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Technical Support Engineer
Job Location:
Job Location:
Chicago, IL - USA
Monthly Salary:
Not provided by the employer
Monthly Salary:
Posted:
8 September 2026 (14 hours ago)
Posted:
Application Deadline:
6 December 2026
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
At Staffworxs we dont just connect talent we power transformation. Headquartered in Frisco TX with teams in Bengaluru and Hyderabad we combine global reach with deep expertise. Our Digital & Data Analytics practice drives growth and innovation for some of the worlds top Client brands who continue to retain us as their trusted partner. If youre ready to make an impact youre in the right place.
JOB DETAILS:
Job Title: Technical Support Engineer
Location: Chicago IL
Duration: Contract
Pay Rate: Open DOE
Client Industry: Airlines
Position Summary
We are seeking an experienced Technical Support Engineer at the L3 level to provide onsite support for enterprise data engineering platforms. The successful candidate will serve as the primary technical interface at the customer location own complex production issues through resolution and coordinate closely with offshore engineering and support teams.
This role requires deep expertise in AWS-based data services PySpark AWS Glue Databricks Amazon Redshift and SQL along with strong debugging stakeholder-management and communication skills. Key Responsibilities Roles & Responsibilities Required Professional Skills Qualifications and Experience Preferred Experience
Staffworxs is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive workplace for all employees regardless of race color religion gender sexual orientation national origin age disability or veteran status.
JOB DETAILS:
Job Title: Technical Support Engineer
Location: Chicago IL
Duration: Contract
Pay Rate: Open DOE
Client Industry: Airlines
Position Summary
We are seeking an experienced Technical Support Engineer at the L3 level to provide onsite support for enterprise data engineering platforms. The successful candidate will serve as the primary technical interface at the customer location own complex production issues through resolution and coordinate closely with offshore engineering and support teams.
This role requires deep expertise in AWS-based data services PySpark AWS Glue Databricks Amazon Redshift and SQL along with strong debugging stakeholder-management and communication skills.
- Provide L3 production support for data engineering applications ETL/ELT pipelines batch workflows and analytical data platforms.
- Own complex incidents from initial triage through resolution including log analysis data validation defect isolation root cause analysis recovery and preventive-action tracking.
- Troubleshoot and resolve issues across AWS Glue Amazon Redshift Databricks PySpark applications SQL workloads and related AWS services.
- Diagnose data mismatches pipeline failures performance degradation dependency issues access problems and environment or configuration defects.
- Write and optimize complex SQL queries for troubleshooting reconciliation data-quality validation and performance analysis.
- Debug PySpark and Spark-based workloads using execution plans job logs cluster metrics Spark UI and application diagnostics.
- Monitor production platforms identify risks proactively and ensure incidents and service requests are resolved within agreed SLAs.
- Lead incident bridges for critical production issues and provide timely accurate updates to technical teams business stakeholders and customer leadership.
- Coordinate daily with the offshore support and data engineering teams including work allocation technical handoffs follow-ups knowledge transfer and status reporting.
- Partner with data engineering platform infrastructure DevOps security QA and vendor teams to implement permanent fixes and maintain platform stability.
- Collaborate with different Business Units at the customer site to understand impact prioritize issues clarify requirements and communicate resolution plans.
- Support release deployment change and post-production validation activities across development test and production environments.
- Prepare and maintain runbooks troubleshooting guides known-error records incident reports RCA documents and operational dashboards.
- Identify opportunities to automate repetitive support activities improve monitoring and alerting and reduce manual recovery effort.
- Mentor L1/L2 support engineers and enable the offshore team to resolve recurring issues independently.
- Participate in an on-call or extended-hours support rotation when required for business-critical incidents.
- Strong hands-on experience with AWS data services particularly AWS Glue Amazon Redshift Amazon S3 IAM and Amazon CloudWatch.
- Strong proficiency in PySpark Spark SQL and distributed data-processing concepts.
- Hands-on experience supporting and troubleshooting Databricks jobs notebooks workflows clusters and runtime environments.
- Advanced SQL skills including complex joins analytical functions stored procedures query-plan analysis and performance tuning.
- Strong debugging and problem-solving ability across data pipelines application code job orchestration databases and cloud infrastructure.
- Experience with ETL/ELT processing data warehousing data lakes data-quality controls reconciliation and large-volume data handling.
- Knowledge of Redshift workload management distribution and sort keys query optimization connectivity and operational troubleshooting.
- Experience using monitoring logging alerting and ticketing tools for production support and incident management.
- Working knowledge of Git-based version control CI/CD processes deployment practices and environment promotion.
- Familiarity with Python or shell scripting for diagnostics automation and operational tooling.
- Excellent customer-facing communication and stakeholder-management skills.
- Proven ability to coordinate effectively between onsite stakeholders and offshore delivery teams across time zones.
- Strong ownership prioritization and decision-making skills in high-pressure production situations.
- Ability to explain technical issues business impact workarounds and resolution plans to both technical and non-technical audiences.
- Strong documentation analytical and attention-to-detail skills.
- Ability to work independently at the customer site while maintaining close alignment with the wider engineering organization.
- 68 years of overall experience in technical support production support data engineering or a related discipline including substantial L3 support responsibilities.
- Bachelors degree in Computer Science Information Technology Engineering or a related field.
- Demonstrated experience working onsite at a customer location and coordinating with offshore teams.
- Proven experience supporting business-critical data platforms in production environments.
- AWS or Databricks certification.
- Experience with Airflow or AWS Managed Workflows for Apache Airflow AWS Step Functions Lambda or similar orchestration services.
- Exposure to ServiceNow Jira or comparable IT service-management platforms.
- Experience defining SLAs operational metrics knowledge-management practices and continuous-improvement initiatives.
- Experience in a regulated or large enterprise customer environment.
Staffworxs is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive workplace for all employees regardless of race color religion gender sexual orientation national origin age disability or veteran status.
Required Experience:
IC
