Plano Data Engineer: Production & Pipeline Expert

Tech Junction Ltd; Plano (TX); On-site; USD 90,000 - 130,000; Full time

Job summary

Sage IT in Plano, Texas seeks Data Engineers and Production Support Specialists to own ETL pipelines, data warehouses, and production troubleshooting on-site in Plano, TX. You’ll drive end-to-end data solutions and maintain high-availability pipelines while collaborating with cross-functional teams.

Ideal candidates bring strong SQL, Python, ETL tooling, and big data experience, with a focus on data governance, security, and reliable operational support.

Qualifications

• Bachelor's or Master's degree in Computer Science, Data Science, Information Technology, or a related discipline.
• Progressive hands-on experience in data engineering, data warehousing, and production support operations.
• Strong, demonstrable proficiency in SQL, Python, ETL tools, and relational/NoSQL databases.

Responsibilities

• Design, build, optimize, and maintain scalable data pipelines, ETL workflows, and data warehousing architectures.
• Provide robust production support, monitor data workflows, and resolve operational incidents in real time.
• Troubleshoot database query performance, timeouts, and data loading failures.
• Collaborate with data science, analytics, and software engineering squads to streamline data ingestion.

Skills

SQL

Python

ETL tools

Relational/NoSQL DBs

Big data frameworks

Cloud storage

Data governance

Problem solving

Stakeholder communication

Cross-functional collaboration

Teamwork

Education

Bachelor's or Master's in CS/DS/IT

Tools

Snowflake

dbt

Airflow

Kafka

Spark

Jira

Confluence

ServiceNow

Job description

Sage IT in Plano, Texas seeks Data Engineers and Production Support Specialists to own ETL pipelines, data warehouses, and production troubleshooting on-site in Plano, TX. You’ll drive end-to-end data solutions and maintain high-availability pipelines while collaborating with cross-functional teams.

Ideal candidates bring strong SQL, Python, ETL tooling, and big data experience, with a focus on data governance, security, and reliable operational support.