E-IT

Data Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer in Snoqualmie, WA, for 3 days a week, offering a competitive pay rate. Key skills include Python, SQL, ETL, and experience with time series databases like Influx DB and relational databases such as PostgreSQL or MySQL.
🌎 - Country
United States
πŸ’± - Currency
$ USD
-
πŸ’° - Day rate
Unknown
-
πŸ—“οΈ - Date
October 8, 2025
πŸ•’ - Duration
Unknown
-
🏝️ - Location
On-site
-
πŸ“„ - Contract
Unknown
-
πŸ”’ - Security
Unknown
-
πŸ“ - Location detailed
Snoqualmie, WA
-
🧠 - Skills detailed
#Big Data #Schema Design #Time Series #Microsoft Power BI #Cloud #Spark (Apache Spark) #Apache Kafka #SQL (Structured Query Language) #Databases #Python #PostgreSQL #Data Engineering #"ETL (Extract #Transform #Load)" #Leadership #BI (Business Intelligence) #MySQL #Visualization #Database Systems #Data Pipeline #Splunk #Kafka (Apache Kafka) #Scala
Role description
Data Engineer Location : Snoqualmie , WA (3 days ) Customer is looking for Python , SQL , ETL + On Premise ( not on cloud ) on time series databases like Influx DB or Splunk and relational DB like PostgreSQL or MySQL Data Engineer 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.