Data Engineer II - Build Scalable Pipelines & Insights

Dallas County; Texas; Vor Ort; USD 90.000 - 130.000; Vollzeit

Zusammenfassung

Dallas County is seeking a mid-level data engineer to design and maintain robust data pipelines and supporting analytics efforts. You will work across departments to ensure reliable, secure data delivery to business users and downstream applications, while contributing to data modeling, testing, and documentation.

The role emphasizes cross-team collaboration, scalable ETL/ELT processes, and adherence to data governance and security standards within a county data environment.

Qualifikationen

• Bachelor’s degree or higher in a job-related field; four years of data engineering/analytics/AI data processing experience.
• Proficient in SQL and Python; able to design scalable data pipelines.
• Experience with data integration tools and cloud data platforms.
• Knowledge of data privacy, security, and governance practices.

Aufgaben

• Design and maintain scalable data pipelines across structured and semi-structured data.
• Write performant SQL queries for ingestion, transformation, and delivery.
• Collaborate with analysts, data scientists, and developers to meet reporting needs.
• Document data models, lineage, and governance rules; support testing and QA.

Kenntnisse

SQL

Python

Data integration

Cloud platforms

Data modeling

Data governance

ETL/ELT

DevOps

CI/CD

Docker/Kubernetes

Spark/Databricks

Streaming data

Kafka/Kinesis

Ausbildung

Bachelor’s degree in Computer Science or related field

Tools

SSIS

ADF

dbt

Airflow

Git

CI/CD pipelines

SQL Server

Snowflake

Parquet

Jobbeschreibung

Dallas County is seeking a mid-level data engineer to design and maintain robust data pipelines and supporting analytics efforts. You will work across departments to ensure reliable, secure data delivery to business users and downstream applications, while contributing to data modeling, testing, and documentation.

The role emphasizes cross-team collaboration, scalable ETL/ELT processes, and adherence to data governance and security standards within a county data environment.