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HTC Global Services wants you. Come build new things with us and advance your career. At HTC Global you'll collaborate with experts. You'll join successful teams contributing to our clients' success. You'll work side by side with our clients and have long-term opportunities to advance your career with the latest emerging technologies.

At HTC Global Services our consultants have access to a comprehensive benefits package. Benefits can include Paid-Time-Off, Paid Holidays, 401K matching, Life and Accidental Death Insurance, Short & Long Term Disability Insurance, and a variety of other perks.

Job Description:

We are seeking a highly skilled and experienced Senior DataOps Engineer to join our EPEO DataOps team. This role will be pivotal in designing, building, and maintaining robust, scalable, and secure telemetry data pipelines on Google Cloud Platform (GCP). The ideal candidate will have a strong background in DataOps principles, deep expertise in GCP data services, and a solid understanding of IT operations, especially within the security and network domains. You will enable real-time visibility and actionable insights for our security and network operations centers, contributing directly to our operational excellence and threat detection capabilities.

Skills Required:

+ Code Assessment, GCP, Data Architecture, Endpoint Security, Google Cloud Platform, Data Governance, Cloud Infrastructure, Extract Transform Load (Etl), Big Query, Network Security, Python

Skills Preferred:

+ Problem Solving, Critical Thinking, Communications, Cross-functional, Technologies, Cloud Computing

Experience Required: Core DataOps & Engineering Skills:

+ Proven experience as a DataOps Engineer, Data Engineer, or similar role, with a strong focus on operationalizing data pipelines.

+ Expertise in designing, building, and optimizing large-scale data pipelines for both batch and real-time processing.

+ Strong understanding of DataOps principles, including CI/CD, automation, data quality, data governance, and monitoring.

+ Proficiency in programming languages commonly used in data engineering, such as Python.

+ Experience with Infrastructure as Code (IaC) tools (e.g., Terraform) for managing cloud resources.

+ Solid understanding of data modeling, schema design, and data warehousing concepts (e.g., star schema).

Key Responsibilities:

+ Design & Development: Lead the design, development, and implementation of high-performance, fault-tolerant telemetry data pipelines for ingesting, processing, and transforming large volumes of IT operational data (logs, metrics, traces) from diverse sources, with a focus on security and network telemetry.

+ GCP Ecosystem Management: Architect and manage data solutions using a comprehensive suite of GCP services, ensuring optimal performance, cost-efficiency, and scalability. This includes leveraging services like Cloud Pub/Sub for messaging, Dataflow for real-time and batch processing, BigQuery for analytics, Cloud Logging for log management, and Cloud Monitoring for observability.

+ DataOps Implementation: Drive the adoption and implementation of DataOps best practices, including automation, CI/CD for data pipelines, version control (e.g., Git), automated testing, data quality checks, and robust monitoring and alerting.

+ Security & Network Focus: Develop specialized pipelines for critical security and network data sources such as VPC Flow Logs, firewall logs, intrusion detection system (IDS) logs, endpoint detection and response (EDR) data, and Security Information and Event Management (SIEM) data (e.g., Google Security Operations / Chronicle).

+ Data Governance & Security: Implement and enforce data governance, compliance, and security measures, including data encryption (at rest and in transit), access controls (RBAC), data masking, and audit logging to protect sensitive operational data.

+ Performance Optimization: Continuously monitor, optimize, and troubleshoot data pipelines for performance, reliability, and cost-effectiveness, identifying and resolving bottlenecks.

Education Required:

+ Bachelor's Degree

Education Preferred:

+ Collaboration & Mentorship: Collaborate closely with IT operations, security analysts, network engineers, and other data stakeholders to understand data requirements and deliver solutions that meet business needs. Mentor junior engineers and contribute to the team's technical growth.

+ Documentation: Create and maintain comprehensive documentation for data pipelines, data models, and operational procedures.

+ Education & Experience: Bachelor's or Master's degree in Computer Science, Data Engineering, Information Technology, or a related quantitative field.

+ Typically, 8+ years of experience in data engineering, with at least 4 years in a Senior or Lead role focused on DataOps or cloud-native data platforms.

Our success as a company is built on practicing inclusion and embracing diversity. HTC Global Services is committed to providing a work environment free from discrimination and harassment, where all employees are treated with respect and dignity. Together we work to create and maintain an environment where everyone feels valued, included, and respected. At HTC Global Services, our differences are embraced and celebrated. HTC is an Equal Opportunity Employer. We respect and seek to empower each individual and support the diverse cultures, perspectives, skills, and experiences within our workforce. HTC is proud to be recognized as a National Minority Supplier.

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