Padmi

Snowflake Data Engineer

United States · HybridPosted 1 month ago
Infrastructure And DatabasesUnspecified
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Snowflake Data Engineer, 6-12 month contract - Financial services experience.

Hybrid - 3 days/week on site, 2 days remote (West Houston) - Heavy preference on someone already local to Houston, will entertain relocators but not as a priority.

We are seeking an experienced Snowflake Data Engineer to own the design, development, and operationalization of a modern cloud data platform that powers board-level financial dashboards (Net Revenue, EBITDA, Free Cash Flow, etc.). You will lead Snowflake environment design, write production-grade SQL, build robust dbt transformation pipelines, and contribute light-weight Python utilities that automate quality checks and CI/CD. A solid grasp of financial consolidations, inter-company eliminations, and multi-currency reporting is essential so you can partner effectively with FP&A, Accounting, and Executive stakeholders.

Minimum qualifications

  • 12-15 years end-to-end data engineering experience, 3+ years Snowflake (Enterprise scale)

  • 4+ dbt projects in production (or 3 if each is over 12 months)

  • Advanced SQL (analytic functions, dynamic pivots, query-profile debugging).

  • Working Python (Snowpark, pandas) for ELT helpers and test harnesses.

  • Proven delivery of executive-grade financial dashboards or data marts—must demonstrate understanding of eliminations, inter-company balances, multi-GAAP roll-ups.

  • CI/CD with Git, dbt Cloud/CLI, and at least one orchestrator (Airflow, Prefect, Dagster).

  • Cloud experience (AWS preferred: S3, IAM, Glue, Lambda or Step Functions).

  • Strong communication skills: can brief non-technical finance leaders yet dive deep with architects.

  • Bachelor's degree in Computer Science, Information Systems, Engineering, or Finance/Accounting; MS or MBA a plus.

  • Preferred / Nice-to-Have

  • Snowflake Snowpipe, Stream-&-Task, Dynamic Tables.

  • Experience integrating SAP, Oracle E-Biz, or Workday Financials.

  • Exposure to BI tools (Power BI, Tableau) and semantic layers (Cube, ThoughtSpot).

  • 2 stage interview process (1 Bristlecone, 1 end client). 1 st stage as early as Friday, need people to submit within 24 hours.

One address, no account. We’ll tell you when matching roles go live.

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