Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Data Engineer contract position in Snoqualmie, Washington, requiring expertise in Python, SQL, time series databases (Influx DB, Splunk), and relational databases (PostgreSQL, MySQL). Strong communication skills and experience with data visualization tools (Power BI) are essential.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
-
🗓️ - Date discovered
September 24, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
On-site
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📄 - Contract type
W2 Contractor
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🔒 - Security clearance
Unknown
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📍 - Location detailed
Snoqualmie, WA
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🧠 - Skills detailed
#"ETL (Extract #Transform #Load)" #Visualization #Apache Kafka #Database Systems #PostgreSQL #Big Data #Schema Design #Splunk #Data Pipeline #Leadership #Kafka (Apache Kafka) #Python #SQL (Structured Query Language) #Data Engineering #Spark (Apache Spark) #MySQL #Microsoft Power BI #Databases #Scala #BI (Business Intelligence) #Time Series
Role description
Data Engineer
Snoqualmie, Washington, United States
Contract role
1. Design, build, and maintain robust data pipelines using Python and SQL to extract, transform, and load data from various sources into target databases
1. Strong knowledge on time series databases like Influx DB, Splunk etc as well as relational DB like PostgreSQL and MySQL.
1. Ability to perform DB schema design and data modelling. Current table schemas have lot of challenges, and they want the data engineer to review and fix them.
1. Collaborate with stakeholders to understand data requirements and deliver scalable data solutions
1. Monitor data pipeline performance, troubleshoot issues, and implement solutions for continuous improvement.
1. Strong communication and leadership skills.
1. Knowledge of other database systems or big data technologies (e.g., Apache Kafka, Spark) is good to have.
1. Experience with data visualization tools (Power BI) is strongly preferred.
Data Engineer
Snoqualmie, Washington, United States
Contract role
1. Design, build, and maintain robust data pipelines using Python and SQL to extract, transform, and load data from various sources into target databases
1. Strong knowledge on time series databases like Influx DB, Splunk etc as well as relational DB like PostgreSQL and MySQL.
1. Ability to perform DB schema design and data modelling. Current table schemas have lot of challenges, and they want the data engineer to review and fix them.
1. Collaborate with stakeholders to understand data requirements and deliver scalable data solutions
1. Monitor data pipeline performance, troubleshoot issues, and implement solutions for continuous improvement.
1. Strong communication and leadership skills.
1. Knowledge of other database systems or big data technologies (e.g., Apache Kafka, Spark) is good to have.
1. Experience with data visualization tools (Power BI) is strongly preferred.
