Data Engineer II - Modernize Data Flows (Snowflake/dbt/SQL)

V-Soft Consulting Group, Inc.; Cincinnati (OH); Vor Ort; USD 90.000 - 120.000; Vollzeit

Zusammenfassung

V-Soft Consulting Group is seeking a Data Engineer II for our client in Cincinnati, OH. This role focuses on building and modernizing data flows using Snowflake, dbt, and SQL. You’ll work in an agile environment supporting production data pipelines.

Candidates should have a BS in a technical field and 3+ years of data engineering experience, with strong problem-solving and collaboration skills. The position offers full benefits and opportunities for growth.

Qualifikationen

• Bachelor's degree in CS/IS/Engineering or equivalent experience.
• 3+ years data engineering, ETL/ELT or equivalent software development.
• Production data flows design, implementation and support.
• Git-based development and code review experience.
• Ability to interpret ambiguous requirements within Agile teams.
• Translating high-level features into workable stories in an Agile context.
• Data modeling, testing, reconciliation, and production troubleshooting.

Aufgaben

• Analyze and modernize complex or poorly documented data flows.
• Strong analytical, critical-thinking, problem-solving, documentation, and communication skills.
• Work independently while collaborating with business and technical partners.
• Willingness to participate in a shared production-support rotation.

Kenntnisse

Snowflake

dbt

SQL

Operational supportability

Ausbildung

Bachelor's degree in CS/IS/Engineering

3+ years data engineering/ETL experience

Production data flows design/implementation

Git-based development & code review

Agile requirements interpretation

Translating features into user stories

Data modeling, testing, reconciliation, troubleshooting

Tools

DataStage

Informatica

GitHub Copilot

Jobbeschreibung

V-Soft Consulting Group is seeking a Data Engineer II for our client in Cincinnati, OH. This role focuses on building and modernizing data flows using Snowflake, dbt, and SQL. You’ll work in an agile environment supporting production data pipelines.

Candidates should have a BS in a technical field and 3+ years of data engineering experience, with strong problem-solving and collaboration skills. The position offers full benefits and opportunities for growth.