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WatchGuard Technologies, Inc. · Seattle, WA · Marketing and advertising · posted 5 days ago
WatchGuard Technologies, Inc. · Miami, FL · posted 138 days ago
By AtiveSite · Published 07/11/2026 · Updated 09/11/2026 · Every figure is linked to its source below.
| Employer | WatchGuard Technologies, Inc. |
|---|---|
| Location | Miami, Florida |
| Field | Technology › Data, analytics and AI |
| Level | not stated |
| Source category | Engineering |
| Posted | 2026-06-24 (138 days ago) |
| Work arrangement | On-site at the location listed |
| Pay | Not published in the source listing |
We are looking for a Senior Data Engineer to join our growing data platform team. You will own the design, build, and reliability of our cloud-native data lakehouse — from raw ingestion through to analytics-ready Gold tables. You will work closely with data analysts, analytics engineers, and product stakeholders to deliver trusted data at speed, while championing data quality and observability as first-class concerns.
This role sits at the intersection of data engineering and platform engineering — you will be expected to think in architectures, not just pipelines.
What You Will Do
Data Platform & Pipeline Engineering
▸ Design, build, and maintain scalable ETL/ELT pipelines using Azure Data Factory (ADF) and Apache Airflow, processing structured and semi-structured data across the Medallion architecture (Bronze → Silver → Gold).
▸ Implement incremental load patterns, change data capture (CDC), and event-driven ingestion to ensure data freshness across the platform.
▸ Build and optimise Snowflake data warehouse objects — tables, views, dynamic tables, streams, tasks, and stored procedures — for performance and cost efficiency.
▸ Develop modular, tested dbt models aligned to each Medallion layer, enforcing consistent naming conventions, documentation, and lineage across all transformations.
Data Quality & Observability
▸ Embed automated data validation at every Medallion layer using Elementary (dbt's observability layer), ensuring anomaly detection, freshness checks, and schema drift alerts are in place before data reaches consumers.
▸ Define and enforce data contracts between producers and consumers — row count checks, null rate thresholds, referential integrity, and value domain validation.
▸ Build and maintain data quality dashboards to give engineering and business stakeholders real-time confidence in platform health.
Azure Cloud Infrastructure
▸ Manage and optimise Azure Data Lake Storage Gen2 (ADLS) — folder structures, lifecycle policies, access tiers, and partition strategies.
▸ Build and maintain Azure Functions and Azure Logic Apps for lightweight event-driven processing, orchestration triggers, and operational automation.
▸ Manage secrets, credentials, and environment-specific configuration securely using Azure Key Vault — no hardcoded credentials in pipelines or code.
▸ Contribute to infrastructure-as-code practices for provisioning Azure data services (Terraform or Bicep preferred).
Collaboration & Delivery
▸ Translate ambiguous business requirements into well-defined data models and pipeline designs, working with analysts and stakeholders to validate assumptions before build.
▸ Participate in code reviews, enforce standards, and mentor junior engineers on data engineering best practices.
▸ Support CI/CD adoption for pipeline and dbt model deployment across Dev / Test / Prod environments.
What We Are Looking For
Must-Have
▸ Snowflake: Snowflake
– Advanced SQL — window functions, CTEs, recursive queries, query profiling
– Snowflake-native features: streams, tasks, snowpipe, dynamic tables, row-level security
– Virtual warehouse tuning and credit cost optimisation
▸ dbt + Elementary: dbt + Elementary
– Writing, testing, and documenting production dbt models
– Elementary integration for data observability and anomaly detection
– dbt incremental strategies, snapshots, and semantic layer
▸ Azure Cloud: Azure Cloud
– Azure Data Factory — pipeline authoring, triggers, parameterisation, linked services
– ADLS Gen2 — zone/folder design, lifecycle management, Parquet/Delta partitioning
– Azure Key Vault — secret management, managed identities
– Azure Functions / Logic Apps — event-driven triggers and lightweight automation
▸ Airflow: Airflow
– DAG authoring, task dependencies, XCom, sensors, and connection management
– Airflow deployment and monitoring in cloud-hosted environments
▸ Python: Python
– Data pipeline scripting, PySpark basics, REST API integration
– Unit testing pipeline logic and transformation functions
▸ Data Quality & Medallion Architecture: Medallion Architecture:
– Hands-on experience implementing Bronze / Silver / Gold Medallion architecture
– Data validation checks at each layer — not just at the final Gold layer
– Schema evolution handling and SCD Type 2 dimension management
▸ 4+ years of professional data engineering experience with at least 2 years on Azure cloud data platforms.
Nice-to-Have
▸ Exposure to Snowflake Cortex, dbt Semantic Layer, or Boomi Data Hub for AI-assisted data enrichment within pipeline layers.
▸ Experience integrating LLM-based quality checks or AI-assisted anomaly detection into data workflows.
▸ Familiarity with Microsoft Fabric and OneLake as a complementary or future-state platform.
▸ Knowledge of data mesh or data product thinking and how it maps to Medallion layer ownership.
▸ Experience with Terraform or Bicep for Azure infrastructure provisioning.
What We Are Looking For
Must-Have
▸ Snowflake: Snowflake
– Advanced SQL — window functions, CTEs, recursive queries, query profiling
– Snowflake-native features: streams, tasks, snowpipe, dynamic tables, row-level security
– Virtual warehouse tuning and credit cost optimisation
▸ dbt + Elementary: dbt + Elementary
– Writing, testing, and documenting production dbt models
– Elementary integration for data observability and anomaly detection
– dbt incremental strategies, snapshots, and semantic layer
▸ Azure Cloud: Azure Cloud
– Azure Data Factory — pipeline authoring, triggers, parameterisation, linked services
– ADLS Gen2 — zone/folder design, lifecycle management, Parquet/Delta partitioning
– Azure Key Vault — secret management, managed identities
– Azure Functions / Logic Apps — event-driven triggers and lightweight automation
▸ Airflow: Airflow
– DAG authoring, task dependencies, XCom, sensors, and connection management
– Airflow deployment and monitoring in cloud-hosted environments
▸ Python: Python
– Data pipeline scripting, PySpark basics, REST API integration
– Unit testing pipeline logic and transformation functions
▸ Data Quality & Medallion Architecture: Medallion Architecture:
– Hands-on experience implementing Bronze / Silver / Gold Medallion architecture
– Data validation checks at each layer — not just at the final Gold layer
– Schema evolution handling and SCD Type 2 dimension management
▸ 4+ years of professional data engineering experience with at least 2 years on Azure cloud data platforms.
Nice-to-Have
▸ Exposure to Snowflake Cortex, dbt Semantic Layer, or Boomi Data Hub for AI-assisted data enrichment within pipeline layers.
▸ Experience integrating LLM-based quality checks or AI-assisted anomaly detection into data workflows.
▸ Familiarity with Microsoft Fabric and OneLake as a complementary or future-state platform.
▸ Knowledge of data mesh or data product thinking and how it maps to Medallion layer ownership.
▸ Experience with Terraform or Bicep for Azure infrastructure provisioning.
Why Work for WatchGuard?
WatchGuard is a global leader in network security and intelligence, advanced endpoint protection, multi-factor authentication, and secure Wi-Fi. Our award-winning products and services are trusted worldwide by more than 18,000 security resellers and service providers to protect more than 250,000 customers. Our technology keeps our customers ahead of increasingly sophisticated hackers and has fueled record revenues at WatchGuard.
WatchGuard is headquartered in Seattle, Washington, with team members working remotely and in offices worldwide.
Our company culture places an intense focus on our customers and employees. From the newest employee to our CEO, you'll find that each person at WatchGuard embodies our Core Values: Accountability, Community, Belonging, Action, Innovation, and Customer-Centric. Learn more about our company culture at www.watchguard.com/wgrd-careers.
WatchGuard provides equal employment opportunities for all qualified employees, regardless of their race, color, national origin, religion, ancestry, creed, pregnancy, age, sex, sexual orientation (including gender expression or identity), marital status, mental or physical disability, honorably discharged veteran or military status or any other category protected by federal, state or local laws. Our equal employment opportunity (or EEO) policy focuses solely on the talent, hard work, contributions, and actual results achieved by each WatchGuard employee and on the potential of employment candidates to make such contributions. We consider focusing on an employee's protected characteristics rather than on talent, hard work, and actual work results to violate our EEO policy. As an Equal Opportunity Employer, we are committed to a diverse workforce. WatchGuard participates in E-verify.
WatchGuard is committed to providing reasonable accommodation for qualified individuals with disabilities in our job application procedures. Please let us know if you need assistance or accommodation due to a disability.
Compensation The base salary range is $140,000-$150,000 per year for full-time employment, exclusive of benefits. Your base salary will be determined by your individual skills, education, and experience. Hiring at the maximum of the range is not typical in order to allow for future salary growth. U.S. Benefits · Comprehensive benefits plan including medical, dental, vision, disability, and life insurance · Healthcare HSA · HSA with employer contribution · 10 paid holidays · 10 days of paid annual leave · 9 days of paid sick time · Paid parental leave · 401(k) with employer match Other Perks · Education assistance program · Dependent Care HSA match · Adoption assistance · Fertility care support · Backup care for family and pets · A growing network of employee resource groups · Employee referral program · Employee Assistance ProgramField: Technology Sub-niche: Data, analytics and AI All jobs at WatchGuard Technologies, Inc. Jobs in Florida Jobs in Miami, FL Miami city guide Florida state guide Miami-Dade County economy
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This is a — role in the Technology field (Data, analytics and AI) at WatchGuard Technologies, Inc..
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.
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.
This is editorial guidance, not information from the employer.
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The job is in Miami, FL. Below is what the official statistics say about living and working there.
How Miami compares. Among the 120 largest places in Florida, Miami is #2 by population, #119 for homeownership (#1 = highest), #98 for household income (#1 = highest), #49 for remote work (#1 = most). Its county, Miami-Dade County, is #1 of 67 counties for average pay ($77,609).
Miami has 459,745 residents (ACS 2020–2024), about 2.1% of the population of Florida. It covers 36 square miles of land, which works out to roughly 12,772 people per square mile. The median age is 39.3, 8% younger than the state median (39.3 against 42.6).
The median gross rent is $1,758 a month (rent plus utilities), 5% above the state median ($1,758 against $1,669). Over a year that is 33.8% of the median household income. US housing guidance treats housing as affordable when it takes 30% of income or less, so rent here is above that line for the typical household. The median home value is $518,100, which is 8.3 times the median household income ($62,462); a ratio above 5 usually means buying is out of reach without savings or a second income. 30.8% of households own their home, 54% below the state average (30.8% against 67.6%). A low ownership share points to a rental-heavy market with more apartments and shorter stays.
The Miami-Fort Lauderdale-West Palm Beach, FL metropolitan area has 2,819,940 jobs in the BLS wage survey, and the median pay across all occupations is $48,640 a year, 5% below the national median ($48,640 against $50,980). The biggest occupation groups are office and administrative support (374,810 jobs, median $46,060); sales and related (304,600 jobs, median $38,380); food preparation and serving related (279,520 jobs, median $35,280). The area is most specialised in legal (1.9 times) and protective 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 ($111,140) and computer and mathematical ($101,540). In 2026M09 the unemployment rate of Miami-Dade County was 1.9%. 67.0% of residents aged 16 and over are in the labour force. The city lies in Miami-Dade County; its jobs, pay by industry and GDP are on the county page.
Among workers, 59.3% drive alone, 7.0% use public transit, 5.2% walk, 16.0% work from home. 16.6% of workers commute 45 minutes or more, 9% below the state average (16.6% against 18.1%).
37.4% of adults aged 25 and over hold a bachelor's degree or higher, 10% above the state share (37.4% against 34.1%). 57.7% of residents were born outside the United States, 164% above the state share (57.7% against 21.9%). The poverty rate is 19.4%, 54% above the state rate (19.4% against 12.6%).
The warmest month is Aug, averaging 84°F (29.0°C), and the coolest is Jan at 70°F (21.2°C). About 1,327 mm (52 inches) of precipitation falls in a year; Jun is the wettest month (191 mm) and Jan the driest (44 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.
Closest cities in this guide: Miami Beach (4 miles, rent 4% higher); Coral Gables (7 miles, rent 35% higher); Fountainebleau (9 miles, rent 19% higher); Hialeah (9 miles, rent 4% lower). Rent differences are against Miami; use the Compare tab to put any two cities side by side.
Full guide to Miami →Florida guideAll jobs in Miami
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Places within 50 miles (straight line) of Miami, FL that have a guide, with what living there costs. No pay estimate is shown because the title did not match one occupation.
| 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 ⇅ |
|---|---|---|---|---|---|---|---|
| Miami, FL | 0 mi | $1,758 | $518,100 | $62,462 | 16.6% | n/a | Jobs |
| Miami Beach, FL | 4 mi | $1,826 | $556,700 | $72,856 | 15.0% | n/a | — |
| Coral Gables, FL | 7 mi | $2,373 | $1,089,900 | $134,216 | 10.8% | n/a | — |
| Fountainebleau, FL | 9 mi | $2,094 | $320,200 | $64,908 | 19.0% | n/a | — |
| Hialeah, FL | 9 mi | $1,689 | $392,000 | $55,594 | 19.3% | n/a | — |
| North Miami, FL | 9 mi | $1,702 | $365,000 | $57,188 | 21.2% | n/a | — |
| Westchester, FL | 9 mi | $1,819 | $508,700 | $72,262 | 19.6% | n/a | — |
| Doral, FL | 10 mi | $2,669 | $562,800 | $94,164 | 16.7% | n/a | — |
| North Miami Beach, FL | 11 mi | $1,750 | $366,700 | $63,280 | 22.6% | n/a | — |
| Kendall, FL | 12 mi | $1,905 | $567,900 | $87,325 | 22.9% | n/a | — |
| Tamiami, FL | 12 mi | $1,939 | $482,100 | $78,353 | 27.2% | n/a | — |
| Miami Gardens, FL | 12 mi | $1,787 | $378,500 | $63,627 | 23.6% | n/a | — |
| Country Club, FL | 13 mi | $1,899 | $378,600 | $75,212 | 26.4% | n/a | — |
| Kendale Lakes, FL | 13 mi | $1,968 | $404,500 | $71,621 | 25.7% | n/a | — |
| Aventura, FL | 14 mi | $2,513 | $451,100 | $89,274 | 26.2% | n/a | Jobs |
| Hallandale Beach, FL | 15 mi | $1,653 | $279,100 | $52,340 | 25.3% | n/a | — |
| Kendall West, FL | 15 mi | $1,808 | $409,500 | $69,554 | 31.5% | n/a | — |
| Cutler Bay, FL | 16 mi | $1,978 | $472,700 | $89,244 | 38.5% | n/a | — |
| Miramar, FL | 16 mi | $2,117 | $462,700 | $89,125 | 22.6% | n/a | — |
| The Hammocks, FL | 17 mi | $2,187 | $468,100 | $85,628 | 30.4% | n/a | — |
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 (713) Software engineering (4089) Cloud, IT and infrastructure (1040) Product management (836)
How far Miami, FL is from the 20 largest US cities, in straight-line miles (not driving distance). Click a column to sort.
| From ⇅ | Straight-line distance (miles) ⇅ | Population of that city ⇅ |
|---|---|---|
| Jacksonville, FL | 327 mi | 977,670 |
| Charlotte, NC | 653 mi | 903,844 |
| Houston, TX | 968 mi | 2,328,253 |
| Columbus, OH | 995 mi | 914,802 |
| Philadelphia, PA | 1,026 mi | 1,579,706 |
| Indianapolis, IN | 1,026 mi | 885,860 |
| New York, NY | 1,090 mi | 8,483,844 |
| Dallas, TX | 1,108 mi | 1,307,930 |
| Austin, TX | 1,113 mi | 979,539 |
| Fort Worth, TX | 1,139 mi | 963,194 |
| San Antonio, TX | 1,149 mi | 1,479,835 |
| Chicago, IL | 1,189 mi | 2,711,226 |
| Oklahoma City, OK | 1,225 mi | 697,125 |
| Denver, CO | 1,719 mi | 718,877 |
| Phoenix, AZ | 1,980 mi | 1,642,323 |
| San Diego, CA | 2,266 mi | 1,389,526 |
| Los Angeles, CA | 2,344 mi | 3,857,263 |
| San Jose, CA | 2,553 mi | 990,138 |
| San Francisco, CA | 2,623 mi | 830,235 |
| Seattle, WA | 2,731 mi | 754,195 |
| City ⇅ | Straight-line distance ⇅ | Open jobs ⇅ |
|---|---|---|
| Aventura, FL | 14 mi | 1 |
| Fort Lauderdale, FL | 26 mi | 3 |
| West Palm Beach, FL | 67 mi | 2 |
WatchGuard Technologies, Inc. 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".
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A private-sector role in technology (data, analytics and ai) listed 138 days ago. The full description is on this page and on the employer's page.
Miami, FL.
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The listing does not publish pay, and we could not match the title to one official occupation.
Median rent in Miami is $1,758 a month and median household income $62,462 (ACS 2020–2024).
It was posted on 2026-06-24 (138 days ago). Jobs older than 90 days are not shown.
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