diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md
index 9494814b5..142fe571c 100644
--- a/CONTRIBUTING.md
+++ b/CONTRIBUTING.md
@@ -72,7 +72,7 @@ cd connector
 sbt assembly
 ```
 
-Running this will run all unit tests and build the jar to target/scala-2.12/spark-vertica-connector-assembly-3.3.0.jar
+Running this will run all unit tests and build the jar to target/scala-2.12/spark-vertica-connector-assembly-3.3.1.jar
 
 ## Step 4: Set up an environment
 The easiest way to set up an environment is to spin up the docker containers for a sandbox client environment and single-node clusters for both Vertica and HDFS following [this guide.](https://github.com/vertica/spark-connector/blob/main/examples/README.md)
@@ -88,7 +88,7 @@ The next requirement is a spark application that uses the connector jar. Example
 ```shell
 cd examples/basic-read
 mkdir lib
-cp ../../connector/target/scala-2.12/spark-vertica-connector-assembly-3.3.0.jar lib
+cp ../../connector/target/scala-2.12/spark-vertica-connector-assembly-3.3.1.jar lib
 sbt run
 ```
 
diff --git a/examples/kerberos-example/README.md b/examples/kerberos-example/README.md
index 510bda91f..35e39a144 100644
--- a/examples/kerberos-example/README.md
+++ b/examples/kerberos-example/README.md
@@ -20,7 +20,7 @@ sbt assembly
 Then create a `lib` folder at `/kerberos-example` and put the spark connector that you assembled inside.
 ```
 mkdir /spark-connector/examples/kerberos-example/lib
-cp /spark-connector/connector/target/scala-2.12/spark-vertica-connector-assembly-3.3.0.jar /spark-connector/examples/kerberos-example/lib
+cp /spark-connector/connector/target/scala-2.12/spark-vertica-connector-assembly-3.3.1.jar /spark-connector/examples/kerberos-example/lib
 ```
 Then in the example's `build.sbt`, comment out the vertica-spark connector dependency.
 
diff --git a/examples/sparklyr/run.r b/examples/sparklyr/run.r
index ae3426761..b4c4d2259 100644
--- a/examples/sparklyr/run.r
+++ b/examples/sparklyr/run.r
@@ -6,7 +6,7 @@ if (file.exists("done")) unlink("done")
 
 # Create the Spark config and give access to our connector jar file
 config <- spark_config()
-config$sparklyr.jars.default <- "../../connector/target/scala-2.12/spark-vertica-connector-assembly-3.3.0.jar"
+config$sparklyr.jars.default <- "../../connector/target/scala-2.12/spark-vertica-connector-assembly-3.3.1.jar"
 
 # Submit a new Spark job that executes sparkapp.r with Spark version 3.1
 spark_submit(master = "spark://localhost:7077", version = "3.1", file = "sparkapp.r", config = config)
diff --git a/functional-tests/README.md b/functional-tests/README.md
index 810f0bd6b..c4d9e93c8 100644
--- a/functional-tests/README.md
+++ b/functional-tests/README.md
@@ -8,7 +8,7 @@ Configuration is specified with application.conf (HOCON format)
 From the functional-tests directory, run the following commands:
 ```
 mkdir lib
-cd ../connector && sbt assembly && cp target/scala-2.12/spark-vertica-connector-assembly-3.3.0.jar ../functional-tests/lib && cd ../functional-tests
+cd ../connector && sbt assembly && cp target/scala-2.12/spark-vertica-connector-assembly-3.3.1.jar ../functional-tests/lib && cd ../functional-tests
 ```
 This will create a lib folder and then build and copy the connector JAR file to it.
 
diff --git a/version.properties b/version.properties
index 8fb28c370..9bde1b9e5 100644
--- a/version.properties
+++ b/version.properties
@@ -1,2 +1,2 @@
-connector-version=3.3.0
+connector-version=3.3.1