Data Engineer / Production Support | Sage IT | Plano, TX

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

Position Summary

Driving advanced data engineering, enterprise pipeline optimization, and mission-critical production support in Plano, Texas, Sage IT is actively seeking talented Data Engineers and Production Support Specialists for a permanent full-time professional engagement. In this vital data and analytics role, you will take full operational, tactical, and technical ownership of ETL pipeline maintenance, big data processing, database troubleshooting, automated alert monitoring, incident management, and system performance tuning. Bringing progressive professional experience in data engineering and production support, you will empower an elite technology solutions and IT consulting enterprise to achieve uncompromised data integrity, high-availability pipeline execution, and superior business intelligence delivery. This prestigious career opportunity offers competitive remuneration, enterprise client exposure, and professional growth within a leading global IT recruitment and software solutions corporation.

Detailed Job Description

As a Data Engineer / Production Support specialist supporting Sage IT on a professional on-site basis in Plano, Texas, you will take full operational, tactical, and technical ownership of data warehouse maintenance, production troubleshooting, performance optimization, and cross-functional engineering collaboration. Your day-to-day responsibilities include designing, developing, and maintaining robust data pipelines, data warehouses, and ETL workflows, troubleshooting production data issues, resolving database bottlenecks, and monitoring system alerts, collaborating proactively with data scientists, software developers, and technical recruitment leadership like Sridhar Marasa at Sage IT, ensuring strict adherence to data governance policies, participating in incident response and root-cause analysis, and managing application requirements.

Key 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.
• Investigate and troubleshoot database query performance, connection timeouts, and data loading failures.
• Collaborate proactively with data science, analytics, and software engineering squads to streamline data ingestion.
• Ensure strict adherence to data security, privacy standards, and regulatory compliance frameworks.
• Perform rigorous data validation, cleansing, and quality assurance checks across structured and unstructured datasets.
• Automate monitoring routines, alert notifications, and maintenance scripts to minimize system downtime.
• Maintain meticulous technical documentation, data lineage graphs, pipeline runbooks, and schema repositories.
• Participate actively in code reviews, architecture planning, and root-cause analysis (RCA) sessions.
• Coordinate with client stakeholders to gather data requirements and deliver actionable reporting solutions.

Required Qualifications & Skills

• Bachelor’s or Master’s degree in Computer Science, Data Science, Information Technology, or a related technical discipline.
• Progressive professional hands-on experience in data engineering, data warehousing, and production support operations.
• Strong, demonstrable operational proficiency in SQL, Python, ETL tools, and relational/NoSQL database management.
• Comprehensive working knowledge of big data processing frameworks and cloud data storage platforms.
• Strong analytical problem-solving skills and effective stakeholder communication capabilities.
• Proven ability to troubleshoot complex production bugs, manage incident lifecycles, and optimize query latency.
• Exceptional teamwork and cross-functional collaboration abilities across multicultural enterprise environments.
• Mandatory legal work authorization and physical availability for professional operations in Plano, Texas.

Nice-to-Have Skills

• Professional vendor certifications such as AWS Certified Data Analytics, Google Cloud Professional Data Engineer, or Databricks Certified Associate.
• Prior professional working experience supporting Tier-1 global financial institutions, healthcare corporations, or SaaS enterprises.
• Hands-on familiarity with modern data stack tools (Snowflake, dbt, Airflow, Kafka, Spark).
• Experience utilizing enterprise agile tracking and IT service desk platforms (Jira, Confluence, ServiceNow).
• Active participation in data engineering user groups, open-source communities, or technical conferences.

Application Information

Salary/Rate: Market Competitive / Enterprise Data Engineering Package

Work Schedule: On-Site Professional Operations (Plano, TX)

Deadline: Open until filled (Urgent Plano Data Engineer Opening)

Notice Period: Immediate to 30 Days Preferred

Contract Duration: Permanent / Full-Time Employment