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AWS Step Functions jobs in 2026 — demand, top roles hiring, and related skills

As of 2026-10-29, AWS Step Functions appears in 399 job postings indexed by Skillenai over the past 90 days — Software Engineer has the most postings mentioning AWS Step Functions, with demand share up 2.7% vs the prior 4 weeks.

Last updated · 90d ending 2026-10-29

Postings · last 90 days
399
Demand vs prior month
up 2.7% vs the prior 4 weeks
Top role · 25.8% of skill postings
Software Engineer
Top hiring metro
New York City

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Frequently asked questions about AWS Step Functions

+Is AWS Step Functions in demand in 2026?

Yes. AWS Step Functions appears in 399 job postings indexed by Skillenai over the 90 days ending 2026-10-29. Software Engineer accounts for the most postings mentioning AWS Step Functions (25.8% of all postings mentioning AWS Step Functions).

+What jobs require AWS Step Functions?

According to the Skillenai jobs index over the 90 days ending 2026-10-29, among roles with at least 20 postings, the highest shares mentioning AWS Step Functions are AWS Cloud Engineer (11.1% of that role’s postings mention AWS Step Functions), Integration Developer (3.5% of that role’s postings mention AWS Step Functions), Senior Data Engineer (3.4% of that role’s postings mention AWS Step Functions).

+What skills are commonly paired with AWS Step Functions?

Across job postings indexed by Skillenai (90 days ending 2026-10-29), AWS Step Functions most often appears alongside AWS Lambda, Python, AWS, Amazon S3, SQL.

+Where is AWS Step Functions most in demand?

As of 2026-10-29, the metro areas posting the most jobs requiring AWS Step Functions are New York City, Hyderabad, London, Pune, Amsterdam, according to the Skillenai jobs index.

+How can I keep up with new AWS Step Functions content and jobs?

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

+Which skills come before and after AWS Step Functions?

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 AWS Step Functions — last 90 days

Salary distribution

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

Career paths around AWS Step Functions

Skills documented before and after this skill across employer changes.

Historical career profiles · all locations

Skills before AWS Step Functions

Before AWS Step Functionspython → AWS Step Functions: 21 observed employer moves with this skill pairsnowflake → AWS Step Functions: 15 observed employer moves with this skill pairHive → AWS Step Functions: 12 observed employer moves with this skill pairPySpark → AWS Step Functions: 12 observed employer moves with this skill pairsql → AWS Step Functions: 10 observed employer moves with this skill pairHadoop → AWS Step Functions: 10 observed employer moves with this skill pairAWS → AWS Step Functions: 10 observed employer moves with this skill pairAzure Data Factory → AWS Step Functions: 10 observed employer moves with this skill pairAWS StepFunctionspython: 21 movespython21 movessnowflake: 15 movessnowflake15 movesHive: 12 movesHive12 movesPySpark: 12 movesPySpark12 movessql: 10 movessql10 movesHadoop: 10 movesHadoop10 movesAWS: 10 movesAWS10 movesAzure Data Factory: 10 movesAzure Data Factory10 moves

Skills after AWS Step Functions

After AWS Step FunctionsAWS Step Functions → snowflake: 8 observed employer moves with this skill pairAWS Step Functions → Azure Data Factory: 7 observed employer moves with this skill pairAWS Step Functions → ETL: 7 observed employer moves with this skill pairAWS Step Functions → python: 6 observed employer moves with this skill pairAWS Step Functions → sql: 6 observed employer moves with this skill pairAWS Step Functions → Azure Databricks: 5 observed employer moves with this skill pairAWS Step Functions → Tableau: 5 observed employer moves with this skill pairAWS Step Functions → PySpark: 5 observed employer moves with this skill pairAWS StepFunctionssnowflake: 8 movessnowflake8 movesAzure Data Factory: 7 movesAzure Data Factory7 movesETL: 7 movesETL7 movespython: 6 movespython6 movessql: 6 movessql6 movesAzure Databricks: 5 movesAzure Databricks5 movesTableau: 5 movesTableau5 movesPySpark: 5 movesPySpark5 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: python21
Before: snowflake15
Before: Hive12
Before: PySpark12
Before: sql10
Before: Hadoop10
Before: AWS10
Before: Azure Data Factory10
After: snowflake8
After: Azure Data Factory7
After: ETL7
After: python6
After: sql6
After: Azure Databricks5
After: Tableau5
After: PySpark5

Roles most likely to require AWS Step Functions

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

RolePostings mentioning skill% of role postings mentioning skill
AWS Cloud Engineer311.1%
Integration Developer23.5%
Senior Data Engineer13.4%
Cloud Developer23.3%
Lead Data Engineer22.7%
Systems Analyst12.6%
Application Developer22.5%
MLOps Engineer42.2%
Python Developer32.1%
Cloud Data Engineer12.0%

Roles with the most AWS Step Functions postings

RolePostings mentioning skillShare of skill postings
Software Engineer10325.8%
Data Engineer10225.6%
Full Stack Engineer102.5%
DevOps Engineer82.0%
Backend Engineer71.8%
Platform Engineer71.8%
AWS Data Engineer61.5%
Analytics Engineer61.5%
Engineering Manager61.5%
Data Platform Engineer51.3%

Top companies posting jobs requiring AWS Step Functions

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

Top companies posting jobs requiring AWS Step Functions
CompanyPostings · 90 days
Barclays11
ABOUT YOU SE & Co. KG11
Experian11
Torcrobotics8
Vanguard8
Scale AI8
MSD8
Adyen7
Elsevier6
Roche5

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 AWS Step Functions

NamePostingsShare
New York City184.5%
Hyderabad143.5%
London92.3%
Pune92.3%
Amsterdam82.0%
Bengaluru61.5%
Hamburg61.5%
McLean51.3%
San Francisco51.3%

Skills commonly paired with AWS Step Functions

AWS Lambda (293)Python (258)AWS (153)Amazon S3 (151)SQL (146)CI/CD (133)AWS Glue (132)Terraform (106)ETL (85)Java (66)

Explore related pages

How this was computed

Weekly job-count charts omit the incomplete current week (weeks start Monday, UTC). Totals include all postings in the stated window. Counts derive from the Skillenai jobs index over the 90 days ending 2026-10-29. 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 AWS Step Functions by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s AWS Step Functions postings by all AWS Step Functions 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). Adjusted posting share: 0.1% to 0.2%. Demand share change is the relative percentage change between these adjusted shares. Each employer-and-ATS group has at least 10 postings in each 90-day window; its earlier posting count supplies the same weight in both windows. The panel includes 2,482 identified employers and covers 71% of earlier and 70% of latest indexed postings. Windows: 2026-06-30 to 2026-09-28 and 2026-07-28 to 2026-10-26 (UTC; end dates excluded). The windows overlap by 62 days. Dates reflect indexing, not the employer’s posting date. This measures posting mix, not total hiring or market-wide demand. Matching excludes entrants and exits; changes in crawl completeness within an employer or ATS can still affect the result.

source
Skillenai jobs index, deduplicated daily
entity_id
580769bb3c9a4809
data_as_of
2026-10-29
window_days
90
Compiled by Jared Rand · Data sourced from the Skillenai labor market index