diff --git a/docs/spelling_wordlist.txt b/docs/spelling_wordlist.txt
index e9574a359266f..22f32d8405199 100644
--- a/docs/spelling_wordlist.txt
+++ b/docs/spelling_wordlist.txt
@@ -1101,6 +1101,7 @@ muldelete
 Multinamespace
 mutex
 mv
+mwaa
 mypy
 Mysql
 mysql
diff --git a/providers/amazon/docs/operators/mwaa.rst b/providers/amazon/docs/operators/mwaa.rst
new file mode 100644
index 0000000000000..021998b0a10ed
--- /dev/null
+++ b/providers/amazon/docs/operators/mwaa.rst
@@ -0,0 +1,64 @@
+ .. Licensed to the Apache Software Foundation (ASF) under one
+    or more contributor license agreements.  See the NOTICE file
+    distributed with this work for additional information
+    regarding copyright ownership.  The ASF licenses this file
+    to you under the Apache License, Version 2.0 (the
+    "License"); you may not use this file except in compliance
+    with the License.  You may obtain a copy of the License at
+
+ ..   http://www.apache.org/licenses/LICENSE-2.0
+
+ .. Unless required by applicable law or agreed to in writing,
+    software distributed under the License is distributed on an
+    "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+    KIND, either express or implied.  See the License for the
+    specific language governing permissions and limitations
+    under the License.
+
+==================================================
+Amazon Managed Workflows for Apache Airflow (MWAA)
+==================================================
+
+`Amazon Managed Workflows for Apache Airflow (MWAA) <https://aws.amazon.com/managed-workflows-for-apache-airflow/>`__
+is a managed service for Apache Airflow that lets you use your current, familiar Apache Airflow platform to orchestrate
+your workflows. You gain improved scalability, availability, and security without the operational burden of managing
+underlying infrastructure.
+
+Prerequisite Tasks
+------------------
+
+.. include:: ../_partials/prerequisite_tasks.rst
+
+Generic Parameters
+------------------
+
+.. include:: ../_partials/generic_parameters.rst
+
+Operators
+---------
+
+.. _howto/operator:MwaaTriggerDagRunOperator:
+
+Trigger a DAG run in an Amazon MWAA environment
+===============================================
+
+To trigger a DAG run in an Amazon MWAA environment you can use the
+:class:`~airflow.providers.amazon.aws.operators.mwaa.MwaaTriggerDagRunOperator`
+
+Note: Unlike :class:`~airflow.providers.standard.operators.trigger_dagrun.TriggerDagRunOperator`, this operator is capable of
+triggering a DAG in a separate Airflow environment as long as the environment with the DAG being triggered is running on
+AWS MWAA.
+
+In the following example, the task ``trigger_dag_run`` triggers a dag run for a DAG with with the ID ``hello_world`` in
+the environment ``MyAirflowEnvironment``.
+
+.. exampleinclude:: /../../providers/amazon/tests/system/amazon/aws/example_mwaa.py
+    :language: python
+    :dedent: 4
+    :start-after: [START howto_operator_mwaa_trigger_dag_run]
+    :end-before: [END howto_operator_mwaa_trigger_dag_run]
+
+References
+----------
+
+* `AWS boto3 library documentation for MWAA <https://boto3.amazonaws.com/v1/documentation/api/latest/reference/services/mwaa.html>`__
diff --git a/providers/amazon/provider.yaml b/providers/amazon/provider.yaml
index 3310ec331e2de..b96f9ea8ebf6e 100644
--- a/providers/amazon/provider.yaml
+++ b/providers/amazon/provider.yaml
@@ -392,6 +392,9 @@ operators:
   - integration-name: Amazon Managed Service for Apache Flink
     python-modules:
       - airflow.providers.amazon.aws.operators.kinesis_analytics
+  - integration-name: Amazon Managed Workflows for Apache Airflow (MWAA)
+    python-modules:
+      - airflow.providers.amazon.aws.operators.mwaa
   - integration-name: Amazon Simple Storage Service (S3)
     python-modules:
       - airflow.providers.amazon.aws.operators.s3
@@ -600,6 +603,9 @@ hooks:
   - integration-name: Amazon CloudWatch Logs
     python-modules:
       - airflow.providers.amazon.aws.hooks.logs
+  - integration-name: Amazon Managed Workflows for Apache Airflow (MWAA)
+    python-modules:
+      - airflow.providers.amazon.aws.hooks.mwaa
   - integration-name: Amazon OpenSearch Serverless
     python-modules:
       - airflow.providers.amazon.aws.hooks.opensearch_serverless
diff --git a/providers/amazon/src/airflow/providers/amazon/aws/hooks/mwaa.py b/providers/amazon/src/airflow/providers/amazon/aws/hooks/mwaa.py
new file mode 100644
index 0000000000000..d7f01238e6ab8
--- /dev/null
+++ b/providers/amazon/src/airflow/providers/amazon/aws/hooks/mwaa.py
@@ -0,0 +1,85 @@
+# Licensed to the Apache Software Foundation (ASF) under one
+# or more contributor license agreements.  See the NOTICE file
+# distributed with this work for additional information
+# regarding copyright ownership.  The ASF licenses this file
+# to you under the Apache License, Version 2.0 (the
+# "License"); you may not use this file except in compliance
+# with the License.  You may obtain a copy of the License at
+#
+#   http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing,
+# software distributed under the License is distributed on an
+# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+# KIND, either express or implied.  See the License for the
+# specific language governing permissions and limitations
+# under the License.
+"""This module contains AWS MWAA hook."""
+
+from __future__ import annotations
+
+from botocore.exceptions import ClientError
+
+from airflow.providers.amazon.aws.hooks.base_aws import AwsBaseHook
+
+
+class MwaaHook(AwsBaseHook):
+    """
+    Interact with AWS Manager Workflows for Apache Airflow.
+
+    Provide thin wrapper around :external+boto3:py:class:`boto3.client("mwaa") <MWAA.Client>`
+
+    Additional arguments (such as ``aws_conn_id``) may be specified and
+    are passed down to the underlying AwsBaseHook.
+
+    .. seealso::
+        - :class:`airflow.providers.amazon.aws.hooks.base_aws.AwsBaseHook`
+    """
+
+    def __init__(self, *args, **kwargs) -> None:
+        kwargs["client_type"] = "mwaa"
+        super().__init__(*args, **kwargs)
+
+    def invoke_rest_api(
+        self,
+        env_name: str,
+        path: str,
+        method: str,
+        body: dict | None = None,
+        query_params: dict | None = None,
+    ) -> dict:
+        """
+        Invoke the REST API on the Airflow webserver with the specified inputs.
+
+        .. seealso::
+            - :external+boto3:py:meth:`MWAA.Client.invoke_rest_api`
+
+        :param env_name: name of the MWAA environment
+        :param path: Apache Airflow REST API endpoint path to be called
+        :param method: HTTP method used for making Airflow REST API calls
+        :param body: Request body for the Apache Airflow REST API call
+        :param query_params: Query parameters to be included in the Apache Airflow REST API call
+        """
+        body = body or {}
+        api_kwargs = {
+            "Name": env_name,
+            "Path": path,
+            "Method": method,
+            # Filter out keys with None values because Airflow REST API doesn't accept requests otherwise
+            "Body": {k: v for k, v in body.items() if v is not None},
+            "QueryParameters": query_params if query_params else {},
+        }
+        try:
+            result = self.conn.invoke_rest_api(**api_kwargs)
+            # ResponseMetadata is removed because it contains data that is either very unlikely to be useful
+            # in XComs and logs, or redundant given the data already included in the response
+            result.pop("ResponseMetadata", None)
+            return result
+        except ClientError as e:
+            to_log = e.response
+            # ResponseMetadata and Error are removed because they contain data that is either very unlikely to
+            # be useful in XComs and logs, or redundant given the data already included in the response
+            to_log.pop("ResponseMetadata", None)
+            to_log.pop("Error", None)
+            self.log.error(to_log)
+            raise e
diff --git a/providers/amazon/src/airflow/providers/amazon/aws/operators/mwaa.py b/providers/amazon/src/airflow/providers/amazon/aws/operators/mwaa.py
new file mode 100644
index 0000000000000..42f1038f2c5cb
--- /dev/null
+++ b/providers/amazon/src/airflow/providers/amazon/aws/operators/mwaa.py
@@ -0,0 +1,109 @@
+# Licensed to the Apache Software Foundation (ASF) under one
+# or more contributor license agreements.  See the NOTICE file
+# distributed with this work for additional information
+# regarding copyright ownership.  The ASF licenses this file
+# to you under the Apache License, Version 2.0 (the
+# "License"); you may not use this file except in compliance
+# with the License.  You may obtain a copy of the License at
+#
+#   http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing,
+# software distributed under the License is distributed on an
+# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+# KIND, either express or implied.  See the License for the
+# specific language governing permissions and limitations
+# under the License.
+"""This module contains AWS MWAA operators."""
+
+from __future__ import annotations
+
+from collections.abc import Sequence
+from typing import TYPE_CHECKING
+
+from airflow.providers.amazon.aws.hooks.mwaa import MwaaHook
+from airflow.providers.amazon.aws.operators.base_aws import AwsBaseOperator
+from airflow.providers.amazon.aws.utils.mixins import aws_template_fields
+
+if TYPE_CHECKING:
+    from airflow.utils.context import Context
+
+
+class MwaaTriggerDagRunOperator(AwsBaseOperator[MwaaHook]):
+    """
+    Trigger a Dag Run for a Dag in an Amazon MWAA environment.
+
+    .. seealso::
+        For more information on how to use this operator, take a look at the guide:
+        :ref:`howto/operator:MwaaTriggerDagRunOperator`
+
+    :param env_name: The MWAA environment name (templated)
+    :param trigger_dag_id: The ID of the DAG to be triggered (templated)
+    :param trigger_run_id: The Run ID. This together with trigger_dag_id are a unique key. (templated)
+    :param logical_date: The logical date (previously called execution date). This is the time or interval
+        covered by this DAG run, according to the DAG definition. This together with trigger_dag_id are a
+        unique key. (templated)
+    :param data_interval_start: The beginning of the interval the DAG run covers
+    :param data_interval_end: The end of the interval the DAG run covers
+    :param conf: Additional configuration parameters. The value of this field can be set only when creating
+        the object. (templated)
+    :param note: Contains manually entered notes by the user about the DagRun. (templated)
+    """
+
+    aws_hook_class = MwaaHook
+    template_fields: Sequence[str] = aws_template_fields(
+        "env_name",
+        "trigger_dag_id",
+        "trigger_run_id",
+        "logical_date",
+        "data_interval_start",
+        "data_interval_end",
+        "conf",
+        "note",
+    )
+    template_fields_renderers = {"conf": "json"}
+
+    def __init__(
+        self,
+        *,
+        env_name: str,
+        trigger_dag_id: str,
+        trigger_run_id: str | None = None,
+        logical_date: str | None = None,
+        data_interval_start: str | None = None,
+        data_interval_end: str | None = None,
+        conf: dict | None = None,
+        note: str | None = None,
+        **kwargs,
+    ):
+        super().__init__(**kwargs)
+        self.env_name = env_name
+        self.trigger_dag_id = trigger_dag_id
+        self.trigger_run_id = trigger_run_id
+        self.logical_date = logical_date
+        self.data_interval_start = data_interval_start
+        self.data_interval_end = data_interval_end
+        self.conf = conf if conf else {}
+        self.note = note
+
+    def execute(self, context: Context) -> dict:
+        """
+        Trigger a Dag Run for the Dag in the Amazon MWAA environment.
+
+        :param context: the Context object
+        :return: dict with information about the Dag run
+            For details of the returned dict, see :py:meth:`botocore.client.MWAA.invoke_rest_api`
+        """
+        return self.hook.invoke_rest_api(
+            env_name=self.env_name,
+            path=f"/dags/{self.trigger_dag_id}/dagRuns",
+            method="POST",
+            body={
+                "dag_run_id": self.trigger_run_id,
+                "logical_date": self.logical_date,
+                "data_interval_start": self.data_interval_start,
+                "data_interval_end": self.data_interval_end,
+                "conf": self.conf,
+                "note": self.note,
+            },
+        )
diff --git a/providers/amazon/src/airflow/providers/amazon/get_provider_info.py b/providers/amazon/src/airflow/providers/amazon/get_provider_info.py
index 217f618c8667c..e6e8020185633 100644
--- a/providers/amazon/src/airflow/providers/amazon/get_provider_info.py
+++ b/providers/amazon/src/airflow/providers/amazon/get_provider_info.py
@@ -478,6 +478,10 @@ def get_provider_info():
                 "integration-name": "Amazon Managed Service for Apache Flink",
                 "python-modules": ["airflow.providers.amazon.aws.operators.kinesis_analytics"],
             },
+            {
+                "integration-name": "Amazon Managed Workflows for Apache Airflow (MWAA)",
+                "python-modules": ["airflow.providers.amazon.aws.operators.mwaa"],
+            },
             {
                 "integration-name": "Amazon Simple Storage Service (S3)",
                 "python-modules": ["airflow.providers.amazon.aws.operators.s3"],
@@ -747,6 +751,10 @@ def get_provider_info():
                 "integration-name": "Amazon CloudWatch Logs",
                 "python-modules": ["airflow.providers.amazon.aws.hooks.logs"],
             },
+            {
+                "integration-name": "Amazon Managed Workflows for Apache Airflow (MWAA)",
+                "python-modules": ["airflow.providers.amazon.aws.hooks.mwaa"],
+            },
             {
                 "integration-name": "Amazon OpenSearch Serverless",
                 "python-modules": ["airflow.providers.amazon.aws.hooks.opensearch_serverless"],
diff --git a/providers/amazon/tests/provider_tests/amazon/aws/hooks/test_mwaa.py b/providers/amazon/tests/provider_tests/amazon/aws/hooks/test_mwaa.py
new file mode 100644
index 0000000000000..5d8dc761c3334
--- /dev/null
+++ b/providers/amazon/tests/provider_tests/amazon/aws/hooks/test_mwaa.py
@@ -0,0 +1,130 @@
+# Licensed to the Apache Software Foundation (ASF) under one
+# or more contributor license agreements.  See the NOTICE file
+# distributed with this work for additional information
+# regarding copyright ownership.  The ASF licenses this file
+# to you under the Apache License, Version 2.0 (the
+# "License"); you may not use this file except in compliance
+# with the License.  You may obtain a copy of the License at
+#
+#   http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing,
+# software distributed under the License is distributed on an
+# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+# KIND, either express or implied.  See the License for the
+# specific language governing permissions and limitations
+# under the License.
+from __future__ import annotations
+
+from unittest import mock
+
+import pytest
+from botocore.exceptions import ClientError
+from moto import mock_aws
+
+from airflow.providers.amazon.aws.hooks.mwaa import MwaaHook
+
+ENV_NAME = "test_env"
+PATH = "/dags/test_dag/dagRuns"
+METHOD = "POST"
+QUERY_PARAMS = {"limit": 30}
+
+
+class TestMwaaHook:
+    def setup_method(self):
+        self.hook = MwaaHook()
+
+        # these example responses are included here instead of as a constant because the hook will mutate
+        # responses causing subsequent tests to fail
+        self.example_responses = {
+            "success": {
+                "ResponseMetadata": {
+                    "RequestId": "some ID",
+                    "HTTPStatusCode": 200,
+                    "HTTPHeaders": {"header1": "value1"},
+                    "RetryAttempts": 0,
+                },
+                "RestApiStatusCode": 200,
+                "RestApiResponse": {
+                    "conf": {},
+                    "dag_id": "hello_world",
+                    "dag_run_id": "manual__2025-02-08T00:33:09.457198+00:00",
+                    "data_interval_end": "2025-02-08T00:33:09.457198+00:00",
+                    "data_interval_start": "2025-02-08T00:33:09.457198+00:00",
+                    "execution_date": "2025-02-08T00:33:09.457198+00:00",
+                    "external_trigger": True,
+                    "logical_date": "2025-02-08T00:33:09.457198+00:00",
+                    "run_type": "manual",
+                    "state": "queued",
+                },
+            },
+            "failure": {
+                "Error": {"Message": "", "Code": "RestApiClientException"},
+                "ResponseMetadata": {
+                    "RequestId": "some ID",
+                    "HTTPStatusCode": 400,
+                    "HTTPHeaders": {"header1": "value1"},
+                    "RetryAttempts": 0,
+                },
+                "RestApiStatusCode": 404,
+                "RestApiResponse": {
+                    "detail": "DAG with dag_id: 'hello_world1' not found",
+                    "status": 404,
+                    "title": "DAG not found",
+                    "type": "https://airflow.apache.org/docs/apache-airflow/2.10.3/stable-rest-api-ref.html#section/Errors/NotFound",
+                },
+            },
+        }
+
+    def test_init(self):
+        assert self.hook.client_type == "mwaa"
+
+    @mock_aws
+    def test_get_conn(self):
+        assert self.hook.conn is not None
+
+    @pytest.mark.parametrize(
+        "body",
+        [
+            pytest.param(None, id="no_body"),
+            pytest.param({"conf": {}}, id="non_empty_body"),
+        ],
+    )
+    @mock.patch.object(MwaaHook, "conn")
+    def test_invoke_rest_api_success(self, mock_conn, body) -> None:
+        boto_invoke_mock = mock.MagicMock(return_value=self.example_responses["success"])
+        mock_conn.invoke_rest_api = boto_invoke_mock
+
+        retval = self.hook.invoke_rest_api(ENV_NAME, PATH, METHOD, body, QUERY_PARAMS)
+        kwargs_to_assert = {
+            "Name": ENV_NAME,
+            "Path": PATH,
+            "Method": METHOD,
+            "Body": body if body else {},
+            "QueryParameters": QUERY_PARAMS,
+        }
+        boto_invoke_mock.assert_called_once_with(**kwargs_to_assert)
+        assert retval == {
+            k: v for k, v in self.example_responses["success"].items() if k != "ResponseMetadata"
+        }
+
+    @mock.patch.object(MwaaHook, "conn")
+    def test_invoke_rest_api_failure(self, mock_conn) -> None:
+        error = ClientError(
+            error_response=self.example_responses["failure"], operation_name="invoke_rest_api"
+        )
+        boto_invoke_mock = mock.MagicMock(side_effect=error)
+        mock_conn.invoke_rest_api = boto_invoke_mock
+        mock_log = mock.MagicMock()
+        self.hook.log.error = mock_log
+
+        with pytest.raises(ClientError) as caught_error:
+            self.hook.invoke_rest_api(ENV_NAME, PATH, METHOD)
+
+        assert caught_error.value == error
+        expected_log = {
+            k: v
+            for k, v in self.example_responses["failure"].items()
+            if k != "ResponseMetadata" and k != "Error"
+        }
+        mock_log.assert_called_once_with(expected_log)
diff --git a/providers/amazon/tests/provider_tests/amazon/aws/operators/test_mwaa.py b/providers/amazon/tests/provider_tests/amazon/aws/operators/test_mwaa.py
new file mode 100644
index 0000000000000..27c11a95d4230
--- /dev/null
+++ b/providers/amazon/tests/provider_tests/amazon/aws/operators/test_mwaa.py
@@ -0,0 +1,80 @@
+# Licensed to the Apache Software Foundation (ASF) under one
+# or more contributor license agreements.  See the NOTICE file
+# distributed with this work for additional information
+# regarding copyright ownership.  The ASF licenses this file
+# to you under the Apache License, Version 2.0 (the
+# "License"); you may not use this file except in compliance
+# with the License.  You may obtain a copy of the License at
+#
+#   http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing,
+# software distributed under the License is distributed on an
+# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+# KIND, either express or implied.  See the License for the
+# specific language governing permissions and limitations
+# under the License.
+from __future__ import annotations
+
+from unittest import mock
+
+from airflow.providers.amazon.aws.operators.mwaa import MwaaTriggerDagRunOperator
+from provider_tests.amazon.aws.utils.test_template_fields import validate_template_fields
+
+OP_KWARGS = {
+    "task_id": "test_task",
+    "env_name": "test_env",
+    "trigger_dag_id": "test_dag_id",
+    "trigger_run_id": "test_run_id",
+    "logical_date": "2025-01-01T00:00:01Z",
+    "data_interval_start": "2025-01-02T00:00:01Z",
+    "data_interval_end": "2025-01-03T00:00:01Z",
+    "conf": {"key": "value"},
+    "note": "test note",
+}
+HOOK_RETURN_VALUE = {
+    "ResponseMetadata": {},
+    "RestApiStatusCode": 200,
+    "RestApiResponse": {
+        "dag_run_id": "manual__2025-02-08T00:33:09.457198+00:00",
+        "other_key": "value",
+    },
+}
+
+
+class TestMwaaTriggerDagRunOperator:
+    def test_init(self):
+        op = MwaaTriggerDagRunOperator(**OP_KWARGS)
+        assert op.env_name == OP_KWARGS["env_name"]
+        assert op.trigger_dag_id == OP_KWARGS["trigger_dag_id"]
+        assert op.trigger_run_id == OP_KWARGS["trigger_run_id"]
+        assert op.logical_date == OP_KWARGS["logical_date"]
+        assert op.data_interval_start == OP_KWARGS["data_interval_start"]
+        assert op.data_interval_end == OP_KWARGS["data_interval_end"]
+        assert op.conf == OP_KWARGS["conf"]
+        assert op.note == OP_KWARGS["note"]
+
+    @mock.patch.object(MwaaTriggerDagRunOperator, "hook")
+    def test_execute(self, mock_hook):
+        mock_hook.invoke_rest_api.return_value = HOOK_RETURN_VALUE
+        op = MwaaTriggerDagRunOperator(**OP_KWARGS)
+        op_ret_val = op.execute({})
+
+        mock_hook.invoke_rest_api.assert_called_once_with(
+            env_name=OP_KWARGS["env_name"],
+            path=f"/dags/{OP_KWARGS['trigger_dag_id']}/dagRuns",
+            method="POST",
+            body={
+                "dag_run_id": OP_KWARGS["trigger_run_id"],
+                "logical_date": OP_KWARGS["logical_date"],
+                "data_interval_start": OP_KWARGS["data_interval_start"],
+                "data_interval_end": OP_KWARGS["data_interval_end"],
+                "conf": OP_KWARGS["conf"],
+                "note": OP_KWARGS["note"],
+            },
+        )
+        assert op_ret_val == HOOK_RETURN_VALUE
+
+    def test_template_fields(self):
+        operator = MwaaTriggerDagRunOperator(**OP_KWARGS)
+        validate_template_fields(operator)
diff --git a/providers/amazon/tests/system/amazon/aws/example_mwaa.py b/providers/amazon/tests/system/amazon/aws/example_mwaa.py
new file mode 100644
index 0000000000000..5f178019f64e1
--- /dev/null
+++ b/providers/amazon/tests/system/amazon/aws/example_mwaa.py
@@ -0,0 +1,87 @@
+# Licensed to the Apache Software Foundation (ASF) under one
+# or more contributor license agreements.  See the NOTICE file
+# distributed with this work for additional information
+# regarding copyright ownership.  The ASF licenses this file
+# to you under the Apache License, Version 2.0 (the
+# "License"); you may not use this file except in compliance
+# with the License.  You may obtain a copy of the License at
+#
+#   http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing,
+# software distributed under the License is distributed on an
+# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+# KIND, either express or implied.  See the License for the
+# specific language governing permissions and limitations
+# under the License.
+from __future__ import annotations
+
+from datetime import datetime
+
+from providers.amazon.tests.system.amazon.aws.utils import SystemTestContextBuilder
+
+from airflow.models.baseoperator import chain
+from airflow.models.dag import DAG
+from airflow.providers.amazon.aws.operators.mwaa import MwaaTriggerDagRunOperator
+
+DAG_ID = "example_mwaa"
+
+# Externally fetched variables:
+EXISTING_ENVIRONMENT_NAME_KEY = "ENVIRONMENT_NAME"
+EXISTING_DAG_ID_KEY = "DAG_ID"
+
+
+sys_test_context_task = (
+    SystemTestContextBuilder()
+    # NOTE: Creating a functional MWAA environment is time-consuming and requires
+    # manually creating and configuring an S3 bucket for DAG storage and a VPC with
+    # private subnets which is out of scope for this demo. To simplify this demo and
+    # make it run in a reasonable time, an existing MWAA environment already
+    # containing a DAG is required.
+    # Here's a quick start guide to create an MWAA environment using AWS CloudFormation:
+    # https://docs.aws.amazon.com/mwaa/latest/userguide/quick-start.html
+    # If creating the environment using the AWS console, make sure to have a VPC with
+    # at least 1 private subnet to be able to select the VPC while going through the
+    # environment creation steps in the console wizard.
+    # Make sure to set the environment variables with appropriate values
+    .add_variable(EXISTING_ENVIRONMENT_NAME_KEY)
+    .add_variable(EXISTING_DAG_ID_KEY)
+    .build()
+)
+
+with DAG(
+    dag_id=DAG_ID,
+    schedule="@once",
+    start_date=datetime(2021, 1, 1),
+    tags=["example"],
+    catchup=False,
+) as dag:
+    test_context = sys_test_context_task()
+    env_name = test_context[EXISTING_ENVIRONMENT_NAME_KEY]
+    trigger_dag_id = test_context[EXISTING_DAG_ID_KEY]
+
+    # [START howto_operator_mwaa_trigger_dag_run]
+    trigger_dag_run = MwaaTriggerDagRunOperator(
+        task_id="trigger_dag_run",
+        env_name=env_name,
+        trigger_dag_id=trigger_dag_id,
+    )
+    # [END howto_operator_mwaa_trigger_dag_run]
+
+    chain(
+        # TEST SETUP
+        test_context,
+        # TEST BODY
+        trigger_dag_run,
+    )
+
+    from tests_common.test_utils.watcher import watcher
+
+    # This test needs watcher in order to properly mark success/failure
+    # when "tearDown" task with trigger rule is part of the DAG
+    list(dag.tasks) >> watcher()
+
+from tests_common.test_utils.system_tests import get_test_run  # noqa: E402
+
+# Needed to run the example DAG with pytest (see: tests/system/README.md#run_via_pytest)
+test_run = get_test_run(dag)