diff --git a/data/data-pipeline/data_pipeline/etl/sources/cdc_life_expectancy/etl.py b/data/data-pipeline/data_pipeline/etl/sources/cdc_life_expectancy/etl.py
index 6325f972..e0d51952 100644
--- a/data/data-pipeline/data_pipeline/etl/sources/cdc_life_expectancy/etl.py
+++ b/data/data-pipeline/data_pipeline/etl/sources/cdc_life_expectancy/etl.py
@@ -10,6 +10,8 @@ from data_pipeline.etl.score.etl_utils import (
 from data_pipeline.score import field_names
 from data_pipeline.utils import download_file_from_url
 from data_pipeline.utils import get_module_logger
+from data_pipeline.config import settings
+
 
 logger = get_module_logger(__name__)
 
@@ -20,7 +22,11 @@ class CDCLifeExpectancy(ExtractTransformLoad):
 
     NAME = "cdc_life_expectancy"
 
-    USA_FILE_URL: str = "https://ftp.cdc.gov/pub/Health_Statistics/NCHS/Datasets/NVSS/USALEEP/CSV/US_A.CSV"
+    if settings.DATASOURCE_RETRIEVAL_FROM_AWS:
+        USA_FILE_URL = f"{settings.AWS_JUSTICE40_DATASOURCES_URL}/raw-data-sources/cdc_file_expectancy/US_A.CSV"
+    else:
+        USA_FILE_URL: str = "https://ftp.cdc.gov/pub/Health_Statistics/NCHS/Datasets/NVSS/USALEEP/CSV/US_A.CSV"
+
     LOAD_YAML_CONFIG: bool = False
     LIFE_EXPECTANCY_FIELD_NAME = "Life expectancy (years)"
     INPUT_GEOID_TRACT_FIELD_NAME = "Tract ID"
@@ -29,8 +35,12 @@ class CDCLifeExpectancy(ExtractTransformLoad):
 
     # For some reason, LEEP does not include Maine or Wisconsin in its "All of
     # USA" file. Load these separately.
-    WISCONSIN_FILE_URL: str = "https://ftp.cdc.gov/pub/Health_Statistics/NCHS/Datasets/NVSS/USALEEP/CSV/WI_A.CSV"
-    MAINE_FILE_URL: str = "https://ftp.cdc.gov/pub/Health_Statistics/NCHS/Datasets/NVSS/USALEEP/CSV/ME_A.CSV"
+    if settings.DATASOURCE_RETRIEVAL_FROM_AWS:
+        WISCONSIN_FILE_URL: str = f"{settings.AWS_JUSTICE40_DATASOURCES_URL}/raw-data-sources/cdc_file_expectancy/WI_A.CSV"
+        MAINE_FILE_URL: str = f"{settings.AWS_JUSTICE40_DATASOURCES_URL}/raw-data-sources/cdc_file_expectancy/ME_A.CSV"
+    else:
+        WISCONSIN_FILE_URL: str = "https://ftp.cdc.gov/pub/Health_Statistics/NCHS/Datasets/NVSS/USALEEP/CSV/WI_A.CSV"
+        MAINE_FILE_URL: str = "https://ftp.cdc.gov/pub/Health_Statistics/NCHS/Datasets/NVSS/USALEEP/CSV/ME_A.CSV"
 
     TRACT_INPUT_COLUMN_NAME = "Tract ID"
     STATE_INPUT_COLUMN_NAME = "STATE2KX"
diff --git a/data/data-pipeline/data_pipeline/etl/sources/cdc_places/etl.py b/data/data-pipeline/data_pipeline/etl/sources/cdc_places/etl.py
index 62c94981..fc5589ce 100644
--- a/data/data-pipeline/data_pipeline/etl/sources/cdc_places/etl.py
+++ b/data/data-pipeline/data_pipeline/etl/sources/cdc_places/etl.py
@@ -6,6 +6,7 @@ from data_pipeline.etl.base import ValidGeoLevel
 from data_pipeline.score import field_names
 from data_pipeline.utils import download_file_from_url
 from data_pipeline.utils import get_module_logger
+from data_pipeline.config import settings
 
 logger = get_module_logger(__name__)
 
@@ -22,7 +23,14 @@ class CDCPlacesETL(ExtractTransformLoad):
     def __init__(self):
         self.OUTPUT_PATH = self.DATA_PATH / "dataset" / "cdc_places"
 
-        self.CDC_PLACES_URL = "https://chronicdata.cdc.gov/api/views/cwsq-ngmh/rows.csv?accessType=DOWNLOAD"
+        if settings.DATASOURCE_RETRIEVAL_FROM_AWS:
+            self.CDC_PLACES_URL = (
+                f"{settings.AWS_JUSTICE40_DATASOURCES_URL}/raw-data-sources/"
+                "cdc_places/PLACES__Local_Data_for_Better_Health__Census_Tract_Data_2021_release.csv"
+            )
+        else:
+            self.CDC_PLACES_URL = "https://chronicdata.cdc.gov/api/views/cwsq-ngmh/rows.csv?accessType=DOWNLOAD"
+
         self.COLUMNS_TO_KEEP: typing.List[str] = [
             self.GEOID_TRACT_FIELD_NAME,
             field_names.DIABETES_FIELD,
diff --git a/data/data-pipeline/data_pipeline/etl/sources/cdc_svi_index/etl.py b/data/data-pipeline/data_pipeline/etl/sources/cdc_svi_index/etl.py
index 6379ceda..c4f9853e 100644
--- a/data/data-pipeline/data_pipeline/etl/sources/cdc_svi_index/etl.py
+++ b/data/data-pipeline/data_pipeline/etl/sources/cdc_svi_index/etl.py
@@ -3,6 +3,7 @@ import pandas as pd
 from data_pipeline.etl.base import ExtractTransformLoad
 from data_pipeline.score import field_names
 from data_pipeline.utils import get_module_logger
+from data_pipeline.config import settings
 
 logger = get_module_logger(__name__)
 
@@ -16,7 +17,13 @@ class CDCSVIIndex(ExtractTransformLoad):
     def __init__(self):
         self.OUTPUT_PATH = self.DATA_PATH / "dataset" / "cdc_svi_index"
 
-        self.CDC_SVI_INDEX_URL = "https://svi.cdc.gov/Documents/Data/2018_SVI_Data/CSV/SVI2018_US.csv"
+        if settings.DATASOURCE_RETRIEVAL_FROM_AWS:
+            self.CDC_SVI_INDEX_URL = (
+                f"{settings.AWS_JUSTICE40_DATASOURCES_URL}/raw-data-sources/"
+                "cdc_svi_index/SVI2018_US.csv"
+            )
+        else:
+            self.CDC_SVI_INDEX_URL = "https://svi.cdc.gov/Documents/Data/2018_SVI_Data/CSV/SVI2018_US.csv"
 
         self.CDC_RPL_THEMES_THRESHOLD = 0.90
 
diff --git a/data/data-pipeline/data_pipeline/etl/sources/child_opportunity_index/etl.py b/data/data-pipeline/data_pipeline/etl/sources/child_opportunity_index/etl.py
index 770e4a5e..c3ecb5fb 100644
--- a/data/data-pipeline/data_pipeline/etl/sources/child_opportunity_index/etl.py
+++ b/data/data-pipeline/data_pipeline/etl/sources/child_opportunity_index/etl.py
@@ -4,6 +4,7 @@ import pandas as pd
 from data_pipeline.etl.base import ExtractTransformLoad
 from data_pipeline.etl.base import ValidGeoLevel
 from data_pipeline.utils import get_module_logger
+from data_pipeline.config import settings
 
 logger = get_module_logger(__name__)
 
@@ -37,10 +38,16 @@ class ChildOpportunityIndex(ExtractTransformLoad):
     PUERTO_RICO_EXPECTED_IN_DATA = False
 
     def __init__(self):
-        self.SOURCE_URL = (
-            "https://data.diversitydatakids.org/datastore/zip/f16fff12-b1e5-4f60-85d3-"
-            "3a0ededa30a0?format=csv"
-        )
+        if settings.DATASOURCE_RETRIEVAL_FROM_AWS:
+            self.SOURCE_URL = (
+                f"{settings.AWS_JUSTICE40_DATASOURCES_URL}/raw-data-sources/"
+                "child_opportunity_index/raw.zip"
+            )
+        else:
+            self.SOURCE_URL = (
+                "https://data.diversitydatakids.org/datastore/zip/f16fff12-b1e5-4f60-85d3-"
+                "3a0ededa30a0?format=csv"
+            )
 
         # TODO: Decide about nixing this
         self.TRACT_INPUT_COLUMN_NAME = self.INPUT_GEOID_TRACT_FIELD_NAME
diff --git a/data/data-pipeline/data_pipeline/etl/sources/dot_travel_composite/etl.py b/data/data-pipeline/data_pipeline/etl/sources/dot_travel_composite/etl.py
index 62622c3e..f68c2d78 100644
--- a/data/data-pipeline/data_pipeline/etl/sources/dot_travel_composite/etl.py
+++ b/data/data-pipeline/data_pipeline/etl/sources/dot_travel_composite/etl.py
@@ -5,6 +5,7 @@ import pandas as pd
 from data_pipeline.etl.base import ExtractTransformLoad
 from data_pipeline.etl.base import ValidGeoLevel
 from data_pipeline.utils import get_module_logger
+from data_pipeline.config import settings
 
 logger = get_module_logger(__name__)
 
@@ -13,10 +14,15 @@ class TravelCompositeETL(ExtractTransformLoad):
     """ETL class for the DOT Travel Disadvantage Dataset"""
 
     NAME = "travel_composite"
-    # Commenting below temporarily to get stating going. In the next PR we'll have env vars to control
-    # data source endpoints to be either "source" or "aws"
-    # SOURCE_URL = "https://www.transportation.gov/sites/dot.gov/files/Shapefile_and_Metadata.zip"
-    SOURCE_URL = "https://justice40-data.s3.amazonaws.com/data-sources/raw-data-sources/dot_travel_composite/Shapefile_and_Metadata.zip"
+
+    if settings.DATASOURCE_RETRIEVAL_FROM_AWS:
+        SOURCE_URL = (
+            f"{settings.AWS_JUSTICE40_DATASOURCES_URL}/raw-data-sources/"
+            "dot_travel_composite/Shapefile_and_Metadata.zip"
+        )
+    else:
+        SOURCE_URL = "https://www.transportation.gov/sites/dot.gov/files/Shapefile_and_Metadata.zip"
+
     GEO_LEVEL = ValidGeoLevel.CENSUS_TRACT
     PUERTO_RICO_EXPECTED_IN_DATA = False
     LOAD_YAML_CONFIG: bool = True
diff --git a/data/data-pipeline/data_pipeline/etl/sources/epa_rsei/etl.py b/data/data-pipeline/data_pipeline/etl/sources/epa_rsei/etl.py
index a6294c36..1788b835 100644
--- a/data/data-pipeline/data_pipeline/etl/sources/epa_rsei/etl.py
+++ b/data/data-pipeline/data_pipeline/etl/sources/epa_rsei/etl.py
@@ -5,6 +5,7 @@ from data_pipeline.etl.base import ExtractTransformLoad
 from data_pipeline.score import field_names
 from data_pipeline.utils import get_module_logger
 from data_pipeline.utils import unzip_file_from_url
+from data_pipeline.config import settings
 
 logger = get_module_logger(__name__)
 
@@ -21,7 +22,17 @@ class EPARiskScreeningEnvironmentalIndicatorsETL(ExtractTransformLoad):
     """
 
     def __init__(self):
-        self.AGGREGATED_RSEI_SCORE_FILE_URL = "http://abt-rsei.s3.amazonaws.com/microdata2019/census_agg/CensusMicroTracts2019_2019_aggregated.zip"
+
+        if settings.DATASOURCE_RETRIEVAL_FROM_AWS:
+            self.AGGREGATED_RSEI_SCORE_FILE_URL = (
+                f"{settings.AWS_JUSTICE40_DATASOURCES_URL}/raw-data-sources/"
+                "epa_rsei/CensusMicroTracts2019_2019_aggregated.zip"
+            )
+        else:
+            self.AGGREGATED_RSEI_SCORE_FILE_URL = (
+                "http://abt-rsei.s3.amazonaws.com/microdata2019/"
+                "census_agg/CensusMicroTracts2019_2019_aggregated.zip"
+            )
 
         self.OUTPUT_PATH: Path = self.DATA_PATH / "dataset" / "epa_rsei"
         self.EPA_RSEI_SCORE_THRESHOLD_CUTOFF = 0.75
diff --git a/data/data-pipeline/data_pipeline/etl/sources/hud_housing/etl.py b/data/data-pipeline/data_pipeline/etl/sources/hud_housing/etl.py
index 5c00e24a..0e08d225 100644
--- a/data/data-pipeline/data_pipeline/etl/sources/hud_housing/etl.py
+++ b/data/data-pipeline/data_pipeline/etl/sources/hud_housing/etl.py
@@ -2,6 +2,7 @@ import pandas as pd
 from data_pipeline.etl.base import ExtractTransformLoad
 from data_pipeline.etl.base import ValidGeoLevel
 from data_pipeline.utils import get_module_logger
+from data_pipeline.config import settings
 
 logger = get_module_logger(__name__)
 
@@ -12,7 +13,15 @@ class HudHousingETL(ExtractTransformLoad):
 
     def __init__(self):
         self.GEOID_TRACT_FIELD_NAME = "GEOID10_TRACT"
-        self.HOUSING_FTP_URL = "https://www.huduser.gov/portal/datasets/cp/2014thru2018-140-csv.zip"
+
+        if settings.DATASOURCE_RETRIEVAL_FROM_AWS:
+            self.HOUSING_FTP_URL = (
+                f"{settings.AWS_JUSTICE40_DATASOURCES_URL}/raw-data-sources/"
+                "hud_housing/2014thru2018-140-csv.zip"
+            )
+        else:
+            self.HOUSING_FTP_URL = "https://www.huduser.gov/portal/datasets/cp/2014thru2018-140-csv.zip"
+
         self.HOUSING_ZIP_FILE_DIR = self.get_tmp_path()
 
         # We measure households earning less than 80% of HUD Area Median Family Income by county
diff --git a/data/data-pipeline/data_pipeline/etl/sources/hud_recap/etl.py b/data/data-pipeline/data_pipeline/etl/sources/hud_recap/etl.py
index 9c32c3a8..447202f3 100644
--- a/data/data-pipeline/data_pipeline/etl/sources/hud_recap/etl.py
+++ b/data/data-pipeline/data_pipeline/etl/sources/hud_recap/etl.py
@@ -4,13 +4,24 @@ from data_pipeline.config import settings
 from data_pipeline.etl.base import ExtractTransformLoad
 from data_pipeline.utils import get_module_logger
 
+
 logger = get_module_logger(__name__)
 
 
 class HudRecapETL(ExtractTransformLoad):
     def __init__(self):
-        # pylint: disable=line-too-long
-        self.HUD_RECAP_CSV_URL = "https://opendata.arcgis.com/api/v3/datasets/56de4edea8264fe5a344da9811ef5d6e_0/downloads/data?format=csv&spatialRefId=4326"  # noqa: E501
+
+        if settings.DATASOURCE_RETRIEVAL_FROM_AWS:
+            self.HUD_RECAP_CSV_URL = (
+                f"{settings.AWS_JUSTICE40_DATASOURCES_URL}/raw-data-sources/"
+                "hud_recap/Racially_or_Ethnically_Concentrated_Areas_of_Poverty__R_ECAPs_.csv"
+            )
+        else:
+            self.HUD_RECAP_CSV_URL = (
+                "https://opendata.arcgis.com/api/v3/datasets/"
+                "56de4edea8264fe5a344da9811ef5d6e_0/downloads/data?format=csv&spatialRefId=4326"
+            )
+
         self.HUD_RECAP_CSV = (
             self.get_tmp_path()
             / "Racially_or_Ethnically_Concentrated_Areas_of_Poverty__R_ECAPs_.csv"
diff --git a/data/data-pipeline/data_pipeline/etl/sources/mapping_inequality/etl.py b/data/data-pipeline/data_pipeline/etl/sources/mapping_inequality/etl.py
index ee6bc0c6..d9caac8d 100644
--- a/data/data-pipeline/data_pipeline/etl/sources/mapping_inequality/etl.py
+++ b/data/data-pipeline/data_pipeline/etl/sources/mapping_inequality/etl.py
@@ -6,6 +6,7 @@ from data_pipeline.etl.base import ExtractTransformLoad
 from data_pipeline.score import field_names
 from data_pipeline.utils import download_file_from_url
 from data_pipeline.utils import get_module_logger
+from data_pipeline.config import settings
 
 logger = get_module_logger(__name__)
 
@@ -22,10 +23,16 @@ class MappingInequalityETL(ExtractTransformLoad):
     """
 
     def __init__(self):
-        self.MAPPING_INEQUALITY_CSV_URL = (
-            "https://raw.githubusercontent.com/americanpanorama/Census_HOLC_Research/"
-            "main/2010_Census_Tracts/holc_tract_lookup.csv"
-        )
+        if settings.DATASOURCE_RETRIEVAL_FROM_AWS:
+            self.MAPPING_INEQUALITY_CSV_URL = (
+                f"{settings.AWS_JUSTICE40_DATASOURCES_URL}/raw-data-sources/"
+                "mapping_inequality/holc_tract_lookup.csv"
+            )
+        else:
+            self.MAPPING_INEQUALITY_CSV_URL = (
+                "https://raw.githubusercontent.com/americanpanorama/Census_HOLC_Research/"
+                "main/2010_Census_Tracts/holc_tract_lookup.csv"
+            )
         self.MAPPING_INEQUALITY_CSV = (
             self.get_tmp_path() / "holc_tract_lookup.csv"
         )
diff --git a/data/data-pipeline/data_pipeline/etl/sources/national_risk_index/etl.py b/data/data-pipeline/data_pipeline/etl/sources/national_risk_index/etl.py
index d9b87d3d..ae31dab1 100644
--- a/data/data-pipeline/data_pipeline/etl/sources/national_risk_index/etl.py
+++ b/data/data-pipeline/data_pipeline/etl/sources/national_risk_index/etl.py
@@ -6,6 +6,7 @@ import pandas as pd
 from data_pipeline.etl.base import ExtractTransformLoad
 from data_pipeline.etl.base import ValidGeoLevel
 from data_pipeline.utils import get_module_logger
+from data_pipeline.config import settings
 
 logger = get_module_logger(__name__)
 
@@ -14,7 +15,18 @@ class NationalRiskIndexETL(ExtractTransformLoad):
     """ETL class for the FEMA National Risk Index dataset"""
 
     NAME = "national_risk_index"
-    SOURCE_URL = "https://hazards.fema.gov/nri/Content/StaticDocuments/DataDownload//NRI_Table_CensusTracts/NRI_Table_CensusTracts.zip"
+
+    if settings.DATASOURCE_RETRIEVAL_FROM_AWS:
+        SOURCE_URL = (
+            f"{settings.AWS_JUSTICE40_DATASOURCES_URL}/raw-data-sources/"
+            "national_risk_index/NRI_Table_CensusTracts.zip"
+        )
+    else:
+        SOURCE_URL = (
+            "https://hazards.fema.gov/nri/Content/StaticDocuments/DataDownload/"
+            "NRI_Table_CensusTracts/NRI_Table_CensusTracts.zip"
+        )
+
     GEO_LEVEL = ValidGeoLevel.CENSUS_TRACT
     PUERTO_RICO_EXPECTED_IN_DATA = False
     LOAD_YAML_CONFIG: bool = True
diff --git a/data/data-pipeline/data_pipeline/etl/sources/us_army_fuds/etl.py b/data/data-pipeline/data_pipeline/etl/sources/us_army_fuds/etl.py
index 3b46fcc8..e915d7d9 100644
--- a/data/data-pipeline/data_pipeline/etl/sources/us_army_fuds/etl.py
+++ b/data/data-pipeline/data_pipeline/etl/sources/us_army_fuds/etl.py
@@ -8,6 +8,7 @@ from data_pipeline.etl.base import ValidGeoLevel
 from data_pipeline.etl.sources.geo_utils import add_tracts_for_geometries
 from data_pipeline.utils import download_file_from_url
 from data_pipeline.utils import get_module_logger
+from data_pipeline.config import settings
 
 logger = get_module_logger(__name__)
 
@@ -26,11 +27,19 @@ class USArmyFUDS(ExtractTransformLoad):
     ISLAND_AREAS_EXPECTED_IN_DATA = True
 
     def __init__(self):
-        self.FILE_URL: str = (
-            "https://opendata.arcgis.com/api/v3/datasets/"
-            "3f8354667d5b4b1b8ad7a6e00c3cf3b1_1/downloads/"
-            "data?format=geojson&spatialRefId=4326&where=1%3D1"
-        )
+
+        if settings.DATASOURCE_RETRIEVAL_FROM_AWS:
+            self.FILE_URL = (
+                f"{settings.AWS_JUSTICE40_DATASOURCES_URL}/raw-data-sources/"
+                "us_army_fuds/Formerly_Used_Defense_Sites_(FUDS)_"
+                "all_data_reported_to_Congress_in_FY2020.geojson"
+            )
+        else:
+            self.FILE_URL: str = (
+                "https://opendata.arcgis.com/api/v3/datasets/"
+                "3f8354667d5b4b1b8ad7a6e00c3cf3b1_1/downloads/"
+                "data?format=geojson&spatialRefId=4326&where=1%3D1"
+            )
 
         self.OUTPUT_PATH: Path = self.DATA_PATH / "dataset" / "us_army_fuds"
 
diff --git a/data/data-pipeline/poetry.lock b/data/data-pipeline/poetry.lock
index 8e2776d8..793c0702 100644
--- a/data/data-pipeline/poetry.lock
+++ b/data/data-pipeline/poetry.lock
@@ -346,7 +346,7 @@ conda = ["pyyaml"]
 
 [[package]]
 name = "dynaconf"
-version = "3.1.9"
+version = "3.1.11"
 description = "The dynamic configurator for your Python Project"
 category = "main"
 optional = false
diff --git a/data/data-pipeline/settings.toml b/data/data-pipeline/settings.toml
index ce67e23e..d6e88d76 100644
--- a/data/data-pipeline/settings.toml
+++ b/data/data-pipeline/settings.toml
@@ -1,6 +1,7 @@
 [default]
 AWS_JUSTICE40_DATASOURCES_URL = "https://justice40-data.s3.amazonaws.com/data-sources"
 AWS_JUSTICE40_DATAPIPELINE_URL = "https://justice40-data.s3.amazonaws.com/data-pipeline"
+DATASOURCE_RETRIEVAL_FROM_AWS = true
 
 [development]