WeAreDevelopers Logo WeAreDevelopers
Sign in
For You LIVE
Back

Data Engineer

Intersources Inc.
Snowflake, AZ, United States
16 days ago
Apply on www.careerjet.com
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
10 years minimum
Compensation
$145,000.0 - $165,000.0
Working hours
Regular working hours
Job source
www.careerjet.com

Tech stack

Microsoft Azure Cloud Computing Information Engineering Data Governance Data Vault Modeling Data Visualization Meta-Data Management Microsoft SQL Server Power BI Transact-SQL Snowflake Pyspark
+3 more
Data Lineage Spark Streaming Databricks

Job description

Overview: Kentro is seeking a Data Engineer to support the implementation, enhancement, and ongoing administration of a modern Databricks data platform supporting Management Info…

  • 13 hours ago

Requirements

  • Minimum 10+ years of experience in data engineering, analytics, or a related field.
  • Proven expertise in T-SQL, PySpark, dbt, and Databricks (including Spark Structured Streaming).
  • Hands-on experience with SQL Server and cloud platforms such as Azure, Fabric, or Snowflake.
  • Working knowledge of data modeling tools such as Erwin Data Modeler.
  • Familiarity with Power BI or equivalent BI/visualization tools.
  • Solid understanding of data governance, metadata management, and data lineage principles.
  • Experience working within Agile/Scrum delivery frameworks.
  • Exposure to enterprise data warehousing methodologies such as Data Vault 2.0 or Kimball.
  • Ability to translate business needs into technical solutions through structured analysis.

Benefits & conditions

  • $145,000-165,000 per year

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.careerjet.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

Moments

Explore playlists

1:24 min

Moving the semantic layer upstream to avoid vendor lock-in

Piotr Menclewicz Piotr Menclewicz · Europe 2026 Virtual

1:33 min

Integrating internal APIs and maintaining data sovereignty

Mahran Meißner Mahran Meißner · World Congress 2026 Europe

4:32 min

Harnessing Spark with Python using PySpark and Py4J

Ayon Roy · LIVE

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

2:46 min

Transforming data architecture from on-premise to cloud

Sandhya Menon Sandhya Menon · World Congress 2026 Europe

3:48 min

Standardizing data access schemas with OData

Florian Bader Florian Bader · World Congress 2026 Europe

Videos

See all
From Messy Queries to Scalable Systems - How Data Engineering actually works thumbnail
31:15
World Congress 2026 Europe • about 2 months ago

From Messy Queries to Scalable Systems - How Data Engineering actually works

Sandhya Menon

Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG thumbnail
7:02
Europe 2026 Virtual • about 2 months ago

Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG

Piotr Menclewicz

PySpark - Combining Machine Learning & Big Data thumbnail
43:26
LIVE • almost 6 years ago

PySpark - Combining Machine Learning & Big Data

Ayon Roy

How Cisco embraced a DevOps culture within its network engineering team thumbnail
39:38
LIVE • over 5 years ago

How Cisco embraced a DevOps culture within its network engineering team

Stuart Clark

Enjoying SQL data pipelines with dbt thumbnail
26:53
World Congress 2023 • almost 3 years ago

Enjoying SQL data pipelines with dbt

Matthias Niehoff

Data Science in Retail thumbnail
58:21
LIVE • about 3 years ago

Data Science in Retail

Julian Joseph

Related articles

See all