Apache Spark jobs in 2026 — demand, top roles hiring, and related skills

As of 2026-09-30, Apache Spark appears in 2,243 job postings indexed by Skillenai over the past 90 days — Data Engineer has the most postings mentioning Apache Spark.

Last updated · 90d ending 2026-09-30

Postings · last 90 days
2,243
Top role · 25.9% of skill postings
Top hiring metro
Bengaluru

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Frequently asked questions about Apache Spark

+Is Apache Spark in demand in 2026?

Yes. Apache Spark appears in 2,243 job postings indexed by Skillenai over the 90 days ending 2026-09-30. Data Engineer accounts for the most postings mentioning Apache Spark (25.9% of all postings mentioning Apache Spark).

+What jobs require Apache Spark?

According to the Skillenai jobs index over the 90 days ending 2026-09-30, among roles with at least 20 postings, the highest shares mentioning Apache Spark are Senior Data Engineer (25.0% of that role’s postings mention Apache Spark), Field Engineering Manager (22.9% of that role’s postings mention Apache Spark), Solution Engineer (20.4% of that role’s postings mention Apache Spark).

+What skills are commonly paired with Apache Spark?

Across job postings indexed by Skillenai (90 days ending 2026-09-30), Apache Spark most often appears alongside Python, SQL, AWS, Java, Databricks.

+Where is Apache Spark most in demand?

As of 2026-09-30, the metro areas posting the most jobs requiring Apache Spark are Bengaluru, New York City, London, Pune, Singapore, according to the Skillenai jobs index.

+How can I keep up with new Apache Spark content and jobs?

Skillenai indexes news, blog posts, and research papers mentioning Apache Spark alongside the jobs index. You can subscribe to a daily email digest of new Apache Spark content from your Skillenai account.

+Which skills come before and after Apache Spark?

The skill-flow chart shows skills documented in adjacent positions across observed employer changes. An outgoing skill is documented in the following position but not the preceding one. These are ideas to explore, not proven prerequisites, acquisition dates, or levels of mastery. Each ribbon counts employer moves with that skill pair; one move can contribute several pairs.

Weekly indexed postings requiring Apache Spark — last 90 days

Salary distribution

Box = 25th–75th percentile · tick = median · whisker = 10th–90th · USD, annualized

Career paths around Apache Spark

Skills documented before and after this skill across employer changes.

Historical career profiles · all locations

Skills before Apache Spark

Before Apache Sparkpython → Apache Spark: 113 observed employer moves with this skill pairsql → Apache Spark: 72 observed employer moves with this skill pairPower BI → Apache Spark: 58 observed employer moves with this skill pairTableau → Apache Spark: 55 observed employer moves with this skill pairspark → Apache Spark: 42 observed employer moves with this skill pairsnowflake → Apache Spark: 41 observed employer moves with this skill pairPySpark → Apache Spark: 34 observed employer moves with this skill pairETL → Apache Spark: 32 observed employer moves with this skill pairApache Sparkpython: 113 movespython113 movessql: 72 movessql72 movesPower BI: 58 movesPower BI58 movesTableau: 55 movesTableau55 movesspark: 42 movesspark42 movessnowflake: 41 movessnowflake41 movesPySpark: 34 movesPySpark34 movesETL: 32 movesETL32 moves

Skills after Apache Spark

After Apache SparkApache Spark → python: 60 observed employer moves with this skill pairApache Spark → snowflake: 49 observed employer moves with this skill pairApache Spark → PySpark: 44 observed employer moves with this skill pairApache Spark → Power BI: 44 observed employer moves with this skill pairApache Spark → sql: 43 observed employer moves with this skill pairApache Spark → databricks: 37 observed employer moves with this skill pairApache Spark → Tableau: 36 observed employer moves with this skill pairApache Spark → Apache Airflow: 36 observed employer moves with this skill pairApache Sparkpython: 60 movespython60 movessnowflake: 49 movessnowflake49 movesPySpark: 44 movesPySpark44 movesPower BI: 44 movesPower BI44 movessql: 43 movessql43 movesdatabricks: 37 movesdatabricks37 movesTableau: 36 movesTableau36 movesApache Airflow: 36 movesApache Airflow36 moves
How to read this chart · view counts

Each side is an independent set of observed employer moves, not the same people followed through three stages. Ribbon widths compare move counts within that side. Internal moves are not included.

The following position documents a skill that the preceding position does not. Skills must be linked to both positions, with clear dates and no overlap. One move can connect several skill pairs. These patterns suggest skills to explore; they do not establish prerequisites, when a skill was learned, or a higher skill level.

Source: Skillenai talent graph, historical career profiles. Historical descriptions and coverage can change. Only the leading published connections are shown.

Observed connections and move counts
ConnectionMoves
Before: python113
Before: sql72
Before: Power BI58
Before: Tableau55
Before: spark42
Before: snowflake41
Before: PySpark34
Before: ETL32
After: python60
After: snowflake49
After: PySpark44
After: Power BI44
After: sql43
After: databricks37
After: Tableau36
After: Apache Airflow36

Roles most likely to require Apache Spark

Among roles with at least 20 postings in the same period.

RolePostings mentioning skill% of role postings mentioning skill
Senior Data Engineer925.0%
Field Engineering Manager822.9%
Solution Engineer5020.4%
Big Data Engineer1120.4%
Cloud Data Engineer1119.6%
Partner Solutions Architect517.9%
Developer Relations Manager617.1%
Actuarial Analyst314.3%
Data Infrastructure Engineer413.8%
Delivery Solutions Architect713.7%

Roles with the most Apache Spark postings

RolePostings mentioning skillShare of skill postings
Data Engineer58125.9%
Software Engineer35215.7%
Solutions Architect1808.0%
Data Scientist1044.6%
Forward Deployed Engineer873.9%
Machine Learning Engineer683.0%
Solution Engineer502.2%
Engineering Manager391.7%
Data Architect381.7%
AI Engineer371.6%

Top companies posting jobs requiring Apache Spark

Employers ranked by indexed job postings in the last 90 days.

Top companies posting jobs requiring Apache Spark
CompanyPostings · 90 days
Databricks406
Snowflake60
Mastercard32
Cisco29
Grab22
Roku19
Barclays17
Capital One15
Sopra Steria14
CLERA14

Job postings indexed over the past 90 days, grouped by resolved employer. Counts are postings, not hires. Companies without a published page appear without a link.

Top metros hiring for Apache Spark

NamePostingsShare
Bengaluru954.2%
New York City673.0%
London502.2%
Pune452.0%
Singapore431.9%
San Francisco421.9%
Amsterdam401.8%
Hyderabad381.7%
Mountain View341.5%

Skills commonly paired with Apache Spark

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How this was computed

Counts derive from the Skillenai jobs index over the 90 days ending 2026-09-30. Skills are resolved against the Skillenai canonical taxonomy, so the same entity is counted whether a posting writes 'Python', 'Python 3', or 'python'. Role prevalence divides postings mentioning Apache Spark by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s Apache Spark postings by all Apache Spark postings, including postings without a role. Shares need not sum to 100% for the displayed roles. Pages refresh weekly (or daily for the top-50 most-requested skills). An adjusted trend is not shown because comparable posting coverage is insufficient.

source
Skillenai jobs index, deduplicated daily
entity_id
8941fbaa6b04f7b4
data_as_of
2026-09-30
window_days
90
Hiring engineers who use Apache Spark?

The demand, skills, and geo numbers on this page come from the same Skillenai labor market index that powers our API. Use it for compensation benchmarking, hiring-competition analysis, and skill-adoption tracking.

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Compiled by Jared Rand · Data sourced from the Skillenai labor market index