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 fa786510..585595cf 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
@@ -2,6 +2,7 @@ from pathlib import Path
 import pandas as pd
 from data_pipeline.etl.base import ExtractTransformLoad
 from data_pipeline.utils import get_module_logger, zip_files
+from data_pipeline.score import field_names
 
 
 from data_pipeline.etl.sources.census.etl_utils import (
@@ -179,7 +180,9 @@ class PostScoreETL(ExtractTransformLoad):
         )
 
         # list the null score tracts
-        null_tract_df = merged_df[merged_df["Score E (percentile)"].isnull()]
+        null_tract_df = merged_df[
+            merged_df[field_names.SCORE_L_COMMUNITIES].isnull()
+        ]
 
         # subtract data sets
         # this follows the XOR pattern outlined here:
@@ -267,7 +270,9 @@ class PostScoreETL(ExtractTransformLoad):
 
         # Rename score column
         downloadable_df_copy = downloadable_df.rename(
-            columns={"Score G (communities)": "Community of focus (v0.1)"},
+            columns={
+                field_names.SCORE_L_COMMUNITIES: "Community of focus (v0.1)"
+            },
             inplace=False,
         )