Data Engineer I
Summary
Entry-level data engineer at LERETA supporting the enterprise data platform: maintaining Azure Data Factory pipelines and SSIS packages, running data validation/QA with SQL and Excel, supporting Power BI reports, and learning Snowflake and Ataccama ONE under senior guidance in an Agile team.
The Data Engineer I is an entry-level role supporting the enterprise data platform under the guidance of senior team members. This person works on well-defined tasks across Azure, Snowflake, and Microsoft BI technologies while building foundational data engineering skills.
Key Responsibilities:
- Assists with maintaining and monitoring existing Azure Data Factory (ADF) pipelines and SSIS packages under supervision
- Performs basic data validation, reconciliation, and QA checks using SQL and Excel
- Supports maintenance of existing Power BI reports and minor Power Query transformations
- Documents processes and updates existing technical documentation
- Provides Tier 1 production support for data integration and reporting platforms, escalating complex issues to senior engineers
- Participates in Agile/Scrum ceremonies including sprint planning and backlog refinement
- Learns Snowflake fundamentals, including basic querying and warehouse usage
- Assists with data quality checks in Ataccama ONE under guidance
- Performs other duties as assigned based on the needs of the department
Core Competencies:
- Strong communication skills with the ability to translate technical concepts to business stakeholders
- Strong analytical and problem-solving abilities
- High attention to detail and data accuracy
- Strong work ethic with a sense of ownership and accountability
- Ability to prioritize effectively in a production support and development environment
- Collaborative team player with the ability to work cross-functionally
Required Education & Experience:
- Bachelor's degree in Computer Science, Information Systems, or equivalent field, or equivalent practical experience
- 0-3 years of experience in data engineering, database development, or a related field
- Required Technical Skills:
- Basic SQL development
- Exposure to Azure Data Factory or SSIS
- Basic Power BI and Power Query
- Microsoft Excel (formulas, pivot tables, basic data validation)
- Familiarity with Git-based version control
- Understanding of Agile/Scrum methodology
Salary range: $85,000 - $100,000