </p></li></ul><ul><li><p>Familiarity with CI/CD, infrastructure automation, and cloud engineering best practices  </p></li></ul><ul><li><p>Strong understanding of data quality, observability, and operational reliability principles  </p></li></ul><p> </p><p>Preferred Experience </p><ul><li><p>Experience working with healthcare data ecosystems and regulated enterprise environments  </p></li></ul><ul><li><p>Familiarity with healthcare data standards or payer/provider analytics platforms  </p></li></ul><ul><li><p>Experience supporting enterprise BI and analytics initiatives  </p></li></ul><ul><li><p>Exposure to dbt, Looker, or semantic modeling frameworks is a plus  </p></li></ul><p> </p><p>Required Experience </p><ul><li><p>7+ years of experience in data engineering or cloud data platform development  </p></li></ul><ul><li><p>Proven experience delivering enterprise-scale cloud data solutions in GCP environments  </p></li></ul><ul><li><p>Experience leading technical workstreams or mentoring engineering teams  </p></li></ul><ul><li><p>Consulting or client-facing experience strongly preferred  </p></li></ul><p> </p><p>What Makes You Successful </p><ul><li><p>You are passionate about building scalable and maintainable cloud-native data solutions  </p></li></ul><ul><li><p>You balance hands-on engineering execution with technical leadership and collaboration  </p></li></ul><ul><li><p>You communicate effectively with both technical and business stakeholders  </p></li></ul><ul><li><p>You thrive in fast-paced, delivery-focused environments  </p></li></ul><ul><li><p>You bring strong ownership, curiosity, and continuous improvement mindset to your work  </p></li></ul>",
"title": "Qualifications"
},
"companyDescription": {
"text": "<p>BLEND360 is an acclaimed, forward-thinking Data, Digital Marketing, & AI Solutions Company, dedicated to fueling remarkable outcomes for our Fortune 500 clients. Our trajectory is one of continuous expansion, emerging at the crossroads of cutting-edge analytics, data proficiency, technology, and digital marketing excellence.</p>",
"title": "Company Description"
},
"additionalInformation": {
"text": "<p>#LI-AJ1</p><p> </p><p>The starting pay range for this role is $150k - $160k. Actual compensation within the range will be dependent on several factors including but not limited to relevant experience, skills, certifications, training, and location. It is not typical for an individual to be hired at or near the top of the range and determining factors for compensation are considered for each individual circumstance. BLEND360 also offers a competitive benefits program to meet the health and financial well-being of our team and their families. You can look forward to a range of benefits including medical, dental, vision, 401K, PTO, paid holidays, commuter benefits, spending accounts, life insurance, disability coverage, and EAPs.   </p>",
"title": "Additional Information"
}
}
},
"jobId": "0214ee27-4949-4b90-ad05-ade3c3f1899a",
"active": true,
"company": {
"name": "Blend360",
"identifier": "Blend360"
},
"creator": {
"name": "",
"avatarUrl": ""
},
"jobAdId": "7a5dec18-ae54-4377-b0b9-24f0d82ae500",
"applyUrl": "https://jobs.smartrecruiters.com/Blend360/744000127920722-lead-data-engineer?oga=true",
"function": {
"id": "marketing",
"label": "Marketing"
},
"industry": {
"id": "marketing_and_advertising",
"label": "Marketing And Advertising"
},
"language": {
"code": "en",
"label": "English",
"labelNative": "English (US)"
},
"location": {
"city": "Columbia",
"hybrid": false,
"region": "MD",
"remote": true,
"country": "us",
"fullLocation": "Columbia, MD, United States"
},
"refNumber": "17258",
"postingUrl": "https://jobs.smartrecruiters.com/Blend360/744000127920722-lead-data-engineer",
"visibility": "PUBLIC",
"customField": [
{
"fieldId": "65c5410215187e609d5ef598",
"valueId": "0e71c584-7c99-41c6-b104-0047e5e45a14",
"fieldLabel": "Function",
"valueLabel": "Data Engineering"
},
{
"fieldId": "61439683f32966646e734c68",
"valueId": "default",
"fieldLabel": "Brands",
"valueLabel": "Blend360"
},
{
"fieldId": "COUNTRY",
"valueId": "us",
"fieldLabel": "Country/Region",
"valueLabel": "United States"
},
{
"fieldId": "6197c9d823c5e76f39c4645f",
"valueId": "d936cdba-9715-41ed-9248-7bf65a82d96d",
"fieldLabel": "Service Line",
"valueLabel": "AI Engineering and Science (AIES)"
},
{
"fieldId": "6197e2766644b316ae020f6f",
"valueId": "604e95dd-d0c0-4ed5-802c-ef764cb4debc",
"fieldLabel": "Management Level",
"valueLabel": "Lead Analyst"
},
{
"fieldId": "64d642c9a078325b152b26ce",
"fieldLabel": "HubSpot ID",
"valueLabel": "51317323881"
},
{
"fieldId": "6197dcdf5c1dc670650a820b",
"valueId": "665dc9c3-4baa-43e6-b0c6-36a3024ee063",
"fieldLabel": "Work Location",
"valueLabel": "Remote- US"
},
{
"fieldId": "64d643779bd8c41fcb4ceaa3",
"valueId": "e83b1ed0-2929-4bc5-a2ce-6d7c46c5fa6c",
"fieldLabel": "Placement Type",
"valueLabel": "Core"
},
{
"fieldId": "65c540a028671f385bac4887",
"valueId": "af0bed1a-4cb5-4087-a718-0bd2a5ffdfbb",
"fieldLabel": "Sub Service Line",
"valueLabel": "Data Engineering"
},
{
"fieldId": "62fbb0e7a3d83d3289d54fc7",
"valueId": "3d1a6c8c-c990-4711-ad78-0bf5d852f8a1",
"fieldLabel": "Job Priority",
"valueLabel": "A"
},
{
"fieldId": "6197d79323c5e76f39c46463",
"valueId": "757d06a5-0b5d-4861-b842-fe2bbb70ce73",
"fieldLabel": "Region",
"valueLabel": "NA"
}
],
"referralUrl": "https://jobs.smartrecruiters.com/external-referrals/company/Blend360/publication/f00ff8db-056a-4228-8752-7377a6fc587e?dcr_ci=Blend360",
"compensation": {
"max": 160000,
"min": 150000,
"period": "YEARLY",
"currency": "USD"
},
"defaultJobAd": true,
"releasedDate": "2026-05-22T14:58:57.822Z",
"experienceLevel": {
"id": "mid_senior_level",
"label": "Mid-Senior Level"
},
"typeOfEmployment": {
"id": "permanent",
"label": "Full-time"
}
},
"company": {
"name": "Blend360",
"identifier": "Blend360"
},
"jobAdId": "7a5dec18-ae54-4377-b0b9-24f0d82ae500",
"function": {
"id": "marketing",
"label": "Marketing"
},
"industry": {
"id": "marketing_and_advertising",
"label": "Marketing And Advertising"
},
"language": {
"code": "en",
"label": "English",
"labelNative": "English (US)"
},
"location": {
"city": "Columbia",
"hybrid": false,
"region": "MD",
"remote": true,
"country": "us",
"fullLocation": "Columbia, MD, United States"
},
"refNumber": "17258",
"department": {},
"visibility": "PUBLIC",
"customField": [
{
"fieldId": "65c5410215187e609d5ef598",
"valueId": "0e71c584-7c99-41c6-b104-0047e5e45a14",
"fieldLabel": "Function",
"valueLabel": "Data Engineering"
},
{
"fieldId": "61439683f32966646e734c68",
"valueId": "default",
"fieldLabel": "Brands",
"valueLabel": "Blend360"
},
{
"fieldId": "COUNTRY",
"valueId": "us",
"fieldLabel": "Country/Region",
"valueLabel": "United States"
},
{
"fieldId": "6197c9d823c5e76f39c4645f",
"valueId": "d936cdba-9715-41ed-9248-7bf65a82d96d",
"fieldLabel": "Service Line",
"valueLabel": "AI Engineering and Science (AIES)"
},
{
"fieldId": "6197e2766644b316ae020f6f",
"valueId": "604e95dd-d0c0-4ed5-802c-ef764cb4debc",
"fieldLabel": "Management Level",
"valueLabel": "Lead Analyst"
},
{
"fieldId": "6197dcdf5c1dc670650a820b",
"valueId": "665dc9c3-4baa-43e6-b0c6-36a3024ee063",
"fieldLabel": "Work Location",
"valueLabel": "Remote- US"
},
{
"fieldId": "64d643779bd8c41fcb4ceaa3",
"valueId": "e83b1ed0-2929-4bc5-a2ce-6d7c46c5fa6c",
"fieldLabel": "Placement Type",
"valueLabel": "Core"
},
{
"fieldId": "65c540a028671f385bac4887",
"valueId": "af0bed1a-4cb5-4087-a718-0bd2a5ffdfbb",
"fieldLabel": "Sub Service Line",
"valueLabel": "Data Engineering"
},
{
"fieldId": "62fbb0e7a3d83d3289d54fc7",
"valueId": "3d1a6c8c-c990-4711-ad78-0bf5d852f8a1",
"fieldLabel": "Job Priority",
"valueLabel": "A"
},
{
"fieldId": "6197d79323c5e76f39c46463",
"valueId": "757d06a5-0b5d-4861-b842-fe2bbb70ce73",
"fieldLabel": "Region",
"valueLabel": "NA"
},
{
"fieldId": "64d642c9a078325b152b26ce",
"fieldLabel": "HubSpot ID",
"valueLabel": "51317323881"
}
],
"defaultJobAd": true,
"releasedDate": "2026-05-22T14:58:57.822Z",
"detail_errors": [],
"experienceLevel": {
"id": "mid_senior_level",
"label": "Mid-Senior Level"
},
"typeOfEmployment": {
"id": "permanent",
"label": "Full-time"
}
}Get this page with API
Rendered from the bluedoor Job Postings API. Reproduce it:
GET https://api.bluedoor.sh/job-postings/v1/jobs/a7555d7dbb42e40e804418a58a10e5f6a32f7307?include=descriptionJSONGET https://api.bluedoor.sh/job-postings/v1/orgs/cc79bc56-9085-4d67-9551-ca1d878b9321JSONGET https://api.bluedoor.sh/job-postings/v1/sources/5f84d9dd-a554-44b2-bad9-46f0d01aba99JSONGET https://api.bluedoor.sh/job-postings/v1/jobs/a7555d7dbb42e40e804418a58a10e5f6a32f7307/eventsJSON