Sr Data Engineer

Apptad Inc.
Bellevue, WA, United States
26 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Compensation
$87,100.0 - $157,450.0
Working hours
Shift work

Tech stack

Airflow Amazon Web Services Microsoft Azure Continuous Integration Information Engineering Data Governance Data Vault Modeling Python (Programming Language) Performance Tuning Azure Data Lake Data Streaming Azure Data Factory
+7 more
Sql Optimization Snowflake Pyspark Star Schema Apache Kafka Key Vault Databricks

Requirements

12+ years of Data Engineering experience Expertise in Snowflake, Databricks, PySpark, and Python Advanced SQL and performance optimization skills Experience with Azure (ADF, ADLS Gen2, Event Hub, Key Vault) or AWS Strong knowledge of dbt, Airflow, Azure Data Factory, and CI/CD pipelines Hands-on experience with Kafka/Event Hub and real-time streaming solutions Data modeling experience (Star Schema, Snowflake Schema, Data Vault, SCD Type 1/2) Strong understanding of data governance, security, and observability Experience in Finance, Revenue, Billing, or Telecom domains is highly preferred

Benefits & conditions

  • $32.00-36.00 per hour $32 - $36 per hour // 1st shift (6:00 am - 3:00 pm) // 22 days of PTO // Medical, Dental, Vision, and 401K This Jobot Job is hosted by: Braden Prater Are you a fit? Easy Apply n…

  • 2 days ago +

About the company

Leidos

  • Des Moines, WA
  • $87,100-157,450 per year Description Looking for an opportunity to make an impact? At Leidos, we deliver innovative solutions through the efforts of our diverse and talented people who are dedicated to…

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Good distractions

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

2:15 min

Empowering domain teams with an open data platform

Sandhya Menon Sandhya Menon · World Congress 2026 Europe

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

4:32 min

Harnessing Spark with Python using PySpark and Py4J

Ayon Roy · LIVE

4:55 min

Centralizing credentials management using Azure Key Vault resource integration

Marcel Lupo · LIVE

3:05 min

Audience questions on AI agents and pipeline vectorization

Joy Joy · World Congress 2024

3:37 min

Scaling machine learning pipelines from prototypes to petabytes

Julian Joseph · LIVE

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