Big Data Lead
Fa Etqo Saasfaprod1 Open United States Senior Data Engineering
At a glance
Senior Data Engineering role at Fa Etqo Saasfaprod1. United States · no salary stated · we estimate $142,325–$192,038 across the United States.
Estimated pay
Fa Etqo Saasfaprod1 has not published a salary for this role. The figure below is our estimate, not theirs.
$142,325 – $192,038
What the middle half of senior data engineering roles in the United States paid, among postings that did state a salary.
Worked out from 526 postings that stated pay, median $162,500. Last updated Nov 6, 2026.
RoleData Engineering
SenioritySenior
LocationUnited States
PostedOct 2, 2026
Role brief
dataroles summary, based on the employer's posting.
What you'll do
- Process data and build engineering or analytics workflows in Azure Databricks
- Use Power BI, Tableau and Excel to explore data and prepare analyses
- Work through complex data sets and turn them into clear insights for business stakeholders
What you bring
- Hands-on Azure Databricks work in data processing, engineering or analytics
- Experience with SQL and Python, along with Power BI, Tableau and Excel
- Strong analytical and quantitative judgment, plus written and verbal communication skills
Who this fits
This role suits someone who can explain complex data clearly and handle several priorities while meeting deadlines. You should be proactive, self-directed and interested in ongoing learning and improvement.
From the employer
Hands-on experience with Azure Databricks for data processing, data engineering, or analytics workflows. Experience in Power BI, Tableau, and Excel (pivot tables, advanced formulas, Power Query, etc.). Python experience Hands-on experience with SQL, Strong analytical, quantitative, and problem-solving abilities. Ability to work with complex data sets and deliver clear insights to business stakeholders. Excellent communication skills, both written and verbal. Ability to manage multiple priorities and meet deadlines in a fast-paced environment. Proactive and self-driven with a passion for learning and continuous improvement
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Data Engineering
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