Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer in Redmond, WA, with a contract length of "unknown" and a pay rate of "unknown." Key skills include Python, SQL, time series databases, and data visualization (Power BI). Experience in database schema design is required.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
-
🗓️ - Date discovered
September 23, 2025
🕒 - Project duration
Unknown
-
🏝️ - Location type
On-site
-
📄 - Contract type
Unknown
-
🔒 - Security clearance
Unknown
-
📍 - Location detailed
Redmond, WA
-
🧠 - Skills detailed
#Splunk #Schema Design #Databases #Time Series #BI (Business Intelligence) #SQL (Structured Query Language) #Data Pipeline #Kafka (Apache Kafka) #Apache Kafka #Spark (Apache Spark) #MySQL #"ETL (Extract #Transform #Load)" #Scala #Data Engineering #Visualization #Python #Leadership #Database Systems #PostgreSQL #Big Data #Microsoft Power BI
Role description
Data Engineer
Redmond, WA - Onsite
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.
Email- himanshuk@arkhyatech.com
Data Engineer
Redmond, WA - Onsite
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.
Email- himanshuk@arkhyatech.com
