diff --git a/data/data-pipeline/data_pipeline/etl/score/constants.py b/data/data-pipeline/data_pipeline/etl/score/constants.py
index 9ba1f05c..f63e16b4 100644
--- a/data/data-pipeline/data_pipeline/etl/score/constants.py
+++ b/data/data-pipeline/data_pipeline/etl/score/constants.py
@@ -39,7 +39,7 @@ DATA_SCORE_TILES_FILE_PATH = DATA_SCORE_TILES_DIR / "usa.csv"
 SCORE_DOWNLOADABLE_DIR = DATA_SCORE_DIR / "downloadable"
 SCORE_DOWNLOADABLE_CSV_FILE_PATH = SCORE_DOWNLOADABLE_DIR / "usa.csv"
 SCORE_DOWNLOADABLE_EXCEL_FILE_PATH = SCORE_DOWNLOADABLE_DIR / "usa.xlsx"
-SCORE_DOWNLOADABLE_ZIP_FILE_PATH = SCORE_DOWNLOADABLE_DIR / "Screening Tool Data.zip"
+SCORE_DOWNLOADABLE_ZIP_FILE_PATH = SCORE_DOWNLOADABLE_DIR / "Screening_Tool_Data.zip"
 
 # Column subsets
 CENSUS_COUNTIES_COLUMNS = ["USPS", "GEOID", "NAME"]
@@ -104,5 +104,7 @@ DOWNLOADABLE_SCORE_COLUMNS = [
     "GEOID10",
     "County Name",
     "State Name",
+    "Score D (percentile)",
+    "Score D (top 25th percentile)",
     *DOWNLOADABLE_SCORE_INDICATOR_COLUMNS_FULL,
 ]
diff --git a/data/data-pipeline/data_pipeline/etl/score/etl_score_post.py b/data/data-pipeline/data_pipeline/etl/score/etl_score_post.py
index 80b49e13..e5e77f0b 100644
--- a/data/data-pipeline/data_pipeline/etl/score/etl_score_post.py
+++ b/data/data-pipeline/data_pipeline/etl/score/etl_score_post.py
@@ -219,9 +219,7 @@ class PostScoreETL(ExtractTransformLoad):
         self, score_tiles_df: pd.DataFrame, tile_score_path: Path
     ) -> None:
         logger.info("Saving Tile Score CSV")
-        # TODO: check which are the columns we'll use
-        # Related to: https://github.com/usds/justice40-tool/issues/302
-        tile_score_path.mkdir(parents=True, exist_ok=True)
+        tile_score_path.parent.mkdir(parents=True, exist_ok=True)
         score_tiles_df.to_csv(tile_score_path, index=False)
 
     def _load_downloadable_zip(
@@ -230,9 +228,9 @@ class PostScoreETL(ExtractTransformLoad):
         logger.info("Saving Downloadable CSV")
 
         downloadable_info_path.mkdir(parents=True, exist_ok=True)
-        csv_path = downloadable_info_path / "usa.csv"
-        excel_path = downloadable_info_path / "usa.xlsx"
-        zip_path = downloadable_info_path / "Screening Tool Data.zip"
+        csv_path = constants.SCORE_DOWNLOADABLE_CSV_FILE_PATH
+        excel_path = constants.SCORE_DOWNLOADABLE_EXCEL_FILE_PATH
+        zip_path = constants.SCORE_DOWNLOADABLE_ZIP_FILE_PATH
 
         logger.info("Writing downloadable csv")
         downloadable_df.to_csv(csv_path, index=False)
diff --git a/data/data-pipeline/data_pipeline/etl/score/tests/snapshots/downloadable_data_expected.pkl b/data/data-pipeline/data_pipeline/etl/score/tests/snapshots/downloadable_data_expected.pkl
index 44e878fa..ba72a170 100644
Binary files a/data/data-pipeline/data_pipeline/etl/score/tests/snapshots/downloadable_data_expected.pkl and b/data/data-pipeline/data_pipeline/etl/score/tests/snapshots/downloadable_data_expected.pkl differ