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The American Auto Shield Senior Data Engineer is a full-time, on-site position at our Lakewood, CO office.
We are seeking a
Senior Data Engineer
to play a critical role in our enterprise adoption of
Microsoft Fabric . This is a high-impact, highly visible position focused on designing and delivering modern, scalable data platforms that power analytics, reporting, and strategic decision-making across the organization. The work performed in this role directly supports key business drivers and is expected to deliver material impact within the next
two to three years . You will operate at the intersection of
Lakehouse, Warehouse, OneLake, and multiple Analytics Platforms , partnering closely with architects, product managers, and business stakeholders to transform complex data into trusted, actionable insights.
This role offers significant ownership, architectural influence, and the opportunity to establish best practices as we modernize and scale our data ecosystem.
Job Location
Lakewood, CO
Salary
The Senior Data Engineer earns competitive compensation from
$110,000-150,000.*
What You'll Do
Design, build, and evolve
end-to-end data pipelines
using Microsoft Fabric, Azure Data Factory, and Spark Serve as a key driver of
measurable business impact , ensuring data warehousing solutions directly support enterprise capabilities and outcomes Architect and maintain
Lakehouse and Warehouse solutions
leveraging
Delta Lake
for performance, reliability, and scalability Implement and continuously improve
Medallion architecture (Bronze / Silver / Gold)
within OneLake Develop resilient, scalable
ETL/ELT frameworks
supporting batch, dynamic, and incremental data ingestion Drive performance optimization through
partitioning strategies, schema and file design, caching, and query tuning Enable analytics and reporting through
semantic models
and
Direct Lake
integration Establish
data quality, validation, observability, and monitoring
to ensure trusted and governed data Partner with product and business teams to translate requirements into
robust, extensible data models Contribute to
data governance standards, documentation, and platform best practices Provide
technical leadership
within a team of highly experienced engineers through design reviews, code reviews, and collaborative solution sessions Requirements
What You Need to Join Our Team
Required Experience, Skills & Abilities:
Senior-level experience in
Data Engineering, Analytics Engineering, or a related discipline , with a track record of delivering enterprise-scale solutions Deep, hands-on experience with
Azure data services or comparable cloud ecosystems , including:
Microsoft Fabric (Lakehouse, Warehouse, OneLake) Azure Data Factory Azure Synapse Analytics Power BI, Tableau, MicroStrategy , or similar. AWS or Snowflake-based data platforms
Strong experience with
Spark
(PySpark and/or Spark SQL) Advanced
SQL
expertise (T-SQL and/or ANSI SQL) Proven ability to design and operate
large-scale, production-grade, high-performance data pipelines Hands-on experience with
Delta Lake
and modern data lake architectures Strong problem-solving skills and the ability to clearly communicate complex technical concepts to both technical and non-technical stakeholders Why This Role:
Opportunity to
shape and influence
a strategic, enterprise-wide Microsoft Fabric implementation Work on
modern data architecture
with meaningful scale and long-term impact High degree of
technical ownership and autonomy Collaborative engineering culture with
strong executive sponsorship Clear pathway for
technical growth, influence, and leadership Why work for us? We are excited to provide
Competitive compensation from
$110,000-150,000* Comprehensive benefits package
Medical Dental Vision Short/Long Term Disability Life Insurance Flex Spending Account
401 (k) ** PTO Paid Sick/Wellbeing Time Off Employee Assistance Program Voluntary Benefits
Pet Insurance Life Insurance
Satisfaction of work with a highly skilled team to make a company-wide impact
Salary Description
$110,000 - $150,000
Sprachkenntnisse
- English
Hinweis für Nutzer
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