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Senior Data Engineer - Remote Opportunity

KinderCare Learning Companies · Beaverton, OR · posted 11 days ago

In short: Senior Data Engineer - Remote Opportunity at KinderCare Learning Companies in Beaverton, OR, posted 11 days ago.

By AtiveSite · Published 07/11/2026 · Updated 09/11/2026 · Every figure is linked to its source below.

KinderCare Learning Companieemployer

Beaverton, ORlocation

Data, analytics and AIsub-niche

11 days agoposted

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The job

LIVE Live feed (private-sector employer) Source: The Muse public API · Data: listed 2026-10-29

Employer	KinderCare Learning Companies
Location	Beaverton, Oregon
Field	Technology › Data, analytics and AI
Level	Senior Level
Source category	Data and Analytics
Posted	2026-10-29 (11 days ago)
Work arrangement	A remote or flexible location is listed
Pay	Not published in the source listing

Job description

Futures start here. Where first steps, new friendships, and confident learners are born. At KinderCare Learning Companies, the first and only early childhood education provider recognized with theGallup Exceptional Workplace Award, we offer a variety of early education and child care options for families. Whether it's KinderCare Learning Centers, Champions, or Crème de la Crème, we build confidence for kids, families, and the future we share. And we want you to join us in shaping it-in neighborhoods, at work, and in schools nationwide.

At KinderCare Learning Companies, you'll use your skills and expertise to support the work (and fun) that happens in our sites and centers every day. From marketers and strategists to financial analysts and data engineers, and so much more, we're all passionate about crafting a world where children, families, and organizations can thrive.

As Senior Databricks Engineer, you will be a hands-on technical expert and force multiplier on our Databricks-based data platform. You'll own the design, optimization, and governance of our medallion lakehouse architecture (Bronze/Silver/Gold), the Unity Catalog, and the pipelines that feed enterprise BI and emerging AI/ML products. You'll operate deep in the Databricks ecosystem daily (Delta Lake, Unity Catalog, Workflows, Delta Live Tables / Lakeflow, MLflow) while also shaping how the platform supports next-generation capabilities, including Databricks-native ML/AI features such as Genie spaces, feature engineering, model serving, and vector search. This role partners closely with the Data Engineering Lead and BI Architect and sits in a SOX-governed environment, so a strong instinct for data governance, access control, and auditable engineering practices is essential.

Responsibilities:

Platform & Pipeline Engineering

Design, build, and optimize production-grade ETL/ELT pipelines across the medallion architecture using Delta Lake, Delta Live Tables / Lakeflow Declarative Pipelines, and Databricks Workflows
Own performance tuning and cost efficiency across the platform - cluster/job sizing, Photon, partitioning and Z-ordering, Liquid Clustering, Auto Loader, and DBU cost governance
Architect and enforce data models that support enterprise BI (Microsoft Fabric/Power BI) and downstream analytics products
Build and maintain CI/CD pipelines for Databricks assets (Databricks Asset Bundles, Repos, Git-based deployment) following Agile and Test-Driven Development practices
Integrate platform pipelines with middleware and source systems (e.g., Boomi) and cloud-native services

Governance, Security & Reliability

Administer and evolve Unity Catalog: catalogs/schemas, fine-grained access control, lineage, row/column-level security, and workspace-catalog bindings
Implement and enforce data quality, observability, and reliability practices (expectations/constraints, monitoring, alerting, SLA management) across pipelines
Partner with security, compliance, and audit teams to maintain SOX ITGC alignment; access reviews, change control, and auditable engineering practices
Troubleshoot and resolve complex production data pipeline issues, performing root-cause analysis and implementing preventive fixes
Create clear, durable documentation of architecture, procedures, and operational runbooks

Forward-Looking ML/AI Enablement

Evaluate, pilot, and productionize Databricks-native AI/ML capabilities - including Genie for natural-language data access and MLflow for experiment tracking and model lifecycle management, Feature Store, and Model Serving
Support the build-out of vector search and retrieval-augmented generation (RAG) patterns on top of governed Unity Catalog data for internal AI use cases
Collaborate with data science and analytics stakeholders to prepare curated, ML-ready Gold-layer datasets and feature pipelines
Stay current on the Databricks roadmap (Lakehouse AI, Mosaic AI, Agent frameworks) and recommend adoption where it advances platform maturity and business value
Help define guardrails and human-in-the-loop controls for AI-assisted and agentic engineering workflows introduced to the platform

Collaboration & Leadership

Serve as a technical mentor to mid-level data engineers, raising the bar on Databricks best practices, code quality, and architectural rigor
Partner with the Data Architect and Data Engineering Lead to translate business requirements into technical specifications for BI and AI products
Collaborate cross-functionally with technical and non-technical stakeholders, including product, security, and business teams
Contribute to data governance, data security, and data privacy standards across the platform

Qualifications:

Bachelor's degree in computer science, information systems, engineering, statistics, or related field or equivalent work experience
7+ years of experience as a data engineer with 3+ years specifically architecting and operating production workloads on Databricks
Strong understanding of data governance, data security, and access control best practices
Experience with Agile development methodologies, CI/CD automation, and Test-Driven Development
Excellent problem-solving skills and the ability to lead technical troubleshooting independently
Strong written and verbal communication skills with the ability to explain technical concepts to non-technical stakeholders
Databricks certifications (e.g., Databricks Certified Data Engineer Professional, Databricks Certified Machine Learning Associate/Professional) strongly preferred
Demonstrated experience owning a lakehouse/medallion architecture at scale, including data modeling for BI consumption
Experience operating in a governed or regulated environment (SOX, HIPAA, or similar) with formal change control and access governance

Databricks & Platform Expertise (Core)

Deep, hands-on expertise with the Databricks Lakehouse Platform: Delta Lake, Unity Catalog, Delta Live Tables / Lakeflow, Workflows, and cluster/job optimization (Photon, Auto Loader, Liquid Clustering)
Advanced SQL and strong Python (PySpark) development skills; comfort with Scala a plus
Experience with Databricks Asset Bundles, Repos, and CI/CD for lakehouse deployments
Working knowledge of cloud data services (Azure preferred - ADLS, Azure SQL, Synapse/Fabric; AWS/GCP equivalents acceptable) and cloud migration patterns
Familiarity with BI integration layers such as Microsoft Fabric/Power BI and enterprise middleware (e.g., Boomi) a plus

ML/AI Fluency (Forward-Looking)

Hands-on experience with MLflow for experiment tracking, model registry, and lifecycle management
Working knowledge of Databricks AI/ML capabilities - Feature Store, Model Serving, Genie, Mosaic AI, or equivalent lakehouse ML tooling
Exposure to vector search, embeddings, or RAG architectures and an understanding of how governed data feeds AI/ML products
Comfort partnering with data science teams on ML-ready data pipelines, even without a formal data science background

#LI-Remote

Our benefits meet you where you are. We're here to help our employees navigate the integration of work and life:
- Know your whole family is supported with discounted child care benefits.

- Breathe easy with medical, dental, and vision benefits for your family (and pets, too!).
- Feel supported in your mental health and personal growth with employee assistance programs.
- Feel great and thrive with access to health and wellness programs, paid time off and discounts for work necessities, such as cell phones.
- ... and much more.

We operate research-backed, accredited, and customizable programs in more than 2,000 sites and centers across 40 states and the District of Columbia. As we expand, we're matching the needs of more and more families, dynamic work environments, and diverse communities from coast to coast. Because we believe every family deserves access to high-quality child care, no matter who they are or where they live. Every day, you'll help bring this mission to life by building community and delivering exceptional experiences. And if you're anything like us, you'll come for the work, and stay for the people.

KinderCare Learning Companies is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, national origin, age, sex, religion, disability, sexual orientation, marital status, military or veteran status, gender identity or expression, or any other basis protected by local, state, or federal law.

Explore around this job

Field: Technology Sub-niche: Data, analytics and AI All jobs at KinderCare Learning Companies Jobs in Oregon Jobs in Beaverton, OR Beaverton city guide Oregon state guide Washington County economy

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About the role

This is a Senior Level role in the Technology field (Data, analytics and AI) at KinderCare Learning Companies. Senior roles usually expect substantial experience, ownership of results and often the ability to guide others.

We could not match this job title to one occupation in the official wage statistics, so no pay estimate is shown. Pay is not in the source listing; ask the employer for the range and compare in the 240 job niches.

Does the pay work here? (estimate)

Gross salary a year Filing State income tax rate %

Estimate for a wage earner: 2026 federal brackets and standard deduction (IRS), Social Security 6.2% up to $184,500, Medicare 1.45% (+0.9% above $200,000 single / $250,000 married), and a state rate you set; set your own state tax rate. It ignores credits, pre-tax deductions, local taxes and benefits. Sources: IRS: tax year 2026 inflation adjustments · SSA wage base per Federal Register notice 2025-19763.

How to prepare and behave

This is editorial guidance, not information from the employer.

Read the whole description and match your examples to its requirements; use the same words the posting uses where they are true for you.
Research the employer before the interview: what it does, who its customers are and recent news; prepare two or three questions about the work.
Arrive early (or log in early for a video call), dress one step above the daily dress code, and test your camera and audio beforehand.
Answer with short stories: the situation, what you did and the result. Give numbers when you have them and never invent them.
Be honest about gaps; say what you did to learn and how fast you can close them.
Ask about the team, the first 90 days, how success is measured and the schedule; do not open with salary and time off.
When pay comes up, know the market range for the occupation and your lowest acceptable offer before you answer; ask for the full package in writing.
Send a short thank-you message within a day, mentioning one thing you discussed.
The listing mentions a remote or flexible location. Confirm with the employer whether remote work applies to your state: taxes, licensing and benefits can depend on where you live.
Have code, data work or projects you can show, and be ready to think aloud: many technical interviews test how you reason, not only the answer.

Know your rights as a candidate and an employee:

The city

The job is in Beaverton, OR. Below is what the official statistics say about living and working there.

How Beaverton compares. Among the 60 largest places in Oregon, Beaverton is #7 by population, #52 for homeownership (#1 = highest), #10 for remote work (#1 = most), #11 for college degrees (#1 = most). Its county, Washington County, is #1 of 36 counties for average pay ($90,292).

The place in numbers

Beaverton has 97,812 residents (ACS 2020–2024), about 2.3% of the population of Oregon. It covers 20 square miles of land, which works out to roughly 4,956 people per square mile. The median age is 37.8, 6% younger than the state median (37.8 against 40.4).

Housing

The median gross rent is $1,826 a month (rent plus utilities), 20% above the state median ($1,826 against $1,525). Over a year that is 22.2% of the median household income. US housing guidance treats housing as affordable when it takes 30% of income or less, so the typical household is under that line. The median home value is $569,800, which is 5.8 times the median household income ($98,622); a ratio above 5 usually means buying is out of reach without savings or a second income. 50.5% of households own their home, 20% below the state average (50.5% against 63.3%). A low ownership share points to a rental-heavy market with more apartments and shorter stays.

Work and pay

The Portland-Vancouver-Hillsboro, OR-WA metropolitan area has 1,208,410 jobs in the BLS wage survey, and the median pay across all occupations is $60,690 a year, 19% above the national median ($60,690 against $50,980). The biggest occupation groups are office and administrative support (127,020 jobs, median $52,840); food preparation and serving related (107,090 jobs, median $39,080); transportation and material moving (104,320 jobs, median $47,340). The area is most specialised in architecture and engineering (1.8 times) and community and social service (1.4 times), where the share of workers is well above the national share. The best-paying groups with at least 5,000 jobs are management ($136,440) and computer and mathematical ($126,120). In 2026M09 the unemployment rate of Washington County was 4.1%. 69.5% of residents aged 16 and over are in the labour force. The city lies in Washington County; its jobs, pay by industry and GDP are on the county page.

Getting around

Among workers, 59.4% drive alone, 4.3% use public transit, 2.6% walk, 25.1% work from home. 10.0% of workers commute 45 minutes or more, 14% below the state average (10.0% against 11.6%). Remote work is more common than in the state as a whole, which widens the set of employers a resident can work for without moving.

People and education

50.1% of adults aged 25 and over hold a bachelor's degree or higher, 36% above the state share (50.1% against 36.8%). 19.4% of residents were born outside the United States, 98% above the state share (19.4% against 9.8%). The poverty rate is 10.1%, 15% below the state rate (10.1% against 11.9%).

Climate

The warmest month is Aug, averaging 64°F (17.9°C), and the coolest is Dec at 38°F (3.5°C). About 1,494 mm (59 inches) of precipitation falls in a year; Dec is the wettest month (256 mm) and Jul the driest (11 mm). These values come from NASA satellite-based climatology on a grid of about 50 km, so they describe the wider area, not a weather station in the city.

Nearby cities to compare

Closest cities in this guide: Aloha (3 miles, rent 4% higher); Cedar Mill (4 miles, rent 3% higher); Tigard (4 miles, similar rent); Oak Hills (4 miles, rent 6% higher). Rent differences are against Beaverton; use the Compare tab to put any two cities side by side.

Full guide to Beaverton →Oregon guide All jobs in Beaverton

Official links for Beaverton

These links go to official sources and open in a new window. The first one is the government's or company's own site as listed in Wikidata (property "official website"); check it before relying on it.

Where to live

CITY Official statistics Source: U.S. Census Bureau, American Community Survey 2020–2024 5-year (via Census Reporter) · Data: ACS 2020–2024

Places within 50 miles (straight line) of Beaverton, OR that have a guide, with what living there costs. No pay estimate is shown because the title did not match one occupation.

Sort:

Place ⇅	Distance from the job city ⇅	Median rent ⇅	Median home value ⇅	Median household income ⇅	Commute 45+ min ⇅	Rent as % of occupation pay ⇅	Open jobs there ⇅
Beaverton, OR	0 mi	$1,826	$569,800	$98,622	10.0%	n/a	Jobs
Aloha, OR	3 mi	$1,896	$484,400	$101,934	12.4%	n/a	—
Cedar Mill, OR	4 mi	$1,882	$878,300	$164,079	12.2%	n/a	—
Tigard, OR	4 mi	$1,782	$610,500	$108,823	8.4%	n/a	—
Oak Hills, OR	4 mi	$1,935	$647,800	$127,179	5.8%	n/a	—
Bethany, OR	6 mi	$2,245	$751,700	$167,735	8.3%	n/a	—
Hillsboro, OR	7 mi	$1,978	$521,100	$106,409	12.2%	n/a	—
Lake Oswego, OR	7 mi	$2,139	$932,200	$141,549	6.7%	n/a	Jobs
Tualatin, OR	7 mi	$1,806	$628,200	$104,043	6.7%	n/a	—
Sherwood, OR	8 mi	$2,131	$602,100	$109,966	10.9%	n/a	—
Portland, OR	9 mi	$1,655	$581,500	$90,919	10.5%	n/a	Jobs
Milwaukie, OR	10 mi	$1,598	$505,100	$86,892	13.8%	n/a	—
Oak Grove, OR	10 mi	$1,744	$515,700	$86,226	14.8%	n/a	—
West Linn, OR	12 mi	$2,116	$770,200	$146,507	9.4%	n/a	—
Cornelius, OR	12 mi	$1,573	$452,900	$96,273	19.3%	n/a	—
Oatfield, OR	12 mi	$1,786	$569,000	$103,224	12.9%	n/a	—
Wilsonville, OR	12 mi	$1,878	$615,300	$96,236	11.7%	n/a	—
Gladstone, OR	13 mi	$1,740	$480,700	$91,250	12.1%	n/a	—
Newberg, OR	14 mi	$1,713	$472,100	$93,232	20.1%	n/a	—
Oregon City, OR	14 mi	$1,708	$555,800	$97,829	16.7%	n/a	—

Career paths

We could not match this title to one occupation, so here are the other sub-niches in Technology, where your skills may carry over:

Cybersecurity (366) Software engineering (1880) Cloud, IT and infrastructure (504) Product management (412)

Distances

CITY Calculation (straight line) Source: U.S. Census Bureau Gazetteer (coordinates) · Data: 2024

How far Beaverton, OR is from the 20 largest US cities, in straight-line miles (not driving distance). Click a column to sort.

Sort:

From ⇅	Straight-line distance (miles) ⇅	Population of that city ⇅
Seattle, WA	150 mi	754,195
San Francisco, CA	536 mi	830,235
San Jose, CA	568 mi	990,138
Los Angeles, CA	825 mi	3,857,263
San Diego, CA	926 mi	1,389,526
Denver, CO	991 mi	718,877
Phoenix, AZ	1,000 mi	1,642,323
Oklahoma City, OK	1,490 mi	697,125
Fort Worth, TX	1,612 mi	963,194
Dallas, TX	1,637 mi	1,307,930
Austin, TX	1,710 mi	979,539
San Antonio, TX	1,720 mi	1,479,835
Chicago, IL	1,760 mi	2,711,226
Houston, TX	1,836 mi	2,328,253
Indianapolis, IN	1,888 mi	885,860
Columbus, OH	2,035 mi	914,802
Charlotte, NC	2,293 mi	903,844
Philadelphia, PA	2,413 mi	1,579,706
Jacksonville, FL	2,442 mi	977,670
New York, NY	2,451 mi	8,483,844

Nearby cities with open jobs (within 120 miles)

Sort:

City ⇅	Straight-line distance ⇅	Open jobs ⇅
Lake Oswego, OR	7 mi	5
Portland, OR	9 mi	84
Battle Ground, WA	25 mi	1

The employer

KinderCare Learning Companies is the employer in this listing. See all its open jobs here →

We do not hold headcount or revenue for this employer. Check its careers site and, if it is listed on a stock exchange, its public filings (SEC EDGAR search).

What it is like to work at a company (culture, schedules, benefits) is not in the source data, so we do not describe it. Read the description and ask the questions under "How to prepare".

Other open jobs at KinderCare Learning Companies

Assistant Director at Worthington Hills KinderCare

KinderCare Learning Companies · Louisville, KY · Mid Level · Executive and general management · posted 3 days ago

Assistant Director at Rosemont KinderCare

KinderCare Learning Companies · Virginia Beach, VA · Mid Level · Executive and general management · posted 3 days ago

Before and After School Site Director at Kelly Elementary

KinderCare Learning Companies · Portland, OR · Mid Level · Teaching and training · posted 3 days ago

Before and After School Teacher at Dr. Phillips Elementary

KinderCare Learning Companies · Orlando, FL · Mid Level · Teaching and training · posted 3 days ago

Client Success Manager - Must Reside in PT

KinderCare Learning Companies · Louisville, KY · Senior Level · Executive and general management · posted 4 days ago

After School Site Teacher at KIPP Dream Prep

KinderCare Learning Companies · Houston, TX · Mid Level · Teaching and training · posted 4 days ago

Lead Teacher at Mary Queen of the Holy Rosary School

KinderCare Learning Companies · Lexington, KY · Senior Level · Teaching and training · posted 4 days ago

Senior Growth Operations Business Partner

KinderCare Learning Companies · Beaverton, OR · Senior Level · Marketing and advertising · posted 5 days ago

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FAQ

What is the Senior Data Engineer - Remote Opportunity job at KinderCare Learning Companies?

A senior level role in technology (data, analytics and ai) listed 11 days ago. The full description is on this page and on The Muse.

Where is this job?

Beaverton, OR. A remote or flexible location is listed; confirm with the employer which states are accepted.

How do I apply?

Use the "View this job and apply on The Muse" button. AtiveSite does not receive applications.

How much does it pay?

The listing does not publish pay, and we could not match the title to one official occupation.

What is the cost of living there?

Median rent in Beaverton is $1,826 a month and median household income $98,622 (ACS 2020–2024).

How old is this listing?

It was posted on 2026-10-29 (11 days ago). Jobs older than 90 days are not shown.

Are there similar jobs?

Yes: browse data, analytics and ai jobs in Oregon.

Sources and terms

Job data: The Muse public API (listing dated 2026-10-29). The job disappears from this site when it disappears from the source.
Wages and projections: BLS OEWS (May 2025) and Employment Projections 2025–35.
City and county figures: Census Bureau ACS 2020–2024, BEA, BLS QCEW and LAUS, NASA POWER climatology; distances from Census Gazetteer coordinates.

AtiveSite is not affiliated with or endorsed by The Muse, the employer or any government agency, and does not process applications. Verify every detail with the employer before acting.

Sources

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