EM
Eli McGarvie
Data Engineer Salary UK
about 3 years ago
Data Engineer
EXL Service View all jobs
Hartford, CT, United States
13 days ago
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Apply on www.careerjet.com
Prepare application
- Draft this with your agent
- Open in Claude
- Open in ChatGPT
Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Compensation
$72,800.0 - $99,840.0
Working hours
Regular working hours
Job source
Tech stack
Airflow
Amazon Web Services
Microsoft Azure
Batch Processing
Cloud Computing
Computer Programming
Information Engineering
Extract Transform Load (ETL)
Data Systems
Data Warehousing
Github
Apache Hive
+13 more
Python (Programming Language)
Standard Sql
Data Streaming
Google Cloud
Data Storage Technologies
Git
Data Lakes
Pyspark
Apache Kafka
Machine Learning Operations
Data Pipelines
Jenkins
Databricks
Requirements
Data Engineers design and build data systems and pipelines. Responsibilities include developing data processing workflows, optimizing data storage, and ensuring data accuracy. You will collaborate with data scientists and analysts to meet data requirements and resolve data issues. Strong experience in data engineering and problem-solving skills are required., * Databricks Workspace
- Databricks Jobs & Workflows
- Delta Lake
- Delta Live Tables (DLT)
- Unity Catalog
- Databricks SQL
- MLflow (preferred)
Programming
- PySpark
- Python
- SQL
- Spark SQL
Data Engineering
- ETL / ELT Design
- Data Warehousing
- Data Lakes
- Batch Processing
- Real-Time Streaming
- Data Modeling
Cloud Platforms (Any One)
- Microsoft Azure
- Amazon Web Services (AWS)
- Google Cloud Platform (GCP)
Tools
- Git
- Azure DevOps / Jenkins / GitHub Actions
- Airflow (preferred)
- Kafka/Event Hub (preferred)
Qualifications: Bachelor’s/Master’s in Engineering 2-5 years
Benefits & conditions
- $25.00-32.00 per hour
Apply for this position
This job is hosted externally. Click below to view the full posting and apply.
Apply on www.careerjet.com
Prepare application
- Draft this with your agent
- Open in Claude
- Open in ChatGPT
Good distractions
Talks and stories from around this role — technically off-topic, practically not.
Moments
Explore playlists2:15 min
Empowering domain teams with an open data platform
Sandhya Menon · World Congress 2026 Europe
6:21 min
Investigating push inefficiencies with upstream Git experts
Jonathan Creamer · Coffee With Developers
6:36 min
Funding open source through GitHub Accelerator and Sponsors
Stormy Peters · World Congress 2023
1:19 min
The true role and evolution of data engineering
Sandhya Menon · World Congress 2026 Europe
3:05 min
Audience questions on AI agents and pipeline vectorization
Joy · World Congress 2024
2:40 min
Using GitHub primitives for internal documentation and corporate operations
Kyle Daigle · Coffee With Developers
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