Spark: Market Demand & Career Impact (2026)

Updated May 08, 2026 · Based on 975 job listings · Primary category signal: Data & Analytics (4.6%)

Demand by Role Category

Who's Asking for Spark?

Top roles: Full Stack Developer (291), Data Engineer (151), ML Engineer (56), Product Manager (41), Data Scientist (36)

Top companies: databricks (254), robinhood (79), affirm (27), pinterest (21), reddit (20)

Seniority breakdown: senior: 69.6% · mid: 29.0% · entry: 1.4%

Commonly Paired With

Skills that appear alongside Spark most frequently:

• Databricks — 39.4% co-occurrence
• Excel — 37.9% co-occurrence
• Python — 36.9% co-occurrence
• SQL — 33.8% co-occurrence
• Scala — 32.7% co-occurrence
• Node.js — 31.4% co-occurrence
• AWS — 29.4% co-occurrence
• Mlflow — 29.0% co-occurrence

Salary Signal

For roles requiring Spark, published pay clusters around a $91,515 median, spanning $65,000 (25th percentile) to $175,000 (75th percentile), with top-end listings reaching $285,000.

Based on 153 listings with published compensation.

Trend

Spark appears across 975 active job listings, with its strongest presence in Data & Analytics at 4.6% of postings in that category. Demand has pulled back across all four tracked categories over the past 30 days, with drops ranging from 3.0 percentage points in Product & Design to 6.3 percentage points in Data & Analytics. The seniority mix tells a clear story — 69.6% of Spark roles are senior-level, signalling that employers treat this as an advanced, specialist skill rather than an entry-level requirement.

Frequently Asked Questions

How in demand is Spark right now?

Spark is actively sought across 975 job listings, appearing in Data & Analytics, Software Engineering, AI & Machine Learning and Product & Design roles. Demand has softened in the past 30 days across every category, with the sharpest decline in Data & Analytics at -6.3 percentage points. Despite this short-term dip, Spark remains a meaningful requirement in data-heavy hiring, particularly for Data Engineer and ML Engineer positions.

What salary can I expect if I know Spark?

Spark professionals can expect a median salary of $91,515 based on 153 listings with published pay. The full compensation range runs from $65,000 to $175,000, reflecting the wide spread between mid-level and senior roles. Given that 69.6% of Spark postings target senior candidates, those with deeper experience are well-positioned to push toward the higher end of that range.

What skills pair well with Spark?

Spark pairs most frequently with Python, SQL, Databricks and Excel in job postings. Python and SQL are foundational data engineering tools that appear alongside Spark across a broad range of roles. Databricks proficiency is particularly relevant given its tight integration with Spark, making it a high-value addition for anyone targeting Data Engineer or ML Engineer positions.

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Data sourced from 975 active job listings via Greenhouse, Lever and Ashby. Updated weekly. About our data & methodology.