Data Engineer
Horizontal Talent
Richmond, United States
15 days ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source
Tech stack
Amazon Web Services
Amazon Elastic Compute Cloud
Amazon S3
Business Analytics Applications
Data Analysis
Microsoft Azure
Continuous Integration
Information Engineering
Data Governance
Extract Transform Load (ETL)
Data Transformation
Data Structures
+21 more
Data Visualization
Data Warehousing
DevOps
Apache Hive
Identity and Access Management
Information Technology Operations
Power BI
Data Streaming
Tableau (Software)
Software Vulnerability Management
Cloud Platform System
Microsoft Power Automate
Amazon Virtual Private Cloud (VPC)
Backend
Data Lakes
Pyspark
Data Analytics
Functional Programming
Cloudwatch
Data Pipelines
Databricks
Job description
- Build, maintain, and improve data structures and pipelines aligned with business needs.
- Support reporting and analytics solutions through dashboard development and data visualization.
- Work with data lakes, data warehouses, and Databricks environments to organize and govern data.
- Develop ETL processes and assist with data pipeline troubleshooting and optimization.
- Create and support dashboards in Power BI, Tableau, or similar business intelligence tools.
- Design workflow automations, including Microsoft Power Automate, to improve efficiency.
- Translate business requirements into technical solutions and clear data flows.
- Help analysts and internal stakeholders access, understand, and use data effectively.
- Contribute to reporting, data quality, and monitoring efforts to support accurate insights.
- Collaborate with cross-functional partners to deliver end-to-end solutions.
Requirements
- Strong background in data engineering and pipeline development.
- Hands-on experience with Databricks workspace and dataset management.
- Experience with PySpark and Spark SQL for ETL and data transformation work.
- Dashboard development experience using Power BI, Tableau, or similar tools.
- Working knowledge of data lakes, data warehouses, and data governance concepts.
- Experience automating workflows, preferably with Microsoft Power Automate.
- Exposure to cloud environments, especially AWS services such as S3, EC2, Lambda, IAM, VPC networking, CloudWatch, CloudTrail, and KMS.
- Understanding of IT operations, DevOps, CI/CD, and infrastructure concepts.
- Familiarity with security and compliance practices, including vulnerability management.
- Ability to analyze data and present findings clearly to technical and non-technical audiences.
- Strong problem-solving, communication, and collaboration skills.
Preferred Skills
- Experience working in a federal, regulated, or highly secure environment.
- Knowledge of Azure concepts.
- Background in data analytics, reporting, or business intelligence support.
- Experience building self-service reporting solutions for internal users.
- Familiarity with automation for customer communications or backend processes.
- Ability to adapt quickly in a fast-paced, team-oriented setting.
Horizontal is committed to fostering an inclusive environment where people of all backgrounds feel respected, supported, and empowered to contribute. We value diversity, equity, and inclusion as essential to building strong teams and better solutions.
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Prepare application
- Draft this with your agent
- Open in Claude
- Open in ChatGPT
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