Overview
On Site
USD 56.00 - 60.00 per hour
Full Time
Skills
Python
Scala
GRID
Management
Computer Science
Unstructured Data
Storage
Machine Learning (ML)
Data Engineering
Amazon Web Services
Data Lake
Extract
Transform
Load
ELT
Workflow
Amazon S3
Amazon Redshift
Data Cleansing
Real-time
Analytics
Streaming
Amazon Kinesis
Batch Processing
Electronic Health Record (EHR)
Step-Functions
Scalability
SQL
Cloud Computing
SAN
Data Architecture
Data Warehouse
Data Storage
Data Integration
Database
IoT
Business Intelligence
Training
TCM
DICE
Job Details
JOB TITLE: AWS DATA ENGINEER
JOB LOCATION: SEATTLE, WA (REMOTE)
WAGE RANGE*: 56.00-60.00
JOB NUMBER: SAIJP00038294
REQUIRED EXPERIENCE:
JOB DESCRIPTION
an AWS Data Engineer to design, build, and optimize large-scale data pipelines and analytics solutions on Amazon Web Services (AWS). The role will design and build the infrastructure and pipelines that enable organizations to collect, store, process, and analyze large volumes of structured and unstructured data efficiently and securely. A Data Engineer is responsible for the end-to-end data lifecycle, from ingestion and transformation to storage and delivery for analytics, machine learning, and operational systems. They ensure data is reliable, high-quality, scalable, and accessible for business and technical stakeholders.
The ideal candidate will have strong expertise in cloud-based data engineering, hands-on experience with AWS native services, and a solid understanding of data lake, data warehouse, and real-time streaming architectures.
Location: This position is remote.
Responsibilities:
Equal opportunity employer as to all protected groups, including protected veterans and individuals with disabilities
* While an hourly range is posted for this position, an eventual hourly rate is determined by a comprehensive salary analysis which considers multiple factors including but not limited to: job-related knowledge, skills and qualifications, education and experience as compared to others in the organization doing substantially similar work, if applicable, and market and business considerations. Benefits offered include medical, dental and vision benefits; dependent care flexible spending account; 401(k) plan; voluntary life/short term disability/whole life/term life/accident and critical illness coverage; employee assistance program; sick leave in accordance with regulation. Benefits may be subject to generally applicable eligibility, waiting period, contribution, and other requirements and conditions. Benefits offered are in accordance with applicable federal, state, and local laws and subject to change at TCM's discretion.
#CJ #Dice
JOB LOCATION: SEATTLE, WA (REMOTE)
WAGE RANGE*: 56.00-60.00
JOB NUMBER: SAIJP00038294
REQUIRED EXPERIENCE:
- 5+ years of experience in data engineering roles
- Proficiency in SQL, Python, or Scala for data transformation and processing.
- Experience in the utility industry data
- Strong understanding of utility data domains: meter data, customer data, grid/asset data, work management, outage data.
- Familiarity with CIM standards and utility integration frameworks.
- Working Knowledge of AWS services such as:
- Storage & Processing: S3, Glue, Redshift, Athena, EMR
- Bachelor's degree in Computer Science, Data Engineering, or related field.
JOB DESCRIPTION
an AWS Data Engineer to design, build, and optimize large-scale data pipelines and analytics solutions on Amazon Web Services (AWS). The role will design and build the infrastructure and pipelines that enable organizations to collect, store, process, and analyze large volumes of structured and unstructured data efficiently and securely. A Data Engineer is responsible for the end-to-end data lifecycle, from ingestion and transformation to storage and delivery for analytics, machine learning, and operational systems. They ensure data is reliable, high-quality, scalable, and accessible for business and technical stakeholders.
The ideal candidate will have strong expertise in cloud-based data engineering, hands-on experience with AWS native services, and a solid understanding of data lake, data warehouse, and real-time streaming architectures.
Location: This position is remote.
Responsibilities:
- Design, build, and optimize ETL/ELT workflows to ingest data from multiple sources. (e.g., S3, Redshift, Lake Formation, Glue, lambda).
- Implement data cleansing, enrichment, and standardization processes.
- Automate batch and streaming data pipelines for real-time analytics. Build solutions for both streaming (Kinesis, MSK, Lambda) and batch processing (Glue, EMR, Step Functions).
- Ensure pipelines are optimized for scalability, performance, and fault tolerance.
- Optimize SQL queries, data models, and pipeline performance.
- Ensure efficient use of cloud-native resources (compute, storage, networking).
- Design and implement data architecture across data lakes, data warehouses, and lakehouses.
- Optimize data storage strategies (partitioning, indexing, schema design).
- Implement data integration from diverse sources (databases, APIs, IoT, third-party systems).
- Work with Data Scientists, Analysts, and BI developers to deliver clean, well-structured data.
- Document data assets and processes for discoverability.
- Training of existing core staff who will maintain infrastructure and pipelines.
Equal opportunity employer as to all protected groups, including protected veterans and individuals with disabilities
* While an hourly range is posted for this position, an eventual hourly rate is determined by a comprehensive salary analysis which considers multiple factors including but not limited to: job-related knowledge, skills and qualifications, education and experience as compared to others in the organization doing substantially similar work, if applicable, and market and business considerations. Benefits offered include medical, dental and vision benefits; dependent care flexible spending account; 401(k) plan; voluntary life/short term disability/whole life/term life/accident and critical illness coverage; employee assistance program; sick leave in accordance with regulation. Benefits may be subject to generally applicable eligibility, waiting period, contribution, and other requirements and conditions. Benefits offered are in accordance with applicable federal, state, and local laws and subject to change at TCM's discretion.
#CJ #Dice
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.