Data Engineer V (6349)

Data Engineer V

itD is seeking a Data Engineer V to maintain and optimize critical data pipelines supporting Company’s revenue reporting and metric infrastructure. The ideal candidate will bring 10+ years of experience in data engineering, with strong expertise in Python, Hive, and ETL pipelines, along with a proven ability to investigate data errors, resolve data quality issues, and ensure reporting pipelines meet service-level agreements (SLAs).

Location: Remote (PST time zone preferred; former Meta experience preferred).

Duration: 3 months

Pay Rate: Depending on experience.

We provide comprehensive medical benefits, a 401(k) plan, paid holidays, and more.

Please note that we are only considering direct W2 candidates at this time, as we are unable to offer sponsorship.

Responsibilities

• Investigate and troubleshoot rMetric errors to determine whether reported issues represent actual data or pipeline failures or expected system behavior.
• Analyze and expand Nest metrics, including identifying and classifying components as widgets where applicable.
• Monitor revenue reporting and rMetrics pipelines to ensure SLA adherence and maintain reliable reporting operations.
• Resolve minor data quality issues, including identifying and correcting NULL segment values in linked rMetrics.
• Maintain, troubleshoot, and implement changes to existing data pipelines to support ongoing business and reporting requirements.
• Collaborate with senior individual contributors and cross-functional stakeholders to prioritize weekly deliverables and complete assigned work.
• Support timely Monday reporting by identifying pipeline blockers, investigating issues, and implementing appropriate resolutions.

Internal Responsibilities

• Attend regular internal practice community meetings.
• Collaborate with your itD practice team on industry thought leadership.
• Complete client case studies and learning material, including blogs and media material.
• Build out material to contribute to the Digital Transformation practice.
• Attend internal itD networking events, both in person and virtually.
• Work with leadership on career fast-track opportunities.

Required Qualifications and Skills

• 10+ years of professional experience in data engineering or a closely related field.
• Strong proficiency in Python for data processing, troubleshooting, and pipeline maintenance.
• Hands-on experience with Apache Hive and related data processing workflows.
• Demonstrated experience building, maintaining, troubleshooting, and modifying ETL pipelines.
• Experience investigating data errors, resolving data quality issues, and maintaining reliable reporting workflows.
• Ability to monitor pipeline performance and support SLA adherence.

Preferred Qualifications and Skills

• Previous experience working at Meta.
• Familiarity with revenue reporting, metrics infrastructure, and large-scale data warehousing systems.
• Strong communication and collaboration skills when working with senior individual contributors and cross-functional teams.
• A proactive approach to identifying pipeline issues, removing blockers, and completing weekly deliverables.

Education

No specific degree or certification is required. Equivalent practical experience in data engineering is acceptable.