Required Skills: Snowflake, data engineer, Python, SQL

Job Description

Job Title:  Senior Data Engineer

Status:  Accepting Candidates

Contract Length: 6 months + extensions

Location: 820 S Flower St Burbank CA 91502 or 1200 Grand Central Ave Glendale CA 91201

Preferred location: Glendale

Must work onsite hybrid starting week 1 (2 weeks max from the time of offer acceptance)

Zero exceptions will be made, as this is corporate policy - no delayed remote start, no remote work

2 days a week onsite, must be flexible up to 4 days a week onsite

• The assignment is expected to run through the end of the year (approximately 6-7 months), with a potential opportunity for extension depending on project needs and phases.
• The team is building a new Snowflake data platform, focused primarily on financial data ingestion and modeling.
• Strong hands-on experience with Snowflake, especially: Building data pipelines, Designing and structuring data objects, Creating data marts
• Experience working with financial datasets (e.g., financial planning, actuals) was emphasized as highly valuable, though not strictly mandatory.
• The role is intended for a senior-level data engineer, not a junior or lightly experienced Snowflake resource.
• Depth in Snowflake is more important than total years as a data engineer.
• A candidate with only minimal Snowflake exposure (e.g., short-term experience) would not be ideal.
• Experience with Snowflake Cortex AI, particularly for visualization or analytical layers after the base data platform is built.
• Familiarity with Technology Business Management (TBM) frameworks, as the team is building a TBM platform in Snowflake (acknowledged as difficult to find).
• Preference for candidates who can demonstrate: Work on defined projects with deadlines and scoped deliverables, Strong technical mastery of the Snowflake ecosystem, Practical understanding of financial data structures
• Given the tight timeline, candidates with prior financial data experience can onboard more quickly and reduce ramp-up time.

Interview Process

2-3 rounds

Initial resume screening by hiring manager, technical interview, likely involving deeper technical evaluation, final interview, potentially a group discussion with project team members the contractor would work alongside.

Job Overview

• Our Technology Portfolio and Business Management (TPBM) team provides strategic and operational support across the Disney Enterprise Technology & Data organization.
• The Portfolio Management team manages technology business demand, portfolio planning, and resource management processes to ensure proper prioritization, project planning, and alignment of outcomes to the strategic goals of Enterprise Technology.
• The Technology Business Management team provides strategic insights based on financial planning data, technology spend data and technology operational data to provide cost transparency and enable strategic decision making based Enterprise technology spend.

Key Responsibilities

• Design and Build Data Pipelines: Develop, automate, and maintain scalable data pipelines to bring together financial and operational data (GL, vendor invoices, headcount, budgets) from multiple enterprise sources into Snowflake.
• Model and Structure Data: Partner with architects to develop robust data models and create semantic layers, enabling user- friendly, flexible reporting and analysis.
• Implement Cost Allocation Logic: Write performant SQL and/or Python code that automates multi-layer allocation engines, cost pool processing, and service-level analytics.
• Collaborate Across Borders: Work closely with product managers, finance teams, AI/ML engineers, and QA to deliver governed, high-quality solutions on schedule.
• Automate and Optimize: Leverage workflow/orchestration tools (such as Snowflake Tasks, DBT, or Airflow) and adopt CI/CD/code versioning best practices for reliability and speed.
• Ensure Data Quality & Auditability: Implement and maintain reconciliation processes, checks, and IT controls to meet Disney s high standards for trust, compliance, and transparency.
• Support and Evolve: Provide operational and incident support, performance tuning, and assist with continuous improvement of Enterprise Data & Analytics infrastructure.

Basic Qualifications

• 5+ years of experience as a Data Engineer, with emphasis on cloud data platforms (Snowflake strongly preferred).
• Expertise in advanced SQL for data transformation & modeling (e.g., window functions, CTEs).
• Working experience with Python for ETL/ELT, automation, or analytics.
• Hands-on experience delivering robust, maintainable data pipelines for complex enterprise environments.
• Prior experience developing financial cost models (Financial planning, financial spend, cost allocation & recovery, etc.)
• Familiarity with workflow orchestration tools (DBT, Airflow, etc.).
• Knowledge of financial, accounting, or technology operations systems and data such as SAP, Clarity, ServiceNow, Cognos Planning and other similar systems.
• Demonstrated ability to work collaboratively in cross-functional teams.
• Strong communication skills; experience writing documentation and partnering with non-technical partners

Preferred Qualifications

• Familiarity with Generative AI tools such as Snowflake Cortex AI
• Knowledge and experience working with Technology Business Management (TBM) framework and methodology
• Strong understanding of corporate finance & accounting processes